Ah, looks like it's this change: https://github.com/apache/spark/commit/b3417b731d4e323398a0d7ec6e86405f4464f4f9#diff-3b5463566251d5b09fd328738a9e9bc5
It seems strange that by default Spark doesn't build with Hive but by default PySpark requires it... This might also be a behavior change to PySpark users that build Spark without Hive. The old behavior is "fall back to non-hive support" and the new behavior is "program won't start". On Thu, Jun 14, 2018 at 11:51 AM, Sean Owen <sro...@gmail.com> wrote: > I think you would have to build with the 'hive' profile? but if so that > would have been true for a while now. > > > On Thu, Jun 14, 2018 at 10:38 AM Li Jin <ice.xell...@gmail.com> wrote: > >> Hey all, >> >> I just did a clean checkout of github.com/apache/spark but failed to >> start PySpark, this is what I did: >> >> git clone g...@github.com:apache/spark.git; cd spark; build/sbt package; >> bin/pyspark >> >> And got this exception: >> >> (spark-dev) Lis-MacBook-Pro:spark icexelloss$ bin/pyspark >> >> Python 3.6.3 |Anaconda, Inc.| (default, Nov 8 2017, 18:10:31) >> >> [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)] on darwin >> >> Type "help", "copyright", "credits" or "license" for more information. >> >> 18/06/14 11:34:14 WARN NativeCodeLoader: Unable to load native-hadoop >> library for your platform... using builtin-java classes where applicable >> >> Using Spark's default log4j profile: org/apache/spark/log4j- >> defaults.properties >> >> Setting default log level to "WARN". >> >> To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use >> setLogLevel(newLevel). >> >> /Users/icexelloss/workspace/upstream2/spark/python/pyspark/shell.py:45: >> UserWarning: Failed to initialize Spark session. >> >> warnings.warn("Failed to initialize Spark session.") >> >> Traceback (most recent call last): >> >> File "/Users/icexelloss/workspace/upstream2/spark/python/pyspark/shell.py", >> line 41, in <module> >> >> spark = SparkSession._create_shell_session() >> >> File >> "/Users/icexelloss/workspace/upstream2/spark/python/pyspark/sql/session.py", >> line 564, in _create_shell_session >> >> SparkContext._jvm.org.apache.hadoop.hive.conf.HiveConf() >> >> TypeError: 'JavaPackage' object is not callable >> >> I also tried to delete hadoop deps from my ivy2 cache and reinstall them >> but no luck. I wonder: >> >> >> 1. I have not seen this before, could this be caused by recent change >> to head? >> 2. Am I doing something wrong in the build process? >> >> >> Thanks much! >> Li >> >>