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Add ScalarDB 3.15 docs (#980)
* Make 3.15 latest version * Add 3.14 to version dropdown * Create version-3.14.json * Move doc to version 3.14 folder * Create index.mdx * Create 3.15.tsx * Add 3.14 support end dates * Create release-support-policy.mdx * Create release-notes.mdx * Add 3.15 docs * Add new 3.15 docs * Update 3.15
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‎docs/_develop-run-analytical-queries-overview.mdx‎

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tags:
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- Community
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- Enterprise Option
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- Public Preview
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displayed_sidebar: docsEnglish
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---
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‎docs/api-guide.mdx‎

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```java
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// Import the table "ns.tbl". If the table is already managed by ScalarDB, the target table does not
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// exist, or the table does not meet the requirements of the ScalarDB table, an exception will be thrown.
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admin.importTable("ns", "tbl", options);
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admin.importTable("ns", "tbl", options, overrideColumnsType);
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```
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:::warning
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// Get the BLOB value of a column as a `byte` array.
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byte[] blobValueAsBytes = result.getBlobAsBytes("<COLUMN_NAME>");
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// Get the DATE value of a column as a `LocalDate`.
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LocalDate dateValue = result.getDate("<COLUMN_NAME>");
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// Get the TIME value of a column as a `LocalTime`.
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LocalTime timeValue = result.getTime("<COLUMN_NAME>");
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// Get the TIMESTAMP value of a column as a `LocalDateTime`.
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LocalDateTime timestampValue = result.getTimestamp("<COLUMN_NAME>");
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// Get the TIMESTAMPTZ value of a column as a `Instant`.
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Instant timestampTZValue = result.getTimestampTZ("<COLUMN_NAME>");
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```
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And if you need to check if a value of a column is null, you can use the `isNull("<COLUMN_NAME>")` method.
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boolean isNull = result.isNull("<COLUMN_NAME>");
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```
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For more details, see the `Result` page in the [Javadoc](https://javadoc.io/doc/com.scalar-labs/scalardb/3.14.1/index.html) of the version of ScalarDB that you're using.
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For more details, see the `Result` page in the [Javadoc](https://javadoc.io/doc/com.scalar-labs/scalardb/3.15.1/index.html) of the version of ScalarDB that you're using.
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###### Execute `Get` by using a secondary index
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‎docs/configurations.mdx‎

