chore(v3): Add Java client library interface and API
- Fix Python client library reference. - Removed `list_code_example` from both due to render problems.pull/5533/head
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@ -3,7 +3,6 @@ title: Java client library for InfluxDB v3
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list_title: Java
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description: >
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The InfluxDB v3 `influxdb3-java` Java client library integrates with application code to write and query data stored in an InfluxDB Cloud Serverless bucket.
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external_url: https://github.com/InfluxCommunity/influxdb3-java
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menu:
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influxdb_cloud_serverless:
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name: Java
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@ -15,22 +14,144 @@ aliases:
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- /cloud-serverless/query-data/sql/execute-queries/java/
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---
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The InfluxDB v3 [`influxdb3-java` Java client library](https://github.com/InfluxCommunity/influxdb3-java) integrates with Java application code
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to write and query data stored in an {{% product-name %}} bucket.
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The InfluxDB v3 [`influxdb3-java` Java client library](https://github.com/InfluxCommunity/influxdb3-java) integrates
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with Java application code to write and query data stored in an {{% product-name %}}
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bucket.
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The documentation for this client library is available on GitHub.
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InfluxDB client libraries provide configurable batch writing of data to {{% product-name %}}.
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Client libraries can be used to construct line protocol data, transform data from other formats
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to line protocol, and batch write line protocol data to InfluxDB HTTP APIs.
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<a href="https://github.com/InfluxCommunity/influxdb3-java" target="_blank" class="btn github">InfluxDB v3 Java client library</a>
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InfluxDB v3 client libraries can query {{% product-name %}} using SQL or InfluxQL.
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The `influxdb3-java` Java client library wraps the Apache Arrow `org.apache.arrow.flight.FlightClient`
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in a convenient InfluxDB v3 interface for executing SQL and InfluxQL queries, requesting
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server metadata, and retrieving data from {{% product-name %}} using the Flight protocol with gRPC.
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## Setup & Installation
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Create a command line java application using Maven or Gradle.
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### Maven
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To use Maven to install the client library in your project, add the following to your `pom.xml`:
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- [Installation](#installation)
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- [Using Maven](#using-maven)
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- [Using Gradle](#using-gradle)
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- [Importing the client](#importing-the-client)
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- [API reference](#api-reference)
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- [Classes](#classes)
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- [Interface InfluxDBClient](#interface-influxdbclient)
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- [Initialize with credential parameters](#initialize-with-credential-parameters)
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- [InfluxDBClient instance methods](#influxdbclient-instance-methods)
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- [InfluxDBClient.writePoint](#influxdbclientwritepoint)
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- [InfluxDBClient.query](#influxdbclientquery)
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#### Example: write and query data
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The following example shows how to use `influxdb3-java` to write and query data stored in {{% product-name %}}.
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```java
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package com.influxdata.demo;
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import com.influxdb.v3.client.InfluxDBClient;
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import com.influxdb.v3.client.Point;
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import com.influxdb.v3.client.query.QueryOptions;
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import com.influxdb.v3.client.query.QueryType;
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import java.time.Instant;
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import java.util.stream.Stream;
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public class HelloInfluxDB {
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private static final String HOST_URL = "https://{{< influxdb/host >}}"; // your Cloud Serverless region URL
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private static final String DATABASE = "java"; // your Cloud Serverless bucket
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private static final char[] API_TOKEN = System.getenv("API_TOKEN"); // your local environment variable that stores your API Token
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// Create a client instance that writes and queries data in your bucket.
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public static void main(String[] args) {
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// Instantiate the client with your InfluxDB credentials
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try (InfluxDBClient client = InfluxDBClient.getInstance(HOST_URL, API_TOKEN, DATABASE)) {
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writeData(client);
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queryData(client);
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}
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catch (Exception e) {
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System.err.println("An error occurred while connecting to InfluxDB Cloud Serverless!");
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e.printStackTrace();
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}
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}
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// Use the Point class to construct time series data.
