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Merge pull request #250 from influxdata/alpha-10 

Alpha 10
pull/251/head
Scott Anderson 2019-05-30 13:20:35 -06:00 committed by GitHub
parent 677d1584b5 c78f5648f6
commit dd3828c039
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2
CONTRIBUTING.md
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@ -293,7 +293,7 @@ The shortcode structure is the same as above, but the shortcode names are differ
{{% code-tab-content %}}
```js
data = from(bucket: "telegraf/autogen")
data = from(bucket: "example-bucket")
|> range(start: -15m)
|> filter(fn: (r) =>
r._measurement == "mem" and

14
content/v2.0/example.md
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@ -34,7 +34,7 @@ This is a paragraph. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nu
{{% /code-tabs %}}
{{% code-tab-content %}}
```js
data = from(bucket: "telegraf/autogen")
data = from(bucket: "example-bucket")
|> range(start: -15m)
|> filter(fn: (r) =>
r._measurement == "mem" and
@ -154,7 +154,7 @@ This is **bold**. This is _italic_.
```js
// This is a code block
cpu = from(bucket:"telegraf/autogen")
cpu = from(bucket:"example-bucket")
|> range(start:-30m)
|> filter(fn:(r) => r._measurement == "cpu")
|> filter(fn:(r) => r._measurement == "cpu") |> filter(fn:(r) => r._measurement == "cpu") |> filter(fn:(r) => r._measurement == "cpu")
@ -170,7 +170,7 @@ avg_cpu
###### Here's a codeblock with a title
```js
// This is a code block
cpu = from(bucket:"telegraf/autogen")
cpu = from(bucket:"example-bucket")
|> range(start:-30m)
|> filter(fn:(r) => r._measurement == "cpu")
@ -305,7 +305,7 @@ This is **bold**. This is _italic_.
```js
// This is a code block inside of a blockquote
cpu = from(bucket:"telegraf/autogen")
cpu = from(bucket:"example-bucket")
|> range(start:-30m)
|> filter(fn:(r) => r._measurement == "cpu" and r._field == "someReallyLongFieldName")
```
@ -418,7 +418,7 @@ This is **bold**. This is _italic_.
```js
// This is a code block inside of a blockquote
cpu = from(bucket:"telegraf/autogen")
cpu = from(bucket:"example-bucket")
|> range(start:-30m)
|> filter(fn:(r) => r._measurement == "cpu" and r._field == "someReallyLongFieldName")
```
@ -526,7 +526,7 @@ This is **bold**. This is _italic_.
```js
// This is a code block inside of a blockquote
cpu = from(bucket:"telegraf/autogen")
cpu = from(bucket:"example-bucket")
|> range(start:-30m)
|> filter(fn:(r) => r._measurement == "cpu" and r._field == "someReallyLongFieldName")
```
@ -565,7 +565,7 @@ This is a paragraph. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nu
{{% code-tab-content %}}
```js
data = from(bucket: "telegraf/autogen")
data = from(bucket: "example-bucket")
|> range(start: -15m)
|> filter(fn: (r) =>
r._measurement == "mem" and

18
content/v2.0/get-started.md
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@ -27,7 +27,7 @@ This article describes how to get started with InfluxDB OSS. To get started with
### Download and install InfluxDB v2.0 alpha
Download InfluxDB v2.0 alpha for macOS.
<a class="btn download" href="https://dl.influxdata.com/influxdb/releases/influxdb_2.0.0-alpha.9_darwin_amd64.tar.gz" download>InfluxDB v2.0 alpha (macOS)</a>
<a class="btn download" href="https://dl.influxdata.com/influxdb/releases/influxdb_2.0.0-alpha.10_darwin_amd64.tar.gz" download>InfluxDB v2.0 alpha (macOS)</a>
### Unpackage the InfluxDB binaries
Unpackage the downloaded archive.
@ -36,7 +36,11 @@ _**Note:** The following commands are examples. Adjust the file paths to your ow
```sh
# Unpackage contents to the current working directory
<<<<<<< HEAD
gunzip -c ~/Downloads/influxdb_2.0.0-alpha.10_darwin_amd64.tar.gz | tar xopf -
=======
gunzip -c ~/Downloads/influxdb_2.0.0-alpha.9_darwin_amd64.tar.gz | tar xopf -
>>>>>>> master
```
If you choose, you can place `influx` and `influxd` in your `$PATH`.
@ -44,7 +48,11 @@ You can also prefix the executables with `./` to run then in place.
```sh
# (Optional) Copy the influx and influxd binary to your $PATH
<<<<<<< HEAD
sudo cp influxdb_2.0.0-alpha.10_darwin_amd64/{influx,influxd} /usr/local/bin/
=======
sudo cp influxdb_2.0.0-alpha.9_darwin_amd64/{influx,influxd} /usr/local/bin/
>>>>>>> master
```
{{% note %}}
@ -90,8 +98,8 @@ influxd --reporting-disabled
### Download and install InfluxDB v2.0 alpha
Download the InfluxDB v2.0 alpha package appropriate for your chipset.
<a class="btn download" href="https://dl.influxdata.com/influxdb/releases/influxdb_2.0.0-alpha.9_linux_amd64.tar.gz" download >InfluxDB v2.0 alpha (amd64)</a>
<a class="btn download" href="https://dl.influxdata.com/influxdb/releases/influxdb_2.0.0-alpha.9_linux_arm64.tar.gz" download >InfluxDB v2.0 alpha (arm)</a>
<a class="btn download" href="https://dl.influxdata.com/influxdb/releases/influxdb_2.0.0-alpha.10_linux_amd64.tar.gz" download >InfluxDB v2.0 alpha (amd64)</a>
<a class="btn download" href="https://dl.influxdata.com/influxdb/releases/influxdb_2.0.0-alpha.10_linux_arm64.tar.gz" download >InfluxDB v2.0 alpha (arm)</a>
### Place the executables in your $PATH
Unpackage the downloaded archive and place the `influx` and `influxd` executables in your system `$PATH`.
@ -100,10 +108,10 @@ _**Note:** The following commands are examples. Adjust the file names, paths, an
```sh
# Unpackage contents to the current working directory
tar xvzf path/to/influxdb_2.0.0-alpha.9_linux_amd64.tar.gz
tar xvzf path/to/influxdb_2.0.0-alpha.10_linux_amd64.tar.gz
# Copy the influx and influxd binary to your $PATH
sudo cp influxdb_2.0.0-alpha.9_linux_amd64/{influx,influxd} /usr/local/bin/
sudo cp influxdb_2.0.0-alpha.10_linux_amd64/{influx,influxd} /usr/local/bin/
```
{{% note %}}

2
content/v2.0/query-data/guides/conditional-logic.md
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@ -155,7 +155,7 @@ data = from(bucket: "example-bucket")
```js
threshold = 65.0
data = from(bucket: "example-bucket")
from(bucket: "example-bucket")
|> range(start: -1h)
|> filter(fn: (r) => r._measurement == "mem" and r._field == "used_percent" )
// Aggregate data into 5 minute windows using a custom reduce() function

6
content/v2.0/query-data/guides/custom-functions/_index.md
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@ -80,7 +80,7 @@ multByX = (tables=<-, x) =>
|> map(fn: (r) => r._value * x)
// Function usage
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -1m)
|> filter(fn: (r) =>
r._measurement == "mem" and
@ -118,7 +118,7 @@ getWinner = (tables=<-, noSarcasm:true) =>
// Function usage
// Get the winner
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -1m)
|> filter(fn: (r) =>
r._measurement == "mem" and
@ -127,7 +127,7 @@ from(bucket: "telegraf/autogen")
|> getWinner()
// Get the "winner"
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -1m)
|> filter(fn: (r) =>
r._measurement == "mem" and

