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fix(v3-enterprise): Closes #5887: Enterprise get-started is missing write path steps and recent fixes
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content/shared/v3-core-get-started/_index.md

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@@ -47,7 +47,7 @@ This guide covers InfluxDB 3 Core (the open source release), including the follo
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* [Install and startup](#install-and-startup)
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* [Data Model](#data-model)
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* [Write data to the database](#write-data)
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* [Write data](#write-data)
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* [Query the database](#query-the-database)
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* [Last values cache](#last-values-cache)
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* [Distinct values cache](#distinct-values-cache)
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{{% product-name %}} is optimized for recent data, but accepts writes from any time period. It persists that data in Parquet files for access by third-party systems for longer term historical analysis and queries. If you require longer historical queries with a compactor that optimizes data organization, consider using [InfluxDB 3 Enterprise](/influxdb3/enterprise/get-started/).
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The database provides three write API endpoints that respond to HTTP `POST` requests:
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{{% product-name %}} provides three write API endpoints that respond to HTTP `POST` requests:
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#### /api/v3/write_lp endpoint
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@@ -422,7 +422,7 @@ To learn more about a subcommand, use the `-h, --help` flag:
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influxdb3 create -h
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```
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### Query a database
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### Query the database
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InfluxDB 3 now supports native SQL for querying, in addition to InfluxQL, an
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SQL-like language customized for time series queries.
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1. Create a _plugin directory_--for example, `/path/to/.influxdb/plugins`
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2. [Start the InfluxDB server](#start-influxdb) and include the `--plugin-dir <PATH>` option.
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3. Save the [preceding example code](#example-python-plugin) to a plugin file inside of the plugin directory. If you haven't yet written data to the table in the example, comment out the lines where it queries.
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3. Save the [preceding example code](#example-python-plugin-for-wal-flush) to a plugin file inside of the plugin directory. If you haven't yet written data to the table in the example, comment out the lines where it queries.
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4. To run the test, enter the following command with the following options:
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- `--lp` or `--file`: The line protocol to test

content/shared/v3-enterprise-get-started/_index.md

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@@ -37,7 +37,7 @@ This guide covers Enterprise as well as InfluxDB 3 Core, including the following
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* [Install and startup](#install-and-startup)
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* [Data Model](#data-model)
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* [Write data to the database](#write-data)
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* [Write data](#write-data)
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* [Query the database](#query-the-database)
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* [Last values cache](#last-values-cache)
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* [Distinct values cache](#distinct-values-cache)
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<!--------------- BEGIN LINUX AND MACOS -------------->
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To get started quickly, download and run the install script--for example, using [curl](https://curl.se/download.html):
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<!--pytest.mark.skip-->
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```bash
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curl -O https://www.influxdata.com/d/install_influxdb3.sh \
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&& sh install_influxdb3.sh enterprise
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Pull the image:
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<!--pytest.mark.skip-->
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```bash
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docker pull quay.io/influxdb/influxdb3-enterprise:latest
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```
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If your system doesn't locate `influxdb3`, then `source` the configuration file (for example, .bashrc, .zshrc) for your shell--for example:
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<!--pytest.mark.skip-->
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```zsh
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source ~/.zshrc
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```
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The following examples show how to start InfluxDB 3 with different object store configurations:
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```bash
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# MEMORY
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# Memory object store
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# Stores data in RAM; doesn't persist data
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influxdb3 serve --node-id=local01 --object-store=memory
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```
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```bash
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# FILESYSTEM
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# Filesystem object store
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# Provide the filesystem directory
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influxdb3 serve \
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--node-id=local01 \
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- `-v /path/on/host:/path/in/container`: Mounts a directory from your filesystem to the container
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- `--object-store file --data-dir /path/in/container`: Uses the mount for server storage
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> [!Note]
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>
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> The {{% product-name %}} Docker image exposes port `8181`, the `influxdb3` server default for HTTP connections.
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> To map the exposed port to a different port when running a container, see the Docker guide for [Publishing and exposing ports](https://docs.docker.com/get-started/docker-concepts/running-containers/publishing-ports/).
