Hossein Falaki created SPARK-14224:
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Summary: Cannot project all columns from a table with ~1,100
columns
Key: SPARK-14224
URL: https://issues.apache.org/jira/browse/SPARK-14224
Project: Spark
Issue Type: Bug
Affects Versions: 2.0.0
Reporter: Hossein Falaki
I created a temporary table from 1000 genomes dataset and cached it. When I try
select all columns for even a single row I get following exception. Setting and
unsetting {{spark.sql.codegen.wholeStage}} and {{spark.sql.codegen}} has no
effect.
{code}
val vcfData = sqlContext.read.format("csv").options(Map(
"comment" -> "#", "header" -> "false", "delimiter" -> "\t"
)).load("/mnt/vida/1000genomes/phase1/analysis_results/integrated_call_sets/ALL.chr1.integrated_phase1_v3.20101123.snps_indels_svs.genotypes.vcf")
vcfData.registerTempTable("genomesTable")
%sql select * from genomesTable
Error in SQL statement: RuntimeException: Error while decoding:
java.util.concurrent.ExecutionException: java.lang.Exception: failed to
compile: org.codehaus.janino.JaninoRuntimeException: Code of method
"(Ljava/lang/Object;)Ljava/lang/Object;" of class
"org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificSafeProjection"
grows beyond 64 KB
/* 001 */
/* 002 */ public java.lang.Object generate(Object[] references) {
/* 003 */ return new SpecificSafeProjection(references);
{code}
cc [~rxin]
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