Hi all, Since Spark 3.2, we have supported Hadoop 3.3.1 now, but its profile name is *hadoop-3.2* (and *hadoop-2.7*) that is not correct. So we made a change in https://github.com/apache/spark/pull/34715 Starting from Spark 3.3, we use hadoop profile *hadoop-2* and *hadoop-3 *, and default hadoop profile is hadoop-3. Profile changes
*hadoop-2.7* changed to *hadoop-2* *hadoop-3.2* changed to *hadoop-3* Release tar file Spark-3.3.0 with profile hadoop-3: *spark-3.3.0-bin-hadoop3.tgz* Spark-3.3.0 with profile hadoop-2: *spark-3.3.0-bin-hadoop2.tgz* For Spark 3.2.0, the release tar file was, for example, *spark-3.2.0-bin-hadoop3.2.tgz*. Pip install option changes For PySpark with/without a specific Hadoop version, you can install it by using PYSPARK_HADOOP_VERSION environment variables as below (Hadoop 3): PYSPARK_HADOOP_VERSION=3 pip install pyspark For Hadoop 2: PYSPARK_HADOOP_VERSION=2 pip install pyspark Supported values in PYSPARK_HADOOP_VERSION are now: - without: Spark pre-built with user-provided Apache Hadoop - 2: Spark pre-built for Apache Hadoop 2. - 3: Spark pre-built for Apache Hadoop 3.3 and later (default) Building Spark and Specifying the Hadoop Version <https://spark.apache.org/docs/latest/building-spark.html#specifying-the-hadoop-version-and-enabling-yarn> You can specify the exact version of Hadoop to compile against through the hadoop.version property. Example: ./build/mvn -Pyarn -Dhadoop.version=3.3.0 -DskipTests clean package or you can specify *hadoop-3* profile ./build/mvn -Pyarn -Phadoop-3 -Dhadoop.version=3.3.0 -DskipTests clean package If you want to build with Hadoop 2.x, enable *hadoop-2* profile: ./build/mvn -Phadoop-2 -Pyarn -Dhadoop.version=2.8.5 -DskipTests clean package Notes In the current master, it will use the default Hadoop 3 if you continue to use -Phadoop-2.7 and -Phadoop-3.2 to build Spark because Maven or SBT will just warn and ignore these non-existent profiles. Please change profiles to -Phadoop-2 or -Phadoop-3.
