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CrateDB JDBC Driver
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###################
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.. rubric:: Table of contents
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.. contents::
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:local:
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:depth: 1
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************
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Introduction
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************
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A `JDBC`_ driver for `CrateDB`_, based on the `PostgreSQL JDBC Driver`_.
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It can be used with CrateDB version 0.38.0 and newer.
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This is a `JDBC Type 4 driver`_, adhering to the `JDBC 4.1 specification`_. It
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is written in pure Java, and communicates with the database using the
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`PostgreSQL Wire Protocol`_.
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`JDBC`_ is a standard Java API that provides common interfaces for accessing
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databases in Java.
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A `JDBC`_ driver for `CrateDB`_, based on the `PostgreSQL JDBC Driver`_ which is adhering to the `JDBC 4.1 specification`_. It is written in pure Java, and communicates with the database using the `PostgreSQL Wire Protocol`_.
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.. _synopsis:
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Synopsis
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********
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Connect to CrateDB instance running on ``localhost``.
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Connect to CrateDB instance running on ``localhost``:
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.. code-block:: java
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The CrateDB JDBC driver library is an open source project, and is
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managed on GitHub. Every kind of contribution, feedback, or patch, is much
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welcome. `Create an issue`_ or submit a patch if you think we should include a
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new feature, or to report or fix a bug.
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Development
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===========
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In order to setup a development environment on your workstation, please head
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over to the `development sandbox`_ documentation. When you see the software
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tests succeed, you should be ready to start hacking.
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.. SEEALSO::
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License
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=======
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The project is licensed under the terms of the Apache 2.0 license, like
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`CrateDB itself <CrateDB source_>`_, see `LICENSE`_.
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The CrateDB JDBC driver is an open source project and is `hosted on
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GitHub`_. Every kind of contribution, feedback, or patch, is much
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welcome!
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.. _Apache Kafka, Apache Flink, and CrateDB: https://github.com/crate/cratedb-examples/tree/main/framework/flink
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.. _Basic example for connecting to CrateDB and CrateDB Cloud using JDBC: https://github.com/crate/cratedb-examples/tree/main/by-language/java-jdbc
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.. _Build a data ingestion pipeline using Kafka, Flink, and CrateDB: https://dev.to/crate/build-a-data-ingestion-pipeline-using-kafka-flink-and-cratedb-1h5o
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