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@@ -534,143 +534,3 @@ ScalarDB Cluster is provided as a cluster consisting of one or more Pods on the
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#### Package manager
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-**[Helm](https://helm.sh/):** 3.5+
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## Analytics
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ScalarDB Analytics is a component that provides scalable analytical processing for the data managed by the Core component or managed by applications that don’t use ScalarDB. For more information, see [ScalarDB Design](./design.mdx).
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### Spark
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ScalarDB Analytics uses [Apache Spark](https://spark.apache.org/) for the query engine. It supports the following versions of Spark.
ScalarDB Analytics provides a Java library for running federated queries on Spark. It also provides a tool called ScalarDB Analytics CLI, which runs on the Java Virtual Machine (JVM).
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:::note
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Since Spark and Scala may be incompatible among different minor versions, the library offers different artifacts for various Spark and Scala versions, named in the format `scalardb-analytics-spark-all-<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-all-3.5_2.13`.
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:::
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#### Java
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The library is available on the Maven Central Repository. You need to specify the library when setting up Spark. For more details, see [Set up ScalarDB Analytics in the Spark configuration](scalardb-analytics/run-analytical-queries.mdx#set-up-scalardb-analytics-in-the-spark-configuration).
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:::note
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The ScalarDB Analytics library is built with JDK 11 to be able to be integrated with various Spark environments.
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:::
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For running ScalarDB Analytics CLI, the following JREs are verified and supported:
-**[OpenJDK](https://openjdk.org/) ([Eclipse Temurin](https://adoptium.net/temurin/), [Amazon Corretto](https://aws.amazon.com/corretto/), or [Microsoft Build of OpenJDK](https://learn.microsoft.com/en-us/java/openjdk/)):** 21
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### Databases
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ScalarDB Analytics runs on top of the following databases and their versions.
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#### ScalarDB
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ScalarDB Analytics can run analytical queries on the databases managed by ScalarDB Core and Cluster. It uses the ScalarDB Core library of the same version to interact with these databases, as shown below.
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| ScalarDB Analytics version | ScalarDB Core version |
ScalarDB Analytics requires read permissions to perform its operations on the underlying databases.
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For databases managed under ScalarDB Core and Cluster, the databases are already configured according to [Database permission requirements](requirements.mdx#database-permission-requirements), so no additional configuration is required.
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For databases **not** managed under ScalarDB Core and Cluster, make sure you register your data sources with users who have read permission on the data sources. For instructions on registering your data sources, see [Create your catalog](scalardb-analytics/create-scalardb-analytics-catalog#create-your-catalog).
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The ScalarDB Analytics server also requires permissions to manage catalog information in its database.
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Create a user with permission according to [Database permission requirements](requirements.mdx#database-permission-requirements) and set the user to the ScalarDB Analytics server configuration.
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### Kubernetes
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The server component of ScalarDB Analytics (ScalarDB Analytics server) is provided as a Pod on the Kubernetes platform in production environments. ScalarDB Analytics supports the following platforms and tools.
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