[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[
https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16144026#comment-16144026
]
Apache Spark commented on SPARK-19372:
--
User 'poplav' has created a pull request for this issue:
https://github.com/apache/spark/pull/18942
> Code generation for Filter predicate including many OR conditions exceeds JVM
> method size limit
>
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
>Affects Versions: 2.1.0
>Reporter: Jay Pranavamurthi
>Assignee: Kazuaki Ishizaki
> Fix For: 2.2.0, 2.3.0
>
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception
> "org.codehaus.janino.JaninoRuntimeException: Code of method
> "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate"
> grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext =
> SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) =>
> e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[
https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16126618#comment-16126618
]
poplav commented on SPARK-19372:
I opened a PR for backporting this at
https://github.com/apache/spark/pull/18942, thanks.
> Code generation for Filter predicate including many OR conditions exceeds JVM
> method size limit
>
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
>Affects Versions: 2.1.0
>Reporter: Jay Pranavamurthi
>Assignee: Kazuaki Ishizaki
> Fix For: 2.2.0, 2.3.0
>
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception
> "org.codehaus.janino.JaninoRuntimeException: Code of method
> "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate"
> grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext =
> SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) =>
> e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[
https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16126182#comment-16126182
]
poplav commented on SPARK-19372:
Hi, [~kiszk] I met this failure also.
Is it possible to backport this to 2.1.1?
Appreciate it!
> Code generation for Filter predicate including many OR conditions exceeds JVM
> method size limit
>
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
>Affects Versions: 2.1.0
>Reporter: Jay Pranavamurthi
>Assignee: Kazuaki Ishizaki
> Fix For: 2.2.0, 2.3.0
>
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception
> "org.codehaus.janino.JaninoRuntimeException: Code of method
> "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate"
> grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext =
> SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) =>
> e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[
https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16125144#comment-16125144
]
srinivasan commented on SPARK-19372:
[~kiszk] I created a new ticket ,
https://issues.apache.org/jira/browse/SPARK-21720
Please verify the description. Thanks
> Code generation for Filter predicate including many OR conditions exceeds JVM
> method size limit
>
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
>Affects Versions: 2.1.0
>Reporter: Jay Pranavamurthi
>Assignee: Kazuaki Ishizaki
> Fix For: 2.2.0, 2.3.0
>
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception
> "org.codehaus.janino.JaninoRuntimeException: Code of method
> "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate"
> grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext =
> SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) =>
> e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[
https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16124982#comment-16124982
]
Kazuaki Ishizaki commented on SPARK-19372:
--
[~srinivasanm] I can reproduce this issue by using the master branch. I think
that this is another problem.
Could you please create another JIRA entry to track this issue?
> Code generation for Filter predicate including many OR conditions exceeds JVM
> method size limit
>
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
>Affects Versions: 2.1.0
>Reporter: Jay Pranavamurthi
>Assignee: Kazuaki Ishizaki
> Fix For: 2.2.0, 2.3.0
>
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception
> "org.codehaus.janino.JaninoRuntimeException: Code of method
> "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate"
> grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext =
> SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) =>
> e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[
https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16124856#comment-16124856
]
Kazuaki Ishizaki commented on SPARK-19372:
--
Thank you for letting us know the problem. I investigate this.
> Code generation for Filter predicate including many OR conditions exceeds JVM
> method size limit
>
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
>Affects Versions: 2.1.0
>Reporter: Jay Pranavamurthi
>Assignee: Kazuaki Ishizaki
> Fix For: 2.2.0, 2.3.0
>
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception
> "org.codehaus.janino.JaninoRuntimeException: Code of method