4
content/v2.0/query-data/guides/group-data.md
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@ -54,7 +54,7 @@ Possible values include `by` and `except`.
## Example grouping operations
To illustrate how grouping works, define a `dataSet` variable that queries System
CPU usage from the `telegraf/autogen` bucket.
CPU usage from the `example-bucket` bucket.
Filter the `cpu` tag so it only returns results for each numbered CPU core.
### Data set
@ -62,7 +62,7 @@ CPU used by system operations for all numbered CPU cores.
It uses a regular expression to filter only numbered cores.
```js
dataSet = from(bucket: "telegraf/autogen")
dataSet = from(bucket: "example-bucket")
|> range(start: -2m)
|> filter(fn: (r) =>
r._field == "usage_system" and

6
content/v2.0/query-data/guides/histograms.md
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@ -22,7 +22,7 @@ In the histogram output, a column is added (`le`) that represents the upper boun
Bin counts are cumulative.
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start: -5m)
|> filter(fn: (r) =>
r._measurement == "mem" and
@ -62,7 +62,7 @@ logarithmicBins(start: 1.0, factor: 2.0, count: 10, infinty: true)
### Generating a histogram with linear bins
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start: -5m)
|> filter(fn: (r) =>
r._measurement == "mem" and
@ -107,7 +107,7 @@ Table: keys: [_start, _stop, _field, _measurement, host]
### Generating a histogram with logarithmic bins
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start: -5m)
|> filter(fn: (r) =>
r._measurement == "mem" and

4
content/v2.0/query-data/guides/join.md
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@ -31,7 +31,7 @@ This returns the amount of memory (in bytes) used.
###### memUsed stream definition
```js
memUsed = from(bucket: "telegraf/autogen")
memUsed = from(bucket: "example-bucket")
|> range(start: -5m)
|> filter(fn: (r) =>
r._measurement == "mem" and
@ -85,7 +85,7 @@ This returns the number of running processes.
###### procTotal stream definition
```js
procTotal = from(bucket: "telegraf/autogen")
procTotal = from(bucket: "example-bucket")
|> range(start: -5m)
|> filter(fn: (r) =>
r._measurement == "processes" and

6
content/v2.0/query-data/guides/regular-expressions.md
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@ -43,7 +43,7 @@ The following example filters records by the `cpu` tag.
It only keeps records for which the `cpu` is either `cpu0`, `cpu1`, or `cpu2`.
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -15m)
|> filter(fn: (r) =>
r._measurement == "cpu" and
@ -56,7 +56,7 @@ from(bucket: "telegraf/autogen")
The following example excludes records that do not have `_percent` in a field key.
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -15m)
|> filter(fn: (r) =>
r._measurement == "mem" and
@ -68,7 +68,7 @@ from(bucket: "telegraf/autogen")
The following example drops columns whose names do not being with `_`.
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -15m)
|> filter(fn: (r) => r._measurement == "mem")
|> drop(fn: (column) => column !~ /_.*/)

6
content/v2.0/query-data/guides/sort-limit.md
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@ -17,7 +17,7 @@ orders the records within each table.
The following example orders system uptime first by region, then host, then value.
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-12h)
|> filter(fn: (r) =>
r._measurement == "system" and
@ -31,7 +31,7 @@ limits the number of records in output tables to a fixed number, `n`.
The following example shows up to 10 records from the past hour.
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-1h)
|> limit(n:10)
```
@ -41,7 +41,7 @@ The example below returns the 10 top system uptime values sorted first by
region, then host, then value.
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-12h)
|> filter(fn: (r) =>
r._measurement == "system" and

2
content/v2.0/query-data/guides/window-aggregate.md
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@ -28,7 +28,7 @@ For the purposes of this guide, define a variable that represents your base data
The following example queries the memory usage of the host machine.
```js
dataSet = from(bucket: "telegraf/autogen")
dataSet = from(bucket: "example-bucket")
|> range(start: -5m)
|> filter(fn: (r) =>
r._measurement == "mem" and

28
content/v2.0/reference/cli/influxd/_index.md
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@ -28,16 +28,18 @@ influxd [command]
## Flags
| Flag | Description | Input type |
| :--------------------- | :------------------------------------------------------------------------------------- | :--------: |
| `--assets-path` | Override default assets by serving from a specific directory (developer mode) | string |
| `--bolt-path` | Path to boltdb database (default `~/.influxdbv2/influxd.bolt`) | string |
| `--e2e-testing` | Add /debug/flush endpoint to clear stores; used for end-to-end tests (default `false`) | boolean |
| `--engine-path` | Path to persistent engine files (default `~/.influxdbv2/engine`) | string |
| `-h`, `--help` | Help for `influxd` | |
| `--http-bind-address` | Bind address for the REST HTTP API (default `:9999`) | string |
| `--log-level` | Supported log levels are debug, info, and error (default `info`) | string |
| `--reporting-disabled` | Disable sending telemetry data to https://telemetry.influxdata.com | |
| `--secret-store` | Data store for secrets (bolt or vault) (default `bolt`) | string |
| `--store` | Data store for REST resources (bolt or memory) (default `bolt`) | string |
| `--tracing-type` | Supported tracing types (log or jaeger) | string |
| Flag | Description | Input type |
| :--------------------- | :------------------------------------------------------------------------------------- | :--------: |
| `--assets-path` | Override default assets by serving from a specific directory (developer mode) | string |
| `--bolt-path` | Path to boltdb database (default `~/.influxdbv2/influxd.bolt`) | string |
| `--e2e-testing` | Add /debug/flush endpoint to clear stores; used for end-to-end tests (default `false`) | |
| `--engine-path` | Path to persistent engine files (default `~/.influxdbv2/engine`) | string |
| `-h`, `--help` | Help for `influxd` | |
| `--http-bind-address` | Bind address for the REST HTTP API (default `:9999`) | string |
| `--log-level` | Supported log levels are debug, info, and error (default `info`) | string |
| `--reporting-disabled` | Disable sending telemetry data to **https:<nolink>//telemetry.influxdata.com** | |
| `--secret-store` | Data store for secrets (bolt or vault) (default `bolt`) | string |
| `--session-length` | TTL in minutes for newly created sessions (default `60`) | integer |
| `--session-renew-disabled` | Disables automatically extending session TTL on request | |
| `--store` | Data store for REST resources (bolt or memory) (default `bolt`) | string |
| `--tracing-type` | Supported tracing types (log or jaeger) | string |

28
content/v2.0/reference/cli/influxd/run.md
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@ -28,16 +28,18 @@ influxd run
## Flags
| Flag | Description | Input type |
| :--------------------- | :------------------------------------------------------------------------------------- | :--------: |
| `--assets-path` | Override default assets by serving from a specific directory (developer mode) | string |
| `--bolt-path` | Path to boltdb database (default `~/.influxdbv2/influxd.bolt`) | string |
| `--e2e-testing` | Add /debug/flush endpoint to clear stores; used for end-to-end tests (default `false`) | boolean |
| `--engine-path` | Path to persistent engine files (default `~/.influxdbv2/engine`) | string |
| `-h`, `--help` | Help for `run` | |
| `--http-bind-address` | Bind address for the REST HTTP API (default `:9999`) | string |
| `--log-level` | Supported log levels are debug, info, and error (default `info`) | string |
| `--reporting-disabled` | Disable sending telemetry data to https://telemetry.influxdata.com | |
| `--secret-store` | Data store for secrets (bolt or vault) (default `bolt`) | string |
| `--store` | Data store for REST resources (bolt or memory) (default `bolt`) | string |
| `--tracing-type` | Supported tracing types (log or jaeger) | string |
| Flag | Description | Input type |
| :--------------------- | :------------------------------------------------------------------------------------- | :--------: |
| `--assets-path` | Override default assets by serving from a specific directory (developer mode) | string |
| `--bolt-path` | Path to boltdb database (default `~/.influxdbv2/influxd.bolt`) | string |
| `--e2e-testing` | Add /debug/flush endpoint to clear stores; used for end-to-end tests (default `false`) | |
| `--engine-path` | Path to persistent engine files (default `~/.influxdbv2/engine`) | string |
| `-h`, `--help` | Help for `influxd` | |
| `--http-bind-address` | Bind address for the REST HTTP API (default `:9999`) | string |
| `--log-level` | Supported log levels are debug, info, and error (default `info`) | string |
| `--reporting-disabled` | Disable sending telemetry data to **https:<nolink>//telemetry.influxdata.com** | |
| `--secret-store` | Data store for secrets (bolt or vault) (default `bolt`) | string |
| `--session-length` | TTL in minutes for newly created sessions (default `60`) | integer |
| `--session-renew-disabled` | Disables automatically extending session TTL on request | |
| `--store` | Data store for REST resources (bolt or memory) (default `bolt`) | string |
| `--tracing-type` | Supported tracing types (log or jaeger) | string |

27
content/v2.0/reference/config-options.md
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@ -20,6 +20,8 @@ To configure InfluxDB, use the following configuration options when starting the
- [--log-level](#log-level)
- [--reporting-disabled](#reporting-disabled)
- [--secret-store](#secret-store)
- [--session-length](#session-length)
- [--session-renew-disabled](#session-renew-disabled)
- [--store](#store)
- [--tracing-type](#tracing-type)
@ -33,6 +35,8 @@ influxd \
--log-level=info \
--reporting-disabled \
--secret-store=bolt \
--session-length=60 \
--session-renew-disabled \
--store=bolt \
--tracing-type=log
```
@ -135,6 +139,29 @@ influxd --secret-store=bolt
---
## --session-length
Specifies the Time to Live (TTL) **in minutes** for newly created user sessions.
**Default:** `60`
```sh
influxd --session-length=60
```
---
## --session-renew-disabled
Disables automatically extending a user's session TTL on each request.
By default, every request sets the session's expiration time to five minutes from now.
When disabled, sessions expire after the specified [session length](#session-length)
and the user is redirected to the login page, even if recently active.
```sh
influxd --session-renew-disabled
```
---
## --store
Specifies the data store for REST resources.

