Hi Vincent, This may be a case that you're missing a semi-colon after your CREATE TEMPORARY TABLE statement. I ran your original statement (missing the semi-colon) and got the same error as you did. As soon as I added it in, I was good to go again:
CREATE TEMPORARY TABLE jsonTable USING org.apache.spark.sql.json OPTIONS ( path "/samples/people.json" ); -- above needed a semi-colon so the temporary table could be created first SELECT * FROM jsonTable; HTH! Denny On Sun, Mar 29, 2015 at 6:59 AM Vincent He <vincent.he.andr...@gmail.com> wrote: > No luck, it does not work, anyone know whether there some special setting > for spark-sql cli so we do not need to write code to use spark sql? Anyone > have some simple example on this? appreciate any help. thanks in advance. > > On Sat, Mar 28, 2015 at 9:05 AM, Ted Yu <yuzhih...@gmail.com> wrote: > >> See >> https://databricks.com/blog/2015/03/24/spark-sql-graduates-from-alpha-in-spark-1-3.html >> >> I haven't tried the SQL statements in above blog myself. >> >> Cheers >> >> On Sat, Mar 28, 2015 at 5:39 AM, Vincent He <vincent.he.andr...@gmail.com >> > wrote: >> >>> thanks for your information . I have read it, I can run sample with >>> scala or python, but for spark-sql shell, I can not get an exmaple running >>> successfully, can you give me an example I can run with "./bin/spark-sql" >>> without writing any code? thanks >>> >>> On Sat, Mar 28, 2015 at 7:35 AM, Ted Yu <yuzhih...@gmail.com> wrote: >>> >>>> Please take a look at >>>> https://spark.apache.org/docs/latest/sql-programming-guide.html >>>> >>>> Cheers >>>> >>>> >>>> >>>> > On Mar 28, 2015, at 5:08 AM, Vincent He <vincent.he.andr...@gmail.com> >>>> wrote: >>>> > >>>> > >>>> > I am learning spark sql and try spark-sql example, I running >>>> following code, but I got exception "ERROR CliDriver: >>>> org.apache.spark.sql.AnalysisException: cannot recognize input near >>>> 'CREATE' 'TEMPORARY' 'TABLE' in ddl statement; line 1 pos 17", I have two >>>> questions, >>>> > 1. Do we have a list of the statement supported in spark-sql ? >>>> > 2. Does spark-sql shell support hiveql ? If yes, how to set? >>>> > >>>> > The example I tried: >>>> > CREATE TEMPORARY TABLE jsonTable >>>> > USING org.apache.spark.sql.json >>>> > OPTIONS ( >>>> > path "examples/src/main/resources/people.json" >>>> > ) >>>> > SELECT * FROM jsonTable >>>> > The exception I got, >>>> > > CREATE TEMPORARY TABLE jsonTable >>>> > > USING org.apache.spark.sql.json >>>> > > OPTIONS ( >>>> > > path "examples/src/main/resources/people.json" >>>> > > ) >>>> > > SELECT * FROM jsonTable >>>> > > ; >>>> > 15/03/28 17:38:34 INFO ParseDriver: Parsing command: CREATE TEMPORARY >>>> TABLE jsonTable >>>> > USING org.apache.spark.sql.json >>>> > OPTIONS ( >>>> > path "examples/src/main/resources/people.json" >>>> > ) >>>> > SELECT * FROM jsonTable >>>> > NoViableAltException(241@[654:1: ddlStatement : ( >>>> createDatabaseStatement | switchDatabaseStatement | dropDatabaseStatement | >>>> createTableStatement | dropTableStatement | truncateTableStatement | >>>> alterStatement | descStatement | showStatement | metastoreCheck | >>>> createViewStatement | dropViewStatement | createFunctionStatement | >>>> createMacroStatement | createIndexStatement | dropIndexStatement | >>>> dropFunctionStatement | dropMacroStatement | analyzeStatement | >>>> lockStatement | unlockStatement | lockDatabase | unlockDatabase | >>>> createRoleStatement | dropRoleStatement | grantPrivileges | >>>> revokePrivileges | showGrants | showRoleGrants | showRolePrincipals | >>>> showRoles | grantRole | revokeRole | setRole | showCurrentRole );]) >>>> > at org.antlr.runtime.DFA.noViableAlt(DFA.java:158) >>>> > at org.antlr.runtime.DFA.predict(DFA.java:144) >>>> > at >>>> org.apache.hadoop.hive.ql.parse.HiveParser.ddlStatement(HiveParser.java:2090) >>>> > at >>>> org.apache.hadoop.hive.ql.parse.HiveParser.execStatement(HiveParser.java:1398) >>>> > at >>>> org.apache.hadoop.hive.ql.parse.HiveParser.statement(HiveParser.java:1036) >>>> > at >>>> org.apache.hadoop.hive.ql.parse.ParseDriver.parse(ParseDriver.java:199) >>>> > at >>>> org.apache.hadoop.hive.ql.parse.ParseDriver.parse(ParseDriver.java:166) >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$.getAst(HiveQl.scala:227) >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$.createPlan(HiveQl.scala:241) >>>> > 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.apply(AbstractSparkSQLParser.scala:38) >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$$anonfun$3.apply(HiveQl.scala:138) >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$$anonfun$3.apply(HiveQl.scala:138) >>>> > at >>>> org.apache.spark.sql.SparkSQLParser$$anonfun$org$apache$spark$sql$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:96) >>>> > at >>>> org.apache.spark.sql.SparkSQLParser$$anonfun$org$apache$spark$sql$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:95) >>>> > at >>>> scala.util.parsing.combinator.Parsers$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$1.apply(PackratParsers.scala:110) >>>> > at >>>> org.apache.spark.sql.catalyst.AbstractSparkSQLParser.apply(AbstractSparkSQLParser.scala:38) >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$.parseSql(HiveQl.scala:234) >>>> > at >>>> org.apache.spark.sql.hive.HiveContext$$anonfun$sql$1.apply(HiveContext.scala:92) >>>> > at >>>> org.apache.spark.sql.hive.HiveContext$$anonfun$sql$1.apply(HiveContext.scala:92) >>>> > at scala.Option.getOrElse(Option.scala:120) >>>> > at >>>> org.apache.spark.sql.hive.HiveContext.sql(HiveContext.scala:92) >>>> > at >>>> org.apache.spark.sql.hive.thriftserver.AbstractSparkSQLDriver.run(AbstractSparkSQLDriver.scala:57) >>>> > at >>>> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:275) >>>> > at >>>> org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:423) >>>> > at >>>> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:211) >>>> > at >>>> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) >>>> > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native >>>> Method) >>>> > at >>>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) >>>> > at >>>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >>>> > at java.lang.reflect.Method.invoke(Method.java:606) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) >>>> > 15/03/28 17:38:34 ERROR SparkSQLDriver: Failed in [CREATE TEMPORARY >>>> TABLE jsonTable >>>> > USING org.apache.spark.sql.json >>>> > OPTIONS ( >>>> > path "examples/src/main/resources/people.json" >>>> > ) >>>> > SELECT * FROM jsonTable >>>> > ] >>>> > org.apache.spark.sql.AnalysisException: cannot recognize input near >>>> 'CREATE' 'TEMPORARY' 'TABLE' in ddl statement; line 1 pos 17 >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$.createPlan(HiveQl.scala:254) >>>> > at >>>> org.apache.spark.sql.hive.ExtendedHiveQlParser$$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$$anon$1.apply(PackratParsers.scala:110) >>>> > at >>>> org.apache.spark.sql.catalyst.AbstractSparkSQLParser.apply(AbstractSparkSQLParser.scala:38) >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$$anonfun$3.apply(HiveQl.scala:138) >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$$anonfun$3.apply(HiveQl.scala:138) >>>> > at >>>> org.apache.spark.sql.SparkSQLParser$$anonfun$org$apache$spark$sql$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:96) >>>> > at >>>> org.apache.spark.sql.SparkSQLParser$$anonfun$org$apache$spark$sql$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:95) >>>> > at >>>> scala.util.parsing.combinator.Parsers$Success.map(Parsers.scala:136) >>>> > at >>>> scala.util.parsing.combinator.Parsers$Success.map(Parsers.scala:135) >>>> > at >>>> scala.util.parsing.combinator.Parsers$Parser$$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$$anon$1.apply(PackratParsers.scala:110) >>>> > at >>>> org.apache.spark.sql.catalyst.AbstractSparkSQLParser.apply(AbstractSparkSQLParser.scala:38) >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$.parseSql(HiveQl.scala:234) >>>> > at >>>> org.apache.spark.sql.hive.HiveContext$$anonfun$sql$1.apply(HiveContext.scala:92) >>>> > at >>>> org.apache.spark.sql.hive.HiveContext$$anonfun$sql$1.apply(HiveContext.scala:92) >>>> > at scala.Option.getOrElse(Option.scala:120) >>>> > at >>>> org.apache.spark.sql.hive.HiveContext.sql(HiveContext.scala:92) >>>> > at >>>> org.apache.spark.sql.hive.thriftserver.AbstractSparkSQLDriver.run(AbstractSparkSQLDriver.scala:57) >>>> > at >>>> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:275) >>>> > at >>>> org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:423) >>>> > at >>>> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:211) >>>> > at >>>> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) >>>> > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native >>>> Method) >>>> > at >>>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) >>>> > at >>>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >>>> > at java.lang.reflect.Method.invoke(Method.java:606) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) >>>> > org.apache.spark.sql.AnalysisException: cannot recognize input near >>>> 'CREATE' 'TEMPORARY' 'TABLE' in ddl statement; line 1 pos 17 >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$.createPlan(HiveQl.scala:254) >>>> > 