> "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate"
> grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext =
> SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) =>
> e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[ https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16123029#comment-16123029 ] srinivasan commented on SPARK-19372: Hi [~kiszk], the fix does not work for select * from temp where not( Field1 = '' and Field2 = '' and Field3 = '' and Field4 = '' and Field5 = '' and BLANK_5 = '' and Field7 = '' and Field8 = '' and Field9 = '' and Field10 = '' and Field11 = '' and Field12 = '' and Field13 = '' and Field14 = '' and Field15 = '' and Field16 = '' and Field17 = '' and Field18 = '' and Field19 = '' and Field20 = '' and Field21 = '' and Field22 = '' and Field23 = '' and Field24 = '' and Field25 = '' and Field26 = '' and Field27 = '' and Field28 = '' and Field29 = '' and Field30 = '' and Field31 = '' and Field32 = '' and Field33 = '' and Field34 = '' and Field35 = '' and Field36 = '' and Field37 = '' and Field38 = '' and Field39 = '' and Field40 = '' and Field41 = '' and Field42 = '' and Field43 = '' and Field44 = '' and Field45 = '' and Field46 = '' and Field47 = '' and Field48 = '' and Field49 = '' and Field50 = '' and Field51 = '' and Field52 = '' and Field53 = '' and Field54 = '' and Field55 = '' and Field56 = '' and Field57 = '' and Field58 = '' and Field59 = '' and Field60 = '' and Field61 = '' and Field62 = '' and Field63 = '' and Field64 = '' and Field65 = '' and Field66 = '' and Field67 = '' and Field68 = '' and Field69 = '' and Field70 = '' and Field71 = '' and Field72 = '' and Field73 = '' and Field74 = '' and Field75 = '' and Field76 = '' and Field77 = '' and Field78 = '' and Field79 = '' and Field80 = '' and Field81 = '' and Field82 = '' and Field83 = '' and Field84 = '' and Field85 = '' and Field86 = '' and Field87 = '' and Field88 = '' and Field89 = '' and Field90 = '' and Field91 = '' and Field92 = '' and Field93 = '' and Field94 = '' and Field95 = '' and Field96 = '' and Field97 = '' and Field98 = '' and Field99 = '' and Field100 = '' and Field101 = '' and Field102 = '' and Field103 = '' and Field104 = '' and Field105 = '' and Field106 = '' and Field107 = '' and Field108 = '' and Field109 = '' and Field110 = '' and Field111 = '' and Field112 = '' and Field113 = '' and Field114 = '' and Field115 = '' and Field116 = '' and Field117 = '' and Field118 = '' and Field119 = '' and Field120 = '' and Field121 = '' and Field122 = '' and Field123 = '' and Field124 = '' and Field125 = '' and Field126 = '' and Field127 = '' and Field128 = '' and Field129 = '' and Field130 = '' and Field131 = '' and Field132 = '' and Field133 = '' and Field134 = '' and Field135 = '' and Field136 = '' and Field137 = '' and Field138 = '' and Field139 = '' and Field140 = '' and Field141 = '' and Field142 = '' and Field143 = '' and Field144 = '' and Field145 = '' and Field146 = '' and Field147 = '' and Field148 = '' and Field149 = '' and Field150 = '' and Field151 = '' and Field152 = '' and Field153 = '' and Field154 = '' and Field155 = '' and Field156 = '' and Field157 = '' and Field158 = '' and Field159 = '' and Field160 = '' and Field161 = '' and Field162 = '' and Field163 = '' and Field164 = '' and Field165 = '' and Field166 = '' and Field167 = '' and Field168 = '' and Field169 = '' and Field170 = '' and Field171 = '' and Field172 = '' and Field173 = '' and Field174 = '' and Field175 = '' and Field176 = '' and Field177 = '' and Field178 = '' and Field179 = '' and Field180 = '' and Field181 = '' and Field182 = '' and Field183 = '' and Field184 = '' and Field185 = '' and Field186 = '' and Field187 = '' and Field188 = '' and Field189 = '' and Field190 = '' and Field191 = '' and Field192 = '' and Field193 = '' and Field194 = '' and Field195 = '' and Field196 = '' and Field197 = '' and Field198 = '' and Field199 = '' and Field200 = '' and Field201 = '' and Field202 = '' and Field203 = '' and Field204 = '' and Field205 = '' and Field206 = '' and Field207 = '' and Field208 = '' and Field209 = '' and Field210 = '' and Field211 = '' and Field212 = '' and Field213 = '' and Field214 = '' and Field215 = '' and Field216 = '' and Field217 = '' and Field218 = '' and Field219 = '' and Field220 = '' and Field221 = '' and Field222 = '' and Field223 = '' and Field224 = '' and Field225 = '' and Field226 = '' and Field227 = '' and Field228 = '' and Field229 = '' and Field230 = '' and Field231 = '' and Field232 = '' and Field233 = '' and Field234 = '' and Field235 = '' and Field236 = '' and Field237 = '' and Field238 = '' and Field239 = '' and Field240 = '' and Field241 = '' and Field242 = '' and Field243 = '' and Field244 = '' and Field245 = '' and Field246 = '' and Field247 = '' and Field248 = '' and Field249 = '' and Field250 =
[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[
https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16027270#comment-16027270
]
Dongjoon Hyun commented on SPARK-19372:
---
Thank you so much all!
