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Suhas Nalapure commented on SPARK-18964: ---------------------------------------- Right, the assumption is "In addition to the basic SQLContext, you can also create a HiveContext, which provides a superset of the functionality provided by the basic SQLContext" quoted from the Spark documentation here https://spark.apache.org/docs/1.6.0/sql-programming-guide.html. I stand corrected if I got it wrong. In my project, the issue is we're having to use HiveContext because the SQLContext doesn't support Window functions (and there is no other reason) as of Spark 1.6.0 and as a side effect of that we can't use the Time Interval Literals which I find quite handy. > HiveContext does not support Time Interval Literals > --------------------------------------------------- > > Key: SPARK-18964 > URL: https://issues.apache.org/jira/browse/SPARK-18964 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.5.0, 1.6.0 > Reporter: Suhas Nalapure > > HiveContext does not recognize the Time Interval Literals mentioned here > https://databricks.com/blog/2015/09/16/apache-spark-1-5-dataframe-api-highlights.html. > E.g. The following Spark sql runs just fine when a SQLContext is used but > fails when HiveContext is used > > select *, case when `Order_Date` + INTERVAL 7 DAY > `Ship_Date` then "On > Time" else "Late" end as Shipment_On_Time from sales; > Logs: > ------ > org.apache.spark.sql.AnalysisException: cannot recognize input near > 'INTERVAL' '7' 'DAY' in expression specification; line 2 pos 30 > at org.apache.spark.sql.hive.HiveQl$.createPlan(HiveQl.scala:318) > at > org.apache.spark.sql.hive.ExtendedHiveQlParser$$anonfun$hiveQl$1.apply(ExtendedHiveQlParser.scala:41) > at > org.apache.spark.sql.hive.ExtendedHiveQlParser$$anonfun$hiveQl$1.apply(ExtendedHiveQlParser.scala:40) > at scala.util.parsing.combinator.Parsers$Success.map(Parsers.scala:136) > at scala.util.parsing.combinator.Parsers$Success.map(Parsers.scala:135) > at > scala.util.parsing.combinator.Parsers$Parser$$anonfun$map$1.apply(Parsers.scala:242) > at > scala.util.parsing.combinator.Parsers$Parser$$anonfun$map$1.apply(Parsers.scala:242) > at > scala.util.parsing.combinator.Parsers$$anon$3.apply(Parsers.scala:222) > at > scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1$$anonfun$apply$2.apply(Parsers.scala:254) > at > scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1$$anonfun$apply$2.apply(Parsers.scala:254) > at > scala.util.parsing.combinator.Parsers$Failure.append(Parsers.scala:202) > at > scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1.apply(Parsers.scala:254) > at > scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1.apply(Parsers.scala:254) > at > scala.util.parsing.combinator.Parsers$$anon$3.apply(Parsers.scala:222) > at > scala.util.parsing.combinator.Parsers$$anon$2$$anonfun$apply$14.apply(Parsers.scala:891) > at > scala.util.parsing.combinator.Parsers$$anon$2$$anonfun$apply$14.apply(Parsers.scala:891) > at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57) > at > scala.util.parsing.combinator.Parsers$$anon$2.apply(Parsers.scala:890) > at > scala.util.parsing.combinator.PackratParsers$$anon$1.apply(PackratParsers.scala:110) > at > org.apache.spark.sql.catalyst.AbstractSparkSQLParser.parse(AbstractSparkSQLParser.scala:34) > at org.apache.spark.sql.hive.HiveQl$.parseSql(HiveQl.scala:295) > at > org.apache.spark.sql.hive.HiveQLDialect$$anonfun$parse$1.apply(HiveContext.scala:66) > at > org.apache.spark.sql.hive.HiveQLDialect$$anonfun$parse$1.apply(HiveContext.scala:66) > at > org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$withHiveState$1.apply(ClientWrapper.scala:279) > at > org.apache.spark.sql.hive.client.ClientWrapper.liftedTree1$1(ClientWrapper.scala:226) > at > org.apache.spark.sql.hive.client.ClientWrapper.retryLocked(ClientWrapper.scala:225) > at > org.apache.spark.sql.hive.client.ClientWrapper.withHiveState(ClientWrapper.scala:268) > at org.apache.spark.sql.hive.HiveQLDialect.parse(HiveContext.scala:65) > at > org.apache.spark.sql.SQLContext$$anonfun$2.apply(SQLContext.scala:211) > at > org.apache.spark.sql.SQLContext$$anonfun$2.apply(SQLContext.scala:211) > at > org.apache.spark.sql.execution.SparkSQLParser$$anonfun$org$apache$spark$sql$execution$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:114) > at > org.apache.spark.sql.execution.SparkSQLParser$$anonfun$org$apache$spark$sql$execution$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:113) > at scala.util.parsing.combinator.Parsers$Success.map(Parsers.scala:136) > at