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6 changes: 6 additions & 0 deletions docs/scalardb-analytics-spark/README.mdx
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import WarningLicenseKeyContact from '/src/components/en-us/_warning-license-key-contact.mdx';

:::warning

This version of ScalarDB Analytics with Spark was in private preview. Please use version 3.14 or later instead.

:::

ScalarDB, as a universal transaction manager, targets mainly transactional workloads and therefore supports limited subsets of relational queries.

ScalarDB Analytics with Spark extends the functionality of ScalarDB to process analytical queries on ScalarDB-managed data by using Apache Spark and Spark SQL.
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6 changes: 6 additions & 0 deletions docs/scalardb-analytics-spark/configuration.mdx
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import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';

:::warning

This version of ScalarDB Analytics with Spark was in private preview. Please use version 3.14 or later instead.

:::

There are two ways to configure ScalarDB Analytics with Spark:

- By configuring the properties in `spark.conf`
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6 changes: 6 additions & 0 deletions docs/scalardb-analytics-spark/getting-started.mdx
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import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';

:::warning

This version of ScalarDB Analytics with Spark was in private preview. Please use version 3.14 or later instead.

:::

This guide explains how to get started with ScalarDB Analytics with Spark.

## Prerequisites
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6 changes: 6 additions & 0 deletions docs/scalardb-analytics-spark/version-compatibility.mdx
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# Version Compatibility of ScalarDB Analytics with Spark

:::warning

This version of ScalarDB Analytics with Spark was in private preview. Please use version 3.14 or later instead.

:::

Since Spark and Scala may be incompatible among different minor versions, ScalarDB Analytics with Spark offers different artifacts for various Spark and Scala versions, named in the format `scalardb-analytics-spark-<SPARK_VERSION>_<SCALA_VERSION>`. Make sure that you select the artifact matching the Spark and Scala versions you're using. For example, if you're using Spark 3.5 with Scala 2.13, you must specify `scalardb-analytics-spark-3.5_2.13`.

Regarding the Java version, ScalarDB Analytics with Spark supports Java 8 or later.
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