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fixing typos for metrics docs #319

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May 8, 2024
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fixing typos for metrics docs #319

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2 changes: 1 addition & 1 deletion docs/guides/code/metrics/04_internal/config/tremor/config/metrics.troy
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Expand Up @@ -139,7 +139,7 @@ flow
# Create our pipeline
create pipeline metrics from metrics;

# Connect the metrices to the pipeline
# Connect the metrics to the pipeline
connect /connector/metrics to /pipeline/metrics;
# Connect the udp server to the pipeline
connect /connector/upd_in to /pipeline/metrics;
Expand Down
2 changes: 1 addition & 1 deletion docs/guides/code/metrics/05_tdengine/config/tremor/config/metrics.troy
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Expand Up @@ -138,7 +138,7 @@ flow
# Create our pipeline
create pipeline metrics from metrics;

# Connect the metrices to the pipeline
# Connect the metrics to the pipeline
connect /connector/metrics to /pipeline/metrics;
# Connect the udp server to the pipeline
connect /connector/upd_in to /pipeline/metrics;
Expand Down
2 changes: 1 addition & 1 deletion docs/guides/code/metrics/06_questdb/config/tremor/config/metrics.troy
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Expand Up @@ -157,7 +157,7 @@ flow
create connector console from console;
create pipeline debug from pipelines::passthrough;

# Connect the metrices to the pipeline
# Connect the metrics to the pipeline
connect /connector/metrics to /pipeline/metrics;
# Connect the udp server to the pipeline
connect /connector/upd_in to /pipeline/metrics;
Expand Down
18 changes: 9 additions & 9 deletions docs/guides/metrics.md
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Expand Up @@ -23,7 +23,7 @@ This guide introduces the following new concepts.

* codecs
* Post- and Preprocessors
* Connector configuraiton
* Connector configuration
* pipeline operators
* streams
* aggregation
Expand Down Expand Up @@ -188,7 +188,7 @@ end;
deploy flow metrics;
```

Now with taht set you can grab [the entire config from github](__GIT__/../code/metrics/01_basic) and start it with `docker-compose up`.
Now with that set you can grab [the entire config from github](__GIT__/../code/metrics/01_basic) and start it with `docker-compose up`.

You can find the chronograf UI at [`http://localhost:8888`](http://localhost:8888).

Expand Down Expand Up @@ -289,7 +289,7 @@ deploy flow metrics;

### Running

Now with taht set you can grab [the entire config from github](__GIT__/../code/metrics/02_batching) and start it with `docker-compose up`.
Now with that set you can grab [the entire config from github](__GIT__/../code/metrics/02_batching) and start it with `docker-compose up`.

You can find the chronograf UI at [`http://localhost:8888`](http://localhost:8888).

Expand Down Expand Up @@ -375,7 +375,7 @@ To aggregate over a time range, we use time-based tumbling windows. We can defin

Once we have defined the windows, we can now use them to aggregate our data. We do this in a new select statement. After the `from` section, we have a square bracket and the window names. This syntax is what we call tilt frames. They're chained windows that will emit based on conditions.

We use the [`aggr::stats::hdr`](../reference/stdlib/aggr/stats#hdrnumber-array) fimctopm that creates a histogram from the incoming data and outputs the given set of percentiles.
We use the [`aggr::stats::hdr`](../reference/stdlib/aggr/stats#hdrnumber-array) function that creates a histogram from the incoming data and outputs the given set of percentiles.

In addition we use the [`aggr::win::first`](../reference/stdlib/aggr/win#first) to get the first timestamp.

Expand Down Expand Up @@ -431,7 +431,7 @@ into batch;

### Running

Now with taht set you can grab [the entire config from github](__GIT__/../code/metrics/03_aggregation) and start it with `docker-compose up`.
Now with that set you can grab [the entire config from github](__GIT__/../code/metrics/03_aggregation) and start it with `docker-compose up`.

You can find the chronograf UI at [`http://localhost:8888`](http://localhost:8888).

Expand Down Expand Up @@ -509,13 +509,13 @@ flow
define connector metrics from metrics;
# Create the internal metrics collector
create connector metrics;
# Connect the metrices to the pipeline
# Connect the metrics to the pipeline
connect /connector/metrics to /pipeline/metrics;

#...
```

Now with taht set you can grab [the entire config from github](__GIT__/../code/metrics/04_interal) and start it with `docker-compose up`.
Now with that set you can grab [the entire config from github](__GIT__/../code/metrics/04_interal) and start it with `docker-compose up`.

You can find the chronograf UI at [`http://localhost:8888`](http://localhost:8888).

Expand All @@ -528,7 +528,7 @@ While this example is written using InfluxDB as a backend, it works equally with

TDengine can quickly replace influx. The only difference is that we need to change the `url` in the `http_client`

A high-level visaulization of TDengine replacing InfluxDB via the Influx API:
A high-level visualization of TDengine replacing InfluxDB via the Influx API:

```mermaid
graph LR
Expand Down Expand Up @@ -570,7 +570,7 @@ QuestDB can also replace influx. There are a few differences however as Quest ha
constraints on column names and does not support the HTTP protocol for Influx Line
Protocol. We can choose UDP based or TCP based distribution for QuestDB.

A high-level visaulization of QuestDB replacing InfluxDB via the Influx API:
A high-level visualization of QuestDB replacing InfluxDB via the Influx API:

