Eric Luo created LIVY-859:
-----------------------------
Summary: Start PySpark application Failed with Python 3.7.6
Key: LIVY-859
URL: https://issues.apache.org/jira/browse/LIVY-859
Project: Livy
Issue Type: Question
Environment: CDH: 6.3.2
Spark: 2.4.0
Python: 3.7.6
Livy: 0.7.0-incubating
Reporter: Eric Luo
I have two CDH clusters (stage and prod) with the same environment, the same
Livy service installed on them, a Python 3.7 environment configured via
Ansible, and I write PySpark by calling Livy via sparkmagic in jupyter-lab.
code in jupyter-lab, the stage environment works fine, but the prod environment
gives an error.
Error log:
{code:java}
21/05/20 14:43:45 INFO driver.SparkEntries: Created Spark session (with Hive
support).
21/05/20 14:43:50 ERROR repl.PythonInterpreter: Process has died with 134
21/05/20 14:43:50 ERROR repl.PythonInterpreter: Fatal Python error:
initfsencoding: unable to load the file system codec
ModuleNotFoundError: No module named 'encodings'{code}
On a prod environment machine, I actually have PYSPARK_PYTHON
(/opt/miniconda/bin/python) configured to ``import encodings``, and I can run
pyspark SHELL directly without any problems.
My environment configuration.
CDH: 6.3.2
Spark: 2.4.0
Python: 3.7.6
In CDH's "Spark Service Advanced Configuration Snippet (Safety Valve) for
spark-conf/spark-env.sh" configuration, I configured PYSPARK_PYTHON and
PYSPARK_ DRIVER_PYTHON
```
export PYSPARK_PYTHON=${PYSPARK_PYTHON:-/opt/miniconda/bin/python}
export PYSPARK_DRIVER_PYTHON=${PYSPARK_DRIVER_PYTHON:-/opt/miniconda/bin/python}
```
livy-env.sh also configures PYSPARK_PYTHON and PYSPARK_DRIVER_PYTHON
```
PYSPARK_PYTHON=/opt/miniconda/bin/python
PYSPARK_DRIVER_PYTHON=/opt/miniconda/bin/python
JAVA_HOME=/usr/java/jdk1.8.0_181-cloudera/
HADOOP_HOME=/opt/cloudera/parcels/CDH/lib/hadoop
HADOOP_CONF_DIR=/etc/hadoop/conf
SPARK_HOME=/opt/cloudera/parcels/CDH/lib/spark
```
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