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<!--pytest.mark.skip-->
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```bash
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# FILESYSTEM USING DOCKER
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# Filesystem object store with Docker
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# Create a mount
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# Provide the mount path
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docker run -it \
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-v /path/on/host:/path/in/container \
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quay.io/influxdb/influxdb3-enterprise:latest serve \
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```
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```bash
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# S3 (defaults to us-east-1 for region)
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# S3 object store (default is the us-east-1 region)
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# Specify the Object store type and associated options
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influxdb3 serve --node-id=local01 --object-store=s3 --bucket=[BUCKET] --aws-access-key=[AWS ACCESS KEY] --aws-secret-access-key=[AWS SECRET ACCESS KEY]
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```bash
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influxdb3 serve \
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--node-id=local01 \
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--object-store=s3 \
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--bucket=BUCKET \
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--aws-access-key=AWS_ACCESS_KEY \
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--aws-secret-access-key=AWS_SECRET_ACCESS_KEY
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```
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```bash
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# Minio/Open Source Object Store (Uses the AWS S3 API, with additional parameters)
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# Specify the Object store type and associated options
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influxdb3 serve --node-id=local01 --object-store=s3 --bucket=[BUCKET] --aws-access-key=[AWS ACCESS KEY] --aws-secret-access-key=[AWS SECRET ACCESS KEY] --aws-endpoint=[ENDPOINT] --aws-allow-http
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# Minio or other open source object store
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# (using the AWS S3 API with additional parameters)
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# Specify the object store type and associated options
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```bash
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influxdb3 serve --node-id=local01 --object-store=s3 --bucket=BUCKET \
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--aws-access-key=AWS_ACCESS_KEY \
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--aws-secret-access-key=AWS_SECRET_ACCESS_KEY \
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--aws-endpoint=ENDPOINT \
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--aws-allow-http
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```
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_For more information about server options, run `influxdb3 serve --help`._
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> Use the `docker kill` command to stop the container:
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>
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> 1. Enter the following command to find the container ID:
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> <!--pytest.mark.skip-->
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> ```bash
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> docker ps -a
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> ```
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> 2. Enter the command to stop the container:
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> <!--pytest.mark.skip-->
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> ```bash
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> docker kill <CONTAINER_ID>
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> ```
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_During the alpha period, licenses are valid until May 7, 2025._
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### Data Model
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### Data model
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The database server contains logical databases, which have tables, which have columns. Compared to previous versions of InfluxDB you can think of a database as a `bucket` in v2 or as a `db/retention_policy` in v1. A `table` is equivalent to a `measurement`, which has columns that can be of type `tag` (a string dictionary), `int64`, `float64`, `uint64`, `bool`, or `string` and finally every table has a `time` column that is a nanosecond precision timestamp.
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After a schema is created, InfluxDB validates future write requests against it before accepting the data.
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Subsequent requests can add new fields on-the-fly, but can't add new tags.
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The database has three write API endpoints that respond to HTTP `POST` requests:
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{{% product-name %}} provides three write API endpoints that respond to HTTP `POST` requests:
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#### /api/v3/write_lp endpoint
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{{% product-name %}} adds the `/api/v3/write_lp` endpoint.
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{{<api-endpoint endpoint="/api/v3/write_lp?db=mydb&precision=nanosecond&accept_partial=true" method="post" >}}
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This endpoint accepts the same line protocol syntax as previous versions,
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and supports the `?accept_partial=<BOOLEAN>` parameter, which
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lets you accept or reject partial writes (default is `true`).
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#### /api/v2/write InfluxDB v2 compatibility endpoint
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* `/write?db=mydb&precision=ns`
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* `/api/v2/write?bucket=mydb&precision=ns`
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* `/api/v3/write_lp?db=mydb&precision=nanosecond&accept_partial=true`
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Provides backwards compatibility with clients that can write data to InfluxDB OSS v2.x and Cloud 2 (TSM).
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{{<api-endpoint endpoint="/api/v2/write?bucket=mydb&precision=ns" method="post" >}}
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{{% product-name %}} provides the `/write` and `/api/v2/write` endpoints for backward compatibility with clients that can write data to previous versions of InfluxDB.
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However, these APIs differ from the APIs in the previous versions in the following ways:
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#### /write InfluxDB v1 compatibility endpoint
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Provides backwards compatibility for clients that can write data to InfluxDB v1.x
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{{<api-endpoint endpoint="/write?db=mydb&precision=ns" method="post" >}}
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Keep in mind that these compatibility APIs differ from the v1 and v2 APIs in previous versions in the following ways:
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- Tags in a table (measurement) are _immutable_
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- A tag and a field can't have the same name within a table.
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{{% product-name %}} adds the `/api/v3/write_lp` endpoint, which accepts the same line protocol syntax as previous versions, and supports an `?accept_partial=<BOOLEAN>` parameter, which
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lets you accept or reject partial writes (default is `true`).
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#### Write line protocol
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The following code block is an example of [line protocol](/influxdb3/core/reference/syntax/line-protocol/), which shows the table name followed by tags, which are an ordered, comma-separated list of key/value pairs where the values are strings, followed by a comma-separated list of key/value pairs that are the fields, and ending with an optional timestamp. The timestamp by default is a nanosecond epoch, but you can specify a different precision through the `precision` query parameter.
