diff --git a/search-index.json b/search-index.json
index c4b715b..2cc2d6c 100644
--- a/search-index.json
+++ b/search-index.json
@@ -1 +1 @@
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Syntax Support: Compatible with common ElasticSearch syntax (note: ip_range and date_range can only be queried using the querystring syntax in the search box). Sampling Function: For queries with hit results exceeding the threshold, it supports dynamic calculation of sampling and result restoration to improve query performance and ensure that the basic trend of the chart is consistent with the real data trend (the larger the flow control threshold, the closer the real chart trend is). Cache Function: Supports using ElasticSearch to cache results to improve the performance of repeated queries. Time Round Function: Supports rounding query time, for example, round 20 seconds (example: if the query time is in seconds 0-19, it will automatically round to 0; if it is in seconds 20-39, it will automatically round to 20 seconds, for example, if the query time is from 01:50:15 to 05:52:47, it will automatically adjust to 01:50:00 to 05:52:40). Used in conjunction with the cache function, it can effectively alleviate the pressure on ClickHouse caused by concurrent queries of the same statement by multiple users. Blacklist Function: Supports setting a blacklist to prevent complex statements from causing pressure on ClickHouse. Query Template Function: Supports syntax monitoring after removing time to facilitate quick problem location. Used in conjunction with the blacklist function, it can effectively ensure the stability of ClickHouse. Query Circuit Breaker: Supports advanced features such as configuring the maximum query time range. 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To check, please run:java -version: $ java -versionjava version \"17.0.5\" Copy The proxy service depends on the ES, CK, and Kibana services, which need to be prepared in advance. The following steps only include querying data from CK and do not include writing data to CK. 1）Create a database and a table To initialize database and table structures in ClickHouse, please refer to:api-docs Detailed explanation of creating a table 2）Start CKibana To modify the ES configuration in CKibana, you need to change it to your own ES information. 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Other fields should be added as needed based on the query conditions of the business itself. Here is an example of a table creation statement. create database ckibana;use ckibana;CREATE TABLE ckibana.table_local( `request_method` LowCardinality(String), `request_time` Float64, `http_host` String, `@timestamp` UInt64, `ck_assembly_extension` String, INDEX timestamp_index `@timestamp` TYPE minmax GRANULARITY 8192)ENGINE = MergeTreePARTITION BY (toYYYYMMDD(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')), toHour(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')))ORDER BY (`http_host`)SETTINGS in_memory_parts_enable_wal = 0, index_granularity = 8192;CREATE TABLE IF NOT EXISTS ckibana.table_all AS ckibana.table_local ENGINE Distributed('clickhouse_cluster', ckibana, table_local, rand()); Copy When using the sampling feature, you need to modify the ORDER BY and SAMPLE BY statements in the table creation statement. For more details, please refer to the following resources:clickhouse doc 。 Note that the sampling field can be a user-defined field, but the field must be of type UInt64. It is recommended to use the @timestamp field as the sampling field instead of creating an additional field. create database ckibana;use ckibana;CREATE TABLE ckibana.table_local( `request_method` LowCardinality(String), `request_time` Float64, `http_host` String, `@timestamp` UInt64, `ck_assembly_extension` String, INDEX timestamp_index `@timestamp` TYPE minmax GRANULARITY 8192)ENGINE = MergeTreePARTITION BY (toYYYYMMDD(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')), toHour(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')))ORDER BY (`http_host`, intHash64(`@timestamp`))SAMPLE BY intHash64(`@timestamp`)SETTINGS in_memory_parts_enable_wal = 0, index_granularity = 8192;CREATE TABLE IF NOT EXISTS ckibana.table_all AS ckibana.table_local ENGINE Distributed('clickhouse_cluster', ckibana, table_local, rand()); Copy","s":"Table creation instructions","u":"/ckibana-docs/en/api-docs","h":"#table-creation-instructions","p":22},{"i":32,"t":"By default, the index name for this is proxy-settings. Detailed explanation of parameters​ To update the Elasticsearch metadata cluster configuration, the following interface is provided by CKibana. 1）Updating ClickHouse configuration curl --location --request POST 'localhost:8080/config/updateCk?url=ckUrl&user=default&pass=default&defaultCkDatabase=ops' Copy 2）Updating Elasticsearch configuration curl --location --request POST 'localhost:8080/config/updateEs?host=esHost&headers=key:value,key2:value2' Copy 3）Updating whitelist index curl --location --request POST 'localhost:8080/config/updateWhiteIndexList?list=index1,index2' Copy 4）Updating blacklist index curl --location --request POST 'localhost:8080/config/updateBlackIndexList?list=index1,index2' Copy 5）Updating sampling index curl --location --request POST 'localhost:8080/config/updateSampleIndexList?list=index1,index2' Copy 6）Updating sampleCountMaxThreshold curl --location --request POST 'localhost:8080/config/updateSampleCountMaxThreshold?sampleCountMaxThreshold=1500000' Copy 7）Updating useCache curl --location --request POST 'localhost:8080/config/updateUseCache?useCache=true' Copy 8）Updating roundAbleMinPeriod curl --location --request POST 'localhost:8080/config/updateRoundAbleMinPeriod?roundAbleMinPeriod=1200000' Copy 9）Updating maxTimeRange curl --location --request POST 'localhost:8080/config/updateMaxTimeRange?maxTimeRange=864000000' Copy 10）Updating enableMonitoring curl --location --request POST 'localhost:8080/config/updateEnableMonitoring?enableMonitoring=false' Copy 11）Updating msearchThreadPoolCoreSize curl --location --request POST 'localhost:8080/config/updateMsearchThreadPoolCoreSize?msearchThreadPoolCoreSize=4' Copy 12）Get configuration curl --location 'localhost:8080/config/all' Copy 13）Full update configuration interface curl --location 'localhost:8080/config/all' \\--header 'Content-Type: application/json' \\--data '{ \"query\":{ \"sampleIndexPatterns\":[ \"index1\", \"index2\" ], \"sampleCountMaxThreshold\":\"1500000\", \"useCache\":false }, \"proxy\":{ \"roundAbleMinPeriod\":120000, \"maxTimeRange\":86400000, \"enableMonitoring\":true, \"blackIndexList\":[ \"index1\", \"index2\" ], \"whiteIndexList\":[ \"index1\", \"index2\" ], \"es\":{ \"host\":\"esHost \"headers\":[ { \"Authorization\":\"yourEsClusterAuthorization\" } ] }, \"ck\":{ \"url\":\"ckUrl\", \"user\":\"default\", \"pass\":\"default\", \"defaultCkDatabase\":\"ops\" } }}' Copy","s":"proxy-settings","u":"/ckibana-docs/en/api-docs","h":"#proxy-settings","p":22},{"i":34,"t":"Provide monitoring index. Can be enabled through configuration. This index can be used for SQL monitoring on Kibana.","s":"proxy-monitor","u":"/ckibana-docs/en/api-docs","h":"#proxy-monitor","p":22},{"i":36,"t":"Index query SQL blacklist. Can be enabled through configuration. This index can be directly operated through Kibana proxy： GET​ curl --location 'http://localhost:8080/proxy/_black_list' Copy Insert​ range: Query interval (in milliseconds) sql: Query statement with time range exclusion. Can be obtained in monitor logs. curl --location 'http://localhost:8080/proxy/_black_list' \\--header 'Content-Type: application/json' \\--data-raw '{ \"range\": \"900000\", \"sql\": \"((`@timestamp` = 1698293120000))\"}' Copy Delete​ curl --location --request DELETE 'http://localhost:8080/proxy/_black_list/{id}' Copy","s":"proxy-black-list","u":"/ckibana-docs/en/api-docs","h":"#proxy-black-list","p":22},{"i":38,"t":"On this page","s":"troubleshooting","u":"/ckibana-docs/en/troubleshooting","h":"","p":37},{"i":40,"t":"The high probability of this error is that the initialization configuration is not correct. 1）Check if the metadata cluster in the configuration is correct 2）Check the elasticsearchHosts parameter in Kibana's configuration to see if the proxy address is correct and accessible. The following information should appear to indicate that the proxy configuration is correct","s":"1、Cannot open Kibana.","u":"/ckibana-docs/en/troubleshooting","h":"#1cannot-open-kibana","p":37},{"i":42,"t":"As shown in the picture, if there is no option to create an index pattern in the red box when creating an index pattern, the normal number of indices should be greater than 0.","s":"2、Unable to create an index pattern","u":"/ckibana-docs/en/troubleshooting","h":"#2unable-to-create-an-index-pattern","p":37},{"i":44,"t":"1）determine whether the input index pattern matches the ck table. The index pattern should be an exact match to the ck table name. 2）Check whether the configuration of the ClickHouse database is normal. 3）Using the SQL output from the logs, check whether the corresponding table can be queried in ClickHouse","s":"The troubleshooting steps are as follows:","u":"/ckibana-docs/en/troubleshooting","h":"#the-troubleshooting-steps-are-as-follows","p":37},{"i":46,"t":"The logic for matching the time field is: 1）Fields of type Date, such as DateTime64, will be recognized as time fields. 2）Alternatively, if the field name contains \"time\", such as (@timestamp UInt64), it will be recognized as a time field. Either of these conditions will be satisfied and the field will be recognized as a time field. If the time field cannot be selected, you need to check whether the fields in the ClickHouse table meet the matching logic.","s":"3、When creating an index pattern, the time field cannot be selected.","u":"/ckibana-docs/en/troubleshooting","h":"#3when-creating-an-index-pattern-the-time-field-cannot-be-selected","p":37},{"i":48,"t":"You can see the specific SQL query being executed by opening the F12 console and inspecting the response.","s":"4、Unable to retrieve data.","u":"/ckibana-docs/en/troubleshooting","h":"#4unable-to-retrieve-data","p":37},{"i":50,"t":"Specific analysis can be done based on system.query_log in ClickHouse, with a focus on the two indicators read_rows and read_bytes The processing plan includes: **1）Find the corresponding SQL query and add it to the CKibana blacklist. **2）Adjust the corresponding chart","s":"5、High CPU usage in ClickHouse","u":"/ckibana-docs/en/troubleshooting","h":"#5high-cpu-usage-in-clickhouse","p":37},{"i":52,"t":"On this page","s":"usercase","u":"/ckibana-docs/en/UserCase","h":"","p":51},{"i":57,"t":"curl --location --request POST 'localhost:8080/config/updateCk?url=ckUrl&user=default&pass=default&defaultCkDatabase=ops' Copy","s":"4、Configuring the ClickHouse connection information in CKibana.","u":"/ckibana-docs/en/UserCase","h":"#4configuring-the-clickhouse-connection-information-in-ckibana","p":51},{"i":61,"t":"When the data volume is relatively large, turn on sampling can effectively improve the query performance. Note: If the sampling threshold is set too low, the restored trend graph will be different from the real one.","s":"7、Enable Sampling","u":"/ckibana-docs/en/UserCase","h":"#7enable-sampling","p":51},{"i":63,"t":"You can monitor what syntaxes are being queried right now, and with the blacklist feature, you can effectively alleviate the problem of clickhouse resources being too high due to improper usage. Using monitoring metrics, you can make charts and graphs to increase observability. For example, the time consumed for each query:","s":"8、Enable query monitoring","u":"/ckibana-docs/en/UserCase","h":"#8enable-query-monitoring","p":51},{"i":65,"t":"You can round fetch the time, which works well with query caching to improve performance. Common case, kibana inside a group of users in the query the same question, when the query conditions are highly consistent, configure round can be very good to ease the pressure of ClickHouse.","s":"9、Configure round time","u":"/ckibana-docs/en/UserCase","h":"#9configure-round-time","p":51},{"i":67,"t":"When the query statement is consistent with the query time, the later query can hit the es cache very well, relieving the pressure on clickhouse. query.useCache: true Copy It can be seen that a hit to cache takes only 2ms, and 80ms in the case of no hit. This configuration is turned off by default, but we recommend turning it on as well. Using Elasticsearch as the underlying storage medium, of course, the storage cost will be correspondingly higher, you need to maintain the proxy-cache index life cycle to regularly clean up the cold data.","s":"10、Enable query cache","u":"/ckibana-docs/en/UserCase","h":"#10enable-query-cache","p":51},{"i":69,"t":"On this page","s":"简介","u":"/ckibana-docs/zh/","h":"","p":68},{"i":71,"t":"版本支持: 兼容ElasticSearch跟kibana 6.x、7.x、8.x 版本 语法支持: 兼容ElasticSearch常用语法(注: ip_range跟date_range仅可在搜索框中使用querystring语法查询) 采样功能: 对于命中结果超过阈值的查询,支持动态计算采样+还原结果,提高查询性能且保障图表趋势基本跟真实数据趋势一致(限流阈值越大跟真实图表趋势越接近)。 缓存功能: 支持使用ElasticSearch来做结果缓存,来提升重复查询的性能 时间Round功能: 支持round查询时间,比如20s的round(例子: 查询时间秒在0-19s则自动round到0,20s-39s自动round到20s,比如查询时间是从01:50:15到05:52:47,则自动调整为从01: 50:00到05:52:40),配合缓存功能使用可以很好的缓解多个用户并发查询相同语句造成ClickHouse的压力 黑名单功能: 支持设置黑名单来防止复杂语句造成ClickHouse压力 查询模板功能: 支持按照去除时间后的语法监控,方便快速定位问题,配合黑名单功能一起使用可以很好的保障ClickHouse 查询熔断: 支持配置最大查询时间范围等高级功能 支持的聚合语法：​","s":"功能特性","u":"/ckibana-docs/zh/","h":"#功能特性","p":68},{"i":74,"t":"要快速体验ckibana，可以通过docker-compose进行快速部署 ckibana-quick-start文档 # 进入docker-compose目录cd ckibana/docker-compose# 部署docker-compose up -d Copy 部署完成后，在浏览器访问kibana：http://127.0.0.1:5601/ 已内置了mock数据的流程，导入kibana配置文件（大盘、index-pattern等），就可以开始体验了！ 配置文件路径：docker-compose/quickstart-export.json 效果展示：","s":"quick start","u":"/ckibana-docs/zh/","h":"#quick-start","p":68},{"i":76,"t":"ckibana可以在所有主要操作系统上运行，需要安装Java JDK版本17或更高版本。要检查，请运行 java -version: $ java -versionjava version \"17.0.5\" Copy 代理服务依赖ES、CK、Kibana服务，需要提前准备好。以下只包含从ck查询数据步骤，不包含写数据到ck的步骤。 