AUTO: Sync ScalarDB docs in English to docs site repo

Author: josh-wong

versioned_docs/version-3.12/scalardb-analytics-spark/README.mdx

@@ -8,6 +8,12 @@ tags:
 
 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.

versioned_docs/version-3.12/scalardb-analytics-spark/configuration.mdx

@@ -9,6 +9,12 @@ tags:
 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`

versioned_docs/version-3.12/scalardb-analytics-spark/getting-started.mdx

@@ -9,6 +9,12 @@ tags:
 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

versioned_docs/version-3.12/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.