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private static void writeData(InfluxDBClient client) {
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Point point = Point.measurement("temperature")
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.setTag("location", "London")
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.setField("value", 30.01)
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.setTimestamp(Instant.now().minusSeconds(10));
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try {
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client.writePoint(point);
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System.out.println("Data is written to the bucket.");
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}
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catch (Exception e) {
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System.err.println("Failed to write data to the bucket.");
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e.printStackTrace();
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}
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}
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// Use SQL to query the most recent 10 measurements
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private static void queryData(InfluxDBClient client) {
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System.out.printf("--------------------------------------------------------%n");
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System.out.printf("| %-8s | %-8s | %-30s |%n", "location", "value", "time");
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System.out.printf("--------------------------------------------------------%n");
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String sql = "select time,location,value from temperature order by time desc limit 10";
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try (Stream<Object[]> stream = client.query(sql)) {
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stream.forEach(row -> System.out.printf("| %-8s | %-8s | %-30s |%n", row[1], row[2], row[0]));
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}
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catch (Exception e) {
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System.err.println("Failed to query data from the bucket.");
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e.printStackTrace();
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}
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}
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}
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```
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{{% cite %}}Source: [suyashcjoshi/SimpleJavaInfluxDB](https://github.com/suyashcjoshi/SimpleJavaInfluxDB/) on GitHub{{% /cite %}}
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Replace the following:
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- {{% code-placeholder-key %}}`DATABASE_NAME`{{% /code-placeholder-key %}}: your {{% product-name %}} [bucket](/influxdb/cloud-serverless/admin/buckets/)
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- {{% code-placeholder-key %}}`API_TOKEN`{{% /code-placeholder-key %}}: a local environment variable that stores your [token](/influxdb/cloud-serverless/admin/tokens/)--the token must have read and write permission to the specified bucket.
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### Run the example to write and query data
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1. Build an executable JAR for the project--for example, using Maven:
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<!--pytest.mark.skip-->
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```bash
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mvn package
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```
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2. In your terminal, run the `java` command to write and query data in your bucket:
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<!--pytest.mark.skip-->
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```bash
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java \
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--add-opens=java.base/java.nio=org.apache.arrow.memory.core,ALL-UNNAMED \
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-jar target/PROJECT_NAME.jar
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```
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Include the following in your command:
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- [`--add-opens=java.base/java.nio=org.apache.arrow.memory.core,ALL-UNNAMED`](https://arrow.apache.org/docs/java/install.html#id3): with Java version 9 or later and Apache Arrow version 16 or later, exposes JDK internals for Arrow.
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For more options, see the [Apache Arrow Java install documentation](https://arrow.apache.org/docs/java/install.html).
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- `-jar target/PROJECT_NAME.jar`: your `.jar` file to run.
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The output is the newly written data from your {{< product-name >}} bucket.
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## Installation
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Include `com.influxdb.influxdb3-java` in your project dependencies.
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{{< code-tabs-wrapper >}}
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{{% code-tabs %}}
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[Maven pom.xml](#)
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[Gradle dependency script](#)
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{{% /code-tabs %}}
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{{% code-tab-content %}}
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```xml
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<dependency>
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<groupId>com.influxdb</groupId>
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<version>RELEASE</version>
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</dependency>
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```
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### Gradle
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To use Gradle to install the client library in your project, add the following to your `build.gradle` dependencies:
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{{% /code-tab-content %}}
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{{% code-tab-content %}}
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<!--pytest.mark.skip-->
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```groovy
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implementation group: 'com.influxdb', name: 'influxdb3-java', version: 'latest.release'
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dependencies {
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implementation group: 'com.influxdb', name: 'influxdb3-java', version: 'latest.release'
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}
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```
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{{% /code-tab-content %}}
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{{< /code-tabs-wrapper >}}
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## Example: write and query data
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## Importing the client
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The following example, also available on [GitHub](https://github.com/suyashcjoshi/SimpleJavaInfluxDB/tree/main) shows how to use `influxdb3-java` to write and query data stored in {{% product-name %}}:
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The `influxdb3-java` client library package provides
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`com.influxdb.v3.client` classes for constructing, writing, and querying data
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stored in {{< product-name >}}.
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### Initialize the application
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## API reference
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Create a `HelloInfluxDB.java` class with the following information:
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- [Interface InfluxDBClient](#interface-influxdbclient)
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- [Initialize with credential parameters](#initialize-with-credential-parameters)
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- [InfluxDBClient instance methods](#influxdbclient-instance-methods)
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- [InfluxDBClient.writePoint](#influxdbclientwritepoint)
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- [InfluxDBClient.query](#influxdbclientquery)
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## Interface InfluxDBClient
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Provides an interface for interacting with InfluxDB APIs for writing and querying data.
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The `InfluxDBClient.getInstance` constructor initializes and returns a client instance with the following:
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- A _write client_ configured for writing to the database.
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- An Arrow _Flight client_ configured for querying the database.
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To initialize a client, call `getInstance` and pass your credentials as one of
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the following types:
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- [parameters](#initialize-with-credential-parameters)
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- a [`ClientConfig`](https://github.com/InfluxCommunity/influxdb3-java/blob/main/src/main/java/com/influxdb/v3/client/config/ClientConfig.java)
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- a database connection string--for example:
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```java
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"https://{{< influxdb/host >}}"
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+ "?token=API_TOKEN&database=DATABASE_NAME"
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```
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### Initialize with credential parameters
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```java
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static InfluxDBClient getInstance(@Nonnull final String host,
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@Nullable final char[] token,
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@Nullable final String database)
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```
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- **`host`** (string): The host URL of the InfluxDB instance.
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- **`database`** (string): The bucket to use for writing and querying.