4
content/v2.0/reference/flux/functions/built-in/inputs/from.md
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@ -19,7 +19,7 @@ _**Function type:** Input_
_**Output data type:** Object_
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
// OR
@ -40,7 +40,7 @@ _**Data type:** String_
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
```
```js
from(bucketID: "0261d8287f4d6000")

8
content/v2.0/reference/flux/functions/built-in/outputs/to.md
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@ -18,8 +18,6 @@ _**Function type:** Output_
to(
bucket: "my-bucket",
org: "my-org",
host: "http://example.com:8086",
token: "xxxxxx",
timeColumn: "_time",
tagColumns: ["tag1", "tag2", "tag3"],
fieldFn: (r) => ({ [r._field]: r._value })
@ -30,8 +28,6 @@ to(
to(
bucketID: "1234567890",
orgID: "0987654321",
host: "http://example.com:8086",
token: "xxxxxx",
timeColumn: "_time",
tagColumns: ["tag1", "tag2", "tag3"],
fieldFn: (r) => ({ [r._field]: r._value })
@ -83,7 +79,7 @@ Mutually exclusive with `org`.
_**Data type:** String_
### host
<!-- ### host
The remote InfluxDB host to which to write.
_If specified, a `token` is required._
@ -93,7 +89,7 @@ _**Data type:** String_
The authorization token to use when writing to a remote host.
_Required when a `host` is specified._
_**Data type:** String_
_**Data type:** String_ -->
### timeColumn
The time column of the output.

2
content/v2.0/reference/flux/functions/built-in/outputs/yield.md
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@ -36,7 +36,7 @@ _**Data type:** String_
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> yield(name: "1")
```

6
content/v2.0/reference/flux/functions/built-in/transformations/aggregates/aggregatewindow.md
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@ -74,7 +74,7 @@ _**Data type:** Boolean_
###### Using an aggregate function with default parameters
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: 1h)
|> filter(fn: (r) =>
r._measurement == "mem" and
@ -84,13 +84,13 @@ from(bucket: "telegraf/autogen")
fn: mean
)
```
####### Specifying parameters of the aggregate function
###### Specifying parameters of the aggregate function
To use `aggregateWindow()` aggregate functions that don't provide defaults for required parameters,
for the `fn` parameter, define an anonymous function with `columns` and `tables` parameters
that pipe-forwards tables into the aggregate function with all required parameters defined:
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: 1h)
|> filter(fn: (r) =>
r._measurement == "mem" and

4
content/v2.0/reference/flux/functions/built-in/transformations/aggregates/count.md
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@ -30,13 +30,13 @@ _**Data type: String**_
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> count()
```
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> count(column: "_value")
```

4
content/v2.0/reference/flux/functions/built-in/transformations/aggregates/cov.md
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@ -46,13 +46,13 @@ _**Data type:** Boolean_
## Examples
```js
table1 = from(bucket: "telegraf/autogen")
table1 = from(bucket: "example-bucket")
|> range(start: -15m)
|> filter(fn: (r) =>
r._measurement == "measurement_1"
)
table2 = from(bucket: "telegraf/autogen")
table2 = from(bucket: "example-bucket")
|> range(start: -15m)
|> filter(fn: (r) =>
r._measurement == "measurement_2"

2
content/v2.0/reference/flux/functions/built-in/transformations/aggregates/covariance.md
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@ -38,7 +38,7 @@ _**Data type:** String_
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start:-5m)
|> covariance(columns: ["x", "y"])
```

2
content/v2.0/reference/flux/functions/built-in/transformations/aggregates/derivative.md
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@ -54,7 +54,7 @@ _**Data type:** String_
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> derivative(unit: 1s, nonNegative: true)
```

4
content/v2.0/reference/flux/functions/built-in/transformations/aggregates/difference.md
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@ -45,12 +45,12 @@ _**Data type:** String_
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> difference()
```
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> difference(nonNegative: true)
```

2
content/v2.0/reference/flux/functions/built-in/transformations/aggregates/increase.md
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@ -33,7 +33,7 @@ _**Data type:** Strings_
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -24h)
|> filter(fn: (r) =>
r._measurement == "system" and

2
content/v2.0/reference/flux/functions/built-in/transformations/aggregates/integral.md
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@ -35,7 +35,7 @@ _**Data type:** String_
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> filter(fn: (r) =>
r._measurement == "cpu" and

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@ -29,7 +29,7 @@ _**Data type:** String_
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> filter(fn: (r) =>
r._measurement == "mem" and
r._field == "used_percent")

19
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@ -21,7 +21,11 @@ _**Output data type:** Object_
```js
median(method: "estimate_tdigest", compression: 0.0)
median(
column: "_value",
method: "estimate_tdigest",
compression: 0.0
)
```
When using the `estimate_tdigest` or `exact_mean` methods, it outputs non-null
@ -39,8 +43,15 @@ You can convert your value column to a float column using the [`toFloat()` funct
## Parameters
### column
The column to use to compute the median.
Defaults to `"_value"`.
_**Data type:** String_
### method
Defines the method of computation. Defaults to `"estimate_tdigest"`.
Defines the method of computation.
Defaults to `"estimate_tdigest"`.
_**Data type:** String_
@ -67,7 +78,7 @@ _**Data type:** Float_
###### Median as an aggregate
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> filter(fn: (r) =>
r._measurement == "mem" and
r._field == "used_percent"
@ -79,7 +90,7 @@ from(bucket: "telegraf/autogen")
###### Median as a selector
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> filter(fn: (r) =>
r._measurement == "mem" and
r._field == "used_percent"

4
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@ -39,14 +39,14 @@ _**Data type:** Array of strings_
## Examples
```js
stream1 = from(bucket:"telegraf/autogen")
stream1 = from(bucket:"example-bucket")
|> range(start:-15m)
|> filter(fn: (r) =>
r._measurement == "mem" and
r._field == "used"
)
stream2 = from(bucket:"telegraf/autogen")
stream2 = from(bucket:"example-bucket")
|> range(start:-15m)
|> filter(fn: (r) => r
._measurement == "mem" and

