[GitHub] spark pull request: [SPARK-11396] [SQL] add native implementation ...
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[GitHub] spark pull request: [SPARK-11396] [SQL] add native implementation ...
Github user davies commented on the pull request: https://github.com/apache/spark/pull/9347#issuecomment-155995213 LGTM, merging this into master and 1.6. --- 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 pull request: [SPARK-11396] [SQL] add native implementation ...
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[GitHub] spark pull request: [SPARK-11396] [SQL] add native implementation ...
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[GitHub] spark pull request: [SPARK-11396] [SQL] add native implementation ...
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[GitHub] spark pull request: [SPARK-11396] [SQL] add native implementation ...
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[GitHub] spark pull request: [SPARK-11396] [SQL] add native implementation ...
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[GitHub] spark pull request: [SPARK-11396] [SQL] add native implementation ...
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[GitHub] spark pull request: [SPARK-11396] [SQL] add native implementation ...
Github user adrian-wang commented on the pull request: https://github.com/apache/spark/pull/9347#issuecomment-155844283 default constructor has conflict here, so maybe we have to avoid parameters in abstract class UnixTime. --- 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 pull request: [SPARK-11396] [SQL] add native implementation ...
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[GitHub] spark pull request: [SPARK-11396] [SQL] add native implementation ...
Github user davies commented on the pull request: https://github.com/apache/spark/pull/9347#issuecomment-155703086 Please fix the bug for SparkR ``` java.io.InvalidClassException: org.apache.spark.sql.catalyst.expressions.UnixTimestamp; no valid constructor at java.io.ObjectStreamClass$ExceptionInfo.newInvalidClassException(ObjectStreamClass.java:150) at java.io.ObjectStreamClass.checkDeserialize(ObjectStreamClass.java:768) at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1772) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) at java.io.ObjectInputStream.readArray(ObjectInputStream.java:1706) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1344) at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) at scala.collection.immutable.$colon$colon.readObject(List.scala:362) at sun.reflect.GeneratedMethodAccessor5.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017) at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893) at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:76) at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:115) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61) at org.apache.spark.scheduler.Task.run(Task.scala:88) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) at java.util.concurrent
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Github user davies commented on a diff in the pull request: https://github.com/apache/spark/pull/9347#discussion_r44488940 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala --- @@ -347,7 +360,7 @@ case class UnixTimestamp(timeExp: Expression, format: Expression) null } case StringType => - val f = format.eval(input) + val f = right.eval(input) --- End diff -- use format here --- 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 yhuai commented on the pull request: https://github.com/apache/spark/pull/9347#issuecomment-155615265 Seems a legitimate failure (`java.io.InvalidClassException: org.apache.spark.sql.catalyst.expressions.UnixTimestamp; no valid constructor`). --- 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 davies commented on the pull request: https://github.com/apache/spark/pull/9347#issuecomment-155331482 LGTM overall, just one minor comment. --- 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 davies commented on a diff in the pull request: https://github.com/apache/spark/pull/9347#discussion_r44375337 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala --- @@ -299,7 +299,20 @@ case class DateFormatClass(left: Expression, right: Expression) extends BinaryEx } /** - * Converts time string with given pattern + * Converts time string with given pattern. + * Deterministic version of [[UnixTimestamp]], must have at least one parameter. + */ +case class ToUnixTimestamp(timeExp: Expression, format: Expression) extends UnixTime { + def this(time: Expression) = { +this(time, Literal("-MM-dd HH:mm:ss")) + } + + override def left: Expression = timeExp --- End diff -- How about move this into `UnixTime`? --- 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 pull request: [SPARK-11396] [SQL] add native implementation ...
GitHub user adrian-wang opened a pull request: https://github.com/apache/spark/pull/9347 [SPARK-11396] [SQL] add native implementation of datetime function to_unix_timestamp `to_unix_timestamp` is the deterministic version of `unix_timestamp`, as it accepts at least one parameters. Since the behavior here is quite similar to `unix_timestamp`, I think the dataframe API is not necessary here. You can merge this pull request into a Git repository by running: $ git pull https://github.com/adrian-wang/spark to_unix_timestamp Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/9347.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #9347 commit 7c595fdf7a6d4c0b0df00de9759780faec45b095 Author: Daoyuan Wang Date: 2015-10-29T05:20:34Z add native implementation of to_unix_timestamp --- 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