1）建库、建表 在ck中初始化库、表结构，可以参考api-docs 建表详解部分 2）启动ckibana 修改ckibana中的ES配置，需要改为自身的ES信息，配置文件路径为src/main/resources/application.yml metadata-config: hosts: your es metadata cluster hosts headers: headerKey: yourHeaderValue Copy 打包运行 或者 本地运行直接com.ly.ckibana.Bootstrap类即可 ### start ckibana$ nohup java -jar ckibana.jar > run.out 2>&1 &### check whether ckibana is successfully started$ tail -f ~/logs/app.logTomcat started on port(s): 8080 (http) with context path ''Started Bootstrap in 1.474 seconds Copy 3）启动kibana kibana的elasticsearchHosts参数配置为ckibana代理地址，这样就能走到代理服务中来 eg：elasticsearchHosts=http://ip:port Copy 4）配置index pattern白名单 配置了对应的白名单，才可以在下一步创建index pattern，可以参考api-docs 更新白名单索引接口 5）在kibana中创建index pattern 在kibana页面创建index pattern，名字跟1）的表名一致，且4）中配置白名单，然后就可以在kibana中进行查询了 eg：如果ck表名是table_test，则创建index pattern的名字就是table_test Copy 以上5步都操作完以后，就可以创建大盘，开始进行使用了","s":"本地运行 ckibana","u":"/ckibana-docs/zh/","h":"#本地运行-ckibana","p":68},{"i":78,"t":"分段查询: 支持自动拆分查询时间,可以充分利用缓存,提升查询性能","s":"TODO","u":"/ckibana-docs/zh/","h":"#todo","p":68},{"i":80,"t":"CKibane-docs","s":"文档地址","u":"/ckibana-docs/zh/","h":"#文档地址","p":68},{"i":82,"t":"愿意参与构建CKibana或者是需要交流问题可以加入微信群(企业版微信和个人版本微信均可)","s":"Contact","u":"/ckibana-docs/zh/","h":"#contact","p":68},{"i":84,"t":"Apache License, Version 2.0 Copyright (C) Apache Software Foundation","s":"License","u":"/ckibana-docs/zh/","h":"#license","p":68},{"i":86,"t":"On this page","s":"api-docs","u":"/ckibana-docs/zh/api-docs","h":"","p":85},{"i":88,"t":"该文件是一些基本配置，端口、日志等，核心的就是metadata-config参数了。 例子：metadata-config: hosts: your es metadata cluster hosts headers: Authorization: 'username password' Copy","s":"application文件","u":"/ckibana-docs/zh/api-docs","h":"#application文件","p":85},{"i":91,"t":"建表语句中的字段，时间字段是必需，如表中的@timestamp字段，作为在kibana创建index pattern时的时间选项，其它字段根据本身业务查询条件按需添加。 下面是一个建表语句的例子 create database ckibana;use ckibana;CREATE TABLE ckibana.table_local( `request_method` LowCardinality(String), `request_time` Float64, `http_host` String, `@timestamp` UInt64, `ck_assembly_extension` String, INDEX timestamp_index `@timestamp` TYPE minmax GRANULARITY 8192)ENGINE = MergeTreePARTITION BY (toYYYYMMDD(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')), toHour(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')))ORDER BY (`http_host`)SETTINGS in_memory_parts_enable_wal = 0, index_granularity = 8192;CREATE TABLE IF NOT EXISTS ckibana.table_all AS ckibana.table_local ENGINE Distributed('clickhouse_cluster', ckibana, table_local, rand()); Copy 当要使用采样功能时，需要在建表语句中修改ORDER BY、SAMPLE BY语句，更详细可以参考clickhouse官方说明 。 说明：采样字段可以是自己定义的字段，但是字段必须设置为UInt64类型，推荐还是使用@timestamp字段作为采样字段，不用额外创建字段 create database ckibana;use ckibana;CREATE TABLE ckibana.table_local( `request_method` LowCardinality(String), `request_time` Float64, `http_host` String, `@timestamp` UInt64, `ck_assembly_extension` String, INDEX timestamp_index `@timestamp` TYPE minmax GRANULARITY 8192)ENGINE = MergeTreePARTITION BY (toYYYYMMDD(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')), toHour(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')))ORDER BY (`http_host`, intHash64(`@timestamp`))SAMPLE BY intHash64(`@timestamp`)SETTINGS in_memory_parts_enable_wal = 0, index_granularity = 8192;CREATE TABLE IF NOT EXISTS ckibana.table_all AS ckibana.table_local ENGINE Distributed('clickhouse_cluster', ckibana, table_local, rand()); Copy","s":"建表说明","u":"/ckibana-docs/zh/api-docs","h":"#建表说明","p":85},{"i":95,"t":"默认该索引名为proxy-settings，如您使用一个元数据集群来管理多个kibana proxy，可以利用application.yml的metadata.config.tingsSuffix属性。 参数详解​ 更新ES元数据集群配置，ckibana提供如下接口 1）更新CK配置 curl --location --request POST 'localhost:8080/config/updateCk?url=ckUrl&user=default&pass=default&defaultCkDatabase=ops' Copy 2）更新ES配置 curl --location --request POST 'localhost:8080/config/updateEs?host=esHost&headers=key:value,key2:value2' Copy 3）更新白名单索引 curl --location --request POST 'localhost:8080/config/updateWhiteIndexList?list=index1,index2' Copy 4）更新黑名单索引 curl --location --request POST 'localhost:8080/config/updateBlackIndexList?list=index1,index2' Copy 5）更新采样索引 curl --location --request POST 'localhost:8080/config/updateSampleIndexList?list=index1,index2' Copy 6）更新sampleCountMaxThreshold curl --location --request POST 'localhost:8080/config/updateSampleCountMaxThreshold?sampleCountMaxThreshold=1500000' Copy 7）更新useCache curl --location --request POST 'localhost:8080/config/updateUseCache?useCache=true' Copy 8）更新roundAbleMinPeriod curl --location --request POST 'localhost:8080/config/updateRoundAbleMinPeriod?roundAbleMinPeriod=1200000' Copy 9）更新maxTimeRange curl --location --request POST 'localhost:8080/config/updateMaxTimeRange?maxTimeRange=864000000' Copy 10）更新enableMonitoring curl --location --request POST 'localhost:8080/config/updateEnableMonitoring?enableMonitoring=false' Copy 11）更新msearchThreadPoolCoreSize curl --location --request POST 'localhost:8080/config/updateMsearchThreadPoolCoreSize?msearchThreadPoolCoreSize=4' Copy 12）获取配置接口 curl --location 'localhost:8080/config/all' Copy 13）全量更新配置接口 curl --location 'localhost:8080/config/all' \\--header 'Content-Type: application/json' \\--data '{ \"query\":{ \"sampleIndexPatterns\":[ \"index1\", \"index2\" ], \"sampleCountMaxThreshold\":\"1500000\", \"useCache\":false }, \"proxy\":{ \"roundAbleMinPeriod\":120000, \"maxTimeRange\":86400000, \"enableMonitoring\":true, \"blackIndexList\":[ \"index1\", \"index2\" ], \"whiteIndexList\":[ \"index1\", \"index2\" ], \"es\":{ \"host\":\"esHost \"headers\":[ { \"Authorization\":\"yourEsClusterAuthorization\" } ] }, \"ck\":{ \"url\":\"ckUrl\", \"user\":\"default\", \"pass\":\"default\", \"defaultCkDatabase\":\"ops\" } }}' Copy","s":"proxy-settings","u":"/ckibana-docs/zh/api-docs","h":"#proxy-settings","p":85},{"i":97,"t":"提供监控索引。可以通过配置打开。 可利用该索引进行kibana上的sql监控。","s":"proxy-monitor","u":"/ckibana-docs/zh/api-docs","h":"#proxy-monitor","p":85},{"i":99,"t":"索引查询sql黑名单。可以通过配置打开。 该索引可以通过kibana proxy直接操作： 获取​ curl --location 'http://localhost:8080/proxy/_black_list' Copy 新增​ range: 查询间隔（毫秒） sql: 去除时间范围的条件查询语句，可在monitor日志中获取到 curl --location 'http://localhost:8080/proxy/_black_list' \\--header 'Content-Type: application/json' \\--data-raw '{ \"range\": \"900000\", \"sql\": \"((`@timestamp` = 1698293120000))\"}' Copy 删除​ curl --location --request DELETE 'http://localhost:8080/proxy/_black_list/{id}' Copy","s":"proxy-black-list","u":"/ckibana-docs/zh/api-docs","h":"#proxy-black-list","p":85},{"i":101,"t":"On this page","s":"troubleshooting","u":"/ckibana-docs/zh/troubleshooting","h":"","p":100},{"i":103,"t":"报此错误大概率是初始化的配置不正常 1）检查配置的元数据集群是否正确 2）检查kibana配置的elasticsearchHosts参数，代理地址是否正确，能否访问出现如下信息，有如下信息才表示代理配置正常","s":"1、CKibana启动成功且没报错，但是访问kibana出现如下错误","u":"/ckibana-docs/zh/troubleshooting","h":"#1ckibana启动成功且没报错但是访问kibana出现如下错误","p":100},{"i":105,"t":"如图，红框处在创建index pattern的时候，如果没有选项可以创建index pattern，正常indices数量是大于0的","s":"2、创建不了index pattern","u":"/ckibana-docs/zh/troubleshooting","h":"#2创建不了index-pattern","p":100},{"i":107,"t":"1）首先确定输入的index pattern跟ck表是否一致，index pattern跟跟ck表名是精确匹配 2）检查ck配置是否正常 3）使用日志中输出的sql，在ck中是否能查询到对应表","s":"排查步骤如下","u":"/ckibana-docs/zh/troubleshooting","h":"#排查步骤如下","p":100},{"i":109,"t":"匹配时间字段的逻辑是： 1）字段为Date类型，比如DateTime64类型，会被认为是时间类型 2）或者字段名中包含time，比如（@timestamp UInt64），会被认为是时间类型 这两种情况下满足任意一个，字段都会被认为是时间字段，如果选择不了时间字段，需要检查下ck表中字段是否符合匹配逻辑","s":"3、创建index pattern时候，选不了时间字段","u":"/ckibana-docs/zh/troubleshooting","h":"#3创建index-pattern时候选不了时间字段","p":100},{"i":111,"t":"打开f12,可以看到响应的里面有sql,可以看到具体的执行sql","s":"4、查不出来数据","u":"/ckibana-docs/zh/troubleshooting","h":"#4查不出来数据","p":100},{"i":113,"t":"可以基于ClickHouse的system.query_log 来做具体分析,重点关注read_rows跟read_bytes2个指标 处理方案包括: **1）找到对应sql加入CKibana黑名单 **2）调整对应的图表","s":"5、ClickHouse cpu占用过高","u":"/ckibana-docs/zh/troubleshooting","h":"#5clickhouse-cpu占用过高","p":100},{"i":115,"t":"On this page","s":"usercase","u":"/ckibana-docs/zh/UserCase","h":"","p":114},{"i":120,"t":"curl --location --request POST 'localhost:8080/config/updateCk?url=ckUrl&user=default&pass=default&defaultCkDatabase=ops' Copy","s":"4、配置ckibana中的ck连接信息","u":"/ckibana-docs/zh/UserCase","h":"#4配置ckibana中的ck连接信息","p":114},{"i":124,"t":"当数据量比较大的时候，开启采样可以有效的提升查询性能，注: 采样阈值设置的低了，还原后的趋势图跟真实图会有差异。","s":"7、开启采样","u":"/ckibana-docs/zh/UserCase","h":"#7开启采样","p":114},{"i":126,"t":"可以监控现在用了哪些语法在查询，配合黑名单功能，可以有效缓解使用不当造成的clickhouse资源过高的问题。 利用监控指标，可以做一些图表，增加可观测性。 例如，每种查询的耗时情况：","s":"8、开启查询监控","u":"/ckibana-docs/zh/UserCase","h":"#8开启查询监控","p":114},{"i":128,"t":"可以对时间进行round取值，这样可以很好的配合查询缓存来提升性能。 常见case，kibana里面一群用户在查询相同一个问题，此时查询条件高度一致，配置round可以很好的缓解ClickHouse的压力。","s":"9、设置round时间","u":"/ckibana-docs/zh/UserCase","h":"#9设置round时间","p":114},{"i":130,"t":"当查询语句跟查询时间都一致时，后面的查询可以很好的命中es的缓存，缓解clickhouse的压力。 query.useCache: true Copy 可见命中cache耗时仅有2ms，没命中的情况下在80毫秒。此配置默认关闭，我们也建议开启此配置。 利用ES底层作为存储媒介，当然存储成本也会相应的增高，需要您去维护proxy-cache索引的生命周期定期清理冷数据。","s":"10、开启查询缓存","u":"/ckibana-docs/zh/UserCase","h":"#10开启查询缓存","p":114}],"index":{"version":"2.3.9","fields":["t"],"fieldVectors":[["t/9",[0,3.06]],["t/11",[1,1.947,2,4.99,3,3.064,4,2.66,5,0.592,6,1.317,7,3.294,8,1.317,9,1.317,10,4.138,11,1.631,12,1.452,13,1.631,14,1.317,15,2.66,16,1.631,17,1.317,18,2,19,2.125,20,1.631,21,1.904,22,1.631,23,1.947,24,5.425,25,1.631,26,3.845,27,1.904,28,2.625,29,1.904,30,1.904,31,1.631,32,2.12,33,2.12,34,3.064,35,1.631,36,3.294,37,2.336,38,1.452,39,2.625,40,0.918,41,1.904,42,1.904,43,1.904,44,1.904,45,2.444,46,1.904,47,2.344,48,3.341,49,2.931,50,3.294,51,3.359,52,1.242,53,1.631,54,3.294,55,1.631,56,2.625,57,2.625,58,1.631,59,2.625,60,2.625,61,1.631,62,1.631,63,1.631,64,1.631,65,3.064,66,2.12,67,1.631,68,2.336,69,1.259,70,3.064,71,1.904,72,1.631,73,2.12,74,1.904,75,1.044,76,2.444,77,1.121,78,1.904,79,1.904,80,1.904,81,1.21,82,1.904,83,1.904,84,1.452,85,1.631,86,1.044,87,1.904,88,1.904,89,1.904,90,1.631,91,1.452,92,1.317,93,0.816,94,1.904,95,1.904]],["t/14",[5,1.717,19,1.673,40,1.673,52,1.949,66,2.4,84,2.645,93,2.062,96,4.811,97,3.469,98,4.811,99,5.109,100,5.366,101,2.062,102,3.328,103,2.205,104,3.469,105,3.469,106,2.972,107,3.469,108,2.645,109,2.972,110,1.136,111,2.972,112,2.972,113,3.469,114,1.781,115,2.972,116,1.261,117,2.972,118,2.972,119,3.469,120,2.972,121,2.645,122,3.469,123,3.667,124,2.972,125,1.261,126,1.576,127,2.972,128,3.469,129,2.645,130,2.972,131,2.972,132,2.042,133,3.469]],["t/16",[1,2.307,5,1.303,14,1.211,18,0.573,19,0.844,40,1.38,51,1.334,52,0.709,69,0.573,90,1.499,93,1.982,101,2.342,102,3.624,103,1.819,110,1.514,111,1.499,114,1.469,116,1.32,121,2.182,123,1.334,124,1.499,125,1.681,126,1.904,129,2.182,134,3.961,135,1.75,136,1.499,137,1.334,138,1.499,139,3.593,140,1.499,141,2.452,142,1.499,143,1.75,144,1.819,145,3.11,146,1.499,147,2.512,148,1.864,149,3.63,150,1.75,151,2.153,152,2.022,153,1.98,154,1.75,155,1.211,156,3.63,157,1.75,158,3.434,159,1.98,160,2.922,161,1.499,162,1.75,163,2.452,164,2.452,165,1.334,166,1.499,167,1.041,168,1.499,169,1.75,170,1.499,171,1.499,172,1.499,173,1.211,174,1.03,175,1.334,176,1.57,177,0.899,178,1.469,179,0.899,180,0.899,181,1.499,182,1.499,183,1.75,184,1.334,185,1.499,186,1.499,187,1.499,188,2.452,189,1.499,190,2.452,191,1.499,192,1.211,193,1.499,194,1.499,195,1.499,196,0.96,197,1.499,198,1.499,199,2.182,200,1.334,201,0.899,202,1.499,203,1.499,204,1.03,205,1.98,206,1.211,207,1.499,208,1.75,209,2.182,210,1.211,211,3.11,212,1.334,213,1.75,214,1.75,215,1.499,216,1.499,217,1.211,218,2.452,219,2.452,220,1.75]],["t/18",[2,4.465,18,2.198,32,3.606,33,3.606,45,3.312,47,2.367,54,4.465,221,5.212,222,5.212,223,5.212,224,5.212]],["t/20",[1,3.42,52,2.181,167,1.956,225,5.468,226,4.61,227,4.61,228,4.61,229,4.61,230,4.61]],["t/23",[0,3.06]],["t/25",[35,3.93,92,3.174,93,1.966,110,1.502,123,3.497,127,3.93,151,2.355,176,3.479,177,2.972,178,2.972,179,2.355,180,2.355,196,2.517,199,3.497,206,4.005,209,3.497,231,3.93,232,4.588,233,3.174,234,3.93,235,3.93]],["t/28",[5,0.461,12,1.131,18,0.486,19,2.037,23,2.684,47,1.72,49,1.131,52,1.011,69,1.057,73,2.62,75,0.814,77,1.469,91,1.131,92,1.027,101,2.477,103,0.943,110,0.817,114,1.944,125,1.769,126,0.674,138,1.272,145,1.272,152,1.204,153,1.727,155,1.027,158,3.533,159,1.727,160,3.642,163,1.272,165,1.131,168,1.272,173,1.027,178,1.944,179,1.282,184,3.488,236,4.552,237,3.23,238,3.535,239,1.272,240,1.484,241,1.272,242,1.131,243,1.484,244,1.484,245,1.484,246,3.92,247,2.138,248,1.944,249,2.138,250,2.138,251,3.92,252,2.138,253,2.138,254,3.244,255,2.235,256,2.138,257,2.138,258,2.138,259,2.138,260,1.772,261,2.138,262,3.244,263,3.244,264,3.244,265,2.138,266,2.138,267,3.244,268,3.244,269,3.244,270,3.244,271,2.138,272,2.767,273,2.138,274,2.138,275,2.138,276,1.727,277,2.138,278,2.138,279,2.138,280,2.138,281,2.138,282,2.138,283,2.138,284,1.484,285,1.484,286,1.272,287,1.484,288,1.484,289,2.138]],["t/32",[4,1.736,6,1.033,8,1.033,9,1.033,18,0.489,23,0.949,40,0.72,69,0.489,75,1.376,76,0.949,77,0.879,86,3.242,93,1.817,101,0.64,110,1.934,116,0.543,125,1.382,132,0.879,147,1.033,148,1.288,151,0.767,152,0.72,155,1.033,165,1.138,166,1.279,167,0.543,174,0.879,176,0.819,177,3.034,178,1.288,179,0.767,180,1.666,201,3.034,204,0.879,206,1.033,210,1.736,211,1.279,215,5.063,216,2.149,217,1.033,233,1.033,248,2.904,260,0.819,290,2.693,291,1.279,292,3.479,293,3.913,294,3.479,295,1.033,296,1.736,297,1.736,298,1.736,299,1.736,300,1.736,301,1.279,302,2.149,303,1.279,304,1.279,305,1.279,306,1.279,307,1.279,308,2.244,309,3.932,310,3.932,311,1.279,312,1.279,313,2.779,314,1.279,315,2.149,316,2.244,317,1.279,318,1.736,319,2.779,320,1.279,321,1.279,322,1.279,323,2.779,324,1.279,325,1.279,326,1.279,327,2.779,328,1.279,329,2.149,330,1.279,331,2.149,332,1.279,333,1.279,334,1.279,335,1.493,336,1.033,337,1.279,338,1.279,339,1.279,340,1.279,341,1.279,342,1.279]],["t/34",[5,1.655,19,2.567,81,4.031,93,2.282,125,2.306,276,3.683,291,4.561,343,4.561,344,2.418]],["t/36",[5,0.995,15,3.658,18,1.731,40,1.544,47,1.45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Syntax Support: Compatible with common ElasticSearch syntax (note: ip_range and date_range can only be queried using the querystring syntax in the search box). Sampling Function: For queries with hit results exceeding the threshold, it supports dynamic calculation of sampling and result restoration to improve query performance and ensure that the basic trend of the chart is consistent with the real data trend (the larger the flow control threshold, the closer the real chart trend is). Cache Function: Supports using ElasticSearch to cache results to improve the performance of repeated queries. Time Round Function: Supports rounding query time, for example, round 20 seconds (example: if the query time is in seconds 0-19, it will automatically round to 0; if it is in seconds 20-39, it will automatically round to 20 seconds, for example, if the query time is from 01:50:15 to 05:52:47, it will automatically adjust to 01:50:00 to 05:52:40). Used in conjunction with the cache function, it can effectively alleviate the pressure on ClickHouse caused by concurrent queries of the same statement by multiple users. Blacklist Function: Supports setting a blacklist to prevent complex statements from causing pressure on ClickHouse. Query Template Function: Supports syntax monitoring after removing time to facilitate quick problem location. Used in conjunction with the blacklist function, it can effectively ensure the stability of ClickHouse. Query Circuit Breaker: Supports advanced features such as configuring the maximum query time range. 