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https://issues.apache.org/jira/browse/SPARK-18016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16342941#comment-16342941
 ] 

Gaurav Garg commented on SPARK-18016:
-------------------------------------

[~Tagar]  Sorry, I have implemented the same logic using RDDs.

It worked fine with RDDs but not with DataFrame. yes, you are right it throws 
constant pool exception when DataFrame's columns are around 20K.

> Code Generation: Constant Pool Past Limit for Wide/Nested Dataset
> -----------------------------------------------------------------
>
>                 Key: SPARK-18016
>                 URL: https://issues.apache.org/jira/browse/SPARK-18016
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.1.0
>            Reporter: Aleksander Eskilson
>            Assignee: Kazuaki Ishizaki
>            Priority: Major
>             Fix For: 2.3.0
>
>
> When attempting to encode collections of large Java objects to Datasets 
> having very wide or deeply nested schemas, code generation can fail, yielding:
> {code}
> Caused by: org.codehaus.janino.JaninoRuntimeException: Constant pool for 
> class 
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection
>  has grown past JVM limit of 0xFFFF
>       at 
> org.codehaus.janino.util.ClassFile.addToConstantPool(ClassFile.java:499)
>       at 
> org.codehaus.janino.util.ClassFile.addConstantNameAndTypeInfo(ClassFile.java:439)
>       at 
> org.codehaus.janino.util.ClassFile.addConstantMethodrefInfo(ClassFile.java:358)
>       at 
> org.codehaus.janino.UnitCompiler.writeConstantMethodrefInfo(UnitCompiler.java:11114)
>       at org.codehaus.janino.UnitCompiler.compileGet2(UnitCompiler.java:4547)
>       at org.codehaus.janino.UnitCompiler.access$7500(UnitCompiler.java:206)
>       at 
> org.codehaus.janino.UnitCompiler$12.visitMethodInvocation(UnitCompiler.java:3774)
>       at 
> org.codehaus.janino.UnitCompiler$12.visitMethodInvocation(UnitCompiler.java:3762)
>       at org.codehaus.janino.Java$MethodInvocation.accept(Java.java:4328)
>       at org.codehaus.janino.UnitCompiler.compileGet(UnitCompiler.java:3762)
>       at 
> org.codehaus.janino.UnitCompiler.compileGetValue(UnitCompiler.java:4933)
>       at org.codehaus.janino.UnitCompiler.compile2(UnitCompiler.java:3180)
>       at org.codehaus.janino.UnitCompiler.access$5000(UnitCompiler.java:206)
>       at 
> org.codehaus.janino.UnitCompiler$9.visitMethodInvocation(UnitCompiler.java:3151)
>       at 
> org.codehaus.janino.UnitCompiler$9.visitMethodInvocation(UnitCompiler.java:3139)
>       at org.codehaus.janino.Java$MethodInvocation.accept(Java.java:4328)
>       at org.codehaus.janino.UnitCompiler.compile(UnitCompiler.java:3139)
>       at org.codehaus.janino.UnitCompiler.compile2(UnitCompiler.java:2112)
>       at org.codehaus.janino.UnitCompiler.access$1700(UnitCompiler.java:206)
>       at 
> org.codehaus.janino.UnitCompiler$6.visitExpressionStatement(UnitCompiler.java:1377)
>       at 
> org.codehaus.janino.UnitCompiler$6.visitExpressionStatement(UnitCompiler.java:1370)
>       at org.codehaus.janino.Java$ExpressionStatement.accept(Java.java:2558)
>       at org.codehaus.janino.UnitCompiler.compile(UnitCompiler.java:1370)
>       at 
> org.codehaus.janino.UnitCompiler.compileStatements(UnitCompiler.java:1450)
>       at org.codehaus.janino.UnitCompiler.compile(UnitCompiler.java:2811)
>       at 
> org.codehaus.janino.UnitCompiler.compileDeclaredMethods(UnitCompiler.java:1262)
>       at 
> org.codehaus.janino.UnitCompiler.compileDeclaredMethods(UnitCompiler.java:1234)
>       at org.codehaus.janino.UnitCompiler.compile2(UnitCompiler.java:538)
>       at org.codehaus.janino.UnitCompiler.compile2(UnitCompiler.java:890)
>       at org.codehaus.janino.UnitCompiler.compile2(UnitCompiler.java:894)
>       at org.codehaus.janino.UnitCompiler.access$600(UnitCompiler.java:206)
>       at 
> org.codehaus.janino.UnitCompiler$2.visitMemberClassDeclaration(UnitCompiler.java:377)
>       at 
> org.codehaus.janino.UnitCompiler$2.visitMemberClassDeclaration(UnitCompiler.java:369)
>       at 
> org.codehaus.janino.Java$MemberClassDeclaration.accept(Java.java:1128)
>       at org.codehaus.janino.UnitCompiler.compile(UnitCompiler.java:369)
>       at 
> org.codehaus.janino.UnitCompiler.compileDeclaredMemberTypes(UnitCompiler.java:1209)
>       at org.codehaus.janino.UnitCompiler.compile2(UnitCompiler.java:564)
>       at org.codehaus.janino.UnitCompiler.compile2(UnitCompiler.java:420)
>       at org.codehaus.janino.UnitCompiler.access$400(UnitCompiler.java:206)
>       at 
> org.codehaus.janino.UnitCompiler$2.visitPackageMemberClassDeclaration(UnitCompiler.java:374)
>       at 
> org.codehaus.janino.UnitCompiler$2.visitPackageMemberClassDeclaration(UnitCompiler.java:369)
>       at 
> org.codehaus.janino.Java$AbstractPackageMemberClassDeclaration.accept(Java.java:1309)
>       at org.codehaus.janino.UnitCompiler.compile(UnitCompiler.java:369)
>       at org.codehaus.janino.UnitCompiler.compileUnit(UnitCompiler.java:345)
>       at 
> org.codehaus.janino.SimpleCompiler.compileToClassLoader(SimpleCompiler.java:396)
>       at 
> org.codehaus.janino.ClassBodyEvaluator.compileToClass(ClassBodyEvaluator.java:311)
>       at 
> org.codehaus.janino.ClassBodyEvaluator.cook(ClassBodyEvaluator.java:229)
>       at org.codehaus.janino.SimpleCompiler.cook(SimpleCompiler.java:196)
>       at org.codehaus.commons.compiler.Cookable.cook(Cookable.java:91)
>       at 
> org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.org$apache$spark$sql$catalyst$expressions$codegen$CodeGenerator$$doCompile(CodeGenerator.scala:905)
>       ... 35 more
> {code}
> During generation of the code for SpecificUnsafeProjection, all the mutable 
> variables are declared up front. If there are too many, it seems it perhaps 
> exceeds some type of resource limit.
> This issue seems related to (but is not fixed by) SPARK-17702, which itself 
> was about the size of individual methods growing beyond the 64 KB limit. 
> SPARK-17702 was resolved by breaking extractions into smaller methods, but 
> does not seem to have resolved this issue.
> I've created a small project [1] where I declare a list of "wide" and 
> "nested" Bean objects that I attempt to encode to a Dataset. This code can 
> trigger the failure for Spark 2.1.0-SNAPSHOT. 
> [1] - https://github.com/bdrillard/spark-codegen-error



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