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The following code block is an example of time series data in [line protocol](/influxdb3/core/reference/syntax/line-protocol/) syntax:
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- `cpu`: the table name.
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- `host`, `region`, `applications`: the tags. A tag set is an ordered, comma-separated list of key/value pairs where the values are strings.
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- `val`, `usage_percent`, `status`: the fields. A field set is a comma-separated list of key/value pairs.
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- timestamp: If you don't specify a timestamp, InfluxData uses the time when data is written.
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The default precision is a nanosecond epoch.
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To specify a different precision, pass the `precision` query parameter.
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```
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cpu,host=Alpha,region=us-west,application=webserver val=1i,usage_percent=20.5,status="OK"
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cpu,host=Alpha,region=us-west,application=webserver val=6i,usage_percent=25.3,status="Warn"
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```
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##### Example: write data using the influxdb3 CLI
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If you save the preceding line protocol to a file (for example, `server_data`), then you can use the `influxdb3` CLI to write the data--for example:
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```bash
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influxdb3 write --database=mydb --file=server_data
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```
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##### Example: write data using the /api/v3 HTTP API
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The following examples show how to write data using `curl` and the `/api/3/write_lp` HTTP endpoint.
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To show the difference between accepting and rejecting partial writes, line `2` in the example contains a `string` value for a `float` field (`temp=hi`).
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##### Partial write of line protocol occurred
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###### Partial write of line protocol occurred
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Line `1` is written and queryable.
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The response is an HTTP error (`400`) status, and the response body contains the error message `partial write of line protocol occurred` with details about the problem line.
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##### Parsing failed for write_lp endpoint
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###### Parsing failed for write_lp endpoint
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##### Data durability
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#### Data durability
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When you write data to InfluxDB, InfluxDB ingests the data and writes it to WAL files, created once per second, and to an in-memory queryable buffer.
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Later, InfluxDB snapshots the WAL and persists the data into object storage as Parquet files.
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> [!Note]
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> ##### Write requests return after WAL flush
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> Because InfluxDB sends a write response after the WAL file has been flushed to the configured object store (default is every second), individual write requests might not complete quickly, but you can make many concurrent requests to achieve higher total throughput.
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> Future enhancements will include an API parameter that lets requests return without waiting for the WAL flush.
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> By default, InfluxDB acknowledges writes after flushing the WAL file to the Object store (occurring every second). For high throughput, you can send multiple concurrent write requests.
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>
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> To reduce the latency of writes, use the [`no_sync` write option](#no-sync-write-option), which acknowledges writes _before_ WAL persistence completes.
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##### No sync write option
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The `no_sync` write option reduces latency by acknowledging write requests before WAL persistence completes. When set to `true`, InfluxDB validates the data, writes the data to the WAL, and then immediately confirms the write, without waiting for persistence to the Object store.
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Using `no_sync=true` is best when prioritizing high-throughput writes over absolute durability.
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- Default behavior (`no_sync=false`): Waits for data to be written to the Object store before acknowledging the write. Reduces the risk of data loss, but increases the latency of the response.
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- With `no_sync=true`: Reduces write latency, but increases the risk of data loss in case of a crash before WAL persistence.
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###### Immediate write using the HTTP API
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The `no_sync` parameter controls when writes are acknowledged--for example:
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```sh
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curl "http://localhost:8181/api/v3/write_lp?db=sensors&precision=auto&no_sync=true" \
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--data-raw "home,room=Sunroom temp=96"
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```
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###### Immediate write using the influxdb3 CLI
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The `no_sync` CLI option controls when writes are acknowledged--for example:
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```sh
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influxdb3 write --bucket=mydb --org=my_org --token=my-token --no-sync
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```
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#### Create a database or table
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### Create a database or table
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To create a database without writing data, use the `create` subcommand--for example:
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1. Create a _plugin directory_--for example, `/path/to/.influxdb/plugins`
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2. [Start the InfluxDB server](#start-influxdb) and include the `--plugin-dir <PATH>` option.
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3. Save the [preceding example code](#example-python-plugin) to a plugin file inside of the plugin directory. If you haven't yet written data to the table in the example, comment out the lines where it queries.
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3. Save the [preceding example code](#example-python-plugin-for-wal-flush) to a plugin file inside of the plugin directory. If you haven't yet written data to the table in the example, comment out the lines where it queries.
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4. To run the test, enter the following command with the following options:
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- `--lp` or `--file`: The line protocol to test

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