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Other fields should be added as needed based on the query conditions of the business itself. Here is an example of a table creation statement. create database ckibana;use ckibana;CREATE TABLE ckibana.table_local( `request_method` LowCardinality(String), `request_time` Float64, `http_host` String, `@timestamp` UInt64, `ck_assembly_extension` String, INDEX timestamp_index `@timestamp` TYPE minmax GRANULARITY 8192)ENGINE = MergeTreePARTITION BY (toYYYYMMDD(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')), toHour(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')))ORDER BY (`http_host`)SETTINGS in_memory_parts_enable_wal = 0, index_granularity = 8192;CREATE TABLE IF NOT EXISTS ckibana.table_all AS ckibana.table_local ENGINE Distributed('clickhouse_cluster', ckibana, table_local, rand()); Copy When using the sampling feature, you need to modify the ORDER BY and SAMPLE BY statements in the table creation statement. For more details, please refer to the following resources:clickhouse doc 。 Note that the sampling field can be a user-defined field, but the field must be of type UInt64. It is recommended to use the @timestamp field as the sampling field instead of creating an additional field. create database ckibana;use ckibana;CREATE TABLE ckibana.table_local( `request_method` LowCardinality(String), `request_time` Float64, `http_host` String, `@timestamp` UInt64, `ck_assembly_extension` String, INDEX timestamp_index `@timestamp` TYPE minmax GRANULARITY 8192)ENGINE = MergeTreePARTITION BY (toYYYYMMDD(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')), toHour(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')))ORDER BY (`http_host`, intHash64(`@timestamp`))SAMPLE BY intHash64(`@timestamp`)SETTINGS in_memory_parts_enable_wal = 0, index_granularity = 8192;CREATE TABLE IF NOT EXISTS ckibana.table_all AS ckibana.table_local ENGINE Distributed('clickhouse_cluster', ckibana, table_local, rand()); Copy","s":"Table creation instructions","u":"/ckibana-docs/en/api-docs","h":"#table-creation-instructions","p":22},{"i":32,"t":"By default, the index name for this is proxy-settings. Detailed explanation of parameters​ To update the Elasticsearch metadata cluster configuration, the following interface is provided by CKibana. 1）Updating ClickHouse configuration curl --location --request POST 'localhost:8080/config/updateCk?url=ckUrl&user=default&pass=default&defaultCkDatabase=ops' Copy 2）Updating Elasticsearch configuration curl --location --request POST 'localhost:8080/config/updateEs?host=esHost&headers=key:value,key2:value2' Copy 3）Updating whitelist index curl --location --request POST 'localhost:8080/config/updateWhiteIndexList?list=index1,index2' Copy 4）Updating blacklist index curl --location --request POST 'localhost:8080/config/updateBlackIndexList?list=index1,index2' Copy 5）Updating sampling index curl --location --request POST 'localhost:8080/config/updateSampleIndexList?list=index1,index2' Copy 6）Updating sampleCountMaxThreshold curl --location --request POST 'localhost:8080/config/updateSampleCountMaxThreshold?sampleCountMaxThreshold=1500000' Copy 7）Updating useCache curl --location --request POST 'localhost:8080/config/updateUseCache?useCache=true' Copy 8）Updating roundAbleMinPeriod curl --location --request POST 'localhost:8080/config/updateRoundAbleMinPeriod?roundAbleMinPeriod=1200000' Copy 9）Updating maxTimeRange curl --location --request POST 'localhost:8080/config/updateMaxTimeRange?maxTimeRange=864000000' Copy 10）Updating enableMonitoring curl --location --request POST 'localhost:8080/config/updateEnableMonitoring?enableMonitoring=false' Copy 11）Updating msearchThreadPoolCoreSize curl --location --request POST 'localhost:8080/config/updateMsearchThreadPoolCoreSize?msearchThreadPoolCoreSize=4' Copy 12）Get configuration curl --location 'localhost:8080/config/all' Copy 13）Full update configuration interface curl --location 'localhost:8080/config/all' \\--header 'Content-Type: application/json' \\--data '{ \"query\":{ \"sampleIndexPatterns\":[ \"index1\", \"index2\" ], \"sampleCountMaxThreshold\":\"1500000\", \"useCache\":false }, \"proxy\":{ \"roundAbleMinPeriod\":120000, \"maxTimeRange\":86400000, \"enableMonitoring\":true, \"blackIndexList\":[ \"index1\", \"index2\" ], \"whiteIndexList\":[ \"index1\", \"index2\" ], \"es\":{ \"host\":\"esHost \"headers\":[ { \"Authorization\":\"yourEsClusterAuthorization\" } ] }, \"ck\":{ \"url\":\"ckUrl\", \"user\":\"default\", \"pass\":\"default\", \"defaultCkDatabase\":\"ops\" } }}' Copy","s":"proxy-settings","u":"/ckibana-docs/en/api-docs","h":"#proxy-settings","p":22},{"i":34,"t":"Provide monitoring index. Can be enabled through configuration. This index can be used for SQL monitoring on Kibana.","s":"proxy-monitor","u":"/ckibana-docs/en/api-docs","h":"#proxy-monitor","p":22},{"i":36,"t":"Index query SQL blacklist. Can be enabled through configuration. This index can be directly operated through Kibana proxy： GET​ curl --location 'http://localhost:8080/proxy/_black_list' Copy Insert​ range: Query interval (in milliseconds) sql: Query statement with time range exclusion. Can be obtained in monitor logs. curl --location 'http://localhost:8080/proxy/_black_list' \\--header 'Content-Type: application/json' \\--data-raw '{ \"range\": \"900000\", \"sql\": \"((`@timestamp` = 1698293120000))\"}' Copy Delete​ curl --location --request DELETE 'http://localhost:8080/proxy/_black_list/{id}' Copy","s":"proxy-black-list","u":"/ckibana-docs/en/api-docs","h":"#proxy-black-list","p":22},{"i":38,"t":"On this page","s":"troubleshooting","u":"/ckibana-docs/en/troubleshooting","h":"","p":37},{"i":40,"t":"The high probability of this error is that the initialization configuration is not correct. 1）Check if the metadata cluster in the configuration is correct 2）Check the elasticsearchHosts parameter in Kibana's configuration to see if the proxy address is correct and accessible. The following information should appear to indicate that the proxy configuration is correct","s":"1、Cannot open Kibana.","u":"/ckibana-docs/en/troubleshooting","h":"#1cannot-open-kibana","p":37},{"i":42,"t":"As shown in the picture, if there is no option to create an index pattern in the red box when creating an index pattern, the normal number of indices should be greater than 0.","s":"2、Unable to create an index pattern","u":"/ckibana-docs/en/troubleshooting","h":"#2unable-to-create-an-index-pattern","p":37},{"i":44,"t":"1）determine whether the input index pattern matches the ck table. The index pattern should be an exact match to the ck table name. 2）Check whether the configuration of the ClickHouse database is normal. 3）Using the SQL output from the logs, check whether the corresponding table can be queried in ClickHouse","s":"The troubleshooting steps are as follows:","u":"/ckibana-docs/en/troubleshooting","h":"#the-troubleshooting-steps-are-as-follows","p":37},{"i":46,"t":"The logic for matching the time field is: 1）Fields of type Date, such as DateTime64, will be recognized as time fields. 2）Alternatively, if the field name contains \"time\", such as (@timestamp UInt64), it will be recognized as a time field. Either of these conditions will be satisfied and the field will be recognized as a time field. If the time field cannot be selected, you need to check whether the fields in the ClickHouse table meet the matching logic.","s":"3、When creating an index pattern, the time field cannot be selected.","u":"/ckibana-docs/en/troubleshooting","h":"#3when-creating-an-index-pattern-the-time-field-cannot-be-selected","p":37},{"i":48,"t":"You can see the specific SQL query being executed by opening the F12 console and inspecting the response.","s":"4、Unable to retrieve data.","u":"/ckibana-docs/en/troubleshooting","h":"#4unable-to-retrieve-data","p":37},{"i":50,"t":"Specific analysis can be done based on system.query_log in ClickHouse, with a focus on the two indicators read_rows and read_bytes The processing plan includes: **1）Find the corresponding SQL query and add it to the CKibana blacklist. **2）Adjust the corresponding chart","s":"5、High CPU usage in ClickHouse","u":"/ckibana-docs/en/troubleshooting","h":"#5high-cpu-usage-in-clickhouse","p":37},{"i":52,"t":"On this page","s":"usercase","u":"/ckibana-docs/en/UserCase","h":"","p":51},{"i":57,"t":"curl --location --request POST 'localhost:8080/config/updateCk?url=ckUrl&user=default&pass=default&defaultCkDatabase=ops' Copy","s":"4、Configuring the ClickHouse connection information in CKibana.","u":"/ckibana-docs/en/UserCase","h":"#4configuring-the-clickhouse-connection-information-in-ckibana","p":51},{"i":61,"t":"When the data volume is relatively large, turn on sampling can effectively improve the query performance. Note: If the sampling threshold is set too low, the restored trend graph will be different from the real one.","s":"7、Enable Sampling","u":"/ckibana-docs/en/UserCase","h":"#7enable-sampling","p":51},{"i":63,"t":"You can monitor what syntaxes are being queried right now, and with the blacklist feature, you can effectively alleviate the problem of clickhouse resources being too high due to improper usage. Using monitoring metrics, you can make charts and graphs to increase observability. For example, the time consumed for each query:","s":"8、Enable query monitoring","u":"/ckibana-docs/en/UserCase","h":"#8enable-query-monitoring","p":51},{"i":65,"t":"You can round fetch the time, which works well with query caching to improve performance. Common case, kibana inside a group of users in the query the same question, when the query conditions are highly consistent, configure round can be very good to ease the pressure of ClickHouse.","s":"9、Configure round time","u":"/ckibana-docs/en/UserCase","h":"#9configure-round-time","p":51},{"i":67,"t":"When the query statement is consistent with the query time, the later query can hit the es cache very well, relieving the pressure on clickhouse. query.useCache: true Copy It can be seen that a hit to cache takes only 2ms, and 80ms in the case of no hit. This configuration is turned off by default, but we recommend turning it on as well. Using Elasticsearch as the underlying storage medium, of course, the storage cost will be correspondingly higher, you need to maintain the proxy-cache index life cycle to regularly clean up the cold data.","s":"10、Enable query cache","u":"/ckibana-docs/en/UserCase","h":"#10enable-query-cache","p":51},{"i":69,"t":"On this page","s":"简介","u":"/ckibana-docs/zh/","h":"","p":68},{"i":71,"t":"版本支持: 兼容ElasticSearch跟kibana 6.x、7.x、8.x 版本 语法支持: 兼容ElasticSearch常用语法(注: ip_range跟date_range仅可在搜索框中使用querystring语法查询) 采样功能: 对于命中结果超过阈值的查询,支持动态计算采样+还原结果,提高查询性能且保障图表趋势基本跟真实数据趋势一致(限流阈值越大跟真实图表趋势越接近)。 缓存功能: 支持使用ElasticSearch来做结果缓存,来提升重复查询的性能 时间Round功能: 支持round查询时间,比如20s的round(例子: 查询时间秒在0-19s则自动round到0,20s-39s自动round到20s,比如查询时间是从01:50:15到05:52:47,则自动调整为从01: 50:00到05:52:40),配合缓存功能使用可以很好的缓解多个用户并发查询相同语句造成ClickHouse的压力 黑名单功能: 支持设置黑名单来防止复杂语句造成ClickHouse压力 查询模板功能: 支持按照去除时间后的语法监控,方便快速定位问题,配合黑名单功能一起使用可以很好的保障ClickHouse 查询熔断: 支持配置最大查询时间范围等高级功能 支持的聚合语法：​","s":"功能特性","u":"/ckibana-docs/zh/","h":"#功能特性","p":68},{"i":74,"t":"要快速体验ckibana，可以通过docker-compose进行快速部署 ckibana-quick-start文档 # 进入docker-compose目录cd ckibana/docker-compose# 部署docker-compose up -d Copy 部署完成后，在浏览器访问kibana：http://127.0.0.1:5601/ 已内置了mock数据的流程，导入kibana配置文件（大盘、index-pattern等），就可以开始体验了！ 配置文件路径：docker-compose/quickstart-export.json 效果展示：","s":"quick start","u":"/ckibana-docs/zh/","h":"#quick-start","p":68},{"i":76,"t":"ckibana可以在所有主要操作系统上运行，需要安装Java JDK版本17或更高版本。要检查，请运行 java -version: $ java -versionjava version \"17.0.5\" Copy 代理服务依赖ES、CK、Kibana服务，需要提前准备好。以下只包含从ck查询数据步骤，不包含写数据到ck的步骤。 1）建库、建表 在ck中初始化库、表结构，可以参考api-docs 建表详解部分 2）启动ckibana 修改ckibana中的ES配置，需要改为自身的ES信息，配置文件路径为src/main/resources/application.yml metadata-config: hosts: your es metadata cluster hosts headers: headerKey: yourHeaderValue Copy 打包运行 或者 本地运行直接com.ly.ckibana.Bootstrap类即可 ### start ckibana$ nohup java -jar ckibana.jar > run.out 2>&1 &### check whether ckibana is successfully started$ tail -f ~/logs/app.logTomcat started on port(s): 8080 (http) with context path ''Started Bootstrap in 1.474 seconds Copy 3）启动kibana kibana的elasticsearchHosts参数配置为ckibana代理地址，这样就能走到代理服务中来 eg：elasticsearchHosts=http://ip:port Copy 4）配置index pattern白名单 配置了对应的白名单，才可以在下一步创建index pattern，可以参考api-docs 更新白名单索引接口 5）在kibana中创建index pattern 在kibana页面创建index pattern，名字跟1）的表名一致，且4）中配置白名单，然后就可以在kibana中进行查询了 eg：如果ck表名是table_test，则创建index pattern的名字就是table_test Copy 以上5步都操作完以后，就可以创建大盘，开始进行使用了","s":"本地运行 ckibana","u":"/ckibana-docs/zh/","h":"#本地运行-ckibana","p":68},{"i":78,"t":"分段查询: 支持自动拆分查询时间,可以充分利用缓存,提升查询性能","s":"TODO","u":"/ckibana-docs/zh/","h":"#todo","p":68},{"i":80,"t":"CKibane-docs","s":"文档地址","u":"/ckibana-docs/zh/","h":"#文档地址","p":68},{"i":82,"t":"愿意参与构建CKibana或者是需要交流问题可以加入微信群(企业版微信和个人版本微信均可)","s":"Contact","u":"/ckibana-docs/zh/","h":"#contact","p":68},{"i":84,"t":"Apache License, Version 2.0 Copyright (C) Apache Software Foundation","s":"License","u":"/ckibana-docs/zh/","h":"#license","p":68},{"i":86,"t":"On this page","s":"api-docs","u":"/ckibana-docs/zh/api-docs","h":"","p":85},{"i":88,"t":"该文件是一些基本配置，端口、日志等，核心的就是metadata-config参数了。 例子：metadata-config: hosts: your es metadata cluster hosts headers: Authorization: 'username password' Copy","s":"application文件","u":"/ckibana-docs/zh/api-docs","h":"#application文件","p":85},{"i":91,"t":"建表语句中的字段，时间字段是必需，如表中的@timestamp字段，作为在kibana创建index pattern时的时间选项，其它字段根据本身业务查询条件按需添加。 下面是一个建表语句的例子 create database ckibana;use ckibana;CREATE TABLE ckibana.table_local( `request_method` LowCardinality(String), `request_time` Float64, `http_host` String, `@timestamp` UInt64, `ck_assembly_extension` String, INDEX timestamp_index `@timestamp` TYPE minmax GRANULARITY 8192)ENGINE = MergeTreePARTITION BY (toYYYYMMDD(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')), toHour(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')))ORDER BY (`http_host`)SETTINGS in_memory_parts_enable_wal = 0, index_granularity = 8192;CREATE TABLE IF NOT EXISTS ckibana.table_all AS ckibana.table_local ENGINE Distributed('clickhouse_cluster', ckibana, table_local, rand()); Copy 当要使用采样功能时，需要在建表语句中修改ORDER BY、SAMPLE BY语句，更详细可以参考clickhouse官方说明 。 