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I want to add a column to a spark dataframe which has been registered as a table. This column needs to have an auto incrementing long. 

df = spark.sql(query) df.createOrReplaceTempView("user_stories") df = spark.sql("ALTER TABLE user_stories ADD COLUMN rank int AUTO_INCREMENT") df.show(5)

This throws the following error,

Py4JJavaError: An error occurred while calling o72.sql. : org.apache.spark.sql.catalyst.parser.ParseException: no viable alternative at input 'ALTER TABLE user_stories ADD COLUMN'(line 1, pos 29) == SQL == ALTER TABLE user_stories ADD COLUMN rank int AUTO_INCREMENT -----------------------------^^^

What am I missing here?

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  • How's this question a duplicate, I need an auto increment value in the new column, I don't see that addressed in the question you've cited. Commented Jul 25, 2018 at 19:16
  • There is no auto increment in spark. What are you trying to do? Commented Jul 25, 2018 at 19:25

1 Answer 1

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if you want to add new incremental column to DF, you could do in following ways. 

df.show() +-------+ | name| +-------+ |gaurnag| +-------+ from pyspark.sql.functions import monotonically_increasing_id new_df = df.withColumn("id", monotonically_increasing_id()) new_df.show() +-------+---+ | name| id| +-------+---+ |gaurnag| 0| +-------+---+
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