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Release 0.2.0.
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CHANGES.md

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# Release Notes
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## Next
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## 0.2.0 - 2024-07-29
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* PR #33: Add support for more primitive types, i.e., Int, Float, etc.
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README.md

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In Java and Scala applications, you can use different dependency management
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tools (e.g., Maven, sbt, or Gradle) to access the
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connector `com.google.cloud.spark.bigtable:spark-bigtable_2.12:<version>`(
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current `<version>` is `0.1.1`) and package it inside your application JAR using
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current `<version>` is `0.2.0`) and package it inside your application JAR using
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libraries such as Maven Shade Plugin. For PySpark applications, you can use
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the `--jars` flag to pass the GCS address of the connector when submitting it.
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<dependency>
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<groupId>com.google.cloud.spark.bigtable</groupId>
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<artifactId>spark-bigtable_2.12</artifactId>
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<version>0.1.1</version>
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<version>0.2.0</version>
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</dependency>
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```
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For sbt, you can add the following to your `build.sbt` file:
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```
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libraryDependencies += "com.google.cloud.spark.bigtable" % "spark-bigtable_2.12" % "0.1.1"
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libraryDependencies += "com.google.cloud.spark.bigtable" % "spark-bigtable_2.12" % "0.2.0"
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```
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Finally, you can add the following to your `build.gradle` file when using
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Gradle:
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```
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dependencies {
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implementation group: 'com.google.cloud.bigtable', name: 'spark-bigtable_2.12', version: '0.1.1'
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implementation group: 'com.google.cloud.bigtable', name: 'spark-bigtable_2.12', version: '0.2.0'
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}
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```
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pom.xml

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<groupId>com.google.cloud.spark.bigtable</groupId>
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<artifactId>spark-bigtable-connector</artifactId>
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<packaging>pom</packaging>
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<version>0.1.1</version> <!-- ${NEXT_VERSION_FLAG} -->
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<version>0.2.0</version> <!-- ${NEXT_VERSION_FLAG} -->
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<name>Spark Bigtable Connector Build Parent</name>
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<description>Parent project for all the Spark Bigtable Connector artifacts</description>
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<url>https://github.com/GoogleCloudDataproc/spark-bigtable-connector</url>

spark-bigtable_2.12-it/pom.xml

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<parent>
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<groupId>com.google.cloud.spark.bigtable</groupId>
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<artifactId>spark-bigtable-connector</artifactId>
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<version>0.1.1</version> <!-- ${NEXT_VERSION_FLAG} -->
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<version>0.2.0</version> <!-- ${NEXT_VERSION_FLAG} -->
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<relativePath>../</relativePath>
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</parent>
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<groupId>com.google.cloud.spark.bigtable</groupId>
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<artifactId>spark-bigtable_2.12-it</artifactId>
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<name>Google Bigtable - Spark Connector Integration Tests</name>
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<version>0.1.1</version> <!-- ${NEXT_VERSION_FLAG} -->
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<version>0.2.0</version> <!-- ${NEXT_VERSION_FLAG} -->
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<dependencies>
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<dependency>
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<dependency>
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<groupId>com.google.cloud.spark.bigtable</groupId>
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<artifactId>spark-bigtable_2.12</artifactId>
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<version>0.1.1</version> <!-- ${NEXT_VERSION_FLAG} -->
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<version>0.2.0</version> <!-- ${NEXT_VERSION_FLAG} -->
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</dependency>
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<dependency>

spark-bigtable_2.12/pom.xml

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<parent>
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<groupId>com.google.cloud.spark.bigtable</groupId>
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<artifactId>spark-bigtable-connector</artifactId>
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<version>0.1.1</version> <!-- ${NEXT_VERSION_FLAG} -->
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<version>0.2.0</version> <!-- ${NEXT_VERSION_FLAG} -->
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<relativePath>../</relativePath>
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</parent>
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<groupId>com.google.cloud.spark.bigtable</groupId>
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<artifactId>spark-bigtable_2.12</artifactId>
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<name>Google Bigtable - Apache Spark Connector</name>
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<version>0.1.1</version> <!-- ${NEXT_VERSION_FLAG} -->
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<version>0.2.0</version> <!-- ${NEXT_VERSION_FLAG} -->
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<dependencies>
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<dependency>

spark-bigtable_2.12/src/main/scala/com/google/cloud/spark/bigtable/BigtableDefaultSource.scala

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import org.apache.yetus.audience.InterfaceAudience
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object VersionInformation {
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val CONNECTOR_VERSION = "0.1.1" // ${NEXT_VERSION_FLAG}
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val CONNECTOR_VERSION = "0.2.0" // ${NEXT_VERSION_FLAG}
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val DATA_SOURCE_VERSION = "V1"
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val scalaVersion = util.Properties.versionNumberString
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// This remains unset only in unit tests where sqlContext is null.

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