说明：采样字段可以是自己定义的字段，但是字段必须设置为UInt64类型，推荐还是使用@timestamp字段作为采样字段，不用额外创建字段 create database ckibana;use ckibana;CREATE TABLE ckibana.table_local( `request_method` LowCardinality(String), `request_time` Float64, `http_host` String, `@timestamp` UInt64, `ck_assembly_extension` String, INDEX timestamp_index `@timestamp` TYPE minmax GRANULARITY 8192)ENGINE = MergeTreePARTITION BY (toYYYYMMDD(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')), toHour(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')))ORDER BY (`http_host`, intHash64(`@timestamp`))SAMPLE BY intHash64(`@timestamp`)SETTINGS in_memory_parts_enable_wal = 0, index_granularity = 8192;CREATE TABLE IF NOT EXISTS ckibana.table_all AS ckibana.table_local ENGINE Distributed('clickhouse_cluster', ckibana, table_local, rand()); Copy","s":"建表说明","u":"/ckibana-docs/zh/api-docs","h":"#建表说明","p":85},{"i":95,"t":"默认该索引名为proxy-settings，如您使用一个元数据集群来管理多个kibana proxy，可以利用application.yml的metadata.config.tingsSuffix属性。 参数详解​ 更新ES元数据集群配置，ckibana提供如下接口 1）更新CK配置 curl --location --request POST 'localhost:8080/config/updateCk?url=ckUrl&user=default&pass=default&defaultCkDatabase=ops' Copy 2）更新ES配置 curl --location --request POST 'localhost:8080/config/updateEs?host=esHost&headers=key:value,key2:value2' Copy 3）更新白名单索引 curl --location --request POST 'localhost:8080/config/updateWhiteIndexList?list=index1,index2' Copy 4）更新黑名单索引 curl --location --request POST 'localhost:8080/config/updateBlackIndexList?list=index1,index2' Copy 5）更新采样索引 curl --location --request POST 'localhost:8080/config/updateSampleIndexList?list=index1,index2' Copy 6）更新sampleCountMaxThreshold curl --location --request POST 'localhost:8080/config/updateSampleCountMaxThreshold?sampleCountMaxThreshold=1500000' Copy 7）更新useCache curl --location --request POST 'localhost:8080/config/updateUseCache?useCache=true' Copy 8）更新roundAbleMinPeriod curl --location --request POST 'localhost:8080/config/updateRoundAbleMinPeriod?roundAbleMinPeriod=1200000' Copy 9）更新maxTimeRange curl --location --request POST 'localhost:8080/config/updateMaxTimeRange?maxTimeRange=864000000' Copy 10）更新enableMonitoring curl --location --request POST 'localhost:8080/config/updateEnableMonitoring?enableMonitoring=false' Copy 11）更新msearchThreadPoolCoreSize curl --location --request POST 'localhost:8080/config/updateMsearchThreadPoolCoreSize?msearchThreadPoolCoreSize=4' Copy 12）获取配置接口 curl --location 'localhost:8080/config/all' Copy 13）全量更新配置接口 curl --location 'localhost:8080/config/all' \\--header 'Content-Type: application/json' \\--data '{ \"query\":{ \"sampleIndexPatterns\":[ \"index1\", \"index2\" ], \"sampleCountMaxThreshold\":\"1500000\", \"useCache\":false }, \"proxy\":{ \"roundAbleMinPeriod\":120000, \"maxTimeRange\":86400000, \"enableMonitoring\":true, \"blackIndexList\":[ \"index1\", \"index2\" ], \"whiteIndexList\":[ \"index1\", \"index2\" ], \"es\":{ \"host\":\"esHost \"headers\":[ { \"Authorization\":\"yourEsClusterAuthorization\" } ] }, \"ck\":{ \"url\":\"ckUrl\", \"user\":\"default\", \"pass\":\"default\", \"defaultCkDatabase\":\"ops\" } }}' Copy","s":"proxy-settings","u":"/ckibana-docs/zh/api-docs","h":"#proxy-settings","p":85},{"i":97,"t":"提供监控索引。可以通过配置打开。 可利用该索引进行kibana上的sql监控。","s":"proxy-monitor","u":"/ckibana-docs/zh/api-docs","h":"#proxy-monitor","p":85},{"i":99,"t":"索引查询sql黑名单。可以通过配置打开。 该索引可以通过kibana proxy直接操作： 获取​ curl --location 'http://localhost:8080/proxy/_black_list' Copy 新增​ range: 查询间隔（毫秒） sql: 去除时间范围的条件查询语句，可在monitor日志中获取到 curl --location 'http://localhost:8080/proxy/_black_list' \\--header 'Content-Type: application/json' \\--data-raw '{ \"range\": \"900000\", \"sql\": \"((`@timestamp` = 1698293120000))\"}' Copy 删除​ curl --location --request DELETE 'http://localhost:8080/proxy/_black_list/{id}' Copy","s":"proxy-black-list","u":"/ckibana-docs/zh/api-docs","h":"#proxy-black-list","p":85},{"i":101,"t":"On this page","s":"troubleshooting","u":"/ckibana-docs/zh/troubleshooting","h":"","p":100},{"i":103,"t":"报此错误大概率是初始化的配置不正常 1）检查配置的元数据集群是否正确 2）检查kibana配置的elasticsearchHosts参数，代理地址是否正确，能否访问出现如下信息，有如下信息才表示代理配置正常","s":"1、CKibana启动成功且没报错，但是访问kibana出现如下错误","u":"/ckibana-docs/zh/troubleshooting","h":"#1ckibana启动成功且没报错但是访问kibana出现如下错误","p":100},{"i":105,"t":"如图，红框处在创建index pattern的时候，如果没有选项可以创建index pattern，正常indices数量是大于0的","s":"2、创建不了index pattern","u":"/ckibana-docs/zh/troubleshooting","h":"#2创建不了index-pattern","p":100},{"i":107,"t":"1）首先确定输入的index pattern跟ck表是否一致，index pattern跟跟ck表名是精确匹配 2）检查ck配置是否正常 3）使用日志中输出的sql，在ck中是否能查询到对应表","s":"排查步骤如下","u":"/ckibana-docs/zh/troubleshooting","h":"#排查步骤如下","p":100},{"i":109,"t":"匹配时间字段的逻辑是： 1）字段为Date类型，比如DateTime64类型，会被认为是时间类型 2）或者字段名中包含time，比如（@timestamp UInt64），会被认为是时间类型 这两种情况下满足任意一个，字段都会被认为是时间字段，如果选择不了时间字段，需要检查下ck表中字段是否符合匹配逻辑","s":"3、创建index pattern时候，选不了时间字段","u":"/ckibana-docs/zh/troubleshooting","h":"#3创建index-pattern时候选不了时间字段","p":100},{"i":111,"t":"打开f12,可以看到响应的里面有sql,可以看到具体的执行sql","s":"4、查不出来数据","u":"/ckibana-docs/zh/troubleshooting","h":"#4查不出来数据","p":100},{"i":113,"t":"可以基于ClickHouse的system.query_log 来做具体分析,重点关注read_rows跟read_bytes2个指标 处理方案包括: **1）找到对应sql加入CKibana黑名单 **2）调整对应的图表","s":"5、ClickHouse cpu占用过高","u":"/ckibana-docs/zh/troubleshooting","h":"#5clickhouse-cpu占用过高","p":100},{"i":115,"t":"On this page","s":"usercase","u":"/ckibana-docs/zh/UserCase","h":"","p":114},{"i":120,"t":"curl --location --request POST 'localhost:8080/config/updateCk?url=ckUrl&user=default&pass=default&defaultCkDatabase=ops' Copy","s":"4、配置ckibana中的ck连接信息","u":"/ckibana-docs/zh/UserCase","h":"#4配置ckibana中的ck连接信息","p":114},{"i":124,"t":"当数据量比较大的时候，开启采样可以有效的提升查询性能，注: 采样阈值设置的低了，还原后的趋势图跟真实图会有差异。","s":"7、开启采样","u":"/ckibana-docs/zh/UserCase","h":"#7开启采样","p":114},{"i":126,"t":"可以监控现在用了哪些语法在查询，配合黑名单功能，可以有效缓解使用不当造成的clickhouse资源过高的问题。 利用监控指标，可以做一些图表，增加可观测性。 例如，每种查询的耗时情况：","s":"8、开启查询监控","u":"/ckibana-docs/zh/UserCase","h":"#8开启查询监控","p":114},{"i":128,"t":"可以对时间进行round取值，这样可以很好的配合查询缓存来提升性能。 常见case，kibana里面一群用户在查询相同一个问题，此时查询条件高度一致，配置round可以很好的缓解ClickHouse的压力。","s":"9、设置round时间","u":"/ckibana-docs/zh/UserCase","h":"#9设置round时间","p":114},{"i":130,"t":"当查询语句跟查询时间都一致时，后面的查询可以很好的命中es的缓存，缓解clickhouse的压力。 query.useCache: true Copy 可见命中cache耗时仅有2ms，没命中的情况下在80毫秒。此配置默认关闭，我们也建议开启此配置。 利用ES底层作为存储媒介，当然存储成本也会相应的增高，需要您去维护proxy-cache索引的生命周期定期清理冷数据。","s":"10、开启查询缓存","u":"/ckibana-docs/zh/UserCase","h":"#10开启查询缓存","p":114}],"index":{"version":"2.3.9","fields":["t"],"fieldVectors":[["t/10",[0,3.06]],["t/12",[1,1.947,2,4.99,3,3.064,4,2.66,5,0.592,6,1.317,7,3.294,8,1.317,9,1.317,10,4.138,11,1.631,12,1.452,13,1.631,14,1.317,15,2.66,16,1.631,17,1.317,18,2,19,2.125,20,1.631,21,1.904,22,1.631,23,1.947,24,5.425,25,1.631,26,3.845,27,1.904,28,2.625,29,1.904,30,1.904,31,1.631,32,2.12,33,2.12,34,3.064,35,1.631,36,3.294,37,2.336,38,1.452,39,2.625,40,0.918,41,1.904,42,1.904,43,1.904,44,1.904,45,2.444,46,1.904,47,2.344,48,3.341,49,2.931,50,3.294,51,3.359,52,1.242,53,1.631,54,3.294,55,1.631,56,2.625,57,2.625,58,1.631,59,2.625,60,2.625,61,1.631,62,1.631,63,1.631,64,1.631,65,3.064,66,2.12,67,1.631,68,2.336,69,1.259,70,3.064,71,1.904,72,1.631,73,2.12,74,1.904,75,1.044,76,2.444,77,1.121,78,1.904,79,1.904,80,1.904,81,1.21,82,1.904,83,1.904,84,1.452,85,1.631,86,1.044,87,1.904,88,1.904,89,1.904,90,1.631,91,1.452,92,1.317,93,0.816,94,1.904,95,1.904]],["t/15",[5,1.717,19,1.673,40,1.673,52,1.949,66,2.4,84,2.645,93,2.062,96,4.811,97,3.469,98,4.811,99,5.109,100,5.366,101,2.062,102,3.328,103,2.205,104,3.469,105,3.469,106,2.972,107,3.469,108,2.645,109,2.972,110,1.136,111,2.972,112,2.972,113,3.469,114,1.781,115,2.972,116,1.261,117,2.972,118,2.972,119,3.469,120,2.972,121,2.645,122,3.469,123,3.667,124,2.972,125,1.261,126,1.576,127,2.972,128,3.469,129,2.645,130,2.972,131,2.972,132,2.042,133,3.469]],["t/17",[1,2.307,5,1.303,14,1.211,18,0.573,19,0.844,40,1.38,51,1.334,52,0.709,69,0.573,90,1.499,93,1.982,101,2.342,102,3.624,103,1.819,110,1.514,111,1.499,114,1.469,116,1.32,121,2.182,123,1.334,124,1.499,125,1.681,126,1.904,129,2.182,134,3.961,135,1.75,136,1.499,137,1.334,138,1.499,139,3.593,140,1.499,141,2.452,142,1.499,143,1.75,144,1.819,145,3.11,146,1.499,147,2.512,148,1.864,149,3.63,150,1.75,151,2.153,152,2.022,153,1.98,154,1.75,155,1.211,156,3.63,157,1.75,158,3.434,159,1.98,160,2.922,161,1.499,162,1.75,163,2.452,164,2.452,165,1.334,166,1.499,167,1.041,168,1.499,169,1.75,170,1.499,171,1.499,172,1.499,173,1.211,174,1.03,175,1.334,176,1.57,177,0.899,178,1.469,179,0.899,180,0.899,181,1.499,182,1.499,183,1.75,184,1.334,185,1.499,186,1.499,187,1.499,188,2.452,189,1.499,190,2.452,191,1.499,192,1.211,193,1.499,194,1.499,195,1.499,196,0.96,197,1.499,198,1.499,199,2.182,200,1.334,201,0.899,202,1.499,203,1.499,204,1.03,205,1.98,206,1.211,207,1.499,208,1.75,209,2.182,210,1.211,211,3.11,212,1.334,213,1.75,214,1.75,215,1.499,216,1.499,217,1.211,218,2.452,219,2.452,220,1.75]],["t/19",[2,4.465,18,2.198,32,3.606,33,3.606,45,3.312,47,2.367,54,4.465,221,5.212,222,5.212,223,5.212,224,5.212]],["t/21",[1,3.42,52,2.181,167,1.956,225,5.468,226,4.61,227,4.61,228,4.61,229,4.61,230,4.61]],["t/23",[0,3.06]],["t/25",[35,3.93,92,3.174,93,1.966,110,1.502,123,3.497,127,3.93,151,2.355,176,3.479,177,2.972,178,2.972,179,2.355,180,2.355,196,2.517,199,3.497,206,4.005,209,3.497,231,3.93,232,4.588,233,3.174,234,3.93,235,3.93]],["t/28",[5,0.461,12,1.131,18,0.486,19,2.037,23,2.684,47,1.72,49,1.131,52,1.011,69,1.057,73,2.62,75,0.814,77,1.469,91,1.131,92,1.027,101,2.477,103,0.943,110,0.817,114,1.944,125,1.769,126,0.674,138,1.272,145,1.272,152,1.204,153,1.727,155,1.027,158,3.533,159,1.727,160,3.642,163,1.272,165,1.131,168,1.272,173,1.027,178,1.944,179,1.282,184,3.488,236,4.552,237,3.23,238,3.535,239,1.272,240,1.484,241,1.272,242,1.131,243,1.484,244,1.484,245,1.484,246,3.92,247,2.138,248,1.944,249,2.138,250,2.138,251,3.92,252,2.138,253,2.138,254,3.244,255,2.235,256,2.138,257,2.138,258,2.138,259,2.138,260,1.772,261,2.138,262,3.244,263,3.244,264,3.244,265,2.138,266,2.138,267,3.244,268,3.244,269,3.244,270,3.244,271,2.138,272,2.767,273,2.138,274,2.138,275,2.138,276,1.727,277,2.138,278,2.138,279,2.138,280,2.138,281,2.138,282,2.138,283,2.138,284,1.484,285,1.484,286,1.272,287,1.484,288,1.484,289,2.138]],["t/32",[4,1.736,6,1.033,8,1.033,9,1.033,18,0.489,23,0.949,40,0.72,69,0.489,75,1.376,76,0.949,77,0.879,86,3.242,93,1.817,101,0.64,110,1.934,116,0.543,125,1.382,132,0.879,147,1.033,148,1.288,151,0.767,152,0.72,155,1.033,165,1.138,166,1.279,167,0.543,174,0.879,176,0.819,177,3.034,178,1.288,179,0.767,180,1.666,201,3.034,204,0.879,206,1.033,210,1.736,211,1.279,215,5.063,216,2.149,217,1.033,233,1.033,248,2.904,260,0.819,290,2.693,291,1.279,292,3.479,293,3.913,294,3.479,295,1.033,296,1.736,297,1.736,298,1.736,299,1.736,300,1.736,301,1.279,302,2.149,303,1.279,304,1.279,305,1.279,306,1.279,307,1.279,308,2.244,309,3.932,310,3.932,311,1.279,312,1.279,313,2.779,314,1.279,315,2.149,316,2.244,317,1.279,318,1.736,319,2.779,320,1.279,321,1.279,322,1.279,323,2.779,324,1.279,325,1.279,326,1.279,327,2.779,328,1.279,329,2.149,330,1.279,331,2.149,332,1.279,333,1.279,334,1.279,335,1.493,336,1.033,337,1.279,338,1.279,339,1.279,340,1.279,341,1.279,342,1.279]],["t/34",[5,1.655,19,2.567,81,4.031,93,2.282,125,2.306,276,3.683,291,4.561,343,4.561,344,2.418]],["t/36",[5,0.995,15,3.658,18,1.731,40,1.544,47,1.4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index e5d597b..82a9915 100644
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+++ b/zh/search-index.json
@@ -1 +1 @@
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this page","s":"Introduce","u":"/ckibana-docs/zh/en/","h":"","p":139},{"i":142,"t":"Version Support: Compatible with ElasticSearch and Kibana versions 6.x, 7.x, and 8.x. Syntax Support: Compatible with common ElasticSearch syntax (note: ip_range and date_range can only be queried using the querystring syntax in the search box). Sampling Function: For queries with hit results exceeding the threshold, it supports dynamic calculation of sampling and result restoration to improve query performance and ensure that the basic trend of the chart is consistent with the real data trend (the larger the flow control threshold, the closer the real chart trend is). Cache Function: Supports using ElasticSearch to cache results to improve the performance of repeated queries. Time Round Function: Supports rounding query time, for example, round 20 seconds (example: if the query time is in seconds 0-19, it will automatically round to 0; if it is in seconds 20-39, it will automatically round to 20 seconds, for example, if the query time is from 01:50:15 to 05:52:47, it will automatically adjust to 01:50:00 to 05:52:40). Used in conjunction with the cache function, it can effectively alleviate the pressure on ClickHouse caused by concurrent queries of the same statement by multiple users. Blacklist Function: Supports setting a blacklist to prevent complex statements from causing pressure on ClickHouse. Query Template Function: Supports syntax monitoring after removing time to facilitate quick problem location. Used in conjunction with the blacklist function, it can effectively ensure the stability of ClickHouse. Query Circuit Breaker: Supports advanced features such as configuring the maximum query time range. Supported Aggregation Syntax:​","s":"Features","u":"/ckibana-docs/zh/en/","h":"#features","p":139},{"i":145,"t":"To quickly experience Kibana, you can deploy it quickly using docker-compose. ckibana-quick-start-doc # Enter the docker-compose directory.cd ckibana/docker-compose# Deploydocker-compose up -d Copy After deployment is complete, access Kibana in a browser at： http://127.0.0.1:5601/ A process with built-in mock data has been included. After importing the Kibana configuration file (dashboard, index-pattern, etc.), you can start experiencing it! Configuration file path：docker-compose/quickstart-export.json Effect display：","s":"quick start","u":"/ckibana-docs/zh/en/","h":"#quick-start","p":139},{"i":147,"t":"CKibana can be run on all major operating systems and requires Java JDK version 17 or higher to be installed. To check, please run:java -version: $ java -versionjava version \"17.0.5\" Copy The proxy service depends on the ES, CK, and Kibana services, which need to be prepared in advance. The following steps only include querying data from CK and do not include writing data to CK. 1）Create a database and a table To initialize database and table structures in ClickHouse, please refer to:api-docs Detailed explanation of creating a table 2）Start CKibana To modify the ES configuration in CKibana, you need to change it to your own ES information. The configuration file path is src/main/resources/application.yml metadata-config: hosts: your es metadata cluster hosts headers: headerKey: yourHeaderValue Copy Package and run or run locally directly com.ly.ckibana.Bootstrap ### start ckibana$ nohup java -jar ckibana.jar > run.out 2>&1 &### check whether ckibana is successfully started$ tail -f ~/logs/app.logTomcat started on port(s): 8080 (http) with context path ''Started Bootstrap in 1.474 seconds Copy 3）start kibana Configure the elasticsearchHosts parameter in Kibana to the CKibana proxy address, so that it can be routed to the proxy service. eg：elasticsearchHosts=http://ip:port Copy 4）Configure the index pattern whitelist Only after configuring the corresponding whitelist can you proceed to create it in the next step index pattern，please refer to:api-docs Update the whitelist index interface 5）Create index pattern in Kibana eg：If the CK table name is `table_test`, then create an index pattern `table_test` Copy After completing the above 5 steps, you can create a dashboard and start using it.","s":"Local run CKibana","u":"/ckibana-docs/zh/en/","h":"#local-run-ckibana","p":139},{"i":149,"t":"Segmented query: Supports automatically splitting query time, which can fully utilize the cache and improve query performance.","s":"TODO","u":"/ckibana-docs/zh/en/","h":"#todo","p":139},{"i":151,"t":"Apache License, Version 2.0 Copyright (C) Apache Software Foundation","s":"License","u":"/ckibana-docs/zh/en/","h":"#license","p":139},{"i":153,"t":"On this page","s":"troubleshooting","u":"/ckibana-docs/zh/en/troubleshooting","h":"","p":152},{"i":155,"t":"The high probability of this error is that the initialization configuration is not correct. 