4
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@ -74,7 +74,7 @@ _**Data type:** Float_
###### Quantile as an aggregate
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> filter(fn: (r) =>
r._measurement == "cpu" and
@ -88,7 +88,7 @@ from(bucket: "telegraf/autogen")
###### Quantile as a selector
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> filter(fn: (r) =>
r._measurement == "cpu" and

2
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@ -29,7 +29,7 @@ _**Data type:** String_
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> filter(fn: (r) =>
r._measurement == "cpu" and

2
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@ -33,7 +33,7 @@ _**Data type:** String_
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> filter(fn: (r) =>
r._measurement == "cpu" and

2
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@ -46,7 +46,7 @@ Calculates the population standard deviation where the data is considered a popu
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> filter(fn: (r) =>
r._measurement == "cpu" and

2
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@ -29,7 +29,7 @@ _**Data type:** String_
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> filter(fn: (r) =>
r._measurement == "cpu" and

4
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@ -35,14 +35,14 @@ _**Data type:** String_
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -30m)
|> columns(column: "labels")
```
##### Get every possible column label in a single table
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -30m)
|> columns()
|> keep(columns: ["_value"])

2
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@ -30,7 +30,7 @@ _**Data type:** Array of strings_
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> filter(fn: (r) =>
r._measurement == "disk" and

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@ -45,14 +45,14 @@ _**Data type:** Function_
##### Drop a list of columns
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> drop(columns: ["host", "_measurement"])
```
##### Drop columns matching a predicate
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> drop(fn: (column) => column =~ /usage*/)
```

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@ -39,7 +39,7 @@ If the `as` column already exists, this function will overwrite the existing val
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start:-5m)
|> filter(fn: (r) => r._measurement == "cpu")
|> duplicate(column: "host", as: "server")

4
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@ -50,7 +50,7 @@ _**Data type:** Boolean_
##### Fill null values with a specified non-null value
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -1h)
|> filter(fn: (r) =>
r._measurement == "cpu" and
@ -61,7 +61,7 @@ from(bucket: "telegraf/autogen")
##### Fill null values with the previous non-null value
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -1h)
|> filter(fn: (r) =>
r._measurement == "cpu" and

2
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@ -35,7 +35,7 @@ Objects evaluated in `fn` functions are represented by `r`, short for "record" o
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-1h)
|> filter(fn: (r) =>
r._measurement == "cpu" and

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@ -58,14 +58,14 @@ Groups records by all columns **except** those defined in the [`columns`](#colum
###### Group by host and measurement
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -30m)
|> group(columns: ["host", "_measurement"])
```
###### Group by everything except time
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -30m)
|> group(columns: ["_time"], mode: "except")
```
@ -73,7 +73,7 @@ from(bucket: "telegraf/autogen")
###### Ungroup data
```js
// Merge all tables into a single table
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -30m)
|> group()
```

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@ -72,7 +72,7 @@ _**Data type:** String_
- `full`
{{% note %}}
The `on` parameter and the cross method are mutually exclusive.
The `on` parameter and the `cross` method are mutually exclusive.
{{% /note %}}
## Examples
@ -116,14 +116,14 @@ The output will be:
#### Cross-measurement join
```js
data_1 = from(bucket:"telegraf/autogen")
data_1 = from(bucket:"example-bucket")
|> range(start:-15m)
|> filter(fn: (r) =>
r._measurement == "cpu" and
r._field == "usage_system"
)
data_2 = from(bucket:"telegraf/autogen")
data_2 = from(bucket:"example-bucket")
|> range(start:-15m)
|> filter(fn: (r) =>
r._measurement == "mem" and

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@ -44,14 +44,14 @@ _**Data type:** Function_
##### Keep a list of columns
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> keep(columns: ["_time", "_value"])
```
##### Keep all columns matching a predicate
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> keep(fn: (column) => column =~ /inodes*/)
```

4
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@ -35,14 +35,14 @@ _**Data type:** String_
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -30m)
|> keys(column: "keys")
```
##### Return every possible key in a single table
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -30m)
|> keys()
|> keep(columns: ["_value"])

4
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@ -53,7 +53,7 @@ _**Data type:** Function_
##### Get key values from explicitly defined columns
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -30m)
|> filter(fn: (r) => r._measurement == "cpu")
|> keyValues(keyColumns: ["usage_idle", "usage_user"])
@ -61,7 +61,7 @@ from(bucket: "telegraf/autogen")
##### Get key values from columns matching a regular expression
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -30m)
|> filter(fn: (r) => r._measurement == "cpu")
|> keyValues(fn: (schema) => schema.columns |> filter(fn: (r) => r.label =~ /usage_.*/))

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@ -37,7 +37,7 @@ _**Data type:** Integer_
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-1h)
|> limit(n:10, offset: 1)
```

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@ -67,7 +67,7 @@ _**Data type:** Boolean_
###### Square the value of each record
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> filter(fn: (r) =>
r._measurement == "cpu" and
r._field == "usage_system" and
@ -79,7 +79,7 @@ from(bucket:"telegraf/autogen")
###### Create a new table with new format
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> filter(fn: (r) =>
r._measurement == "cpu" and
r._field == "usage_system"

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@ -52,21 +52,21 @@ and ignores dates and times provided in other formats.
###### Time range relative to now
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-12h)
// ...
```
###### Relative time range
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-12h, stop: -15m)
// ...
```
###### Absolute time range
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:2018-05-22T23:30:00Z, stop: 2018-05-23T00:00:00Z)
// ...
```

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@ -46,14 +46,14 @@ _**Data type:** Function_
##### Rename a single column
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> rename(columns: {host: "server"})
```
##### Rename all columns using a function
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> rename(fn: (column) => column + "_new")
```

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@ -35,7 +35,7 @@ _**Data type:** Array of strings_
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-1h)
|> filter(fn: (r) =>
r._measurement == "mem" and

2
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@ -30,7 +30,7 @@ _**Data type:** string_
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> filter(fn: (r) => r._measurement == "cpu")
|> distinct(column: "host")

2
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@ -21,7 +21,7 @@ first()
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-1h)
|> filter(fn: (r) =>
r._measurement == "cpu" and

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@ -44,7 +44,7 @@ _**Data type:** Array of strings_
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-1h)
|> filter(fn: (r) =>
r._measurement == "mem" and

2
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@ -44,7 +44,7 @@ _**Data type:** Array of strings_
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-1h)
|> filter(fn: (r) =>
r._measurement == "mem" and

2
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@ -44,7 +44,7 @@ _**Data type:** Array of strings_
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-1h)
|> filter(fn: (r) =>
r._measurement == "mem" and

2
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@ -21,7 +21,7 @@ last()
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-1h)
|> filter(fn: (r) =>
r._measurement == "cpu" and

2
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@ -44,7 +44,7 @@ _**Data type:** Array of strings_
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-1h)
|> filter(fn: (r) =>
r._measurement == "mem" and

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@ -44,7 +44,7 @@ _**Data type:** Array of strings_
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-1h)
|> filter(fn: (r) =>
r._measurement == "mem" and

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@ -44,7 +44,7 @@ _**Data type:** Array of strings_
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-1h)
|> filter(fn: (r) =>
r._measurement == "mem" and

2
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@ -29,7 +29,7 @@ _**Data type:** String_
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-1h)
|> filter(fn: (r) =>
r._measurement == "cpu" and

2
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@ -29,7 +29,7 @@ _**Data type:** String_
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-1h)
|> filter(fn: (r) =>
r._measurement == "cpu" and

2
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@ -36,7 +36,7 @@ _**Data type:** Integer_
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-1d)
|> filter(fn: (r) =>
r._measurement == "cpu" and

2
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@ -35,7 +35,7 @@ _**Data type:** Array of strings_
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-1h)
|> filter(fn: (r) =>
r._measurement == "mem" and

2
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@ -30,7 +30,7 @@ _**Data type:** String_
## Examples
```js
from("telegraf/autogen")
from("example-bucket")
|> range(start: -15m)
|> filter(fn: (r) => r._measurement == "syslog")
|> unique(column: "message")

