[GitHub] spark issue #14568: [SPARK-10868] monotonicallyIncreasingId() supports offse...
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/14568 @tedyu could you close this one? --- 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 #14568: [SPARK-10868] monotonicallyIncreasingId() supports offse...
Github user rxin commented on the issue: https://github.com/apache/spark/pull/14568 @tedyu I closed the original JIRA. Can you close the pull request? Let me know if it is unclear why this doesn't really solve the problem. --- 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 #14568: [SPARK-10868] monotonicallyIncreasingId() supports offse...
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/14568 The thing is that this (`id & 8589934591L`) is difficult/strange for an end user to work with; they should not really have to think about such a detail. --- 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 #14568: [SPARK-10868] monotonicallyIncreasingId() supports offse...
Github user rxin commented on the issue:
https://github.com/apache/spark/pull/14568
```
scala> spark.range(10).selectExpr("monotonically_increasing_id() &
8589934591L").show()
++
|(monotonically_increasing_id() & 8589934591)|
++
| 0|
| 0|
| 0|
| 0|
| 1|
| 0|
| 0|
| 0|
| 0|
| 1|
++
```
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[GitHub] spark issue #14568: [SPARK-10868] monotonicallyIncreasingId() supports offse...
Github user tedyu commented on the issue: https://github.com/apache/spark/pull/14568 I don't think so. Using (id & 8589934591) would obtain the numbers 99 and 199 in my example. --- 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 #14568: [SPARK-10868] monotonicallyIncreasingId() supports offse...
Github user rxin commented on the issue: https://github.com/apache/spark/pull/14568 That won't work when there are more than one partitions. --- 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 #14568: [SPARK-10868] monotonicallyIncreasingId() supports offse...
Github user tedyu commented on the issue: https://github.com/apache/spark/pull/14568 Can you elaborate ? 1st run: Id's 1 to 99 are generated. 2nd run: poll Id column and obtain 99. Specify 100 as offset for monotonically_increasing_id(). Id's 100 to 199 are generated. 3rd run: poll Id column and obtain 199. Specify 200 as offset for monotonically_increasing_id(). Id's 200 to 299 are generated. --- 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 #14568: [SPARK-10868] monotonicallyIncreasingId() supports offse...
Github user rxin commented on the issue: https://github.com/apache/spark/pull/14568 Yea but you can't do that more than once. --- 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 #14568: [SPARK-10868] monotonicallyIncreasingId() supports offse...
Github user tedyu commented on the issue: https://github.com/apache/spark/pull/14568 As Herman commented above, obtaining lower 33 bits of the id column would allow Ids generated from two (or more) executions to form contiguous range. --- 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 #14568: [SPARK-10868] monotonicallyIncreasingId() supports offse...
Github user rxin commented on the issue: https://github.com/apache/spark/pull/14568 Is this actually going to solve the use case asked in SPARK-10868? The problem with monotonicallyIncreasingId is that it is actually not consecutive -- e.g. even if you have 200 records in this batch of update, the max id won't be 200. It will be some very large number (since the upper few bits are determined by the partition id). --- 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 tedyu commented on the issue: https://github.com/apache/spark/pull/14568 @hvanhovell Let me know if there is more I should do for this enhancement. 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/14568 Ok, so the maximum of the lower 33 bits would be the starting offset for the next batch. That is not super easy for an end user to do. Lets say a user inserts data from table a into table b, using this would require code like this: ```sql insert into b select *, monotonically_increasing_id((select max(id & 8589934591) from b)) as id from a ``` Other than that, the change looks pretty good. I left one last comment regarding the python code. --- 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 #14568: [SPARK-10868] monotonicallyIncreasingId() supports offse...
Github user tedyu commented on the issue: https://github.com/apache/spark/pull/14568 The addition of offset support allows users to concatenate rows from different datasets. --- 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 #14568: [SPARK-10868] monotonicallyIncreasingId() supports offse...
Github user tedyu commented on the issue: https://github.com/apache/spark/pull/14568 With: spark.range(0, 9, 1, 3).select(monotonically_increasing_id()).show I got: ``` +-+ |monotonically_increasing_id()| +-+ |0| |1| |2| | 8589934592| | 8589934593| | 8589934594| | 17179869184| | 17179869185| | 17179869186| +-+ ``` The next offset could be 3. --- 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 #14568: [SPARK-10868] monotonicallyIncreasingId() supports offse...