1）Check if the metadata cluster in the configuration is correct 2）Check the elasticsearchHosts parameter in Kibana's configuration to see if the proxy address is correct and accessible. The following information should appear to indicate that the proxy configuration is correct","s":"1、Cannot open Kibana.","u":"/ckibana-docs/zh/en/troubleshooting","h":"#1cannot-open-kibana","p":152},{"i":157,"t":"As shown in the picture, if there is no option to create an index pattern in the red box when creating an index pattern, the normal number of indices should be greater than 0.","s":"2、Unable to create an index pattern","u":"/ckibana-docs/zh/en/troubleshooting","h":"#2unable-to-create-an-index-pattern","p":152},{"i":159,"t":"1）determine whether the input index pattern matches the ck table. The index pattern should be an exact match to the ck table name. 2）Check whether the configuration of the ClickHouse database is normal. 3）Using the SQL output from the logs, check whether the corresponding table can be queried in ClickHouse","s":"The troubleshooting steps are as follows:","u":"/ckibana-docs/zh/en/troubleshooting","h":"#the-troubleshooting-steps-are-as-follows","p":152},{"i":161,"t":"The logic for matching the time field is: 1）Fields of type Date, such as DateTime64, will be recognized as time fields. 2）Alternatively, if the field name contains \"time\", such as (@timestamp UInt64), it will be recognized as a time field. Either of these conditions will be satisfied and the field will be recognized as a time field. If the time field cannot be selected, you need to check whether the fields in the ClickHouse table meet the matching logic.","s":"3、When creating an index pattern, the time field cannot be selected.","u":"/ckibana-docs/zh/en/troubleshooting","h":"#3when-creating-an-index-pattern-the-time-field-cannot-be-selected","p":152},{"i":163,"t":"You can see the specific SQL query being executed by opening the F12 console and inspecting the response.","s":"4、Unable to retrieve data.","u":"/ckibana-docs/zh/en/troubleshooting","h":"#4unable-to-retrieve-data","p":152},{"i":165,"t":"Specific analysis can be done based on system.query_log in ClickHouse, with a focus on the two indicators read_rows and read_bytes The processing plan includes: **1）Find the corresponding SQL query and add it to the CKibana blacklist. **2）Adjust the corresponding chart","s":"5、High CPU usage in ClickHouse","u":"/ckibana-docs/zh/en/troubleshooting","h":"#5high-cpu-usage-in-clickhouse","p":152},{"i":167,"t":"On this page","s":"api-docs","u":"/ckibana-docs/zh/en/api-docs","h":"","p":166},{"i":169,"t":"This file contains some basic configurations such as ports, logging, etc. The core parameter is the metadata-config parameter. eg：metadata-config: hosts: your es metadata cluster hosts headers: Authorization: 'username password' Copy","s":"application.yaml","u":"/ckibana-docs/zh/en/api-docs","h":"#applicationyaml","p":166},{"i":172,"t":"The time field is required in the table creation statement, such as the @timestamp field in the table, which is used as the time option when creating an index pattern in Kibana. Other fields should be added as needed based on the query conditions of the business itself. Here is an example of a table creation statement. create database ckibana;use ckibana;CREATE TABLE ckibana.table_local( `request_method` LowCardinality(String), `request_time` Float64, `http_host` String, `@timestamp` UInt64, `ck_assembly_extension` String, INDEX timestamp_index `@timestamp` TYPE minmax GRANULARITY 8192)ENGINE = MergeTreePARTITION BY (toYYYYMMDD(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')), toHour(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')))ORDER BY (`http_host`)SETTINGS in_memory_parts_enable_wal = 0, index_granularity = 8192;CREATE TABLE IF NOT EXISTS ckibana.table_all AS ckibana.table_local ENGINE Distributed('clickhouse_cluster', ckibana, table_local, rand()); Copy When using the sampling feature, you need to modify the ORDER BY and SAMPLE BY statements in the table creation statement. For more details, please refer to the following resources:clickhouse doc 。 Note that the sampling field can be a user-defined field, but the field must be of type UInt64. It is recommended to use the @timestamp field as the sampling field instead of creating an additional field. create database ckibana;use ckibana;CREATE TABLE ckibana.table_local( `request_method` LowCardinality(String), `request_time` Float64, `http_host` String, `@timestamp` UInt64, `ck_assembly_extension` String, INDEX timestamp_index `@timestamp` TYPE minmax GRANULARITY 8192)ENGINE = MergeTreePARTITION BY (toYYYYMMDD(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')), toHour(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')))ORDER BY (`http_host`, intHash64(`@timestamp`))SAMPLE BY intHash64(`@timestamp`)SETTINGS in_memory_parts_enable_wal = 0, index_granularity = 8192;CREATE TABLE IF NOT EXISTS ckibana.table_all AS ckibana.table_local ENGINE Distributed('clickhouse_cluster', ckibana, table_local, rand()); Copy","s":"Table creation instructions","u":"/ckibana-docs/zh/en/api-docs","h":"#table-creation-instructions","p":166},{"i":176,"t":"By default, the index name for this is proxy-settings. Detailed explanation of parameters​ To update the Elasticsearch metadata cluster configuration, the following interface is provided by CKibana. 1）Updating ClickHouse configuration curl --location --request POST 'localhost:8080/config/updateCk?url=ckUrl&user=default&pass=default&defaultCkDatabase=ops' Copy 2）Updating Elasticsearch configuration curl --location --request POST 'localhost:8080/config/updateEs?host=esHost&headers=key:value,key2:value2' Copy 3）Updating whitelist index curl --location --request POST 'localhost:8080/config/updateWhiteIndexList?list=index1,index2' Copy 4）Updating blacklist index curl --location --request POST 'localhost:8080/config/updateBlackIndexList?list=index1,index2' Copy 5）Updating sampling index curl --location --request POST 'localhost:8080/config/updateSampleIndexList?list=index1,index2' Copy 6）Updating sampleCountMaxThreshold curl --location --request POST 'localhost:8080/config/updateSampleCountMaxThreshold?sampleCountMaxThreshold=1500000' Copy 7）Updating useCache curl --location --request POST 'localhost:8080/config/updateUseCache?useCache=true' Copy 8）Updating roundAbleMinPeriod curl --location --request POST 'localhost:8080/config/updateRoundAbleMinPeriod?roundAbleMinPeriod=1200000' Copy 9）Updating maxTimeRange curl --location --request POST 'localhost:8080/config/updateMaxTimeRange?maxTimeRange=864000000' Copy 10）Updating enableMonitoring curl --location --request POST 'localhost:8080/config/updateEnableMonitoring?enableMonitoring=false' Copy 11）Updating msearchThreadPoolCoreSize curl --location --request POST 'localhost:8080/config/updateMsearchThreadPoolCoreSize?msearchThreadPoolCoreSize=4' Copy 12）Get configuration curl --location 'localhost:8080/config/all' Copy 13）Full update configuration interface curl --location 'localhost:8080/config/all' \\--header 'Content-Type: application/json' \\--data '{ \"query\":{ \"sampleIndexPatterns\":[ \"index1\", \"index2\" ], \"sampleCountMaxThreshold\":\"1500000\", \"useCache\":false }, \"proxy\":{ \"roundAbleMinPeriod\":120000, \"maxTimeRange\":86400000, \"enableMonitoring\":true, \"blackIndexList\":[ \"index1\", \"index2\" ], \"whiteIndexList\":[ \"index1\", \"index2\" ], \"es\":{ \"host\":\"esHost \"headers\":[ { \"Authorization\":\"yourEsClusterAuthorization\" } ] }, \"ck\":{ \"url\":\"ckUrl\", \"user\":\"default\", \"pass\":\"default\", \"defaultCkDatabase\":\"ops\" } }}' Copy","s":"proxy-settings","u":"/ckibana-docs/zh/en/api-docs","h":"#proxy-settings","p":166},{"i":178,"t":"Provide monitoring index. Can be enabled through configuration. This index can be used for SQL monitoring on Kibana.","s":"proxy-monitor","u":"/ckibana-docs/zh/en/api-docs","h":"#proxy-monitor","p":166},{"i":180,"t":"Index query SQL blacklist. Can be enabled through configuration. This index can be directly operated through Kibana proxy： GET​ curl --location 'http://localhost:8080/proxy/_black_list' Copy Insert​ range: Query interval (in milliseconds) sql: Query statement with time range exclusion. Can be obtained in monitor logs. curl --location 'http://localhost:8080/proxy/_black_list' \\--header 'Content-Type: application/json' \\--data-raw '{ \"range\": \"900000\", \"sql\": \"((`@timestamp` = 1698293120000))\"}' Copy Delete​ curl --location --request DELETE 'http://localhost:8080/proxy/_black_list/{id}' Copy","s":"proxy-black-list","u":"/ckibana-docs/zh/en/api-docs","h":"#proxy-black-list","p":166},{"i":182,"t":"On this page","s":"usercase","u":"/ckibana-docs/zh/en/UserCase","h":"","p":181},{"i":187,"t":"curl --location --request POST 'localhost:8080/config/updateCk?url=ckUrl&user=default&pass=default&defaultCkDatabase=ops' Copy","s":"4、Configuring the ClickHouse connection information in CKibana.","u":"/ckibana-docs/zh/en/UserCase","h":"#4configuring-the-clickhouse-connection-information-in-ckibana","p":181},{"i":191,"t":"When the data volume is relatively large, turn on sampling can effectively improve the query performance. Note: If the sampling threshold is set too low, the restored trend graph will be different from the real one.","s":"7、Enable Sampling","u":"/ckibana-docs/zh/en/UserCase","h":"#7enable-sampling","p":181},{"i":193,"t":"You can monitor what syntaxes are being queried right now, and with the blacklist feature, you can effectively alleviate the problem of clickhouse resources being too high due to improper usage. Using monitoring metrics, you can make charts and graphs to increase observability. For example, the time consumed for each query:","s":"8、Enable query monitoring","u":"/ckibana-docs/zh/en/UserCase","h":"#8enable-query-monitoring","p":181},{"i":195,"t":"You can round fetch the time, which works well with query caching to improve performance. Common case, kibana inside a group of users in the query the same question, when the query conditions are highly consistent, configure round can be very good to ease the pressure of ClickHouse.","s":"9、Configure round time","u":"/ckibana-docs/zh/en/UserCase","h":"#9configure-round-time","p":181},{"i":197,"t":"When the query statement is consistent with the query time, the later query can hit the es cache very well, relieving the pressure on clickhouse. query.useCache: true Copy It can be seen that a hit to cache takes only 2ms, and 80ms in the case of no hit. This configuration is turned off by default, but we recommend turning it on as well. Using Elasticsearch as the underlying storage medium, of course, the storage cost will be correspondingly higher, you need to maintain the proxy-cache index life cycle to regularly clean up the cold data.","s":"10、Enable query cache","u":"/ckibana-docs/zh/en/UserCase","h":"#10enable-query-cache","p":181},{"i":199,"t":"On this page","s":"简介","u":"/ckibana-docs/zh/zh/","h":"","p":198},{"i":201,"t":"版本支持: 兼容ElasticSearch跟kibana 6.x、7.x、8.x 版本 语法支持: 兼容ElasticSearch常用语法(注: ip_range跟date_range仅可在搜索框中使用querystring语法查询) 采样功能: 对于命中结果超过阈值的查询,支持动态计算采样+还原结果,提高查询性能且保障图表趋势基本跟真实数据趋势一致(限流阈值越大跟真实图表趋势越接近)。 缓存功能: 支持使用ElasticSearch来做结果缓存,来提升重复查询的性能 时间Round功能: 支持round查询时间,比如20s的round(例子: 查询时间秒在0-19s则自动round到0,20s-39s自动round到20s,比如查询时间是从01:50:15到05:52:47,则自动调整为从01: 50:00到05:52:40),配合缓存功能使用可以很好的缓解多个用户并发查询相同语句造成ClickHouse的压力 黑名单功能: 支持设置黑名单来防止复杂语句造成ClickHouse压力 查询模板功能: 支持按照去除时间后的语法监控,方便快速定位问题,配合黑名单功能一起使用可以很好的保障ClickHouse 查询熔断: 支持配置最大查询时间范围等高级功能 支持的聚合语法：​","s":"功能特性","u":"/ckibana-docs/zh/zh/","h":"#功能特性","p":198},{"i":204,"t":"要快速体验ckibana，可以通过docker-compose进行快速部署 ckibana-quick-start文档 # 进入docker-compose目录cd ckibana/docker-compose# 部署docker-compose up -d Copy 部署完成后，在浏览器访问kibana：http://127.0.0.1:5601/ 已内置了mock数据的流程，导入kibana配置文件（大盘、index-pattern等），就可以开始体验了！ 配置文件路径：docker-compose/quickstart-export.json 效果展示：","s":"quick start","u":"/ckibana-docs/zh/zh/","h":"#quick-start","p":198},{"i":206,"t":"ckibana可以在所有主要操作系统上运行，需要安装Java JDK版本17或更高版本。要检查，请运行 java -version: $ java -versionjava version \"17.0.5\" Copy 代理服务依赖ES、CK、Kibana服务，需要提前准备好。以下只包含从ck查询数据步骤，不包含写数据到ck的步骤。 1）建库、建表 在ck中初始化库、表结构，可以参考api-docs 建表详解部分 2）启动ckibana 修改ckibana中的ES配置，需要改为自身的ES信息，配置文件路径为src/main/resources/application.yml metadata-config: hosts: your es metadata cluster hosts headers: headerKey: yourHeaderValue Copy 打包运行 或者 本地运行直接com.ly.ckibana.Bootstrap类即可 ### start ckibana$ nohup java -jar ckibana.jar > run.out 2>&1 &### check whether ckibana is successfully started$ tail -f ~/logs/app.logTomcat started on port(s): 8080 (http) with context path ''Started Bootstrap in 1.474 seconds Copy 3）启动kibana kibana的elasticsearchHosts参数配置为ckibana代理地址，这样就能走到代理服务中来 eg：elasticsearchHosts=http://ip:port Copy 4）配置index pattern白名单 配置了对应的白名单，才可以在下一步创建index pattern，可以参考api-docs 更新白名单索引接口 5）在kibana中创建index pattern 在kibana页面创建index pattern，名字跟1）的表名一致，且4）中配置白名单，然后就可以在kibana中进行查询了 eg：如果ck表名是table_test，则创建index pattern的名字就是table_test Copy 以上5步都操作完以后，就可以创建大盘，开始进行使用了","s":"本地运行 ckibana","u":"/ckibana-docs/zh/zh/","h":"#本地运行-ckibana","p":198},{"i":208,"t":"分段查询: 支持自动拆分查询时间,可以充分利用缓存,提升查询性能","s":"TODO","u":"/ckibana-docs/zh/zh/","h":"#todo","p":198},{"i":210,"t":"CKibane-docs","s":"文档地址","u":"/ckibana-docs/zh/zh/","h":"#文档地址","p":198},{"i":212,"t":"愿意参与构建CKibana或者是需要交流问题可以加入微信群(企业版微信和个人版本微信均可)","s":"Contact","u":"/ckibana-docs/zh/zh/","h":"#contact","p":198},{"i":214,"t":"Apache License, Version 2.0 Copyright (C) Apache Software Foundation","s":"License","u":"/ckibana-docs/zh/zh/","h":"#license","p":198},{"i":216,"t":"On this page","s":"api-docs","u":"/ckibana-docs/zh/zh/api-docs","h":"","p":215},{"i":218,"t":"该文件是一些基本配置，端口、日志等，核心的就是metadata-config参数了。 