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@ -35,6 +35,6 @@ _**Data type:** String_
## Examples
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> set(key: "host", value: "prod-node-1")
```

2
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@ -43,7 +43,7 @@ _**Data type:** Boolean_
## Examples
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-12h)
|> filter(fn: (r) =>
r._measurement == "system" and

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@ -0,0 +1,35 @@
---
title: Flux stream and table functions
list_title: Stream and table functions
seotitle: Flux built-in stream and table functions
description: >
Use stream and table functions to extract a table from a stream of tables and access its
columns and records.
weight: 401
menu:
v2_0_ref:
name: Stream & table
parent: built-in-transformations
v2.0/tags: [transformations, built-in, functions, stream, table]
---
Use stream and table functions to extract a table from a stream of tables and access its
columns and records.
##### Example stream and table functions
```js
data = from(bucket:"example-bucket")
|> range(start: -5m)
|> filter(fn:(r) => r._measurement == "cpu")
// Extract the first available table for which "_field" is equal to "usage_idle"
t = data |> tableFind(fn: (key) => key._field == "usage_idle")
// Extract the "_value" column from the table
values = t |> getColumn(column: "_value")
// Extract the first record from the table
r0 = t |> getRecord(idx: 0)
```
{{< children type="functions" >}}

39
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@ -0,0 +1,39 @@
---
title: getColumn() function
description: >
The `getColumn()` function extracts a column from a table given its label.
If the label is not present in the set of columns, the function errors.
menu:
v2_0_ref:
name: getColumn
parent: Stream & table
weight: 501
---
The `getColumn()` function extracts a column from a table given its label.
If the label is not present in the set of columns, the function errors.
_**Function type:** Stream and table_
```js
getColumn(column: "_value")
```
## Parameters
### column
The name of the column to extract.
_**Data type:** String_
## Example
```js
vs = from(bucket:"example-bucket")
|> range(start: -5m)
|> filter(fn:(r) => r._measurement == "cpu")
|> tableFind(fn: (key) => key._field == "usage_idle")
|> getColumn(column: "_value")
// Use column values
x = vs[0] + vs[1]
```

39
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@ -0,0 +1,39 @@
---
title: getRecord() function
description: >
The `getRecord()` function extracts a record from a table given its index.
If the index is out of bounds, the function errors.
menu:
v2_0_ref:
name: getRecord
parent: Stream & table
weight: 501
---
The `getRecord()` function extracts a record from a table given the record's index.
If the index is out of bounds, the function errors.
_**Function type:** Stream and table_
```js
getRecord(idx: 0)
```
## Parameters
### idx
The index of the record to extract.
_**Data type:** Integer_
## Example
```js
r0 = from(bucket:"example-bucket")
|> range(start: -5m)
|> filter(fn:(r) => r._measurement == "cpu")
|> tableFind(fn: (key) => key._field == "usage_idle")
|> getRecord(idx: 0)
// Use record values
x = r0._field + "--" + r0._measurement
```

50
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@ -0,0 +1,50 @@
---
title: tableFind() function
description: >
The `tableFind()` function extracts the first table in a stream of tables whose
group key values match a predicate. If no table is found, the function errors.
menu:
v2_0_ref:
name: tableFind
parent: Stream & table
weight: 501
---
The `tableFind()` function extracts the first table in a stream of tables whose
group key values match a predicate. If no table is found, the function errors.
_**Function type:** Stream and table_
```js
tableFind(column: "_value")
```
## Parameters
### fn
A predicate function for matching keys in a table's group key.
`tableFind` returns the first table that resolves as `true`.
It expects a `key` argument which represents a group key in the input stream.
_**Data type:** Function_
##### Example fn function
```js
(key) => key._field == "fieldName"
```
## Example
```js
t = from(bucket:"example-bucket")
|> range(start: -5m)
|> filter(fn:(r) => r._measurement == "cpu")
|> tableFind(fn: (key) => key._field == "usage_idle")
// t represents the first table in a stream whose group key
// contains "_field" with a value of "usage_idle".
```
{{% note %}}
You can use `t` from the example above as input for [`getColumn()`](/v2.0/reference/flux/functions/built-in/transformations/stream-table/getcolumn/)
and [`getRecord()`](/v2.0/reference/flux/functions/built-in/transformations/stream-table/getrecord/).
{{% /note %}}

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@ -39,14 +39,14 @@ _**Data type:** Array of strings_
###### Shift forward in time
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> timeShift(duration: 12h)
```
###### Shift backward in time
```js
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> timeShift(duration: -12h)
```

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@ -113,7 +113,7 @@ _**Data type:** Boolean_
#### Window data into 10 minute intervals
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-12h)
|> window(every:10m)
// ...
@ -122,7 +122,7 @@ from(bucket:"telegraf/autogen")
#### Window data using intervals function
The following windows data into 8 hour intervals starting at 9AM every day.
```js
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start:-12h)
|> window(intervals: intervals(every:1d, period:8h, offset:9h))
```

2
content/v2.0/reference/flux/functions/influxdb-v1/fieldsascols.md
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@ -26,7 +26,7 @@ v1.fieldsAsCols()
```js
import "influxdata/influxdb/v1"
from(bucket:"telegraf/autogen")
from(bucket:"example-bucket")
|> range(start: -1h)
|> filter(fn: (r) => r._measurement == "cpu")
|> v1.fieldsAsCols()

4
content/v2.0/reference/flux/functions/testing/assertempty.md
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@ -31,9 +31,9 @@ The `.testing.assertEmpty()` function checks to see if the diff is empty.
```js
import "testing"
got = from(bucket: "telegraf/autogen")
got = from(bucket: "example-bucket")
|> range(start: -15m)
want = from(bucket: "backup_telegraf/autogen")
want = from(bucket: "backup_example-bucket")
|> range(start: -15m)
got
|> testing.diff(want: want)