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- **`token`** (string): An API token with read/write permissions.
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#### Example: initialize with credential parameters
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```java
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package com.influxdata.demo;
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import com.influxdb.v3.client.InfluxDBClient;
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import com.influxdb.v3.client.Point;
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import com.influxdb.v3.client.query.QueryOptions;
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import com.influxdb.v3.client.query.QueryType;
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import java.time.Instant;
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import java.util.stream.Stream;
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public class HelloInfluxDB {
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private static final String HOST_URL = "https://{{< influxdb/host >}}";
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private static final String DATABASE = "java"; // your bucket in InfluxDB Cloud Serverless
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private static final char[] API_TOKEN = System.getenv("API_TOKEN"); // your API Token found in InfluxDB Cloud Serverless stored locally
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private static final String DATABASE = "DATABASE_NAME"; // your Cloud Serverless bucket
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private static final char[] API_TOKEN = System.getenv("API_TOKEN"); // an environment variable for your Cloud Serverless API Token
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// Create a client instance, and then write and query data in InfluxDB Cloud Serverless.
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public static void main(String[] args) {
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try (InfluxDBClient client = InfluxDBClient.getInstance(HOST_URL, API_TOKEN, DATABASE)) {
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}
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```
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### Write the data
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#### Default tags
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- _Optional_: To include default
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[tags](/influxdb/cloud-serverless/reference/glossary/#tag) in all written data,
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pass a `Map` of tag keys and values.
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```java
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InfluxDBClient getInstance(@Nonnull final String host,
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@Nullable final char[] token,
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@Nullable final String database,
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@Nullable Map<String, String> defaultTags)
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```
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### InfluxDBClient instance methods
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#### InfluxDBClient.writePoint
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1. Use the `com.influxdb.v3.client.Point` class to create time series data.
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2. Call the `client.writePoint()` method to write points as line protocol in your
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bucket.
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```java
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// Use the Point class to construct time series data.
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// Call client.writePoint to write the point as line protocol to your bucket.
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// Call client.writePoint to write the point in your bucket.
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private static void writeData(InfluxDBClient client) {
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Point point = Point.measurement("temperature")
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.setTag("location", "London")
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}
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```
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### Query the data
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#### InfluxDBClient.query
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To query data and process the results:
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1. Call `client.query()` and provide your SQL query as a string.
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2. Use the result stream's built-in iterator to process row data.
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```java
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// Query the latest 10 measurements using SQL
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}
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```
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## Run the program to write and query data
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Build the project and then run the executable .jar file with this [JVM Flag](https://arrow.apache.org/docs/java/install.html).
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```sh
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java --add-opens=java.base/java.nio=org.apache.arrow.memory.core,ALL-UNNAMED -jar target/PROJECT_NAME.jar
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```
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You should be able to also confirm the newly written data in your InfluxDB Cloud Serverless.
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<a class="btn" href="https://github.com/InfluxCommunity/influxdb3-java/" target="\_blank">View the InfluxDB v3 Java client library</a>
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@ -15,45 +15,9 @@ aliases:
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- /influxdb/cloud-serverless/reference/client-libraries/v3/pyinflux3/
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related:
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- /influxdb/cloud-serverless/query-data/execute-queries/troubleshoot/
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list_code_example: >
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<!-- Import for tests and hide from users.
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```python
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import os
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```
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-->
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<!--pytest-codeblocks:cont-->
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```python
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from influxdb_client_3 import(InfluxDBClient3,
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WriteOptions,
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write_client_options)
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# Instantiate batch writing options for the client
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write_options = WriteOptions()
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wco = write_client_options(write_options=write_options)
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# Instantiate an InfluxDB v3 client
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with InfluxDBClient3(host=f"{{< influxdb/host >}}",
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database=f"BUCKET_NAME",
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token=f"API_TOKEN",
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write_client_options=wco) as client:
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# Write data in batches
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client.write_file(file='./data/home-sensor-data.csv', timestamp_column='time',
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tag_columns=["room"])
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# Execute a query and retrieve data formatted as a PyArrow Table
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table = client.query(
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'''SELECT *
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FROM home
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WHERE time >= now() - INTERVAL '90 days'
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ORDER BY time''')
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```
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---
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The InfluxDB v3 [`influxdb3-python` Python client library](https://github.com/InfluxCommunity/influxdb3-python)
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The InfluxDB v3 [`influxdb3-python` Python client library](https://github.com/InfluxCommunity/influxdb3-python/)
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integrates {{% product-name %}} write and query operations with Python scripts and applications.
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InfluxDB client libraries provide configurable batch writing of data to {{% product-name %}}.