> Code generation for Filter predicate including many OR conditions exceeds JVM
> method size limit
>
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
>Affects Versions: 2.1.0
>Reporter: Jay Pranavamurthi
>Assignee: Kazuaki Ishizaki
> Fix For: 2.2.0, 2.3.0
>
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception
> "org.codehaus.janino.JaninoRuntimeException: Code of method
> "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate"
> grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext =
> SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) =>
> e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[
https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16025927#comment-16025927
]
Apache Spark commented on SPARK-19372:
--
User 'kiszk' has created a pull request for this issue:
https://github.com/apache/spark/pull/18119
> Code generation for Filter predicate including many OR conditions exceeds JVM
> method size limit
>
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
>Affects Versions: 2.1.0
>Reporter: Jay Pranavamurthi
>Assignee: Kazuaki Ishizaki
> Fix For: 2.3.0
>
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception
> "org.codehaus.janino.JaninoRuntimeException: Code of method
> "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate"
> grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext =
> SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) =>
> e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[
https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16025789#comment-16025789
]
Kazuaki Ishizaki commented on SPARK-19372:
--
I see. Let me create a PR for 2.2.0
> Code generation for Filter predicate including many OR conditions exceeds JVM
> method size limit
>
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
>Affects Versions: 2.1.0
>Reporter: Jay Pranavamurthi
>Assignee: Kazuaki Ishizaki
> Fix For: 2.3.0
>
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception
> "org.codehaus.janino.JaninoRuntimeException: Code of method
> "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate"
> grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext =
> SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) =>
> e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[
https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16025752#comment-16025752
]
Vish Persaud commented on SPARK-19372:
--
+1 for backporting this to 2.2.0!
> Code generation for Filter predicate including many OR conditions exceeds JVM
> method size limit
>
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
>Affects Versions: 2.1.0
>Reporter: Jay Pranavamurthi
>Assignee: Kazuaki Ishizaki
> Fix For: 2.3.0
>
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception
> "org.codehaus.janino.JaninoRuntimeException: Code of method
> "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate"
> grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext =
> SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) =>
> e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[
https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16025749#comment-16025749
]
Dongjoon Hyun commented on SPARK-19372:
---
Hi, [~kiszk]. I met this failure also.
Is it possible to backport this to 2.2.0?
> Code generation for Filter predicate including many OR conditions exceeds JVM
> method size limit
>
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
>Affects Versions: 2.1.0
>Reporter: Jay Pranavamurthi
>Assignee: Kazuaki Ishizaki
> Fix For: 2.3.0
>
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception
> "org.codehaus.janino.JaninoRuntimeException: Code of method
> "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate"
> grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext =
> SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) =>
> e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[
https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15939511#comment-15939511
]
Kazuaki Ishizaki commented on SPARK-19372:
--
I implemented the code to take care of it, and am waiting for the review.
> Code generation for Filter predicate including many OR conditions exceeds JVM
> method size limit
>
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
>Affects Versions: 2.1.0
>Reporter: Jay Pranavamurthi
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception
> "org.codehaus.janino.JaninoRuntimeException: Code of method
> "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate"
> grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext =
> SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) =>
> e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[
https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15939480#comment-15939480
]
Hyukjin Kwon commented on SPARK-19372:
--
I have seen this too before.
> Code generation for Filter predicate including many OR conditions exceeds JVM
> method size limit
>
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
>Affects Versions: 2.1.0
>Reporter: Jay Pranavamurthi
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception
> "org.codehaus.janino.JaninoRuntimeException: Code of method
> "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate"
> grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext =
> SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) =>
> e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[
https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15939072#comment-15939072
]
Andrew Ash commented on SPARK-19372:
I've seen this as well on parquet files.
> Code generation for Filter predicate including many OR conditions exceeds JVM
> method size limit
>
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
>Affects Versions: 2.1.0
>Reporter: Jay Pranavamurthi
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception
> "org.codehaus.janino.JaninoRuntimeException: Code of method
> "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate"
> grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext =
> SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) =>
> e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[
https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15886383#comment-15886383
]
Apache Spark commented on SPARK-19372:
--
User 'kiszk' has created a pull request for this issue:
https://github.com/apache/spark/pull/17087
> Code generation for Filter predicate including many OR conditions exceeds JVM
> method size limit
>
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
>Affects Versions: 2.1.0
>Reporter: Jay Pranavamurthi
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception
> "org.codehaus.janino.JaninoRuntimeException: Code of method
> "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate"
> grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext =
> SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) =>
> e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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[jira] [Commented] (SPARK-19372) Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
[
https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15851472#comment-15851472
]
Kazuaki Ishizaki commented on SPARK-19372:
--
I was able to reproduce this. I am thinking how to reduce bytecode size per
Java method.
> Code generation for Filter predicate including many OR conditions exceeds JVM
> method size limit
>
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
>Affects Versions: 2.1.0
>Reporter: Jay Pranavamurthi
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception
> "org.codehaus.janino.JaninoRuntimeException: Code of method
> "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate"
> grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext =
> SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) =>
> e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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