8
content/v2.0/reference/flux/functions/testing/assertequals.md
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@ -51,10 +51,10 @@ _**Data type:** Object_
```js
import "testing"
want = from(bucket: "backup-telegraf/autogen")
want = from(bucket: "backup-example-bucket")
|> range(start: -5m)
got = from(bucket: "telegraf/autogen")
got = from(bucket: "example-bucket")
|> range(start: -5m)
testing.assertEquals(got: got, want: want)
@ -64,10 +64,10 @@ testing.assertEquals(got: got, want: want)
```js
import "testing"
want = from(bucket: "backup-telegraf/autogen")
want = from(bucket: "backup-example-bucket")
|> range(start: -5m)
from(bucket: "telegraf/autogen")
from(bucket: "example-bucket")
|> range(start: -5m)
|> testing.assertEquals(want: want)
```

8
content/v2.0/reference/flux/functions/testing/diff.md
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@ -48,9 +48,9 @@ _**Data type:** Object_
```js
import "testing"
want = from(bucket: "backup-telegraf/autogen")
want = from(bucket: "backup-example-bucket")
|> range(start: -5m)
got = from(bucket: "telegraf/autogen")
got = from(bucket: "example-bucket")
|> range(start: -5m)
testing.diff(got: got, want: want)
```
@ -59,8 +59,8 @@ testing.diff(got: got, want: want)
```js
import "testing"
want = from(bucket: "backup-telegraf/autogen") |> range(start: -5m)
from(bucket: "telegraf/autogen")
want = from(bucket: "backup-example-bucket") |> range(start: -5m)
from(bucket: "example-bucket")
|> range(start: -5m)
|> testing.diff(want: want)
```

45
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@ -9,11 +9,54 @@ menu:
---
{{% note %}}
_The latest release of InfluxDB v2.0 alpha includes **Flux v0.28.3**.
_The latest release of InfluxDB v2.0 alpha includes **Flux v0.31.0**.
Though newer versions of Flux may be available, they will not be included with
InfluxDB until the next InfluxDB v2.0 release._
{{% /note %}}
## v0.31.0 [2019-05-28]
### Breaking changes
- Copy the table when a table is used multiple times.
### Features
- Support for dynamic queries.
### Bug fixes
- Copy the table when a table is used multiple times.
## v0.30.0 [2019-05-16]
### Features
- Support for dynamic queries.
---
## v0.29.0 [2019-05-15]
### Breaking changes
- Make `on` a required parameter to `join()`.
### Features
- Add stream table index functions (
[`tableFind()`](/v2.0/reference/flux/functions/built-in/transformations/stream-table/tablefind/),
[`getRecord()`](/v2.0/reference/flux/functions/built-in/transformations/stream-table/getrecord/),
[`getColumn()`](/v2.0/reference/flux/functions/built-in/transformations/stream-table/getcolumn/)
).
- Construct invalid binary expressions when given multiple expressions.
### Bug fixes
- Properly use RefCount to reference count tables.
- Remove the race condition within the `(*Query).Done` method.
- Fix table functions test.
- Add `column` parameter to `median()`.
- Modify `median` to work with `aggregateWindow()`.
- `pivot()` now uses the correct column type when filling nulls.
- Add error handling for property list.
- Return the error from the context in the executor.
---
## v0.28.3 [2019-05-01]
### Bug fixes

24
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@ -7,6 +7,30 @@ menu:
weight: 1
---
## v2.0.0-alpha.10 [2019-05-30]
### Features
- Add heatmap visualization type.
- Add scatterplot graph visualization type.
- Add description field to tasks.
- Add CLI arguments for configuring session length and renewal.
- Add smooth interpolation option to line graphs.
### Bug Fixes
- Removed hardcoded bucket for Getting Started with Flux dashboard.
- Ensure map type variables allow for selecting values.
- Generate more idiomatic Flux in query builder.
- Expand tab key presses to two spaces in the Flux editor.
- Prevent dragging of variable dropdowns when dragging a scrollbar inside the dropdown.
- Improve single stat computation.
- Fix crash when opening histogram settings with no data.
### UI Improvements
- Render checkboxes in query builder tag selection lists.
- Fix jumbled card text in Telegraf configuration wizard.
- Change scrapers in scrapers list to be resource cards.
- Export and download resource with formatted resource name with no spaces.
## v2.0.0-alpha.9 [2019-05-01]

361
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@ -16,195 +16,304 @@ which can be selected in the **Visualization Type** selection view of the
Each of the available visualization types and available user controls are described below.
* [Graph](#graph)
* [Graph + Single Stat](#graph-single-stat)
* [Histogram](#histogram)
* [Single Stat](#single-stat)
* [Gauge](#gauge)
* [Table](#table)
- [Graph](#graph)
- [Graph + Single Stat](#graph-single-stat)
- [Heatmap](#heatmap)
- [Histogram](#histogram)
- [Single Stat](#single-stat)
- [Gauge](#gauge)
- [Table](#table)
### Graph
There are several types of graphs you can create.
To select this view, select the **Graph** option from the visualization dropdown in the upper right.
#### Graph Controls
To view **Graph** controls, click the settings icon ({{< icon "gear" >}}) next to the visualization dropdown in the upper right.
* **Geometry**: Select from the following options:
- **Line**: Display a time series in a line graph.
- **Stacked**: Display multiple time series bars as segments stacked on top of each other.
- **Step**: Display a time series in a staircase graph.
- **Bar**: Display the specified time series using a bar chart.
* **Line Colors**: Select a color scheme to use for your graph.
* **Title**: y-axis title. Enter title, if using a custom title.
* **Min**: Minimum y-axis value.
- **Auto** or **Custom**: Enable or disable auto-setting.
* **Max**: Maximum y-axis value.
- **Auto** or **Custom**: Enable or disable auto-setting.
* **Y-Value's Prefix**: Prefix to be added to y-value.
* **Y-Value's Suffix**: Suffix to be added to y-value.
* **Y-Value's Format**: Select between **K/M/B** (Thousand/Million/Billion), **K/M/G** (Kilo/Mega/Giga), or **Raw**.
* **Scale**: Toggle between **Linear** and **Logarithmic**.
##### Line Graph example
To select this view, select the **Graph** option from the visualization dropdown
in the upper right.
{{< img-hd src="/img/2-0-visualizations-line-graph-example.png" alt="Line Graph example" />}}
##### Stacked Graph example
#### Graph controls
{{< img-hd src="/img/2-0-visualizations-stacked-graph-example.png" alt="Stacked Graph example" />}}
To view **Graph** controls, click the settings icon ({{< icon "gear" >}}) next
to the visualization dropdown in the upper right.
#### Step-Plot Graph example
###### Options
- **Interpolation**: Select from the following options:
- **Line**: Display a time series in a line graph
- **Smooth**: Display a time series in a line graph with smooth point interpolation.
- **Step**: Display a time series in a staircase graph.
<!-- - **Bar**: Display the specified time series using a bar chart. -->
<!-- - **Stacked**: Display multiple time series bars as segments stacked on top of each other. -->
- **Line Colors**: Select a color scheme to use for your graph.
{{< img-hd src="/img/2-0-visualizations-step-plot-graph-example.png" alt="Step-Plot Graph example" />}}
###### Y Axis
- **Y Axis Label**: Label for the y-axis.
- **Y Tick Prefix**: Prefix to be added to y-value.
- **Y Tick Suffix**: Suffix to be added to y-value.
- **Y Axis Domain**: The y-axis value range.
- **Auto**: Automatically determine the value range based on values in the data set.
- **Custom**: Manually specify the value range of the y-axis.
- **Min**: Minimum y-axis value.
- **Max**: Maximum y-axis value.
##### Bar Graph example
##### Graph with linear interpolation
{{< img-hd src="/img/2-0-visualizations-bar-graph-example.png" alt="Bar Graph example" />}}
{{< img-hd src="/img/2-0-visualizations-line-graph-example.png" alt="Line Graph example" />}}
##### Graph with smooth interpolation
{{< img-hd src="/img/2-0-visualizations-line-graph-smooth-example.png" alt="Step-Plot Graph example" />}}
##### Graph with step interpolation
{{< img-hd src="/img/2-0-visualizations-line-graph-step-example.png" alt="Step-Plot Graph example" />}}
<!-- ##### Stacked Graph example
{{< img-hd src="/img/2-0-visualizations-stacked-graph-example.png" alt="Stacked Graph example" />}} -->
<!-- ##### Bar Graph example
