@@ -18,7 +18,7 @@ You can access the connector in two different ways:
1818In Java and Scala applications, you can use different dependency management
1919tools (e.g., Maven, sbt, or Gradle) to access the
2020connector ` com.google.cloud.spark.bigtable:spark-bigtable_2.12:<version> ` (
21- current ` <version> ` is ` 0.1.1 ` ) and package it inside your application JAR using
21+ current ` <version> ` is ` 0.2.0 ` ) and package it inside your application JAR using
2222libraries such as Maven Shade Plugin. For PySpark applications, you can use
2323the ` --jars ` flag to pass the GCS address of the connector when submitting it.
2424
@@ -28,22 +28,22 @@ For Maven, you can add the following snippet to your `pom.xml` file:
2828<dependency >
2929 <groupId >com.google.cloud.spark.bigtable</groupId >
3030 <artifactId >spark-bigtable_2.12</artifactId >
31- <version >0.1.1 </version >
31+ <version >0.2.0 </version >
3232</dependency >
3333```
3434
3535For sbt, you can add the following to your ` build.sbt ` file:
3636
3737```
38- libraryDependencies += "com.google.cloud.spark.bigtable" % "spark-bigtable_2.12" % "0.1.1 "
38+ libraryDependencies += "com.google.cloud.spark.bigtable" % "spark-bigtable_2.12" % "0.2.0 "
3939```
4040
4141Finally, you can add the following to your ` build.gradle ` file when using
4242Gradle:
4343
4444```
4545dependencies {
46- implementation group: 'com.google.cloud.bigtable', name: 'spark-bigtable_2.12', version: '0.1.1 '
46+ implementation group: 'com.google.cloud.bigtable', name: 'spark-bigtable_2.12', version: '0.2.0 '
4747}
4848```
4949
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