[jira] [Updated] (SPARK-10562) .partitionBy() creates the metastore partition columns in all lowercase, but persists the data path as MixedCase resulting in an error when the data is later attempted to query.

["Jason Pohl (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10562?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jason Pohl updated SPARK-10562:
-------------------------------
    Attachment: MixedCasePartitionBy.dbc

Databricks Notebook with code

> .partitionBy() creates the metastore partition columns in all lowercase, but persists the data path as MixedCase resulting in an error when the data is later attempted to query.
> ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-10562
>                 URL: https://issues.apache.org/jira/browse/SPARK-10562
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.4.1
>            Reporter: Jason Pohl
>         Attachments: MixedCasePartitionBy.dbc
>
>
> When using DataFrame.write.partitionBy().saveAsTable() it creates the partiton by columns in all lowercase in the meta-store.  However, it writes the data to the filesystem using mixed-case.
> This causes an error when running a select against the table.
> --------------
> from pyspark.sql import Row
> # Create a data frame with mixed case column names
> myRDD = sc.parallelize([Row(Name="John Terry", Goals=1, Year=2015),
>                        Row(Name="Frank Lampard", Goals=15, Year=2012)])
> myDF = sqlContext.createDataFrame(myRDD)
> # Write this data out to a parquet file and partition by the Year (which is a mixedCase name)
> myDF.write.partitionBy("Year").saveAsTable("chelsea_goals")
> %sql show create table chelsea_goals;
> --The metastore is showwing a partition column name of all lowercase "year"
> # Verify that the data is written with appropriate partitions
> display(dbutils.fs.ls("/user/hive/warehouse/chelsea_goals"))
> %sql
> --Now try to run a query against this table
> select * from chelsea_goals
> Error in SQL statement: UncheckedExecutionException: java.lang.RuntimeException: Partition column year not found in schema StructType(StructField(Goals,LongType,true), StructField(Name,StringType,true), StructField(Year,LongType,true))
> # Now lets try this again using a lowercase column name
> myRDD2 = sc.parallelize([Row(Name="John Terry", Goals=1, year=2015),
>                          Row(Name="Frank Lampard", Goals=15, year=2012)])
> myDF2 = sqlContext.createDataFrame(myRDD2)
> myDF2.write.partitionBy("year").saveAsTable("chelsea_goals2")
> %sql select * from chelsea_goals2;
> --Now everything works



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