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/14568 Not super. I will try to explain why. `monotonically_increasing_id` constructs an id based on an increasing offset (the lower 33 bits) and the partition id (the upper 31 bits). The example given is not super realistic because it only seems to contain the one partition (id=0). In this case maximum id of the previous run would be usable as the seed. If you have more than one partition an issue emerges, for instance `range(0, 9, 1, 3).select(monotonically_increasing_id()).show` yields the following ids: ``` +-+ |monotonically_increasing_id()| +-+ |0| |1| |2| |3| |4| | 8589934592| | 8589934593| | 8589934594| | 8589934595| | 8589934596| +-+ ``` Which offset for the next run would you use in this case? Lets explore the the options we have: - Taking the maximum offset. This will probably lead to collisions between ids. - Calculating the maximum of the lower 33 bits. This relies heavily on the exact implementation of `monotonically_increasing_id`. What would you recommend an end user to do? --- 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 tedyu commented on the issue: https://github.com/apache/spark/pull/14568 @hvanhovell What do you think of the above reply ? --- 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 #14568: [SPARK-10868] monotonicallyIncreasingId() supports offse...
Github user tedyu commented on the issue: https://github.com/apache/spark/pull/14568 @hvanhovell As Martin said in JIRA: * Add the index column to A' - this time starting at 200, as there are already entries with id's from 0 to 199 (here, monotonicallyInreasingID( 200 ) is required.) * union A and A' Is the above sample good by you ? --- 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/14568 @tedyu the scala code is shaping up nicely. I do have a question regarding usage. How will this be used? The thing is that the `monotonically_increasing_id` returns an id based on the number of rows in a partition and the partition id. If I have read the JIRA correctly, someone wants to use this for is id generation in multiple batches. How would a user be able to provide a sensible offset? Could you create an example? --- 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 tedyu commented on the issue: https://github.com/apache/spark/pull/14568 @rxin Can you take a look at the python API one more time ? --- 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 tedyu commented on the issue: https://github.com/apache/spark/pull/14568 ``` /home/jenkins/workspace/SparkPullRequestBuilder/dev/mima: line 37: 40498 Aborted (core dumped) java -XX:MaxPermSize=1g -Xmx2g -cp "$TOOLS_CLASSPATH:$OLD_DEPS_CLASSPATH" org.apache.spark.tools.GenerateMIMAIgnore [error] running /home/jenkins/workspace/SparkPullRequestBuilder/dev/mima -Pyarn -Phadoop-2.3 -Pkinesis-asl -Phive-thriftserver -Phive ; received return code 134 ``` Not sure what caused the core dump. --- 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 tedyu commented on the issue: https://github.com/apache/spark/pull/14568 @hvanhovell @rxin : Is there any other comment I should address ? 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 tedyu commented on the issue: https://github.com/apache/spark/pull/14568 ``` 16/08/10 15:35:12 DEBUG HiveSessionState$$anon$1: === Result of Batch Resolution === !'DeserializeToObject unresolveddeserializer(createexternalrow(getcolumnbyordinal(0, LongType), StructField(monotonically_increasing_id(),LongType,false))), obj#8: org.apache.spark.sql.Row DeserializeToObject createexternalrow(monotonically_increasing_id()#6L, StructField(monotonically_increasing_id(),LongType,false)), obj#8: org.apache.spark.sql.Row +- LocalRelation , [monotonically_increasing_id()#6L] +- LocalRelation , [monotonically_increasing_id()#6L] 16/08/10 15:35:12 DEBUG HiveSessionState$$anon$1: === Result of Batch Resolution === !'DeserializeToObject unresolveddeserializer(createexternalrow(getcolumnbyordinal(0, LongType), StructField(monotonically_increasing_id(),LongType,false))), obj#10: org.apache.spark.sql.Row DeserializeToObject createexternalrow(monotonically_increasing_id()#6L, StructField(monotonically_increasing_id(),LongType,false)), obj#10: org.apache.spark.sql.Row +- LocalRelation , [monotonically_increasing_id()#6L] +-LocalRelation , [monotonically_increasing_id()#6L] 16/08/10 15:35:12 DEBUG package$ExpressionCanonicalizer: === Result of Batch CleanExpressions === !input[0, int, true] AS value#2 input[0, int, true] !+- input[0, int, true] 16/08/10 15:35:12 DEBUG package$ExpressionCanonicalizer: === Result of Batch CleanExpressions === !monotonically_increasing_id(5) AS monotonically_increasing_id()#6L monotonically_increasing_id(5) !+- monotonically_increasing_id(5) ``` I wonder if there is necessary change that I missed. --- 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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