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@ -85,8 +49,8 @@ Code samples in this page use the [Get started home sensor sample data](/influxd
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- [Class WriteOptions](#class-writeoptions)
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- [Parameters](#parameters-4)
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- [Functions](#functions)
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- [Function write_client_options(\*\*kwargs)](#function-write_client_optionskwargs)
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- [Function flight_client_options(\*\*kwargs)](#function-flight_client_optionskwargs)
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- [Function write_client_options(**kwargs)](#function-write_client_optionskwargs)
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- [Function flight_client_options(**kwargs)](#function-flight_client_optionskwargs)
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- [Constants](#constants)
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- [Exceptions](#exceptions)
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@ -137,12 +101,17 @@ The `influxdb_client_3` module includes the following classes and functions.
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- [Writing modes](#writing-modes)
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- [InfluxDBClient3 instance methods](#influxdbclient3-instance-methods)
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- [InfluxDBClient3.write](#influxdbclient3write)
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- [InfluxDBClient3.write_file](#influxdbclient3write_file)
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- [InfluxDBClient3.write\_file](#influxdbclient3write_file)
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- [InfluxDBClient3.query](#influxdbclient3query)
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- [InfluxDBClient3.close](#influxdbclient3close)
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- [Class Point](#class-point)
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- [Class WriteOptions](#class-writeoptions)
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- [Parameters](#parameters-4)
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- [Functions](#functions)
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- [Function write\_client\_options(\*\*kwargs)](#function-write_client_optionskwargs)
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- [Function flight\_client\_options(\*\*kwargs)](#function-flight_client_optionskwargs)
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- [Constants](#constants)
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- [Exceptions](#exceptions)
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## Class InfluxDBClient3
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@ -186,10 +155,10 @@ Given that `write_client_options` isn't specified, the client uses the default [
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```python
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import os
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```
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<!--pytest-codeblocks:cont-->
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-->
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<!--pytest-codeblocks:cont-->
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```python
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from influxdb_client_3 import InfluxDBClient3
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@ -216,6 +185,7 @@ To explicitly specify synchronous mode, create a client with `write_options=SYNC
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import os
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```
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-->
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<!--pytest-codeblocks:cont-->
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```python
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@ -270,6 +240,7 @@ specify callback functions for the response status (success, error, or retryable
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import os
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```
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-->
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<!--pytest-codeblocks:cont-->
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```python
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@ -348,6 +319,7 @@ Writes a record or a list of records to InfluxDB.
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import os
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```
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-->
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<!--pytest-codeblocks:cont-->
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```python
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@ -401,6 +373,7 @@ data to InfluxDB.
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import os
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```
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-->
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<!--pytest-codeblocks:cont-->
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```python
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|
@ -534,6 +507,7 @@ and how to write data from CSV and JSON files to InfluxDB:
|
|||
import os
|
||||
```
|
||||
-->
|
||||
|
||||
<!--pytest-codeblocks:cont-->
|
||||
|
||||
```python
|
||||
|
@ -636,6 +610,7 @@ Returns all data in the query result as an Arrow table ([`pyarrow.Table`](https:
|
|||
import os
|
||||
```
|
||||
-->
|
||||
|
||||
<!--pytest-codeblocks:cont-->
|
||||
|
||||
```python
|
||||
|
@ -672,6 +647,7 @@ In the examples, replace the following:
|
|||
import os
|
||||
```
|
||||
-->
|
||||
|
||||
<!--pytest-codeblocks:cont-->
|
||||
|
||||
```python
|
||||
|
@ -698,6 +674,7 @@ print(table.select(['room', 'temp']))
|
|||
import os
|
||||
```
|
||||
-->
|
||||
|
||||
<!--pytest-codeblocks:cont-->
|
||||
|
||||
```python
|
||||
|
@ -723,6 +700,7 @@ print(pd.to_markdown())
|
|||
import os
|
||||
```
|
||||
-->
|
||||
|
||||
<!--pytest-codeblocks:cont-->
|
||||
|
||||
```python
|
||||
|
@ -750,6 +728,7 @@ print(table.schema)
|
|||
import os
|
||||
```
|
||||
-->
|
||||
|
||||
<!--pytest-codeblocks:cont-->
|
||||
|
||||
```python
|
||||
|
@ -776,6 +755,7 @@ Pass `timeout=<number of seconds>` for [`FlightCallOptions`](https://arrow.apach
|
|||
import os
|
||||
```
|
||||
-->
|
||||
|
||||
<!--pytest-codeblocks:cont-->
|
||||
|
||||
```python
|
||||
|
@ -980,3 +960,5 @@ Replace the following:
|
|||
## Exceptions
|
||||
|
||||
- `influxdb_client_3.InfluxDBError`: Exception class raised for InfluxDB-related errors
|
||||
|
||||
<a class="btn" href="https://github.com/InfluxCommunity/influxdb3-python/" target="\_blank">View the InfluxDB v3 Python client library</a>
|
||||
|
|
Loading…
Reference in New Issue