HanCheol Cho created SPARK-21186:
------------------------------------
Summary: PySpark with --packages fails to import library due to
lack of pythonpath to .ivy2/jars/*.jar
Key: SPARK-21186
URL: https://issues.apache.org/jira/browse/SPARK-21186
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 2.2.0
Environment: Spark is downloaded and compiled by myself.
Spark: 2.2.0-SNAPSHOT
Python: Anaconda Python2 (on client and workers)
Reporter: HanCheol Cho
Priority: Minor
I experienced "ImportError: No module named sparkdl" exception while trying to
use databricks' spark-deep-learning (sparkdl) in PySpark.
The package is included with --packages option as below.
{code}
$ pyspark --packages databricks:spark-deep-learning:0.1.0-spark2.1-s_2.11
{code}
The problem was that PySpark fails to detect this package's jar files located
in .ivy2/jars/ directory.
I could circumvent this issue by manually adding this path to PYTHONPATH after
launching PySpark as follows.
{code}
>>> import sys, glob, os
>>> sys.path.extend(glob.glob(os.path.join(os.path.expanduser("~"),
>>> ".ivy2/jars/*.jar")))
>>>
>>> import sparkdl
Using TensorFlow backend.
>>> my_images = sparkdl.readImages("data/flower_photos/daisy/*.jpg")
>>> my_images.show()
+--------------------+--------------------+
| filePath| image|
+--------------------+--------------------+
|hdfs://mycluster/...|[RGB,263,320,3,[B...|
|hdfs://mycluster/...|[RGB,313,500,3,[B...|
|hdfs://mycluster/...|[RGB,215,320,3,[B...|
...
{code}
I think that it may be better to add ivy2/jar directory path to PYTHONPATH
while launching PySpark.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