```mermaid
graph LR
Expand Down
2 changes: 1 addition & 1 deletion ...ioned_docs/version-0.12/guides/code/metrics/04_internal/config/tremor/config/metrics.troy
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Expand Up @@ -139,7 +139,7 @@ flow
# Create our pipeline
create pipeline metrics from metrics;

# Connect the metrices to the pipeline
# Connect the metrics to the pipeline
connect /connector/metrics to /pipeline/metrics;
# Connect the udp server to the pipeline
connect /connector/upd_in to /pipeline/metrics;
Expand Down
2 changes: 1 addition & 1 deletion ...ioned_docs/version-0.12/guides/code/metrics/05_tdengine/config/tremor/config/metrics.troy
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -138,7 +138,7 @@ flow
# Create our pipeline
create pipeline metrics from metrics;

# Connect the metrices to the pipeline
# Connect the metrics to the pipeline
connect /connector/metrics to /pipeline/metrics;
# Connect the udp server to the pipeline
connect /connector/upd_in to /pipeline/metrics;
Expand Down
2 changes: 1 addition & 1 deletion versioned_docs/version-0.12/guides/code/metrics/06_questdb/config/tremor/config/metrics.troy
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Original file line number Diff line number Diff line change
Expand Up @@ -157,7 +157,7 @@ flow
create connector console from console;
create pipeline debug from pipelines::passthrough;

# Connect the metrices to the pipeline
# Connect the metrics to the pipeline
connect /connector/metrics to /pipeline/metrics;
# Connect the udp server to the pipeline
connect /connector/upd_in to /pipeline/metrics;
Expand Down
18 changes: 9 additions & 9 deletions versioned_docs/version-0.12/guides/metrics.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@ This guide introduces the following new concepts.

* codecs
* Post- and Preprocessors
* Connector configuraiton
* Connector configuration
* pipeline operators
* streams
* aggregation
Expand Down Expand Up @@ -188,7 +188,7 @@ end;
deploy flow metrics;
```

Now with taht set you can grab [the entire config from github](__GIT__/../code/metrics/01_basic) and start it with `docker-compose up`.
Now with that set you can grab [the entire config from github](__GIT__/../code/metrics/01_basic) and start it with `docker-compose up`.

You can find the chronograf UI at [`http://localhost:8888`](http://localhost:8888).

Expand Down Expand Up @@ -289,7 +289,7 @@ deploy flow metrics;

### Running

Now with taht set you can grab [the entire config from github](__GIT__/../code/metrics/02_batching) and start it with `docker-compose up`.
Now with that set you can grab [the entire config from github](__GIT__/../code/metrics/02_batching) and start it with `docker-compose up`.

You can find the chronograf UI at [`http://localhost:8888`](http://localhost:8888).

Expand Down Expand Up @@ -375,7 +375,7 @@ To aggregate over a time range, we use time-based tumbling windows. We can defin

Once we have defined the windows, we can now use them to aggregate our data. We do this in a new select statement. After the `from` section, we have a square bracket and the window names. This syntax is what we call tilt frames. They're chained windows that will emit based on conditions.

We use the [`aggr::stats::hdr`](../reference/stdlib/aggr/stats#hdrnumber-array) fimctopm that creates a histogram from the incoming data and outputs the given set of percentiles.
We use the [`aggr::stats::hdr`](../reference/stdlib/aggr/stats#hdrnumber-array) function that creates a histogram from the incoming data and outputs the given set of percentiles.

In addition we use the [`aggr::win::first`](../reference/stdlib/aggr/win#first) to get the first timestamp.

Expand Down Expand Up @@ -431,7 +431,7 @@ into batch;

### Running

Now with taht set you can grab [the entire config from github](__GIT__/../code/metrics/03_aggregation) and start it with `docker-compose up`.
Now with that set you can grab [the entire config from github](__GIT__/../code/metrics/03_aggregation) and start it with `docker-compose up`.

You can find the chronograf UI at [`http://localhost:8888`](http://localhost:8888).

Expand Down Expand Up @@ -509,13 +509,13 @@ flow
define connector metrics from metrics;
# Create the internal metrics collector
create connector metrics;
# Connect the metrices to the pipeline
# Connect the metrics to the pipeline
connect /connector/metrics to /pipeline/metrics;

#...
```

Now with taht set you can grab [the entire config from github](__GIT__/../code/metrics/04_interal) and start it with `docker-compose up`.
Now with that set you can grab [the entire config from github](__GIT__/../code/metrics/04_interal) and start it with `docker-compose up`.

You can find the chronograf UI at [`http://localhost:8888`](http://localhost:8888).

Expand All @@ -528,7 +528,7 @@ While this example is written using InfluxDB as a backend, it works equally with

TDengine can quickly replace influx. The only difference is that we need to change the `url` in the `http_client`

A high-level visaulization of TDengine replacing InfluxDB via the Influx API:
A high-level visualization of TDengine replacing InfluxDB via the Influx API:

```mermaid
graph LR
Expand Down Expand Up @@ -570,7 +570,7 @@ QuestDB can also replace influx. There are a few differences however as Quest ha
constraints on column names and does not support the HTTP protocol for Influx Line
Protocol. We can choose UDP based or TCP based distribution for QuestDB.

A high-level visaulization of QuestDB replacing InfluxDB via the Influx API:
A high-level visualization of QuestDB replacing InfluxDB via the Influx API:

```mermaid
graph LR
Expand Down