例子：metadata-config: hosts: your es metadata cluster hosts headers: Authorization: 'username password' Copy","s":"application文件","u":"/ckibana-docs/zh/zh/api-docs","h":"#application文件","p":215},{"i":221,"t":"建表语句中的字段，时间字段是必需，如表中的@timestamp字段，作为在kibana创建index pattern时的时间选项，其它字段根据本身业务查询条件按需添加。 下面是一个建表语句的例子 create database ckibana;use ckibana;CREATE TABLE ckibana.table_local( `request_method` LowCardinality(String), `request_time` Float64, `http_host` String, `@timestamp` UInt64, `ck_assembly_extension` String, INDEX timestamp_index `@timestamp` TYPE minmax GRANULARITY 8192)ENGINE = MergeTreePARTITION BY (toYYYYMMDD(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')), toHour(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')))ORDER BY (`http_host`)SETTINGS in_memory_parts_enable_wal = 0, index_granularity = 8192;CREATE TABLE IF NOT EXISTS ckibana.table_all AS ckibana.table_local ENGINE Distributed('clickhouse_cluster', ckibana, table_local, rand()); Copy 当要使用采样功能时，需要在建表语句中修改ORDER BY、SAMPLE BY语句，更详细可以参考clickhouse官方说明 。 说明：采样字段可以是自己定义的字段，但是字段必须设置为UInt64类型，推荐还是使用@timestamp字段作为采样字段，不用额外创建字段 create database ckibana;use ckibana;CREATE TABLE ckibana.table_local( `request_method` LowCardinality(String), `request_time` Float64, `http_host` String, `@timestamp` UInt64, `ck_assembly_extension` String, INDEX timestamp_index `@timestamp` TYPE minmax GRANULARITY 8192)ENGINE = MergeTreePARTITION BY (toYYYYMMDD(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')), toHour(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')))ORDER BY (`http_host`, intHash64(`@timestamp`))SAMPLE BY intHash64(`@timestamp`)SETTINGS in_memory_parts_enable_wal = 0, index_granularity = 8192;CREATE TABLE IF NOT EXISTS ckibana.table_all AS ckibana.table_local ENGINE Distributed('clickhouse_cluster', ckibana, table_local, rand()); Copy","s":"建表说明","u":"/ckibana-docs/zh/zh/api-docs","h":"#建表说明","p":215},{"i":225,"t":"默认该索引名为proxy-settings，如您使用一个元数据集群来管理多个kibana proxy，可以利用application.yml的metadata.config.tingsSuffix属性。 参数详解​ 更新ES元数据集群配置，ckibana提供如下接口 1）更新CK配置 curl --location --request POST 'localhost:8080/config/updateCk?url=ckUrl&user=default&pass=default&defaultCkDatabase=ops' Copy 2）更新ES配置 curl --location --request POST 'localhost:8080/config/updateEs?host=esHost&headers=key:value,key2:value2' Copy 3）更新白名单索引 curl --location --request POST 'localhost:8080/config/updateWhiteIndexList?list=index1,index2' Copy 4）更新黑名单索引 curl --location --request POST 'localhost:8080/config/updateBlackIndexList?list=index1,index2' Copy 5）更新采样索引 curl --location --request POST 'localhost:8080/config/updateSampleIndexList?list=index1,index2' Copy 6）更新sampleCountMaxThreshold curl --location --request POST 'localhost:8080/config/updateSampleCountMaxThreshold?sampleCountMaxThreshold=1500000' Copy 7）更新useCache curl --location --request POST 'localhost:8080/config/updateUseCache?useCache=true' Copy 8）更新roundAbleMinPeriod curl --location --request POST 'localhost:8080/config/updateRoundAbleMinPeriod?roundAbleMinPeriod=1200000' Copy 9）更新maxTimeRange curl --location --request POST 'localhost:8080/config/updateMaxTimeRange?maxTimeRange=864000000' Copy 10）更新enableMonitoring curl --location --request POST 'localhost:8080/config/updateEnableMonitoring?enableMonitoring=false' Copy 11）更新msearchThreadPoolCoreSize curl --location --request POST 'localhost:8080/config/updateMsearchThreadPoolCoreSize?msearchThreadPoolCoreSize=4' Copy 12）获取配置接口 curl --location 'localhost:8080/config/all' Copy 13）全量更新配置接口 curl --location 'localhost:8080/config/all' \\--header 'Content-Type: application/json' \\--data '{ \"query\":{ \"sampleIndexPatterns\":[ \"index1\", \"index2\" ], \"sampleCountMaxThreshold\":\"1500000\", \"useCache\":false }, \"proxy\":{ \"roundAbleMinPeriod\":120000, \"maxTimeRange\":86400000, \"enableMonitoring\":true, \"blackIndexList\":[ \"index1\", \"index2\" ], \"whiteIndexList\":[ \"index1\", \"index2\" ], \"es\":{ \"host\":\"esHost \"headers\":[ { \"Authorization\":\"yourEsClusterAuthorization\" } ] }, \"ck\":{ \"url\":\"ckUrl\", \"user\":\"default\", \"pass\":\"default\", \"defaultCkDatabase\":\"ops\" } }}' Copy","s":"proxy-settings","u":"/ckibana-docs/zh/zh/api-docs","h":"#proxy-settings","p":215},{"i":227,"t":"提供监控索引。可以通过配置打开。 可利用该索引进行kibana上的sql监控。","s":"proxy-monitor","u":"/ckibana-docs/zh/zh/api-docs","h":"#proxy-monitor","p":215},{"i":229,"t":"索引查询sql黑名单。可以通过配置打开。 该索引可以通过kibana proxy直接操作： 获取​ curl --location 'http://localhost:8080/proxy/_black_list' Copy 新增​ range: 查询间隔（毫秒） sql: 去除时间范围的条件查询语句，可在monitor日志中获取到 curl --location 'http://localhost:8080/proxy/_black_list' \\--header 'Content-Type: application/json' \\--data-raw '{ \"range\": \"900000\", \"sql\": \"((`@timestamp` = 1698293120000))\"}' Copy 删除​ curl --location --request DELETE 'http://localhost:8080/proxy/_black_list/{id}' Copy","s":"proxy-black-list","u":"/ckibana-docs/zh/zh/api-docs","h":"#proxy-black-list","p":215},{"i":231,"t":"On this page","s":"troubleshooting","u":"/ckibana-docs/zh/zh/troubleshooting","h":"","p":230},{"i":233,"t":"报此错误大概率是初始化的配置不正常 1）检查配置的元数据集群是否正确 2）检查kibana配置的elasticsearchHosts参数，代理地址是否正确，能否访问出现如下信息，有如下信息才表示代理配置正常","s":"1、CKibana启动成功且没报错，但是访问kibana出现如下错误","u":"/ckibana-docs/zh/zh/troubleshooting","h":"#1ckibana启动成功且没报错但是访问kibana出现如下错误","p":230},{"i":235,"t":"如图，红框处在创建index pattern的时候，如果没有选项可以创建index pattern，正常indices数量是大于0的","s":"2、创建不了index pattern","u":"/ckibana-docs/zh/zh/troubleshooting","h":"#2创建不了index-pattern","p":230},{"i":237,"t":"1）首先确定输入的index pattern跟ck表是否一致，index pattern跟跟ck表名是精确匹配 2）检查ck配置是否正常 3）使用日志中输出的sql，在ck中是否能查询到对应表","s":"排查步骤如下","u":"/ckibana-docs/zh/zh/troubleshooting","h":"#排查步骤如下","p":230},{"i":239,"t":"匹配时间字段的逻辑是： 1）字段为Date类型，比如DateTime64类型，会被认为是时间类型 2）或者字段名中包含time，比如（@timestamp UInt64），会被认为是时间类型 这两种情况下满足任意一个，字段都会被认为是时间字段，如果选择不了时间字段，需要检查下ck表中字段是否符合匹配逻辑","s":"3、创建index pattern时候，选不了时间字段","u":"/ckibana-docs/zh/zh/troubleshooting","h":"#3创建index-pattern时候选不了时间字段","p":230},{"i":241,"t":"打开f12,可以看到响应的里面有sql,可以看到具体的执行sql","s":"4、查不出来数据","u":"/ckibana-docs/zh/zh/troubleshooting","h":"#4查不出来数据","p":230},{"i":243,"t":"可以基于ClickHouse的system.query_log 来做具体分析,重点关注read_rows跟read_bytes2个指标 处理方案包括: **1）找到对应sql加入CKibana黑名单 **2）调整对应的图表","s":"5、ClickHouse cpu占用过高","u":"/ckibana-docs/zh/zh/troubleshooting","h":"#5clickhouse-cpu占用过高","p":230},{"i":245,"t":"On this page","s":"usercase","u":"/ckibana-docs/zh/zh/UserCase","h":"","p":244},{"i":250,"t":"curl --location --request POST 'localhost:8080/config/updateCk?url=ckUrl&user=default&pass=default&defaultCkDatabase=ops' Copy","s":"4、配置ckibana中的ck连接信息","u":"/ckibana-docs/zh/zh/UserCase","h":"#4配置ckibana中的ck连接信息","p":244},{"i":254,"t":"当数据量比较大的时候，开启采样可以有效的提升查询性能，注: 采样阈值设置的低了，还原后的趋势图跟真实图会有差异。","s":"7、开启采样","u":"/ckibana-docs/zh/zh/UserCase","h":"#7开启采样","p":244},{"i":256,"t":"可以监控现在用了哪些语法在查询，配合黑名单功能，可以有效缓解使用不当造成的clickhouse资源过高的问题。 利用监控指标，可以做一些图表，增加可观测性。 例如，每种查询的耗时情况：","s":"8、开启查询监控","u":"/ckibana-docs/zh/zh/UserCase","h":"#8开启查询监控","p":244},{"i":258,"t":"可以对时间进行round取值，这样可以很好的配合查询缓存来提升性能。 常见case，kibana里面一群用户在查询相同一个问题，此时查询条件高度一致，配置round可以很好的缓解ClickHouse的压力。","s":"9、设置round时间","u":"/ckibana-docs/zh/zh/UserCase","h":"#9设置round时间","p":244},{"i":260,"t":"当查询语句跟查询时间都一致时，后面的查询可以很好的命中es的缓存，缓解clickhouse的压力。 query.useCache: true Copy 可见命中cache耗时仅有2ms，没命中的情况下在80毫秒。此配置默认关闭，我们也建议开启此配置。 利用ES底层作为存储媒介，当然存储成本也会相应的增高，需要您去维护proxy-cache索引的生命周期定期清理冷数据。","s":"10、开启查询缓存","u":"/ckibana-docs/zh/zh/UserCase","h":"#10开启查询缓存","p":244}],"index":{"version":"2.3.9","fields":["t"],"fieldVectors":[["t/140",[0,3.06]],["t/142",[1,1.947,2,4.99,3,3.064,4,2.66,5,0.592,6,1.317,7,3.294,8,1.317,9,1.317,10,4.138,11,1.631,12,1.452,13,1.631,14,1.317,15,2.66,16,1.631,17,1.317,18,2,19,2.125,20,1.631,21,1.904,22,1.631,23,1.947,24,5.425,25,1.631,26,3.845,27,1.904,28,2.625,29,1.904,30,1.904,31,1.631,32,2.12,33,2.12,34,3.064,35,1.631,36,3.294,37,2.336,38,1.452,39,2.625,40,0.918,41,1.904,42,1.904,43,1.904,44,1.904,45,2.444,46,1.904,47,2.344,48,3.341,49,2.931,50,3.294,51,3.359,52,1.242,53,1.631,54,3.294,55,1.631,56,2.625,57,2.625,58,1.631,59,2.625,60,2.625,61,1.631,62,1.631,63,1.631,64,1.631,65,3.064,66,2.12,67,1.631,68,2.336,69,1.259,70,3.064,71,1.904,72,1.631,73,2.12,74,1.904,75,1.044,76,2.444,77,1.121,78,1.904,79,1.904,80,1.904,81,1.21,82,1.904,83,1.904,84,1.452,85,1.631,86,1.044,87,1.904,88,1.904,89,1.904,90,1.631,91,1.452,92,1.317,93,0.816,94,1.904,95,1.904]],["t/145",[5,1.717,19,1.673,40,1.673,52,1.949,66,2.4,84,2.645,93,2.062,96,4.811,97,3.469,98,4.811,99,5.109,100,5.366,101,2.062,102,3.328,103,2.205,104,3.469,105,3.469,106,2.972,107,3.469,108,2.645,109,2.972,110,1.136,111,2.972,112,2.972,113,3.469,114,1.781,115,2.972,116,1.261,117,2.972,118,2.972,119,3.469,120,2.972,121,2.645,122,3.469,123,3.667,124,2.972,125,1.261,126,1.576,127,2.972,128,3.469,129,2.645,130,2.972,131,2.972,132,2.042,133,3.469]],["t/147",[1,2.307,5,1.303,14,1.211,18,0.573,19,0.844,40,1.38,51,1.334,52,0.709,69,0.573,90,1.499,93,1.982,101,2.342,102,3.624,103,1.819,110,1.514,111,1.499,114,1.469,116,1.32,121,2.182,123,1.334,124,1.499,125,1.681,126,1.904,129,2.182,134,3.961,135,1.75,136,1.499,137,1.334,138,1.499,139,3.593,140,1.499,141,2.452,142,1.499,143,1.75,144,1.819,145,3.11,146,1.499,147,2.512,148,1.864,149,3.63,150,1.75,151,2.153,152,2.022,153,1.98,154,1.75,155,1.211,156,3.63,157,1.75,158,3.434,159,1.98,160,2.922,161,1.499,162,1.75,163,2.452,164,2.452,165,1.334,166,1.499,167,1.041,168,1.499,169,1.75,170,1.499,171,1.499,172,1.499,173,1.211,174,1.03,175,1.334,176,1.57,177,0.899,178,1.469,179,0.899,180,0.899,181,1.499,182,1.499,183,1.75,184,1.334,185,1.499,186,1.499,187,1.499,188,2.452,189,1.499,190,2.452,191,1.499,192,1.211,193,1.499,194,1.499,195,1.499,196,0.96,197,1.499,198,1.499,199,2.182,200,1.334,201,0.899,202,1.499,203,1.499,204,1.03,205,1.98,206,1.211,207,1.499,208,1.75,209,2.182,210,1.211,211,3.11,212,1.334,213,1.75,214,1.75,215,1.499,216,1.499,217,1.211,218,2.452,219,2.452,220,1.75]],["t/149",[2,4.465,18,2.198,32,3.606,33,3.606,45,3.312,47,2.367,54,4.465,221,5.212,222,5.212,223,5.212,224,5.212]],["t/151",[1,3.42,52,2.181,167,1.956,225,5.468,226,4.61,227,4.61,228,4.61,229,4.61,230,4.61]],["t/153",[0,3.06]],["t/155",[5,1.363,93,2.808,112,3.757,116,1.595,144,3.575,148,2.888,155,3.034,161,3.757,167,1.595,170,3.757,176,2.406,179,2.252,200,3.343,205,3.034,206,3.034,207,3.757,231,3.757,232,4.386,233,4.386,234,6.552,235,3.757,236,4.386,237,3.034]],["t/157",[22,4.329,52,2.048,125,2.235,126,2.791,158,4.252,237,3.496,238,5.053,239,5.053,240,4.329,241,5.053,242,4.329,243,5.053,244,5.053]],["t/159",[18,1.399,19,2.06,69,1.811,93,1.831,116,1.554,125,2.011,126,2.512,144,3.516,152,2.668,159,2.956,160,3.611,167,1.554,192,4.244,196,2.344,204,2.515,212,3.257,217,2.956,242,3.661,245,4.273,246,4.273,247,4.739,248,4.273,249,1.941,250,4.273]],["t/161",[17,2.744,47,3.063,69,1.298,92,3.645,116,1.442,144,2.521,153,2.744,160,2.335,167,1.442,192,2.744,217,2.744,247,4.514,251,5.269,252,6.061,253,2.176,254,3.398,255,5.916,256,3.967,257,3.398,258,2.335,259,2.744,260,3.024,261,3.967,262,3.967,263,3.967]],["t/163",[18,1.743,235,4.561,249,2.418,264,4.561,265,4.561,266,5.323,267,5.323,268,4.561,269,5.323,270,5.323,271,5.323]],["t/165",[18,1.821,37,3.286,62,3.692,69,1.411,76,2.739,101,1.847,116,1.567,118,3.692,121,3.286,137,3.286,167,1.567,196,2.364,212,4.241,237,2.982,249,1.957,264,3.692,272,4.31,273,4.31,274,3.692,275,3.692,276,4.31,277,4.31,278,3.692,279,4.766,280,3.692,281,4.31,282,4.31,283,4.31,284,4.31,285,4.31]],["t/167",[0,3.06]],["t/169",[35,3.93,92,3.174,93,1.966,110,1.502,123,3.497,127,3.93,151,2.355,176,3.479,177,2.972,178,2.972,179,2.355,180,2.355,196,2.517,199,3.497,206,4.005,209,3.497,257,3.93,286,4.588,287,3.174,288,3.93,289,3.93]],["t/172",[5,0.461,12,1.131,18,0.486,19,2.037,23,2.684,47,1.72,49,1.131,52,1.011,69,1.057,73,2.62,75,0.814,77,1.469,91,1.131,92,1.027,101,2.477,103,0.943,110,0.817,114,1.944,125,1.769,126,0.674,138,1.272,145,1.272,152,1.204,153,1.727,155,1.027,158,3.533,159,1.727,160,3.642,163,1.272,165,1.131,168,1.272,173,1.027,178,1.944,179,1.282,184,3.488,240,1.272,252,4.552,253,1.772,258,3.535,259,2.235,260,1.131,274,1.272,290,3.23,291,1.484,292,1.484,293,1.484,294,1.484,295,3.92,296,2.138,297,1.944,298,2.138,299,2.138,300,3.92,301,2.138,302,2.138,303,3.244,304,2.138,305,2.138,306,2.138,307,2.138,308,2.138,309,3.244,310,3.244,311,3.244,312,2.138,313,2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this page","s":"api-docs","u":"/ckibana-docs/zh/en/api-docs","h":"","p":139},{"i":142,"t":"This file contains some basic configurations such as ports, logging, etc. The core parameter is the metadata-config parameter. eg：metadata-config: hosts: your es metadata cluster hosts headers: Authorization: 'username password' Copy","s":"application.yaml","u":"/ckibana-docs/zh/en/api-docs","h":"#applicationyaml","p":139},{"i":145,"t":"The time field is required in the table creation statement, such as the @timestamp field in the table, which is used as the time option when creating an index pattern in Kibana. Other fields should be added as needed based on the query conditions of the business itself. Here is an example of a table creation statement. create database ckibana;use ckibana;CREATE TABLE ckibana.table_local( `request_method` LowCardinality(String), `request_time` Float64, `http_host` String, `@timestamp` UInt64, `ck_assembly_extension` String, INDEX timestamp_index `@timestamp` TYPE minmax GRANULARITY 8192)ENGINE = MergeTreePARTITION BY (toYYYYMMDD(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')), toHour(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')))ORDER BY (`http_host`)SETTINGS in_memory_parts_enable_wal = 0, index_granularity = 8192;CREATE TABLE IF NOT EXISTS ckibana.table_all AS ckibana.table_local ENGINE Distributed('clickhouse_cluster', ckibana, table_local, rand()); Copy When using the sampling feature, you need to modify the ORDER BY and SAMPLE BY statements in the table creation statement. For more details, please refer to the following resources:clickhouse doc 。 