[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/13706 @lianhuiwang Could you restart the work? Thanks! --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/13706 @gatorsmile, I just wonder if it is ready to proceed further this PR. It looks the PR you linked is merged properly. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
Github user lianhuiwang commented on the issue: https://github.com/apache/spark/pull/13706 @gatorsmile OK. Thanks. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/13706 Let me first clean up the existing function registry https://github.com/apache/spark/pull/18142. Will ping you when it is ready. Thanks! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/13706 Sure. Will do it. Thanks! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/13706 cc @gatorsmile could you take a look at the way this interacts with the session catalog and the function registry? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
Github user lianhuiwang commented on the issue: https://github.com/apache/spark/pull/13706 @gatorsmile sorry for reply lately. Now i have merged with master. Thanks. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/13706 @lianhuiwang Are you still working on this PR? Could you please address the conflicts? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
Github user lshmouse commented on the issue: https://github.com/apache/spark/pull/13706 @lianhuiwang I think the problem is that no need to check if macroFunction is resolved. Data type may be cast dynamically according the sql data type. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
Github user lshmouse commented on the issue: https://github.com/apache/spark/pull/13706 @lianhuiwang Just a feedback. With this patch, creating a MACRO throws the following exception. Any suggestion? I am trying to debug it. ``` 16/11/30 16:59:18 INFO execution.SparkSqlParser: Parsing command: CREATE TEMPORARY MACRO flr(time_ms bigint) FLOOR(time_ms/1000/3600)*3600 16/11/30 16:59:18 ERROR thriftserver.SparkExecuteStatementOperation: Error executing query, currentState RUNNING, org.apache.spark.sql.AnalysisException: Cannot resolve '(FLOOR(((boundreference() / 1000) / 3600)) * 3600)' for CREATE TEMPORARY MACRO flr, due to data type mismatch: differing types in '(FLOOR(((boundreference() / 1000) / 3600)) * 3600)' (bigint and int).; at org.apache.spark.sql.execution.command.CreateMacroCommand.run(macros.scala:70) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:60) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:58) at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:120) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:120) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:141) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:138) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:119) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:86) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:86) at org.apache.spark.sql.Dataset.(Dataset.scala:186) at org.apache.spark.sql.Dataset.(Dataset.scala:167) at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:65) at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:582) at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:682) at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:221) at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:165) at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:162) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:415) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1854) at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:175) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471) at java.util.concurrent.FutureTask.run(FutureTask.java:262) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) ``` --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
Github user lianhuiwang commented on the issue: https://github.com/apache/spark/pull/13706 @hvanhovell I have updated this PR. Can you take a look? Thanks. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user lianhuiwang commented on the issue: https://github.com/apache/spark/pull/13706 @hvanhovell Yes, I will update later. Thanks. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/13706 @lianhuiwang could you bring this up to date? I would love to get this in. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user lianhuiwang commented on the issue: https://github.com/apache/spark/pull/13706 @hvanhovell Can you take a look at it? Thanks. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
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[GitHub] spark issue #13706: [SPARK-15988] [SQL] Implement DDL commands: Create/Drop ...
Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/13706 **[Test build #60840 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/60840/consoleFull)** for PR 13706 at commit [`f4ed3bc`](https://github.com/apache/spark/commit/f4ed3bc13cbc629d055ef74a127cf212217cd589). * This patch **fails Spark unit tests**. * This patch **does not merge cleanly**. * This patch adds the following public classes _(experimental)_: * `case class MacroFunctionWrapper(columns: Seq[StructField], macroFunction: Expression)` --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
