Reputation: 3938
I searched and viewed a looot of articles online and finally found a possible solution in:
I can't seem to get --py-files on Spark to work
I followed the most voted answer in that link but it is not working for me. And that topic is 3 years old and I think I should submit a new question.
So what I did is like in that answer:
pip install -t dependencies -r requirements.txt
cd dependencies
zip -r ../dependencies.zip .
And then upload it with other python files to my s3 bucket.
my_job.py
, add the following line to add my python dependencies.zip to PYTHONPATH:sc.addPyFile("dependencies.zip")
Note that this line is added at the very beginning of my python code.
curl -X POST --data '{"file": "s3://my-bucket/src/my_job.py", "pyFiles": ["s3://my-bucket/src/global_settings.py", "s3://my-bucket/src/sys_init.py", "s3://my-bucket/src/dependencies.zip"]}' -H "Content-Type: application/json" http://ec2-1-23-456-789.compute-1.amazonaws.com:8998/batches
Now, from the log of Livy, I got a Java exception:
java.io.FileNotFoundException: File file:/dependencies.zip does not exist
The full error trace is like this:
Traceback (most recent call last):
File "/mnt/tmp/spark-bfbaa559-69b8-48cb-9287-c30f73ab6d4a/my_job.py", line 1, in <module>
from global_settings import *
File "/mnt/tmp/spark-bfbaa559-69b8-48cb-9287-c30f73ab6d4a/global_settings.py", line 28, in <module>
sc.addFile('dependencies.zip')
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/context.py", line 898, in addFile
File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
File "/usr/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o53.addFile.
: java.io.FileNotFoundException: File file:/dependencies.zip does not exist
at org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:640)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:866)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:630)
at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:452)
at org.apache.spark.SparkContext.addFile(SparkContext.scala:1544)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
Totally have no idea on why spark cannot find dependencies.zip
while it can find out the other two python files global_settings.py
and sys_init.py
.
Also note that the dependencies.zip
is 48 MB. Does the file size matter? I don't think it is a problem for AWS EMR to read a 48 MB file from AWS S3. They are in the same region and under the same VPC.
And my requirements.txt:
pandas
sqlalchemy
boto3
Please help. Thanks.
Upvotes: 3
Views: 2221
Reputation: 1054
The files, zips, eggs mentioned as part of pyFiles
in the curl call will set the spark config spark.submit.pyFiles
.
Spark takes cares of downloading the files and add adding the files/zips to PYTHONPATH
.
Use don't need to add the file add the files again using sc. addPyFile(<>)
.(The above code is trying to look for filename dependencies in the default FS which in your case is file:// and Spark is not able to find it).
We can remove the addPyFile
call, and try to import a class in the zip file specified to confirm if its part of the PYTHONPATH
.
Upvotes: 1