Note that the sampling field can be a user-defined field, but the field must be of type UInt64. It is recommended to use the @timestamp field as the sampling field instead of creating an additional field. create database ckibana;use ckibana;CREATE TABLE ckibana.table_local( `request_method` LowCardinality(String), `request_time` Float64, `http_host` String, `@timestamp` UInt64, `ck_assembly_extension` String, INDEX timestamp_index `@timestamp` TYPE minmax GRANULARITY 8192)ENGINE = MergeTreePARTITION BY (toYYYYMMDD(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')), toHour(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')))ORDER BY (`http_host`, intHash64(`@timestamp`))SAMPLE BY intHash64(`@timestamp`)SETTINGS in_memory_parts_enable_wal = 0, index_granularity = 8192;CREATE TABLE IF NOT EXISTS ckibana.table_all AS ckibana.table_local ENGINE Distributed('clickhouse_cluster', ckibana, table_local, rand()); Copy","s":"Table creation instructions","u":"/ckibana-docs/zh/en/api-docs","h":"#table-creation-instructions","p":139},{"i":149,"t":"By default, the index name for this is proxy-settings. Detailed explanation of parameters​ To update the Elasticsearch metadata cluster configuration, the following interface is provided by CKibana. 1）Updating ClickHouse configuration curl --location --request POST 'localhost:8080/config/updateCk?url=ckUrl&user=default&pass=default&defaultCkDatabase=ops' Copy 2）Updating Elasticsearch configuration curl --location --request POST 'localhost:8080/config/updateEs?host=esHost&headers=key:value,key2:value2' Copy 3）Updating whitelist index curl --location --request POST 'localhost:8080/config/updateWhiteIndexList?list=index1,index2' Copy 4）Updating blacklist index curl --location --request POST 'localhost:8080/config/updateBlackIndexList?list=index1,index2' Copy 5）Updating sampling index curl --location --request POST 'localhost:8080/config/updateSampleIndexList?list=index1,index2' Copy 6）Updating sampleCountMaxThreshold curl --location --request POST 'localhost:8080/config/updateSampleCountMaxThreshold?sampleCountMaxThreshold=1500000' Copy 7）Updating useCache curl --location --request POST 'localhost:8080/config/updateUseCache?useCache=true' Copy 8）Updating roundAbleMinPeriod curl --location --request POST 'localhost:8080/config/updateRoundAbleMinPeriod?roundAbleMinPeriod=1200000' Copy 9）Updating maxTimeRange curl --location --request POST 'localhost:8080/config/updateMaxTimeRange?maxTimeRange=864000000' Copy 10）Updating enableMonitoring curl --location --request POST 'localhost:8080/config/updateEnableMonitoring?enableMonitoring=false' Copy 11）Updating msearchThreadPoolCoreSize curl --location --request POST 'localhost:8080/config/updateMsearchThreadPoolCoreSize?msearchThreadPoolCoreSize=4' Copy 12）Get configuration curl --location 'localhost:8080/config/all' Copy 13）Full update configuration interface curl --location 'localhost:8080/config/all' \\--header 'Content-Type: application/json' \\--data '{ \"query\":{ \"sampleIndexPatterns\":[ \"index1\", \"index2\" ], \"sampleCountMaxThreshold\":\"1500000\", \"useCache\":false }, \"proxy\":{ \"roundAbleMinPeriod\":120000, \"maxTimeRange\":86400000, \"enableMonitoring\":true, \"blackIndexList\":[ \"index1\", \"index2\" ], \"whiteIndexList\":[ \"index1\", \"index2\" ], \"es\":{ \"host\":\"esHost \"headers\":[ { \"Authorization\":\"yourEsClusterAuthorization\" } ] }, \"ck\":{ \"url\":\"ckUrl\", \"user\":\"default\", \"pass\":\"default\", \"defaultCkDatabase\":\"ops\" } }}' Copy","s":"proxy-settings","u":"/ckibana-docs/zh/en/api-docs","h":"#proxy-settings","p":139},{"i":151,"t":"Provide monitoring index. Can be enabled through configuration. This index can be used for SQL monitoring on Kibana.","s":"proxy-monitor","u":"/ckibana-docs/zh/en/api-docs","h":"#proxy-monitor","p":139},{"i":153,"t":"Index query SQL blacklist. Can be enabled through configuration. This index can be directly operated through Kibana proxy： GET​ curl --location 'http://localhost:8080/proxy/_black_list' Copy Insert​ range: Query interval (in milliseconds) sql: Query statement with time range exclusion. Can be obtained in monitor logs. curl --location 'http://localhost:8080/proxy/_black_list' \\--header 'Content-Type: application/json' \\--data-raw '{ \"range\": \"900000\", \"sql\": \"((`@timestamp` = 1698293120000))\"}' Copy Delete​ curl --location --request DELETE 'http://localhost:8080/proxy/_black_list/{id}' Copy","s":"proxy-black-list","u":"/ckibana-docs/zh/en/api-docs","h":"#proxy-black-list","p":139},{"i":155,"t":"On this page","s":"Introduce","u":"/ckibana-docs/zh/en/","h":"","p":154},{"i":157,"t":"Version Support: Compatible with ElasticSearch and Kibana versions 6.x, 7.x, and 8.x. Syntax Support: Compatible with common ElasticSearch syntax (note: ip_range and date_range can only be queried using the querystring syntax in the search box). Sampling Function: For queries with hit results exceeding the threshold, it supports dynamic calculation of sampling and result restoration to improve query performance and ensure that the basic trend of the chart is consistent with the real data trend (the larger the flow control threshold, the closer the real chart trend is). Cache Function: Supports using ElasticSearch to cache results to improve the performance of repeated queries. Time Round Function: Supports rounding query time, for example, round 20 seconds (example: if the query time is in seconds 0-19, it will automatically round to 0; if it is in seconds 20-39, it will automatically round to 20 seconds, for example, if the query time is from 01:50:15 to 05:52:47, it will automatically adjust to 01:50:00 to 05:52:40). Used in conjunction with the cache function, it can effectively alleviate the pressure on ClickHouse caused by concurrent queries of the same statement by multiple users. Blacklist Function: Supports setting a blacklist to prevent complex statements from causing pressure on ClickHouse. Query Template Function: Supports syntax monitoring after removing time to facilitate quick problem location. Used in conjunction with the blacklist function, it can effectively ensure the stability of ClickHouse. Query Circuit Breaker: Supports advanced features such as configuring the maximum query time range. Supported Aggregation Syntax:​","s":"Features","u":"/ckibana-docs/zh/en/","h":"#features","p":154},{"i":160,"t":"To quickly experience Kibana, you can deploy it quickly using docker-compose. ckibana-quick-start-doc # Enter the docker-compose directory.cd ckibana/docker-compose# Deploydocker-compose up -d Copy After deployment is complete, access Kibana in a browser at： http://127.0.0.1:5601/ A process with built-in mock data has been included. After importing the Kibana configuration file (dashboard, index-pattern, etc.), you can start experiencing it! Configuration file path：docker-compose/quickstart-export.json Effect display：","s":"quick start","u":"/ckibana-docs/zh/en/","h":"#quick-start","p":154},{"i":162,"t":"CKibana can be run on all major operating systems and requires Java JDK version 17 or higher to be installed. To check, please run:java -version: $ java -versionjava version \"17.0.5\" Copy The proxy service depends on the ES, CK, and Kibana services, which need to be prepared in advance. The following steps only include querying data from CK and do not include writing data to CK. 1）Create a database and a table To initialize database and table structures in ClickHouse, please refer to:api-docs Detailed explanation of creating a table 2）Start CKibana To modify the ES configuration in CKibana, you need to change it to your own ES information. The configuration file path is src/main/resources/application.yml metadata-config: hosts: your es metadata cluster hosts headers: headerKey: yourHeaderValue Copy Package and run or run locally directly com.ly.ckibana.Bootstrap ### start ckibana$ nohup java -jar ckibana.jar > run.out 2>&1 &### check whether ckibana is successfully started$ tail -f ~/logs/app.logTomcat started on port(s): 8080 (http) with context path ''Started Bootstrap in 1.474 seconds Copy 3）start kibana Configure the elasticsearchHosts parameter in Kibana to the CKibana proxy address, so that it can be routed to the proxy service. eg：elasticsearchHosts=http://ip:port Copy 4）Configure the index pattern whitelist Only after configuring the corresponding whitelist can you proceed to create it in the next step index pattern，please refer to:api-docs Update the whitelist index interface 5）Create index pattern in Kibana eg：If the CK table name is `table_test`, then create an index pattern `table_test` Copy After completing the above 5 steps, you can create a dashboard and start using it.","s":"Local run CKibana","u":"/ckibana-docs/zh/en/","h":"#local-run-ckibana","p":154},{"i":164,"t":"Segmented query: Supports automatically splitting query time, which can fully utilize the cache and improve query performance.","s":"TODO","u":"/ckibana-docs/zh/en/","h":"#todo","p":154},{"i":166,"t":"Apache License, Version 2.0 Copyright (C) Apache Software Foundation","s":"License","u":"/ckibana-docs/zh/en/","h":"#license","p":154},{"i":168,"t":"On this page","s":"troubleshooting","u":"/ckibana-docs/zh/en/troubleshooting","h":"","p":167},{"i":170,"t":"The high probability of this error is that the initialization configuration is not correct. 1）Check if the metadata cluster in the configuration is correct 2）Check the elasticsearchHosts parameter in Kibana's configuration to see if the proxy address is correct and accessible. The following information should appear to indicate that the proxy configuration is correct","s":"1、Cannot open Kibana.","u":"/ckibana-docs/zh/en/troubleshooting","h":"#1cannot-open-kibana","p":167},{"i":172,"t":"As shown in the picture, if there is no option to create an index pattern in the red box when creating an index pattern, the normal number of indices should be greater than 0.","s":"2、Unable to create an index pattern","u":"/ckibana-docs/zh/en/troubleshooting","h":"#2unable-to-create-an-index-pattern","p":167},{"i":174,"t":"1）determine whether the input index pattern matches the ck table. The index pattern should be an exact match to the ck table name. 2）Check whether the configuration of the ClickHouse database is normal. 3）Using the SQL output from the logs, check whether the corresponding table can be queried in ClickHouse","s":"The troubleshooting steps are as follows:","u":"/ckibana-docs/zh/en/troubleshooting","h":"#the-troubleshooting-steps-are-as-follows","p":167},{"i":176,"t":"The logic for matching the time field is: 1）Fields of type Date, such as DateTime64, will be recognized as time fields. 2）Alternatively, if the field name contains \"time\", such as (@timestamp UInt64), it will be recognized as a time field. Either of these conditions will be satisfied and the field will be recognized as a time field. If the time field cannot be selected, you need to check whether the fields in the ClickHouse table meet the matching logic.","s":"3、When creating an index pattern, the time field cannot be selected.","u":"/ckibana-docs/zh/en/troubleshooting","h":"#3when-creating-an-index-pattern-the-time-field-cannot-be-selected","p":167},{"i":178,"t":"You can see the specific SQL query being executed by opening the F12 console and inspecting the response.","s":"4、Unable to retrieve data.","u":"/ckibana-docs/zh/en/troubleshooting","h":"#4unable-to-retrieve-data","p":167},{"i":180,"t":"Specific analysis can be done based on system.query_log in ClickHouse, with a focus on the two indicators read_rows and read_bytes The processing plan includes: **1）Find the corresponding SQL query and add it to the CKibana blacklist. **2）Adjust the corresponding chart","s":"5、High CPU usage in ClickHouse","u":"/ckibana-docs/zh/en/troubleshooting","h":"#5high-cpu-usage-in-clickhouse","p":167},{"i":182,"t":"On this page","s":"usercase","u":"/ckibana-docs/zh/en/UserCase","h":"","p":181},{"i":187,"t":"curl --location --request POST 'localhost:8080/config/updateCk?url=ckUrl&user=default&pass=default&defaultCkDatabase=ops' Copy","s":"4、Configuring the ClickHouse connection information in CKibana.","u":"/ckibana-docs/zh/en/UserCase","h":"#4configuring-the-clickhouse-connection-information-in-ckibana","p":181},{"i":191,"t":"When the data volume is relatively large, turn on sampling can effectively improve the query performance. Note: If the sampling threshold is set too low, the restored trend graph will be different from the real one.","s":"7、Enable Sampling","u":"/ckibana-docs/zh/en/UserCase","h":"#7enable-sampling","p":181},{"i":193,"t":"You can monitor what syntaxes are being queried right now, and with the blacklist feature, you can effectively alleviate the problem of clickhouse resources being too high due to improper usage. Using monitoring metrics, you can make charts and graphs to increase observability. For example, the time consumed for each query:","s":"8、Enable query monitoring","u":"/ckibana-docs/zh/en/UserCase","h":"#8enable-query-monitoring","p":181},{"i":195,"t":"You can round fetch the time, which works well with query caching to improve performance. Common case, kibana inside a group of users in the query the same question, when the query conditions are highly consistent, configure round can be very good to ease the pressure of ClickHouse.","s":"9、Configure round time","u":"/ckibana-docs/zh/en/UserCase","h":"#9configure-round-time","p":181},{"i":197,"t":"When the query statement is consistent with the query time, the later query can hit the es cache very well, relieving the pressure on clickhouse. query.useCache: true Copy It can be seen that a hit to cache takes only 2ms, and 80ms in the case of no hit. This configuration is turned off by default, but we recommend turning it on as well. Using Elasticsearch as the underlying storage medium, of course, the storage cost will be correspondingly higher, you need to maintain the proxy-cache index life cycle to regularly clean up the cold data.","s":"10、Enable query cache","u":"/ckibana-docs/zh/en/UserCase","h":"#10enable-query-cache","p":181},{"i":199,"t":"On this page","s":"简介","u":"/ckibana-docs/zh/zh/","h":"","p":198},{"i":201,"t":"版本支持: 兼容ElasticSearch跟kibana 6.x、7.x、8.x 版本 语法支持: 兼容ElasticSearch常用语法(注: ip_range跟date_range仅可在搜索框中使用querystring语法查询) 采样功能: 对于命中结果超过阈值的查询,支持动态计算采样+还原结果,提高查询性能且保障图表趋势基本跟真实数据趋势一致(限流阈值越大跟真实图表趋势越接近)。 