[SPARK-9342] Spark SQL views don't work

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 1.3.1
• Fix Version/s: 2.0.0
• Component/s: SQL
• Labels: sql views

Environment

Ubuntu on AWS

• Assignee: Xiao Li
• Reporter: Simeon Simeonov
• Created: 25/Jul/15 18:07
• Updated: 17/Oct/16 15:09
• Resolved: 08/Oct/16 07:37

Description

The Spark SQL documentation's section on Hive support claims that views are supported. However, even basic view operations fail with exceptions related to column resolution.

For example,

// The test table has columns category & num
ctx.sql("create view view1 as select * from test")
ctx.table("view1").printSchema

generates

org.apache.spark.sql.AnalysisException: cannot resolve 'test.col' given input columns category, num; line 1 pos 7
	at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
        ...

You can see a standalone reproducible example with full spark-shell output demonstrating the problem at https://gist.github.com/ssimeonov/57164f9d6b928ba0cfde

The problem is that ctx.sql("create view view1 as select * from test") puts the following in the metastore including cols:[FieldSchema(name:col, type:string, comment:null)] even though the test table has category and num columns:

15/07/26 15:47:28 INFO HiveMetaStore: 0: create_table: Table(tableName:view1, dbName:default, owner:ubuntu, createTime:1437925648, lastAccessTime:0, retention:0, sd:StorageDescriptor(cols:[FieldSchema(name:col, type:string, comment:null)], location:null, inputFormat:org.apache.hadoop.mapred.SequenceFileInputFormat, outputFormat:org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat, compressed:false, numBuckets:-1, serdeInfo:SerDeInfo(name:null, serializationLib:null, parameters:{}), bucketCols:[], sortCols:[], parameters:{}, skewedInfo:SkewedInfo(skewedColNames:[], skewedColValues:[], skewedColValueLocationMaps:{})), partitionKeys:[], parameters:{}, viewOriginalText:select * from test, viewExpandedText:select `test`.`col` from `default`.`test`, tableType:VIRTUAL_VIEW)
15/07/26 15:47:28 INFO audit: ugi=ubuntu	ip=unknown-ip-addr	cmd=create_table: Table(tableName:view1, dbName:default, owner:ubuntu, createTime:1437925648, lastAccessTime:0, retention:0, sd:StorageDescriptor(cols:[FieldSchema(name:col, type:string, comment:null)], location:null, inputFormat:org.apache.hadoop.mapred.SequenceFileInputFormat, outputFormat:org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat, compressed:false, numBuckets:-1, serdeInfo:SerDeInfo(name:null, serializationLib:null, parameters:{}), bucketCols:[], sortCols:[], parameters:{}, skewedInfo:SkewedInfo(skewedColNames:[], skewedColValues:[], skewedColValueLocationMaps:{})), partitionKeys:[], parameters:{}, viewOriginalText:select * from test, viewExpandedText:select `test`.`col` from `default`.`test`, tableType:VIRTUAL_VIEW)

Issue Links

• is related to: SPARK-9764 Spark SQL uses table metadata inconsistently