Hey Cheng, thank you so much for your suggestion, the problem was actually a column/field called "timestamp" in one of the case classes!! Once I changed its name everything worked out fine again. Let me say it was kinda frustrating ...
Roberto On Wed, Mar 18, 2015 at 4:07 PM, Roberto Coluccio < roberto.coluc...@gmail.com> wrote: > You know, I actually have one of the columns called "timestamp" ! This may > really cause the problem reported in the bug you linked, I guess. > > On Wed, Mar 18, 2015 at 3:37 PM, Cheng Lian <lian.cs....@gmail.com> wrote: > >> I suspect that you hit this bug >> https://issues.apache.org/jira/browse/SPARK-6250, it depends on the >> actual contents of your query. >> >> Yin had opened a PR for this, although not merged yet, it should be a >> valid fix https://github.com/apache/spark/pull/5078 >> >> This fix will be included in 1.3.1. >> >> Cheng >> >> On 3/18/15 10:04 PM, Roberto Coluccio wrote: >> >> Hi Cheng, thanks for your reply. >> >> The query is something like: >> >> SELECT * FROM ( >>> SELECT m.column1, IF (d.columnA IS NOT null, d.columnA, m.column2), >>> ..., m.columnN FROM tableD d RIGHT OUTER JOIN tableM m on m.column2 = >>> d.columnA WHERE m.column2!=\"None\" AND d.columnA!=\"\" >>> UNION ALL >>> SELECT ... [another SELECT statement with different conditions but >>> same tables] >>> UNION ALL >>> SELECT ... [another SELECT statement with different conditions but >>> same tables] >>> ) a >> >> >> I'm using just sqlContext, no hiveContext. Please, note once again that >> this perfectly worked w/ Spark 1.1.x. >> >> The tables, i.e. tableD and tableM are previously registered with the >> RDD.registerTempTable method, where the input RDDs are actually a >> RDD[MyCaseClassM/D], with MyCaseClassM and MyCaseClassD being simple >> case classes with only (and less than 22) String fields. >> >> Hope the situation is a bit more clear. Thanks anyone who will help me >> out here. >> >> Roberto >> >> >> >> On Wed, Mar 18, 2015 at 12:09 PM, Cheng Lian <lian.cs....@gmail.com> >> wrote: >> >>> Would you mind to provide the query? If it's confidential, could you >>> please help constructing a query that reproduces this issue? >>> >>> Cheng >>> >>> On 3/18/15 6:03 PM, Roberto Coluccio wrote: >>> >>> Hi everybody, >>> >>> When trying to upgrade from Spark 1.1.1 to Spark 1.2.x (tried both >>> 1.2.0 and 1.2.1) I encounter a weird error never occurred before about >>> which I'd kindly ask for any possible help. >>> >>> In particular, all my Spark SQL queries fail with the following >>> exception: >>> >>> java.lang.RuntimeException: [1.218] failure: identifier expected >>>> >>>> [my query listed] >>>> ^ >>>> at scala.sys.package$.error(package.scala:27) >>>> at >>>> org.apache.spark.sql.catalyst.AbstractSparkSQLParser.apply(SparkSQLParser.scala:33) >>>> at >>>> org.apache.spark.sql.SQLContext$$anonfun$1.apply(SQLContext.scala:79) >>>> at >>>> org.apache.spark.sql.SQLContext$$anonfun$1.apply(SQLContext.scala:79) >>>> at >>>> org.apache.spark.sql.catalyst.SparkSQLParser$$anonfun$org$apache$spark$sql$catalyst$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:174) >>>> at >>>> org.apache.spark.sql.catalyst.SparkSQLParser$$anonfun$org$apache$spark$sql$catalyst$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:173) >>>> at >>>> scala.util.parsing.combinator.Parsers$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$1.apply(Parsers.scala:242) >>>> ... >>> >>> >>> >>> The unit tests I've got for testing this stuff fail both if I >>> build+test the project with Maven and if I run then as single ScalaTest >>> files or test suites/packages. >>> >>> When running my app as usual on EMR in YARN-cluster mode, I get the >>> following: >>> >>> 15/03/17 11:32:14 INFO yarn.ApplicationMaster: Final app status: FAILED, >>> exitCode: 15, (reason: User class threw exception: [1.218] failure: >>> identifier expected >>> >>> SELECT * FROM ... (my query) >>> >>> >>> ^) >>> Exception in thread "Driver" java.lang.RuntimeException: [1.218] failure: >>> identifier expected >>> >>> SELECT * FROM ... (my query) >>> >>> >>> ^ >>> at scala.sys.package$.error(package.scala:27) >>> at >>> org.apache.spark.sql.catalyst.AbstractSparkSQLParser.apply(SparkSQLParser.scala:33) >>> at org.apache.spark.sql.SQLContext$$anonfun$1.apply(SQLContext.scala:79) >>> at org.apache.spark.sql.SQLContext$$anonfun$1.apply(SQLContext.scala:79) >>> at >>> org.apache.spark.sql.catalyst.SparkSQLParser$$anonfun$org$apache$spark$sql$catalyst$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:174) >>> at >>> org.apache.spark.sql.catalyst.SparkSQLParser$$anonfun$org$apache$spark$sql$catalyst$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:173) >>> at scala.util.parsing.combinator.Parsers$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(SparkSQLParser.scala:31) >>> at >>> org.apache.spark.sql.SQLContext$$anonfun$parseSql$1.apply(SQLContext.scala:83) >>> at >>> org.apache.spark.sql.SQLContext$$anonfun$parseSql$1.apply(SQLContext.scala:83) >>> at scala.Option.getOrElse(Option.scala:120) >>> at org.apache.spark.sql.SQLContext.parseSql(SQLContext.scala:83) >>> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:303) >>> at mycompany.mypackage.MyClassFunction.apply(MyClassFunction.scala:34) >>> at mycompany.mypackage.MyClass$.main(MyClass.scala:254) at >>> mycompany.mypackage.MyClass.main(MyClass.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.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:441) >>> 15/03/17 11:32:14 INFO yarn.ApplicationMaster: Invoking sc stop from >>> shutdown hook >>> >>> Any suggestions? >>> >>> Thanks, >>> >>> Roberto >>> >>> >>> >> >> >