{{< img-hd src="/img/2-0-visualizations-bar-graph-example.png" alt="Bar Graph example" />}} -->
### Graph + Single Stat
The **Graph + Single Stat** view displays the specified time series in a line graph and overlays the single most recent value as a large numeric value.
To select this view, select the **Graph + Single Stat** option from the visualization dropdown in the upper right.
#### Graph + Single Stat Controls
To view **Graph + Single Stat** controls, click the settings icon ({{< icon "gear" >}}) next to the visualization dropdown in the upper right.
* **Line Colors**: Select the a color scheme to use for your graph.
* **Left Y Axis** section:
* **Title**: y-axis title. Enter title, if using a custom title.
* **Min**: Minimum y-axis value.
- **Auto** or **Custom**: Enable or disable auto-setting.
* **Max**: Maximum y-axis value.
- **Auto** or **Custom**: Enable or disable auto-setting.
* **Y-Value's Prefix**: Prefix to be added to y-value.
* **Y-Value's Suffix**: Suffix to be added to y-value.
* **Y-Value's Format**: Select between **K/M/B** (Thousand/Million/Billion), **K/M/G** (Kilo/Mega/Giga), or **Raw**.
* **Scale**: Toggle between **Linear** and **Logarithmic**.
* **Customize Single-Stat** section:
* **Prefix**: Prefix to be added to the single stat.
* **Suffix**: Suffix to be added to the single stat.
* **Decimal Places**: The number of decimal places to display for the single stat.
- **Auto** or **Custom**: Enable or disable auto-setting.
* **Colorized Thresholds** section:
* **Base Color**: Select a base, or background, color from the selection list.
* **Add a Threshold**: Change the color of the single stat based on the current value.
* **Value is**: Enter the value at which the single stat should appear in the selected color. Choose a color from the dropdown menu next to the value.
* **Colorization**: Choose **Text** for the single stat to change color based on the configured thresholds. Choose **Background** for the background of the graph to change color based on the configured thresholds.
#### Graph + Single Stat example
The **Graph + Single Stat** view displays the specified time series in a line graph
and overlays the single most recent value as a large numeric value.
{{< img-hd src="/img/2-0-visualizations-line-graph-single-stat-example.png" alt="Line Graph + Single Stat example" />}}
To select this view, select the **Graph + Single Stat** option from the visualization
dropdown in the upper right.
#### Graph + Single Stat Controls
To view **Graph + Single Stat** controls, click the settings icon ({{< icon "gear" >}})
next to the visualization dropdown in the upper right.
###### Options
- **Line Colors**: Select a color scheme to use for your graph.
###### Y Axis
- **Y Axis Label**: Label for the y-axis.
- **Y Tick Prefix**: Prefix to be added to y-value.
- **Y Tick Suffix**: Suffix to be added to y-value.
- **Y Axis Domain**: The y-axis value range.
- **Auto**: Automatically determine the value range based on values in the data set.
- **Custom**: Manually specify the value range of the y-axis.
- **Min**: Minimum y-axis value.
- **Max**: Maximum y-axis value.
###### Customize Single-Stat
- **Prefix**: Prefix to be added to the single stat.
- **Suffix**: Suffix to be added to the single stat.
- **Decimal Places**: The number of decimal places to display for the single stat.
- **Auto** or **Custom**: Enable or disable auto-setting.
###### Colorized Thresholds
- **Base Color**: Select a base or background color from the selection list.
- **Add a Threshold**: Change the color of the single stat based on the current value.
- **Value is**: Enter the value at which the single stat should appear in the selected color.
Choose a color from the dropdown menu next to the value.
- **Colorization**: Choose **Text** for the single stat to change color based on the configured thresholds.
Choose **Background** for the background of the graph to change color based on the configured thresholds.
### Heatmap
A **Heatmap** displays the distribution of data on an x and y axes where color
represents different concentrations of data points.
{{< img-hd src="/img/2-0-visualizations-heatmap-example.png" alt="Heatmap example" />}}
To select this view, select the **Heatmap** option from the visualization dropdown in the upper right.
#### Heatmap Controls
To view **Heatmap** controls, click the settings icon ({{< icon "gear" >}})
next to the visualization dropdown in the upper right.
###### Data
- **X Column**: Select the column to use for the x-axis.
- **Y Column**: Select the column to use for the y-axis.
###### Options
- **Color Scheme**: Select a color scheme to use for your heatmap.
- **Bin Size**: Specify the size of each bin. Default is 10.
###### X Axis
- **X Axis Label**: Label for the x-axis.
- **X Tick Prefix**: Prefix to be added to x-value.
- **X Tick Suffix**: Suffix to be added to x-value.
- **X Axis Domain**: The x-axis value range.
- **Auto**: Automatically determine the value range based on values in the data set.
- **Custom**: Manually specify the value range of the x-axis.
- **Min**: Minimum x-axis value.
- **Max**: Maximum x-axis value.
###### Y Axis
- **Y Axis Label**: Label for the y-axis.
- **Y Tick Prefix**: Prefix to be added to y-value.
- **Y Tick Suffix**: Suffix to be added to y-value.
- **Y Axis Domain**: The y-axis value range.
- **Auto**: Automatically determine the value range based on values in the data set.
- **Custom**: Manually specify the value range of the y-axis.
- **Min**: Minimum y-axis value.
- **Max**: Maximum y-axis value.
### Histogram
A histogram is a way to view the distribution of data. Unlike column charts, histograms have no time axis. The y-axis is dedicated to count, and the x-axis is divided into bins.
A histogram is a way to view the distribution of data. Unlike column charts, histograms have no time axis.
The y-axis is dedicated to count, and the x-axis is divided into bins.
{{< img-hd src="/img/2-0-visualizations-histogram-example.png" alt="Histogram example" />}}
To select this view, select the **Histogram** option from the visualization dropdown in the upper right.
#### Histogram Controls
To view **Histogram** controls, click the settings icon ({{< icon "gear" >}}) next to the visualization dropdown in the upper right.
To view **Histogram** controls, click the settings icon ({{< icon "gear" >}}) next
to the visualization dropdown in the upper right.
* **Data** section:
* **Column**: The column to select data from.
* **Group By**: The tags to sort by.
* **Options** section:
* **Color Scheme**: Select a color scheme to use for your graph.
* **Positioning**: Select (**Stacked**) to display data stacked on top of each other for each bin, or select
* **Bins**: Enter a number of bins to divide data into or select Auto to automatically calculate the number of bins.
* **Auto** or **Custom**: Enable or disable auto-setting.
###### Data
- **Column**: The column to select data from.
- **Group By**: The column to group by.
#### Histogram example
###### Options
- **Color Scheme**: Select a color scheme to use for your graph.
- **Positioning**: Select **Stacked** to stack groups in a bin on top of each other.
Select **Overlaid** to overlay groups in each bin.
- **Bins**: Enter a number of bins to divide data into or select Auto to automatically
calculate the number of bins.
- **Auto** or **Custom**: Enable or disable auto-setting.
{{< img-hd src="/img/2-0-visualizations-histogram-example.png" alt="Histogram example" />}}
###### X Axis
- **X Axis Label**: Label for the x-axis.
- **X Axis Domain**: The x-axis value range.
- **Auto**: Automatically determine the value range based on values in the data set.
- **Custom**: Manually specify the value range of the x-axis.
- **Min**: Minimum x-axis value.
- **Max**: Maximum x-axis value.
### Single Stat
The **Single Stat** view displays the most recent value of the specified time series as a numerical value.
{{< img-hd src="/img/2-0-visualizations-single-stat-example.png" alt="Single stat example" />}}
To select this view, select the **Single Stat** option from the visualization dropdown in the upper right.
#### Single Stat Controls
To view **Single Stat** controls, click the settings icon ({{< icon "gear" >}}) next to the visualization dropdown in the upper right.
