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Posted to issues@spark.apache.org by "Mark Hamilton (JIRA)" <ji...@apache.org> on 2019/03/21 17:59:00 UTC

[jira] [Created] (SPARK-27234) Continuous Streaming does not support python UDFs

Mark Hamilton created SPARK-27234:
-------------------------------------

             Summary: Continuous Streaming does not support python UDFs
                 Key: SPARK-27234
                 URL: https://issues.apache.org/jira/browse/SPARK-27234
             Project: Spark
          Issue Type: Bug
          Components: Structured Streaming
    Affects Versions: 2.4.0
         Environment: Azure Databricks 5.1
            Reporter: Mark Hamilton


Heres a repro

get_p_eng = udf(lambda p: "foo")

df = spark \
 .readStream \
 .format("rate") \
 .load()\
 .withColumn("p_eng", get_p_eng(col("value")))\
 .makeReply("p_eng")

df.isStreaming # Returns True for DataFrames that have streaming sources

df.printSchema

# Read all the csv files written atomically in a directory
df.writeStream.format("console").trigger(continuous="1 second").start()



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