缓存功能: 支持使用ElasticSearch来做结果缓存,来提升重复查询的性能 时间Round功能: 支持round查询时间,比如20s的round(例子: 查询时间秒在0-19s则自动round到0,20s-39s自动round到20s,比如查询时间是从01:50:15到05:52:47,则自动调整为从01: 50:00到05:52:40),配合缓存功能使用可以很好的缓解多个用户并发查询相同语句造成ClickHouse的压力 黑名单功能: 支持设置黑名单来防止复杂语句造成ClickHouse压力 查询模板功能: 支持按照去除时间后的语法监控,方便快速定位问题,配合黑名单功能一起使用可以很好的保障ClickHouse 查询熔断: 支持配置最大查询时间范围等高级功能 支持的聚合语法：​","s":"功能特性","u":"/ckibana-docs/zh/zh/","h":"#功能特性","p":198},{"i":204,"t":"要快速体验ckibana，可以通过docker-compose进行快速部署 ckibana-quick-start文档 # 进入docker-compose目录cd ckibana/docker-compose# 部署docker-compose up -d Copy 部署完成后，在浏览器访问kibana：http://127.0.0.1:5601/ 已内置了mock数据的流程，导入kibana配置文件（大盘、index-pattern等），就可以开始体验了！ 配置文件路径：docker-compose/quickstart-export.json 效果展示：","s":"quick start","u":"/ckibana-docs/zh/zh/","h":"#quick-start","p":198},{"i":206,"t":"ckibana可以在所有主要操作系统上运行，需要安装Java JDK版本17或更高版本。要检查，请运行 java -version: $ java -versionjava version \"17.0.5\" Copy 代理服务依赖ES、CK、Kibana服务，需要提前准备好。以下只包含从ck查询数据步骤，不包含写数据到ck的步骤。 1）建库、建表 在ck中初始化库、表结构，可以参考api-docs 建表详解部分 2）启动ckibana 修改ckibana中的ES配置，需要改为自身的ES信息，配置文件路径为src/main/resources/application.yml metadata-config: hosts: your es metadata cluster hosts headers: headerKey: yourHeaderValue Copy 打包运行 或者 本地运行直接com.ly.ckibana.Bootstrap类即可 ### start ckibana$ nohup java -jar ckibana.jar > run.out 2>&1 &### check whether ckibana is successfully started$ tail -f ~/logs/app.logTomcat started on port(s): 8080 (http) with context path ''Started Bootstrap in 1.474 seconds Copy 3）启动kibana kibana的elasticsearchHosts参数配置为ckibana代理地址，这样就能走到代理服务中来 eg：elasticsearchHosts=http://ip:port Copy 4）配置index pattern白名单 配置了对应的白名单，才可以在下一步创建index pattern，可以参考api-docs 更新白名单索引接口 5）在kibana中创建index pattern 在kibana页面创建index pattern，名字跟1）的表名一致，且4）中配置白名单，然后就可以在kibana中进行查询了 eg：如果ck表名是table_test，则创建index pattern的名字就是table_test Copy 以上5步都操作完以后，就可以创建大盘，开始进行使用了","s":"本地运行 ckibana","u":"/ckibana-docs/zh/zh/","h":"#本地运行-ckibana","p":198},{"i":208,"t":"分段查询: 支持自动拆分查询时间,可以充分利用缓存,提升查询性能","s":"TODO","u":"/ckibana-docs/zh/zh/","h":"#todo","p":198},{"i":210,"t":"CKibane-docs","s":"文档地址","u":"/ckibana-docs/zh/zh/","h":"#文档地址","p":198},{"i":212,"t":"愿意参与构建CKibana或者是需要交流问题可以加入微信群(企业版微信和个人版本微信均可)","s":"Contact","u":"/ckibana-docs/zh/zh/","h":"#contact","p":198},{"i":214,"t":"Apache License, Version 2.0 Copyright (C) Apache Software Foundation","s":"License","u":"/ckibana-docs/zh/zh/","h":"#license","p":198},{"i":216,"t":"On this page","s":"api-docs","u":"/ckibana-docs/zh/zh/api-docs","h":"","p":215},{"i":218,"t":"该文件是一些基本配置，端口、日志等，核心的就是metadata-config参数了。 例子：metadata-config: hosts: your es metadata cluster hosts headers: Authorization: 'username password' Copy","s":"application文件","u":"/ckibana-docs/zh/zh/api-docs","h":"#application文件","p":215},{"i":221,"t":"建表语句中的字段，时间字段是必需，如表中的@timestamp字段，作为在kibana创建index pattern时的时间选项，其它字段根据本身业务查询条件按需添加。 下面是一个建表语句的例子 create database ckibana;use ckibana;CREATE TABLE ckibana.table_local( `request_method` LowCardinality(String), `request_time` Float64, `http_host` String, `@timestamp` UInt64, `ck_assembly_extension` String, INDEX timestamp_index `@timestamp` TYPE minmax GRANULARITY 8192)ENGINE = MergeTreePARTITION BY (toYYYYMMDD(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')), toHour(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')))ORDER BY (`http_host`)SETTINGS in_memory_parts_enable_wal = 0, index_granularity = 8192;CREATE TABLE IF NOT EXISTS ckibana.table_all AS ckibana.table_local ENGINE Distributed('clickhouse_cluster', ckibana, table_local, rand()); Copy 当要使用采样功能时，需要在建表语句中修改ORDER BY、SAMPLE BY语句，更详细可以参考clickhouse官方说明 。 说明：采样字段可以是自己定义的字段，但是字段必须设置为UInt64类型，推荐还是使用@timestamp字段作为采样字段，不用额外创建字段 create database ckibana;use ckibana;CREATE TABLE ckibana.table_local( `request_method` LowCardinality(String), `request_time` Float64, `http_host` String, `@timestamp` UInt64, `ck_assembly_extension` String, INDEX timestamp_index `@timestamp` TYPE minmax GRANULARITY 8192)ENGINE = MergeTreePARTITION BY (toYYYYMMDD(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')), toHour(toDateTime(`@timestamp` / 1000, 'Asia/Shanghai')))ORDER BY (`http_host`, intHash64(`@timestamp`))SAMPLE BY intHash64(`@timestamp`)SETTINGS in_memory_parts_enable_wal = 0, index_granularity = 8192;CREATE TABLE IF NOT EXISTS ckibana.table_all AS ckibana.table_local ENGINE Distributed('clickhouse_cluster', ckibana, table_local, rand()); Copy","s":"建表说明","u":"/ckibana-docs/zh/zh/api-docs","h":"#建表说明","p":215},{"i":225,"t":"默认该索引名为proxy-settings，如您使用一个元数据集群来管理多个kibana proxy，可以利用application.yml的metadata.config.tingsSuffix属性。 参数详解​ 更新ES元数据集群配置，ckibana提供如下接口 1）更新CK配置 curl --location --request POST 'localhost:8080/config/updateCk?url=ckUrl&user=default&pass=default&defaultCkDatabase=ops' Copy 2）更新ES配置 curl --location --request POST 'localhost:8080/config/updateEs?host=esHost&headers=key:value,key2:value2' Copy 3）更新白名单索引 curl --location --request POST 'localhost:8080/config/updateWhiteIndexList?list=index1,index2' Copy 4）更新黑名单索引 curl --location --request POST 'localhost:8080/config/updateBlackIndexList?list=index1,index2' Copy 5）更新采样索引 curl --location --request POST 'localhost:8080/config/updateSampleIndexList?list=index1,index2' Copy 6）更新sampleCountMaxThreshold curl --location --request POST 'localhost:8080/config/updateSampleCountMaxThreshold?sampleCountMaxThreshold=1500000' Copy 7）更新useCache curl --location --request POST 'localhost:8080/config/updateUseCache?useCache=true' Copy 8）更新roundAbleMinPeriod curl --location --request POST 'localhost:8080/config/updateRoundAbleMinPeriod?roundAbleMinPeriod=1200000' Copy 9）更新maxTimeRange curl --location --request POST 'localhost:8080/config/updateMaxTimeRange?maxTimeRange=864000000' Copy 10）更新enableMonitoring curl --location --request POST 'localhost:8080/config/updateEnableMonitoring?enableMonitoring=false' Copy 11）更新msearchThreadPoolCoreSize curl --location --request POST 'localhost:8080/config/updateMsearchThreadPoolCoreSize?msearchThreadPoolCoreSize=4' Copy 12）获取配置接口 curl --location 'localhost:8080/config/all' Copy 13）全量更新配置接口 curl --location 'localhost:8080/config/all' \\--header 'Content-Type: application/json' \\--data '{ \"query\":{ \"sampleIndexPatterns\":[ \"index1\", \"index2\" ], \"sampleCountMaxThreshold\":\"1500000\", \"useCache\":false }, \"proxy\":{ \"roundAbleMinPeriod\":120000, \"maxTimeRange\":86400000, \"enableMonitoring\":true, \"blackIndexList\":[ \"index1\", \"index2\" ], \"whiteIndexList\":[ \"index1\", \"index2\" ], \"es\":{ \"host\":\"esHost \"headers\":[ { \"Authorization\":\"yourEsClusterAuthorization\" } ] }, \"ck\":{ \"url\":\"ckUrl\", \"user\":\"default\", \"pass\":\"default\", \"defaultCkDatabase\":\"ops\" } }}' Copy","s":"proxy-settings","u":"/ckibana-docs/zh/zh/api-docs","h":"#proxy-settings","p":215},{"i":227,"t":"提供监控索引。可以通过配置打开。 可利用该索引进行kibana上的sql监控。","s":"proxy-monitor","u":"/ckibana-docs/zh/zh/api-docs","h":"#proxy-monitor","p":215},{"i":229,"t":"索引查询sql黑名单。可以通过配置打开。 该索引可以通过kibana proxy直接操作： 获取​ curl --location 'http://localhost:8080/proxy/_black_list' Copy 新增​ range: 查询间隔（毫秒） sql: 去除时间范围的条件查询语句，可在monitor日志中获取到 curl --location 'http://localhost:8080/proxy/_black_list' \\--header 'Content-Type: application/json' \\--data-raw '{ \"range\": \"900000\", \"sql\": \"((`@timestamp` = 1698293120000))\"}' Copy 删除​ curl --location --request DELETE 'http://localhost:8080/proxy/_black_list/{id}' Copy","s":"proxy-black-list","u":"/ckibana-docs/zh/zh/api-docs","h":"#proxy-black-list","p":215},{"i":231,"t":"On this page","s":"troubleshooting","u":"/ckibana-docs/zh/zh/troubleshooting","h":"","p":230},{"i":233,"t":"报此错误大概率是初始化的配置不正常 1）检查配置的元数据集群是否正确 2）检查kibana配置的elasticsearchHosts参数，代理地址是否正确，能否访问出现如下信息，有如下信息才表示代理配置正常","s":"1、CKibana启动成功且没报错，但是访问kibana出现如下错误","u":"/ckibana-docs/zh/zh/troubleshooting","h":"#1ckibana启动成功且没报错但是访问kibana出现如下错误","p":230},{"i":235,"t":"如图，红框处在创建index pattern的时候，如果没有选项可以创建index pattern，正常indices数量是大于0的","s":"2、创建不了index pattern","u":"/ckibana-docs/zh/zh/troubleshooting","h":"#2创建不了index-pattern","p":230},{"i":237,"t":"1）首先确定输入的index pattern跟ck表是否一致，index pattern跟跟ck表名是精确匹配 2）检查ck配置是否正常 3）使用日志中输出的sql，在ck中是否能查询到对应表","s":"排查步骤如下","u":"/ckibana-docs/zh/zh/troubleshooting","h":"#排查步骤如下","p":230},{"i":239,"t":"匹配时间字段的逻辑是： 1）字段为Date类型，比如DateTime64类型，会被认为是时间类型 2）或者字段名中包含time，比如（@timestamp UInt64），会被认为是时间类型 这两种情况下满足任意一个，字段都会被认为是时间字段，如果选择不了时间字段，需要检查下ck表中字段是否符合匹配逻辑","s":"3、创建index pattern时候，选不了时间字段","u":"/ckibana-docs/zh/zh/troubleshooting","h":"#3创建index-pattern时候选不了时间字段","p":230},{"i":241,"t":"打开f12,可以看到响应的里面有sql,可以看到具体的执行sql","s":"4、查不出来数据","u":"/ckibana-docs/zh/zh/troubleshooting","h":"#4查不出来数据","p":230},{"i":243,"t":"可以基于ClickHouse的system.query_log 来做具体分析,重点关注read_rows跟read_bytes2个指标 处理方案包括: **1）找到对应sql加入CKibana黑名单 **2）调整对应的图表","s":"5、ClickHouse cpu占用过高","u":"/ckibana-docs/zh/zh/troubleshooting","h":"#5clickhouse-cpu占用过高","p":230},{"i":245,"t":"On this page","s":"usercase","u":"/ckibana-docs/zh/zh/UserCase","h":"","p":244},{"i":250,"t":"curl --location --request POST 'localhost:8080/config/updateCk?url=ckUrl&user=default&pass=default&defaultCkDatabase=ops' Copy","s":"4、配置ckibana中的ck连接信息","u":"/ckibana-docs/zh/zh/UserCase","h":"#4配置ckibana中的ck连接信息","p":244},{"i":254,"t":"当数据量比较大的时候，开启采样可以有效的提升查询性能，注: 采样阈值设置的低了，还原后的趋势图跟真实图会有差异。","s":"7、开启采样","u":"/ckibana-docs/zh/zh/UserCase","h":"#7开启采样","p":244},{"i":256,"t":"可以监控现在用了哪些语法在查询，配合黑名单功能，可以有效缓解使用不当造成的clickhouse资源过高的问题。 利用监控指标，可以做一些图表，增加可观测性。 例如，每种查询的耗时情况：","s":"8、开启查询监控","u":"/ckibana-docs/zh/zh/UserCase","h":"#8开启查询监控","p":244},{"i":258,"t":"可以对时间进行round取值，这样可以很好的配合查询缓存来提升性能。 常见case，kibana里面一群用户在查询相同一个问题，此时查询条件高度一致，配置round可以很好的缓解ClickHouse的压力。","s":"9、设置round时间","u":"/ckibana-docs/zh/zh/UserCase","h":"#9设置round时间","p":244},{"i":260,"t":"当查询语句跟查询时间都一致时，后面的查询可以很好的命中es的缓存，缓解clickhouse的压力。 query.useCache: true Copy 可见命中cache耗时仅有2ms，没命中的情况下在80毫秒。此配置默认关闭，我们也建议开启此配置。 利用ES底层作为存储媒介，当然存储成本也会相应的增高，需要您去维护proxy-cache索引的生命周期定期清理冷数据。","s":"10、开启查询缓存","u":"/ckibana-docs/zh/zh/UserCase","h":"#10开启查询缓存","p":244}],"index":{"version":"2.3.9","fields":["t"],"fieldVectors":[["t/140",[0,3.06]],["t/142",[1,3.497,2,3.93,3,3.93,4,1.966,5,3.174,6,3.497,7,2.517,8,3.93,9,4.588,10,4.005,11,3.479,12,2.972,13,3.497,14,2.972,15,2.355,16,2.355,17,2.355,18,3.174,19,3.93,20,3.93,21,1.502]],["t/145",[5,1.027,14,1.944,16,1.282,21,0.817,22,1.72,23,4.552,24,1.272,25,3.642,26,3.23,27,2.62,28,3.535,29,2.037,30,1.272,31,3.533,32,1.769,33,0.674,34,0.461,35,1.484,36,1.727,37,1.272,38,0.486,39,1.131,40,1.484,41,1.484,42,1.484,43,1.131,44,1.727,45,2.477,46,3.92,47,3.488,48,2.138,49,1.944,50,2.138,51,2.138,52,3.92,53,2.138,54,2.138,55,3.244,56,1.944,57,2.235,58,2.138,59,1.204,60,2.138,61,2.138,62,2.138,63,1.772,64,2.138,65,3.244,66,3.244,67,3.244,68,2.138,69,2.138,70,3.244,71,3.244,72,3.244,73,3.244,74,2.138,75,2.767,76,1.469,77,2.138,78,2.138,79,2.138,80,1.727,81,2.138,82,1.011,83,2.138,84,2.138,85,2.138,86,2.138,87,2.138,88,1.057,89,2.138,90,2.684,91,1.131,92,1.272,93,1.484,94,1.131,95,1.272,96,1.272,97,1.027,98,1.027,99,0.943,100,1.131,101,0.814,102,1.484,103,1.272,104,1.484,105,1.484,106,2.138]],["t/149",[4,1.817,10,1.033,11,0.819,12,3.034,14,1.288,15,0.767,16,0.767,17,1.666,18,1.033,21,1.934,32,1.382,38,0.489,45,0.64,49,2.904,59,0.72,63,0.819,76,0.879,88,0.489,90,0.949,94,1.138,97,1.033,101,1.376,107,2.693,108,1.033,109,1.288,110,1.279,111,5.063,112,1.736,113,2.149,114,1.279,115,0.543,116,3.479,117,3.242,118,3.913,119,3.479,120,3.034,121,1.033,122,1.736,123,1.736,124,1.736,125,1.736,126,1.736,127,0.543,128,1.279,129,2.149,130,1.279,131,1.279,132,1.279,133,1.279,134,0.879,135,1.279,136,1.279,137,2.244,138,3.932,139,3.932,140,1.736,141,0.949,142,1.279,143,1.033,144,1.279,145,1.033,146,2.779,147,1.279,148,2.149,149,1.033,150,2.244,151,1.279,152,1.736,153,1.033,154,2.779,155,1.279,156,1.279,157,1.279,158,2.779,159,1.279,160,1.279,161,1.279,162,2.779,163,1.279,164,2.149,165,1.279,166,2.149,167,1.279,168,1.279,169,1.279,170,1.493,171,1.033,172,0.879,173,0.879,174,0.72,175,1.279,176,1.279,177,1.279,178,1.279,179,1.279,180,1.279]],["t/151",[4,2.282,29,2.567,32,2.306,34,1.655,80,3.683,114,4.561,181,4.031,182,4.561,183,2.418]],["t/153",[4,1.372,7,1.756,17,1.644,21,1.731,22,1.454,27,2.215,28,1.885,32,1.653,34,0.995,38,1.731,49,1.644,56,2.715,63,1.756,80,2.215,109,2.955,116,3.113,117,2.9,119,3.113,120,2.715,137,3.658,141,2.035,171,2.215,172,1.885,173,1.885,174,1.544,181,2.035,182,3.895,183,2.401,184,2.743,185,2.743,186,4.53,187,4.53,188,3.202,189,3.658,190,3.202,191,3.202,192,3.202,193,3.202,194,2.743,195,2.743,196,2.743,197,3.895,198,2.743]],["t/155",[0,3.06]],["t/157",[3,1.631,4,0.816,5,1.317,22,2.344,27,2.12,29,2.125,34,0.592,38,2,43,2.931,76,1.121,82,1.242,88,1.259,90,1.947,91,1.452,100,1.452,101,1.044,112,2.66,117,1.044,141,2.444,145,1.317,149,1.317,153,1.317,174,0.918,181,1.21,189,2.66,199,1.947,200,4.99,201,3.064,202,3.294,203,4.138,204,1.631,205,1.631,206,1.317,207,1.631,208,1.317,209,1.631,210,1.904,211,1.631,212,5.425,213,1.631,214,3.845,215,1.904,216,2.625,217,1.904,218,1.904,219,1.631,220,2.12,221,2.12,222,3.064,223,3.294,224,2.336,225,1.452,226,2.625,227,1.904,228,1.904,229,1.904,230,1.904,231,2.444,232,1.904,233,3.341,234,3.294,235,3.359,236,1.631,237,3.294,238,1.631,239,2.625,240,2.625,241,1.631,242,2.625,243,2.625,244,1.631,245,1.631,246,1.631,247,1.631,248,3.064,249,2.12,250,1.631,251,2.336,252,3.064,253,1.904,254,1.631,255,1.904,256,1.904,257,1.904,258,1.904,259,1.904,260,1.904,261,1.452,262,1.631,263,1.904,264,1.904,265,1.904,266,1.631,267,1.904,268,1.904]],["t/160",[1,3.667,4,2.062,8,2.972,21,1.136,29,1.673,32,1.261,33,1.576,34,1.717,45,2.062,56,1.781,82,1.949,99,2.205,115,1.261,173,2.042,174,1.673,249,2.4,261,2.645,269,4.811,270,3.469,271,4.811,272,5.109,273,5.366,274,3.328,275,3.469,276,3.469,277,2.972,278,3.469,279,2.645,280,2.972,281,2.972,282,2.972,283,3.469,284,2.972,285,2.972,286,2.972,287,3.469,288,2.972,289,2.645,290,3.469,291,2.972,292,3.469,293,2.645,294,2.972,295,2.972,296,3.469]],["t/162",[1,1.334,4,1.982,6,2.182,7,0.96,10,1.211,11,1.57,12,0.899,13,2.182,14,1.469,15,2.153,16,0.899,17,0.899,21,1.514,24,1.499,25,2.922,29,0.844,31,3.434,32,1.681,33,1.904,34,1.303,36,1.98,38,0.573,44,1.98,45,2.342,47,1.334,56,1.469,59,2.022,82,0.709,88,0.573,92,1.499,94,1.334,95,3.11,96,2.452,97,1.211,98,1.211,99,1.819,108,1.211,109,1.864,110,1.499,111,1.499,113,1.499,115,1.32,120,0.899,127,1.041,134,1.03,135,3.11,140,1.211,143,2.512,172,1.03,174,1.38,184,1.499,185,1.499,199,2.307,206,1.211,235,1.334,266,1.499,274,3.624,281,1.499,289,2.182,291,1.499,293,2.182,297,3.961,298,1.75,299,1.334,300,3.593,301,1.499,302,2.452,303,1.499,304,1.75,305,1.819,306,1.499,307,3.63,308,1.75,309,1.75,310,3.63,311,1.75,312,1.499,313,1.75,314,2.452,315,1.75,316,1.499,317,1.499,318,1.499,319,1.334,320,1.499,321,1.499,322,1.75,323,1.499,324,1.499,325,2.452,326,1.499,327,2.452,328,1.499,329,1.211,330,1.499,331,1.499,332,1.499,33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