scala.util.parsing.combinator.Parsers$Success.map(Parsers.scala:135) > at > scala.util.parsing.combinator.Parsers$Parser$$anonfun$map$1.apply(Parsers.scala:242) > at > scala.util.parsing.combinator.Parsers$Parser$$anonfun$map$1.apply(Parsers.scala:242) > at > scala.util.parsing.combinator.Parsers$$anon$3.apply(Parsers.scala:222) > at > scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1$$anonfun$apply$2.apply(Parsers.scala:254) > at > scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1$$anonfun$apply$2.apply(Parsers.scala:254) > at > scala.util.parsing.combinator.Parsers$Failure.append(Parsers.scala:202) > at > scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1.apply(Parsers.scala:254) > at > scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1.apply(Parsers.scala:254) > at > scala.util.parsing.combinator.Parsers$$anon$3.apply(Parsers.scala:222) > at > scala.util.parsing.combinator.Parsers$$anon$2$$anonfun$apply$14.apply(Parsers.scala:891) > at > scala.util.parsing.combinator.Parsers$$anon$2$$anonfun$apply$14.apply(Parsers.scala:891) > at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57) > at > scala.util.parsing.combinator.Parsers$$anon$2.apply(Parsers.scala:890) > at > scala.util.parsing.combinator.PackratParsers$$anon$1.apply(PackratParsers.scala:110) > at > org.apache.spark.sql.catalyst.AbstractSparkSQLParser.parse(AbstractSparkSQLParser.scala:34) > at > org.apache.spark.sql.SQLContext$$anonfun$1.apply(SQLContext.scala:208) > at > org.apache.spark.sql.SQLContext$$anonfun$1.apply(SQLContext.scala:208) > at > org.apache.spark.sql.execution.datasources.DDLParser.parse(DDLParser.scala:43) > at org.apache.spark.sql.SQLContext.parseSql(SQLContext.scala:231) > at org.apache.spark.sql.hive.HiveContext.parseSql(HiveContext.scala:331) > at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:817) > at > com.dataken.script.compilation.CompilationContext.registerQueryDF(CompilationContext.java:238) > at > com.dataken.script.compilation.CompilationContext.createOrAlterCol(CompilationContext.java:286) > at > com.dataken.script.antlr.listener.DatakenTLCompiler.exitVColAssignment(DatakenTLCompiler.java:136) > at > com.dataken.script.antlr.generated.DatakenTLParser$VColAssignmentContext.exitRule(DatakenTLParser.java:408) > at > org.antlr.v4.runtime.tree.ParseTreeWalker.exitRule(ParseTreeWalker.java:71) > at > org.antlr.v4.runtime.tree.ParseTreeWalker.walk(ParseTreeWalker.java:54) > at > org.antlr.v4.runtime.tree.ParseTreeWalker.walk(ParseTreeWalker.java:52) > at > com.dataken.script.antlr.listener.DatakenTLCompiler.compile(DatakenTLCompiler.java:171) > at com.dataken.script.Script.compile(Script.java:226) > at com.dataken.script.Script.execute(Script.java:273) > at com.dataken.script.ScriptTest.lambda$0(ScriptTest.java:116) > at java.util.ArrayList.forEach(ArrayList.java:1249) > at com.dataken.script.ScriptTest.testSample(ScriptTest.java:115) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:498) > at > org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50) > at > org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12) > at > org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47) > at > org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17) > at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325) > at > org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78) > at > org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57) > at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290) > at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71) > at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288) > at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58) > at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268) > at > org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:26) > at > org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:27) > at org.junit.runners.ParentRunner.run(ParentRunner.java:363) > at > org.eclipse.jdt.internal.junit4.runner.JUnit4TestReference.run(JUnit4TestReference.java:86) > at > org.eclipse.jdt.internal.junit.runner.TestExecution.run(TestExecution.java:38) > at > org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:459) > at > org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:678) > at > org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.run(RemoteTestRunner.java:382) > at > org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.main(RemoteTestRunner.java:192) > 2016-12-21 16:33:52,920 DEBUG [main] com.dataken.script.ScriptTest -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: 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