Tejas Patil created SPARK-19618:
-----------------------------------
Summary: Inconsistency wrt max. buckets allowed from Dataframe API
vs SQL
Key: SPARK-19618
URL: https://issues.apache.org/jira/browse/SPARK-19618
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.1.0
Reporter: Tejas Patil
High number of buckets is allowed while creating a table via SQL query:
{code}
sparkSession.sql("""
CREATE TABLE bucketed_table(col1 INT) USING parquet
CLUSTERED BY (col1) SORTED BY (col1) INTO 147483647 BUCKETS
""")
sparkSession.sql("DESC FORMATTED bucketed_table").collect.foreach(println)
....
[Num Buckets:,147483647,]
[Bucket Columns:,[col1],]
[Sort Columns:,[col1],]
....
{code}
Trying the same via dataframe API does not work:
{code}
> df.write.format("orc").bucketBy(147483647,
> "j","k").sortBy("j","k").saveAsTable("bucketed_table")
java.lang.IllegalArgumentException: requirement failed: Bucket number must be
greater than 0 and less than 100000.
at scala.Predef$.require(Predef.scala:224)
at
org.apache.spark.sql.DataFrameWriter$$anonfun$getBucketSpec$2.apply(DataFrameWriter.scala:293)
at
org.apache.spark.sql.DataFrameWriter$$anonfun$getBucketSpec$2.apply(DataFrameWriter.scala:291)
at scala.Option.map(Option.scala:146)
at
org.apache.spark.sql.DataFrameWriter.getBucketSpec(DataFrameWriter.scala:291)
at org.apache.spark.sql.DataFrameWriter.createTable(DataFrameWriter.scala:429)
at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:410)
at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:365)
... 50 elided
{code}
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