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<TabItem value="JDBC_databases" label="JDBC databases" default>
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The following configurations are available for JDBC databases:
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| Name | Description | Default |
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|-----------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------|
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| `scalar.db.storage` | `jdbc` must be specified. | - |
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| `scalar.db.contact_points` | JDBC connection URL. | |
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| `scalar.db.username` | Username to access the database. | |
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| `scalar.db.password` | Password to access the database. | |
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| `scalar.db.jdbc.connection_pool.min_idle` | Minimum number of idle connections in the connection pool. | `20` |
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| `scalar.db.jdbc.connection_pool.max_idle` | Maximum number of connections that can remain idle in the connection pool. | `50` |
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| `scalar.db.jdbc.connection_pool.max_total` | Maximum total number of idle and borrowed connections that can be active at the same time for the connection pool. Use a negative value for no limit. | `100` |
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| `scalar.db.jdbc.prepared_statements_pool.enabled` | Setting this property to `true` enables prepared-statement pooling. | `false` |
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| `scalar.db.jdbc.prepared_statements_pool.max_open` | Maximum number of open statements that can be allocated from the statement pool at the same time. Use a negative value for no limit. | `-1` |
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| `scalar.db.jdbc.isolation_level` | Isolation level for JDBC. `READ_UNCOMMITTED`, `READ_COMMITTED`, `REPEATABLE_READ`, or `SERIALIZABLE` can be specified. | Underlying-database specific |
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| `scalar.db.jdbc.table_metadata.schema` | Schema name for the table metadata used for ScalarDB. | `scalardb` |
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| `scalar.db.jdbc.table_metadata.connection_pool.min_idle` | Minimum number of idle connections in the connection pool for the table metadata. | `5` |
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| `scalar.db.jdbc.table_metadata.connection_pool.max_idle` | Maximum number of connections that can remain idle in the connection pool for the table metadata. | `10` |
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| `scalar.db.jdbc.table_metadata.connection_pool.max_total` | Maximum total number of idle and borrowed connections that can be active at the same time for the connection pool for the table metadata. Use a negative value for no limit. | `25` |
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| `scalar.db.jdbc.admin.connection_pool.min_idle` | Minimum number of idle connections in the connection pool for admin. | `5` |
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| `scalar.db.jdbc.admin.connection_pool.max_idle` | Maximum number of connections that can remain idle in the connection pool for admin. | `10` |
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| `scalar.db.jdbc.admin.connection_pool.max_total` | Maximum total number of idle and borrowed connections that can be active at the same time for the connection pool for admin. Use a negative value for no limit. | `25` |
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| Name | Description | Default |
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|------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------|
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| `scalar.db.storage` | `jdbc` must be specified. | - |
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| `scalar.db.contact_points` | JDBC connection URL. | |
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| `scalar.db.username` | Username to access the database. | |
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| `scalar.db.password` | Password to access the database. | |
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| `scalar.db.jdbc.connection_pool.min_idle` | Minimum number of idle connections in the connection pool. | `20` |
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| `scalar.db.jdbc.connection_pool.max_idle` | Maximum number of connections that can remain idle in the connection pool. | `50` |
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| `scalar.db.jdbc.connection_pool.max_total` | Maximum total number of idle and borrowed connections that can be active at the same time for the connection pool. Use a negative value for no limit. | `100` |
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| `scalar.db.jdbc.prepared_statements_pool.enabled` | Setting this property to `true` enables prepared-statement pooling. | `false` |
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| `scalar.db.jdbc.prepared_statements_pool.max_open` | Maximum number of open statements that can be allocated from the statement pool at the same time. Use a negative value for no limit. | `-1` |
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| `scalar.db.jdbc.isolation_level` | Isolation level for JDBC. `READ_UNCOMMITTED`, `READ_COMMITTED`, `REPEATABLE_READ`, or `SERIALIZABLE` can be specified. | Underlying-database specific |
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| `scalar.db.jdbc.table_metadata.schema` | Schema name for the table metadata used for ScalarDB. | `scalardb` |
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| `scalar.db.jdbc.table_metadata.connection_pool.min_idle` | Minimum number of idle connections in the connection pool for the table metadata. | `5` |
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| `scalar.db.jdbc.table_metadata.connection_pool.max_idle` | Maximum number of connections that can remain idle in the connection pool for the table metadata. | `10` |
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| `scalar.db.jdbc.table_metadata.connection_pool.max_total` | Maximum total number of idle and borrowed connections that can be active at the same time for the connection pool for the table metadata. Use a negative value for no limit. | `25` |
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| `scalar.db.jdbc.admin.connection_pool.min_idle` | Minimum number of idle connections in the connection pool for admin. | `5` |
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| `scalar.db.jdbc.admin.connection_pool.max_idle` | Maximum number of connections that can remain idle in the connection pool for admin. | `10` |
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| `scalar.db.jdbc.admin.connection_pool.max_total` | Maximum total number of idle and borrowed connections that can be active at the same time for the connection pool for admin. Use a negative value for no limit. | `25` |
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| `scalar.db.jdbc.oracle.time_column.default_date_component` | Value of the date component used for storing `TIME` data in Oracle. Since Oracle has no data type to only store a time without a date component, ScalarDB stores `TIME` data with the same date component value for ease of comparison and sorting. | `1970-01-01` |
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:::note
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#### SQLite3

‎docs/index.mdx‎

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# ScalarDB
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import { CardRowAbout, CardRowQuickstart, CardRowDevelop, CardRowDeploy, CardRowMigrate, CardRowManage, CardRowReference } from '/src/components/Cards/3.14';
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import { CardRowAbout, CardRowQuickstart, CardRowDevelop, CardRowDeploy, CardRowMigrate, CardRowManage, CardRowReference } from '/src/components/Cards/3.15';
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ScalarDB is a cross-database HTAP engine. It achieves ACID transactions and real-time analytics across diverse databases to simplify the complexity of managing multiple databases.
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‎docs/quickstart-overview.mdx‎

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:::note
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- ScalarDB Analytics with PostgreSQL is available only under the Apache 2 License and doesn't require a commercial license.
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- ScalarDB Analytics with Spark is in public preview.
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:::

‎docs/quickstart-scalardb-analytics-overview.mdx‎

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tags:
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- Community
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- Enterprise Option
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- Public Preview
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displayed_sidebar: docsEnglish
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---
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