Are there objection to restore the behavior for PySpark users? I am happy to submit a patch. On Thu, Jun 14, 2018 at 12:15 PM Reynold Xin <r...@databricks.com> wrote:
> The behavior change is not good... > > On Thu, Jun 14, 2018 at 9:05 AM Li Jin <ice.xell...@gmail.com> wrote: > >> 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 >>>> >>>> >>
