[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/14136 Hi @rxin, I was reading related codes around this and saw - https://github.com/apache/spark/pull/14136#discussion_r84591480. It looks many suggestions for calculating median are workarounds (e.g., https://stackoverflow.com/a/31437177). I want to use `approximate_percentile` or `percentile` in groupby/pivot and I tried to deal with this problem for few days. I ended up with a weird code as below, e.g.,: ```python from pyspark.sql.functions import * from pyspark.sql.column import Column, _to_java_column def approximate_percentile(child, percentage, accuracy=lit(1)): percentile_expr = spark.sparkContext._jvm.org.apache.spark.sql.catalyst.expressions.aggregate.ApproximatePercentile child_expr = _to_java_column(child).expr() percentage_expr = _to_java_column(percentage).expr() accuracy_expr = _to_java_column(accuracy).expr() agg_func = percentile_expr(child_expr, percentage_expr, accuracy_expr) return Column(spark._jvm.org.apache.spark.sql.Column(agg_func.toAggregateExpression())) df = spark.range(1) df.select(approximate_percentile(df.id, lit(0.5))).show() ``` This code might be easily broken by Spark version as it accesses to internal packages via JVM. I use Scala/R but also PySpark specifically to avoid version compatibility problem (even between Spark 1.6.x and Spark 2.x) in many cases but this one now becomes flaky. Another alternative should be to port existing logic in application side to SQL ones but I was wondering if I really should do this for single case. It might be expensive but exposing it might also promote users to test this at least. Could we expose this in Scala/Python/R? It should be pretty easy to expose this. Or, did I misunderstand the context and other workarounds? cc @srowen and @zero323 who I saw answered to the questions related with this outside (e.g., stackoverflow). --- 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 #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/14136 @rxin this is a very contained patch. It only adds the percentile function. The advantage here is that this further reduces our dependency on relatively slow Hive UDAFs (one more to go), and that we don't have to put in horrible patches like https://github.com/apache/spark/pull/16034. --- 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 #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user rxin commented on the issue: https://github.com/apache/spark/pull/14136 @hvanhovell why did this go into branch-2.1? It's way past branch cut 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
[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/14136 LGTM. Merging to master/2.1. 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 #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/14136 Currently `ImplicitTypeCasts` doesn't support cast between `ArrayType(elementType)`s, so we have to support `ArrayType(NumericType)` for now. When we have add that support, we could make the code for analyze `percentageExpression` more concise. --- 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 #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/14136 retest this please. --- 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 #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/14136 @jiangxb1987 like we discussed offline. Lets re-implement this as a TypedImperativeAggregate. --- 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 jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/14136 ping @hvanhovell --- 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 jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/14136 ping @hvanhovell --- 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 #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/14136 @hvanhovell I've added an test suite to test `Percentile` directly, please have a look when you have time. Thank 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
[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/14136 @rxin @hvanhovell Thanks for your advice, I'll address them ASAP! --- 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 #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user rxin commented on the issue: https://github.com/apache/spark/pull/14136 @jiangxb1987 can you add some test cases based on Herman's 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
[GitHub] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/14136 It is relatively straight forward to test `ImperativeAggregate`s. See: - org.apache.spark.sql.catalyst.expressions.aggregate.HyperLogLogPlusPlusSuite - org.apache.spark.sql.catalyst.expressions.aggregate.ApproximatePercentileSuite For some inspiration. --- 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 #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user rxin commented on the issue: https://github.com/apache/spark/pull/14136 Is there a way we can add some expression level unit tests for this? I realized we don't really have existing infrastructure for unit testing aggregate expressions (only for non-aggregate expressions). --- 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 #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user rxin commented on the issue: https://github.com/apache/spark/pull/14136 I think we can merge this one first, since it is no worse than the Hive one. Then we can think about how to make it more robust. cc @hvanhovell --- 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 #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/14136 @rxin What do we need to update to make this PR accepted? Please give some advice, many 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 #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user rxin commented on the issue: https://github.com/apache/spark/pull/14136 We definitely need this as a native implementation. One thing we should think about is memory management. collect_list, collect_set, and percentile are examples of functions that are very memory heavy and can easily OOM. --- 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 #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/14136 @hvanhovell In HIVE we have both of `percentile` and `percentile_approx` functions, the `percentile` function gives a precise result but requires more computing resouces, so maybe we should still support `percentile` function in Spark SQL? --- 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 #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/14136 @jiangxb1987 I think this has been superseded by https://github.com/apache/spark/commit/a18c169fd050e71fdb07b153ae0fa5c410d8de27 Could you close your PR if this is the case? --- 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 #14136: [SPARK-16282][SQL] Implement percentile SQL function.
Github user jiangxb1987 commented on the issue: https://github.com/apache/spark/pull/14136 @hvanhovell Could you look at this PR? Thank 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] spark issue #14136: [SPARK-16282][SQL] Implement percentile SQL function.
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