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.apply(AbstractSparkSQLParser.scala:38) >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$$anonfun$3.apply(HiveQl.scala:138) >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$$anonfun$3.apply(HiveQl.scala:138) >>>> > at >>>> org.apache.spark.sql.SparkSQLParser$$anonfun$org$apache$spark$sql$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:96) >>>> > at >>>> org.apache.spark.sql.SparkSQLParser$$anonfun$org$apache$spark$sql$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:95) >>>> > at >>>> scala.util.parsing.combinator.Parsers$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$1.apply(PackratParsers.scala:110) >>>> > at >>>> org.apache.spark.sql.catalyst.AbstractSparkSQLParser.apply(AbstractSparkSQLParser.scala:38) >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$.parseSql(HiveQl.scala:234) >>>> > at >>>> org.apache.spark.sql.hive.HiveContext$$anonfun$sql$1.apply(HiveContext.scala:92) >>>> > at >>>> org.apache.spark.sql.hive.HiveContext$$anonfun$sql$1.apply(HiveContext.scala:92) >>>> > at scala.Option.getOrElse(Option.scala:120) >>>> > at >>>> org.apache.spark.sql.hive.HiveContext.sql(HiveContext.scala:92) >>>> > at >>>> org.apache.spark.sql.hive.thriftserver.AbstractSparkSQLDriver.run(AbstractSparkSQLDriver.scala:57) >>>> > at >>>> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:275) >>>> > at >>>> org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:423) >>>> > at >>>> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:211) >>>> > at >>>> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) >>>> > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native >>>> Method) >>>> > at >>>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) >>>> > at >>>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >>>> > at java.lang.reflect.Method.invoke(Method.java:606) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) >>>> > >>>> > 15/03/28 17:38:34 ERROR CliDriver: >>>> org.apache.spark.sql.AnalysisException: cannot recognize input near >>>> 'CREATE' 'TEMPORARY' 'TABLE' in ddl statement; line 1 pos 17 >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$.createPlan(HiveQl.scala:254) >>>> > at >>>> org.apache.spark.sql.hive.ExtendedHiveQlParser$$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$$anon$1.apply(PackratParsers.scala:110) >>>> > at >>>> org.apache.spark.sql.catalyst.AbstractSparkSQLParser.apply(AbstractSparkSQLParser.scala:38) >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$$anonfun$3.apply(HiveQl.scala:138) >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$$anonfun$3.apply(HiveQl.scala:138) >>>> > at >>>> org.apache.spark.sql.SparkSQLParser$$anonfun$org$apache$spark$sql$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:96) >>>> > at >>>> org.apache.spark.sql.SparkSQLParser$$anonfun$org$apache$spark$sql$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:95) >>>> > at >>>> scala.util.parsing.combinator.Parsers$Success.map(Parsers.scala:136) >>>> > at >>>> scala.util.parsing.combinator.Parsers$Success.map(Parsers.scala:135) >>>> > at >>>> scala.util.parsing.combinator.Parsers$Parser$$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$$anon$1.apply(PackratParsers.scala:110) >>>> > at >>>> org.apache.spark.sql.catalyst.AbstractSparkSQLParser.apply(AbstractSparkSQLParser.scala:38) >>>> > at >>>> org.apache.spark.sql.hive.HiveQl$.parseSql(HiveQl.scala:234) >>>> > at >>>> org.apache.spark.sql.hive.HiveContext$$anonfun$sql$1.apply(HiveContext.scala:92) >>>> > at >>>> org.apache.spark.sql.hive.HiveContext$$anonfun$sql$1.apply(HiveContext.scala:92) >>>> > at scala.Option.getOrElse(Option.scala:120) >>>> > at >>>> org.apache.spark.sql.hive.HiveContext.sql(HiveContext.scala:92) >>>> > at >>>> org.apache.spark.sql.hive.thriftserver.AbstractSparkSQLDriver.run(AbstractSparkSQLDriver.scala:57) >>>> > at >>>> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:275) >>>> > at >>>> org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:423) >>>> > at >>>> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:211) >>>> > at >>>> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) >>>> > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native >>>> Method) >>>> > at >>>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) >>>> > at >>>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >>>> > at java.lang.reflect.Method.invoke(Method.java:606) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110) >>>> > at >>>> org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) >>>> > >>>> > spark-sql> >>>> > >>>> > >>>> > Vincent (Dashuang) He >>>> > >>>> >>> >>> >> >
