CODEWITHSUNDEEP
apache-sparkparsinghivehiveql
Bor
Bor

Reputation: 793

Fixing good Hive SQL query that throws parsing exception in Spark SQL

Having the following query executed in Hive works fine:

ALTER TABLE schema.the_table 
DROP IF EXISTS PARTITION (PARTITION_DATE<'2020-03-22')

Partition date is type String, but that's OK. The goal is to drop partitions older than particular date.

On the other hand the same query but used in Spark(2.1):

val spark = SparkSession.builder.enableHiveSupport.getOrCreate
spark.sql("""
ALTER TABLE schema.the_table 
DROP IF EXISTS PARTITION (PARTITION_DATE<'2020-03-22')
""")

Throws parsing exception

User class threw exception: org.apache.spark.sql.catalyst.parser.ParseException: mismatched input '<' expecting {')', ','}(line 1, pos 82)

== SQL == ALTER TABLE schema.the_table DROP IF EXISTS PARTITION (PARTITION_DATE<'2020-03-22')

The question is where I can find the characters that must be escaped in Spark SQL and is there any way to write the same query in Spark SQL as in Hive?

Upvotes: 1

Views: 468

Answers (1)

Shrey Jakhmola
Shrey Jakhmola

Reputation: 532

Hive partitions cannot be dropped using spark.sql as of Spark version 3.0 due to a known bug and it is currently being targeted to be fixed in version 3.2.0. Check the JIRA Spark-JIRA.

Upvotes: 3

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