Category : pyspark

So I am trying to do this demo that has the steps laid out on this github page: https://github.com/garystafford/pyspark-setup-demo There’s also an article that goes along with it that goes into detail on each of the steps on the github page: https://programmaticponderings.com/2019/12/06/getting-started-with-data-analytics-using-jupyter-notebooks-pyspark-and-docker/ So I am on step 6 of the setup where I’m supposed to ..

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java.lang.NullPointerException at java.base/java.lang.Thread.run(Thread.java:829) WARN MetricsSystem: Stopping a MetricsSystem that is not running Exception in thread Thread-5: Error Traceback (most recent call last): File "/opt/conda/lib/python3.9/threading.py", line 973, in _bootstrap_inner self.run() File "/opt/conda/lib/python3.9/threading.py", line 910, in run self._target(*self._args, **self._kwargs) File "/home/jovyan/pySpark.py", line 23, in receive_stream sc = SparkContext(appName="StreamTwitter") File "/opt/conda/lib/python3.9/site-packages/pyspark/context.py", line 146, in __init__ self._do_init(master, appName, sparkHome, ..

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I’m trying to run spark in a docker container from a python app which is located in another container: version: ‘3’ services: spark-master: image: docker.io/bitnami/spark:2 environment: – SPARK_MODE=master – SPARK_RPC_AUTHENTICATION_ENABLED=no – SPARK_RPC_ENCRYPTION_ENABLED=no – SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no – SPARK_SSL_ENABLED=no volumes: – type: bind source: ./conf/log4j.properties target: /opt/bitnami/spark/conf/log4j.properties ports: – ‘8080:8080’ – ‘7077:7077’ networks: – spark container_name: spark spark-worker-1: ..

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I am saving csv files as stream with pyspark. When I saving files, I am using output mode is ‘overwrite’ and there is not any problem. But when I want to containerize my spark app is giving an error. I add code and the error below: df.write.format("csv").mode("overwrite") java.io.IOException: Unable to clear output directory file:/app/files prior ..

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