[jira] [Commented] (AMBARI-23043) 'Table or view not found error' with livy/livy2 interpreter on upgraded cluster to Fenton-M30
[
https://issues.apache.org/jira/browse/AMBARI-23043?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16375212#comment-16375212
]
Hudson commented on AMBARI-23043:
-
FAILURE: Integrated in Jenkins build Ambari-trunk-Commit #8778 (See
[https://builds.apache.org/job/Ambari-trunk-Commit/8778/])
[AMBARI-23043] "Table or view not found error" with livy/livy2 (github:
[https://gitbox.apache.org/repos/asf?p=ambari.git=commit=2cbb34854ef4fdd7fdacfd105ce830008cdd8d66])
* (edit)
ambari-server/src/test/python/stacks/2.6/ZEPPELIN/interpreter_json_generated.py
> 'Table or view not found error' with livy/livy2 interpreter on upgraded
> cluster to Fenton-M30
> -
>
> Key: AMBARI-23043
> URL: https://issues.apache.org/jira/browse/AMBARI-23043
> Project: Ambari
> Issue Type: Bug
> Components: ambari-server
>Reporter: Vitaly Brodetskyi
>Assignee: Vitaly Brodetskyi
>Priority: Critical
> Labels: pull-request-available
> Fix For: 2.6.2
>
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> The test has been performed as below:
> CentOS6 + Ambari-2.5.1 + HDP-2.6.1 -> AU to Ambari-2.6.2 -> Full EU to
> HDP-2.6.5.0-74 (Fenton-M30) -> Run stack tests
> I see that with livy2 interpreter, anytime we register a temporary view or
> table - the corresponding query on that table will fail with 'Table or view
> not found error'
> {code:java}
> org.apache.spark.sql.AnalysisException: Table or view not found: word_counts;
> line 2 pos 24
> at
> org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveRelations$$lookupTableFromCatalog(Analyzer.scala:649)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.resolveRelation(Analyzer.scala:601)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$8.applyOrElse(Analyzer.scala:631)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$8.applyOrElse(Analyzer.scala:624)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:62)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:62)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:61)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:624)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:570)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:85)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:82)
> at
> scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124)
> at scala.collection.immutable.List.foldLeft(List.scala:84)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:82)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:74)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:74)
> at
>
[jira] [Commented] (AMBARI-23043) 'Table or view not found error' with livy/livy2 interpreter on upgraded cluster to Fenton-M30
[
https://issues.apache.org/jira/browse/AMBARI-23043?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16371998#comment-16371998
]
Hudson commented on AMBARI-23043:
-
FAILURE: Integrated in Jenkins build Ambari-trunk-Commit #8768 (See
[https://builds.apache.org/job/Ambari-trunk-Commit/8768/])
[AMBARI-23043] Table or view not found error with livy/livy2 interpreter
(github:
[https://gitbox.apache.org/repos/asf?p=ambari.git=commit=9be99cec9b0ad7aaa0290309ba9c56927498c8f6])
* (edit)
ambari-server/src/main/resources/common-services/ZEPPELIN/0.7.0/package/scripts/master.py
> 'Table or view not found error' with livy/livy2 interpreter on upgraded
> cluster to Fenton-M30
> -
>
> Key: AMBARI-23043
> URL: https://issues.apache.org/jira/browse/AMBARI-23043
> Project: Ambari
> Issue Type: Bug
> Components: ambari-server
>Reporter: Vitaly Brodetskyi
>Assignee: Vitaly Brodetskyi
>Priority: Critical
> Labels: pull-request-available
> Fix For: 2.6.2
>
> Time Spent: 40m
> Remaining Estimate: 0h
>
> The test has been performed as below:
> CentOS6 + Ambari-2.5.1 + HDP-2.6.1 -> AU to Ambari-2.6.2 -> Full EU to
> HDP-2.6.5.0-74 (Fenton-M30) -> Run stack tests
> I see that with livy2 interpreter, anytime we register a temporary view or
> table - the corresponding query on that table will fail with 'Table or view
> not found error'
> {code:java}
> org.apache.spark.sql.AnalysisException: Table or view not found: word_counts;
> line 2 pos 24
> at
> org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveRelations$$lookupTableFromCatalog(Analyzer.scala:649)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.resolveRelation(Analyzer.scala:601)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$8.applyOrElse(Analyzer.scala:631)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$8.applyOrElse(Analyzer.scala:624)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:62)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:62)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:61)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:624)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:570)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:85)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:82)
> at
> scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124)
> at scala.collection.immutable.List.foldLeft(List.scala:84)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:82)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:74)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:74)
> at
>
[jira] [Commented] (AMBARI-23043) 'Table or view not found error' with livy/livy2 interpreter on upgraded cluster to Fenton-M30
[
https://issues.apache.org/jira/browse/AMBARI-23043?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16371720#comment-16371720
]
Hudson commented on AMBARI-23043:
-
SUCCESS: Integrated in Jenkins build Ambari-branch-2.6 #619 (See
[https://builds.apache.org/job/Ambari-branch-2.6/619/])
[AMBARI-23043] Table or view not found error' with livy/livy2 (github:
[https://gitbox.apache.org/repos/asf?p=ambari.git=commit=c3865676200a55fdbbcaf8377068d87162141532])
* (edit)
ambari-server/src/main/resources/common-services/ZEPPELIN/0.7.0/package/scripts/master.py
> 'Table or view not found error' with livy/livy2 interpreter on upgraded
> cluster to Fenton-M30
> -
>
> Key: AMBARI-23043
> URL: https://issues.apache.org/jira/browse/AMBARI-23043
> Project: Ambari
> Issue Type: Bug
> Components: ambari-server
>Reporter: Vitaly Brodetskyi
>Assignee: Vitaly Brodetskyi
>Priority: Critical
> Labels: pull-request-available
> Fix For: 2.6.2
>
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> The test has been performed as below:
> CentOS6 + Ambari-2.5.1 + HDP-2.6.1 -> AU to Ambari-2.6.2 -> Full EU to
> HDP-2.6.5.0-74 (Fenton-M30) -> Run stack tests
> I see that with livy2 interpreter, anytime we register a temporary view or
> table - the corresponding query on that table will fail with 'Table or view
> not found error'
> {code:java}
> org.apache.spark.sql.AnalysisException: Table or view not found: word_counts;
> line 2 pos 24
> at
> org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveRelations$$lookupTableFromCatalog(Analyzer.scala:649)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.resolveRelation(Analyzer.scala:601)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$8.applyOrElse(Analyzer.scala:631)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$8.applyOrElse(Analyzer.scala:624)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:62)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$resolveOperators$1.apply(LogicalPlan.scala:62)
> at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:61)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan$$anonfun$1.apply(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
> at
> org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
> at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:59)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:624)
> at
> org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:570)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:85)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1$$anonfun$apply$1.apply(RuleExecutor.scala:82)
> at
> scala.collection.LinearSeqOptimized$class.foldLeft(LinearSeqOptimized.scala:124)
> at scala.collection.immutable.List.foldLeft(List.scala:84)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:82)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor$$anonfun$execute$1.apply(RuleExecutor.scala:74)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at
> org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:74)
> at
>
