The Banana project was forked from Kibana, and works with all kinds of time series (and non-time series) data stored in Apache Solr. It uses Kibana's powerful dashboard configuration capabilities, ports key panels to work with Solr, and provides significant additional capabilities, including new panels that leverage D3.js.
The goal is to create a rich and flexible UI, enabling users to rapidly develop end-to-end applications that leverage the power of Apache Solr. Data can be ingested into Solr through a variety of ways, including Logstash, Flume and other connectors.
Pull the repo from the release branch for production deployment; version x.y.z will be tagged as x.y.z
develop branch is used for active development and cutting edge features.
NOTES about the skipped version numbers: we want to synchronize the code base between the two branches: develop and fusion. Previously the develop branch was used by the community to contribute code, while the fusion branch was used for Lucidworks Fusion. There were some conflicting codes between the two branches, which now have been resolved in this version. That is the reason why we have to skip the version numbers, so that both branches are in sync. The only different between them now are config.js (which contain the app settings) and the dashboard default.json (which is the first sample dashboard shown after installing the app).
This release includes the following key new features and improvements:
- Unify the code base between develop branch and fusion branch.
- Fix multiple hosts issue #279
- Add countDistinct and cardinality for hits stats #269
- Add SUM aggregate function to Histogram panel #252
- Query panel / Add reset action to set filter to : #183
- Better map auto fit option / icon #242
- Fix JS minify (grunt task) error in RangeFacet panel.
- Fix bug in RangeFacet panel: sometimes auto-interval will return facet.range.gap = 0
- Fix all jshint errors.
- Improved Scatterplot panel, now we can add bubble and colors.
- Improved Hits panel, now we can include more than one metric like avg, min, max, in addition to count.
- Add sorting to dashboard drop-down collections picker
- Add pagination to Load Dashboard menu.
You can find all previous Release Notes on our wiki page.
If you created dashboards for Banana 1.0.0, you did not have a global filtering panel. In some cases, these filter values can be implicitly set to defaults that may lead to strange search results. We recommend updating your old dashboards by adding a filtering panel. A good way to do it visually is to put the filtering panel on its own row and hide it when it is not needed.
- A modern web browser. The latest version of Chrome and Firefox have been tested to work. Safari also works, except for the "Export to File" feature for saving dashboards. We recommend that you use Chrome or Firefox while building dashboards.
- Solr 5 or 4.4+ (Solr server's endpoint must be open, or a proxy configured to allow access to it).
- A webserver (optional).
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Run Solr at least once to create the webapp directory:
cd $SOLR_HOME/bin/ ./solr start -
Copy banana folder to $SOLR_HOME/server/solr-webapp/webapp/
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Run Solr at least once to create the webapp directories:
cd $SOLR_HOME/example java -jar start.jar -
Copy banana folder to $SOLR_HOME/example/solr-webapp/webapp/
NOTES: If your Solr server/port is different from localhost:8983, edit banana/src/config.js and banana/src/app/dashboards/default.json to enter the hostname and port that you are using. Remember that banana runs within the client browser, so provide a fully qualified domain name (FQDN), because the hostname and port number you provide should be resolvable from the client machines.
If you have not created the data collections and ingested data into Solr, you will see an error message saying "Collection not found at .." You can use any connector to get data into Solr. If you want to use Logstash, please go to the Solr Output Plug-in for Logstash Page for code, documentation and examples.
Lucidworks has packaged Solr, Logstash (with a Solr Output Plug-in), and Banana (the Solr port of Kibana), along with example collections and dashboards in order to rapidly enable proof-of-concepts and initial development/testing. See http://www.lucidworks.com/lucidworks-silk/.
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Pull the source code of Banana version that you want from the release branch in the repo; For example, version x.y.z will be tagged as
x.y.z. -
Run a command line "ant" from within the banana directory to build the war file:
cd $BANANA_REPO_HOME ant
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The war file will be called banana-<buildnumber>.war and will be located in $BANANA_REPO_HOME/build. Copy the war file and banana's jetty context file to Solr directories:
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For Solr 5:
cp $BANANA_REPO_HOME/build/banana-<buildnumber>.war $SOLR_HOME/server/webapps/banana.war cp $BANANA_REPO_HOME/jetty-contexts/banana-context.xml $SOLR_HOME/server/contexts/
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For Solr 4:
cp $BANANA_REPO_HOME/build/banana-<buildnumber>.war $SOLR_HOME/example/webapps/banana.war cp $BANANA_REPO_HOME/jetty-contexts/banana-context.xml $SOLR_HOME/example/contexts/
- Run Solr:
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For Solr 5:
cd $SOLR_HOME/bin/ ./solr start
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For Solr 4:
cd $SOLR_HOME/example/ java -jar start.jar
- Browse to http://localhost:8983/banana (or the FQDN of your Solr server).
Banana is an AngularJS app and can be run in any webserver that has access to Solr. You will need to enable CORS on the Solr instances that you query, or configure a proxy that makes requests to banana and Solr as same-origin. We typically recommend the latter approach.
If you want to save and load dashboards from Solr, create a collection using the configuration files provided in either the resources/banana-int-solr-5.0 (for Solr 5) directory or the resources/banana-int-solr-4.5 directory (for Solr 4.5). If you are using SolrCloud, you will need to upload the configuration into ZooKeeper and then create the collection using that configuration.
The Solr server configured in config.js will serve as the default node for each dashboard; you can configure each dashboard to point to a different Solr endpoint as long as your webserver and Solr put out the correct CORS headers. See the README file under the resources/enable-cors directory for a guide.
Q: How do I secure my Solr endpoint so that users do not have access to it?
A: The simplest solution is to use an Apache or
nginx reverse proxy (See for example https://groups.google.com/forum/#!topic/ajax-solr/pLtYfm83I98).
Q: Can I use banana for non-time series data?
A: Yes, from version 1.3 onwards, non-time series data are also supported.
- Lucidworks SILK: http://www.lucidworks.com/lucidworks-silk/
- Webinar on Lucidworks SILK: http://programs.lucidworks.com/SiLK-introduction_Register.html.
- Logstash: http://logstash.net/
- SILK Use Cases: https://github.com/LucidWorks/silkusecases. Provides example configuration files, schemas and dashboards required to build applications that use Solr and Banana.
- Get hold of maven-ant-tasks-X.X.X.jar and put it in this directory
- Execute ant -lib . deploy from this directory, this will sign the Maven artifacts (currently just .war) and send them to a Sonatype OSSRH staging repository. Details of how to set this up can be found here. N.B. Ensure that you have an release profile contained within ~/.m2/settings.xml
- Once you've read, and are happy with the staging repos, close it.
Banana uses the dashboard configuration capabilities of Kibana (from which it is forked) and ports key panels to work with Solr. Moreover, it provides many additional capabilities like heatmaps, range facets, panel specific filters, global parameters, and visualization of "group-by" style queries. We are continuing to add many new panels that go well beyond what is available in Kibana, helping users build complete applications that leverage the data stored in Apache Solr, HDFS and a variety of sources in the enterprise.
If you have any questions, please email [email protected]
Kibana is a trademark of Elasticsearch BV
Logstash is a trademark of Elasticsearch BV