To view **Single Stat** controls, click the settings icon ({{< icon "gear" >}})
next to the visualization dropdown in the upper right.
* **Customize Single-Stat** section:
* **Prefix**: Prefix to be added to the single stat.
* **Suffix**: Suffix to be added to the single stat.
* **Decimal Places**: The number of decimal places to display for the single stat.
- **Prefix**: Prefix to be added to the single stat.
- **Suffix**: Suffix to be added to the single stat.
- **Decimal Places**: The number of decimal places to display for the single stat.
- **Auto** or **Custom**: Enable or disable auto-setting.
* **Colorized Thresholds** section:
* **Base Color**: Select a base, or background, color from the selection list.
* **Add a Threshold**: Change the color of the single stat based on the current value.
* **Value is**: Enter the value at which the single stat should appear in the selected color. Choose a color from the dropdown menu next to the value.
* **Colorization**: Choose **Text** for the single stat to change color based on the configured thresholds. Choose **Background** for the background of the graph to change color based on the configured thresholds.
###### Colorized Thresholds
- **Base Color**: Select a base or background color from the selection list.
- **Add a Threshold**: Change the color of the single stat based on the current value.
- **Value is**: Enter the value at which the single stat should appear in the selected color.
Choose a color from the dropdown menu next to the value.
- **Colorization**: Choose **Text** for the single stat to change color based on the configured thresholds.
Choose **Background** for the background of the graph to change color based on the configured thresholds.
### Gauge
The **Gauge** view displays the single value most recent value for a time series in a gauge view.
{{< img-hd src="/img/2-0-visualizations-gauge-example.png" alt="Gauge example" />}}
To select this view, select the **Gauge** option from the visualization dropdown in the upper right.
#### Gauge Controls
To view **Gauge** controls, click the settings icon ({{< icon "gear" >}}) next to the visualization dropdown in the upper right.
To view **Gauge** controls, click the settings icon ({{< icon "gear" >}}) next to
the visualization dropdown in the upper right.
* **Customize Gauge** section:
* **Prefix**: Prefix to be added to the gauge.
* **Suffix**: Suffix to be added to the gauge.
* **Decimal Places**: The number of decimal places to display for the the gauge.
- **Auto** or **Custom**: Enable or disable auto-setting.
- **Prefix**: Prefix to add to the gauge.
- **Suffix**: Suffix to add to the gauge.
- **Decimal Places**: The number of decimal places to display for the the gauge.
- **Auto** or **Custom**: Enable or disable auto-setting.
* **Colorized Thresholds** section:
* **Base Color**: Select a base, or background, color from the selection list.
* **Add a Threshold**: Change the color of the gauge based on the current value.
* **Value is**: Enter the value at which the gauge should appear in the selected color. Choose a color from the dropdown menu next to the value.
#### Gauge example
{{< img-hd src="/img/2-0-visualizations-gauge-example.png" alt="Gauge example" />}}
###### Colorized Thresholds
- **Base Color**: Select a base or background color from the selection list.
- **Add a Threshold**: Change the color of the gauge based on the current value.
- **Value is**: Enter the value at which the gauge should appear in the selected color.
Choose a color from the dropdown menu next to the value.
### Table
The **Table** option displays the results of queries in a tabular view, which is sometimes easier to analyze than graph views of data.
The **Table** option displays the results of queries in a tabular view, which is
sometimes easier to analyze than graph views of data.
{{< img-hd src="/img/2-0-visualizations-table-example.png" alt="Table example" />}}
To select this view, select the **Table** option from the visualization dropdown in the upper right.
#### Table Controls
To view **Table** controls, click the settings icon ({{< icon "gear" >}}) next to the visualization dropdown in the upper right.
To view **Table** controls, click the settings icon ({{< icon "gear" >}}) next to
the visualization dropdown in the upper right.
* **Customize Table** section:
* **Default Sort Field**: Select the default sort field. Default is **time**.
* **Time Format**: Select the time format.
- Options include: `MM/DD/YYYY HH:mm:ss` (default), `MM/DD/YYYY HH:mm:ss.SSS`, `YYYY-MM-DD HH:mm:ss`, `HH:mm:ss`, `HH:mm:ss.SSS`, `MMMM D, YYYY HH:mm:ss`, `dddd, MMMM D, YYYY HH:mm:ss`, or `Custom`.
* **Default Sort Field**: Select the default sort field. Default is **time**.
* **Decimal Places**: Enter the number of decimal places. Default (empty field) is **unlimited**.
- **Default Sort Field**: Select the default sort field. Default is **time**.
- **Time Format**: Select the time format. Options include:
- `MM/DD/YYYY HH:mm:ss` (default)
- `MM/DD/YYYY HH:mm:ss.SSS`
- `YYYY-MM-DD HH:mm:ss`
- `HH:mm:ss`
- `HH:mm:ss.SSS`
- `MMMM D, YYYY HH:mm:ss`
- `dddd, MMMM D, YYYY HH:mm:ss`
- `Custom`
- **Decimal Places**: Enter the number of decimal places. Default (empty field) is **unlimited**.
- **Auto** or **Custom**: Enable or disable auto-setting.
* **Column Settings** section:
* **First Column**: Toggle to **Fixed** to lock the first column so that the listings are always visible. Threshold settings do not apply in the first column when locked.
* **Table Columns**:
- Enter a new name to rename any of the columns.
- Click the eye icon next to a column to hide it.
- [additional]: Enter name for each additional column.
- Change the order of the columns by dragging to the desired position.
###### Column Settings
- **First Column**: Toggle to **Fixed** to lock the first column so that the listings are always visible.
Threshold settings do not apply in the first column when locked.
- **Table Columns**:
- Enter a new name to rename any of the columns.
- Click the eye icon next to a column to hide it.
- [additional]: Enter name for each additional column.
- Change the order of the columns by dragging to the desired position.
* **Colorized Thresholds** section:
* **Base Color**: Select a base, or background, color from the selection list.
* **Add a Threshold**: Change the color of the table based on the current value.
* **Value is**: Enter the value at which the table should appear in the selected color. Choose a color from the dropdown menu next to the value.
###### Colorized Thresholds
- **Base Color**: Select a base or background color from the selection list.
- **Add a Threshold**: Change the color of the table based on the current value.
- **Value is**: Enter the value at which the table should appear in the selected color.
Choose a color from the dropdown menu next to the value.
#### Table view example
### Scatter
The **Scatter** option uses a scatter plot to display time series data.
{{< img-hd src="/img/2-0-visualizations-table-example.png" alt="Table example" />}}
{{< img-hd src="/img/2-0-visualizations-scatter-example.png" alt="Scatter plot example" />}}
To select this view, select the **Scatter** option from the visualization dropdown in the upper right.
#### Scatter controls
To view **Scatter** controls, click the settings icon ({{< icon "gear" >}}) next
to the visualization dropdown in the upper right.
###### Data
- **Symbol column**: Define a column containing values that should be differentiated with symbols.
- **Fill column**: Define a column containing values that should be differentiated with fill color.
###### Options
- **Color Scheme**: Select a color scheme to use for your scatter plot.
###### X Axis
- **X Axis Label**: Label for the x-axis.
###### Y Axis
- **Y Axis Label**: Label for the y-axis.
- **Y Tick Prefix**: Prefix to be added to y-value.
- **Y Tick Suffix**: Suffix to be added to y-value.
- **Y Axis Domain**: The y-axis value range.
- **Auto**: Automatically determine the value range based on values in the data set.
- **Custom**: Manually specify the value range of the y-axis.
- **Min**: Minimum y-axis value.
- **Max**: Maximum y-axis value.

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