[SPARK-1377] Upgrade Jetty to 8.1.14v20131031 #280
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(Just in case anyone had the same question I did -- Jetty 8 does indeed only require Java 6 unlike Jetty 9) |
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Yep - that's the reason this is proposing going to 8 instead of 9... :) |
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All automated tests passed. |
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Looks like this one involved only very minor changes. So I'm gonna go ahead and merge this. |
pdeyhim
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Previous version was 7.6.8v20121106. The only difference between Jetty 7 and Jetty 8 is that the former uses Servlet API 2.5, while the latter uses Servlet API 3.0. Author: Andrew Or <andrewor14@gmail.com> Closes apache#280 from andrewor14/jetty-upgrade and squashes the following commits: dd57104 [Andrew Or] Merge github.com:apache/spark into jetty-upgrade e75fa85 [Andrew Or] Upgrade Jetty to 8.1.14v20131031
Igosuki
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bzhaoopenstack
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Sep 11, 2019
…c-clouds-jobs Unset AZ env and correct the orange auth_url to fix docker machine jobs
holdenk
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Sep 12, 2019
Update SparkHadoopUtil.scala
wangyum
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…runing ### What changes were proposed in this pull request? Remove `OptimizeSubqueries` from batch of `PartitionPruning` to make DPP support more cases. For example: ```sql SELECT date_id, product_id FROM fact_sk f JOIN (select store_id + 3 as new_store_id from dim_store where country = 'US') s ON f.store_id = s.new_store_id ``` Before this PR: ``` == Physical Plan == *(2) Project [date_id#3998, product_id#3999] +- *(2) BroadcastHashJoin [store_id#4001], [new_store_id#3997], Inner, BuildRight, false :- *(2) ColumnarToRow : +- FileScan parquet default.fact_sk[date_id#3998,product_id#3999,store_id#4001] Batched: true, DataFilters: [], Format: Parquet, PartitionFilters: [isnotnull(store_id#4001), dynamicpruningexpression(true)], PushedFilters: [], ReadSchema: struct<date_id:int,product_id:int> +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#274] +- *(1) Project [(store_id#4002 + 3) AS new_store_id#3997] +- *(1) Filter ((isnotnull(country#4004) AND (country#4004 = US)) AND isnotnull((store_id#4002 + 3))) +- *(1) ColumnarToRow +- FileScan parquet default.dim_store[store_id#4002,country#4004] Batched: true, DataFilters: [isnotnull(country#4004), (country#4004 = US), isnotnull((store_id#4002 + 3))], Format: Parquet, PartitionFilters: [], PushedFilters: [IsNotNull(country), EqualTo(country,US)], ReadSchema: struct<store_id:int,country:string> ``` After this PR: ``` == Physical Plan == *(2) Project [date_id#3998, product_id#3999] +- *(2) BroadcastHashJoin [store_id#4001], [new_store_id#3997], Inner, BuildRight, false :- *(2) ColumnarToRow : +- FileScan parquet default.fact_sk[date_id#3998,product_id#3999,store_id#4001] Batched: true, DataFilters: [], Format: Parquet, PartitionFilters: [isnotnull(store_id#4001), dynamicpruningexpression(store_id#4001 IN dynamicpruning#4007)], PushedFilters: [], ReadSchema: struct<date_id:int,product_id:int> : +- SubqueryBroadcast dynamicpruning#4007, 0, [new_store_id#3997], [id=#263] : +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#262] : +- *(1) Project [(store_id#4002 + 3) AS new_store_id#3997] : +- *(1) Filter ((isnotnull(country#4004) AND (country#4004 = US)) AND isnotnull((store_id#4002 + 3))) : +- *(1) ColumnarToRow : +- FileScan parquet default.dim_store[store_id#4002,country#4004] Batched: true, DataFilters: [isnotnull(country#4004), (country#4004 = US), isnotnull((store_id#4002 + 3))], Format: Parquet, PartitionFilters: [], PushedFilters: [IsNotNull(country), EqualTo(country,US)], ReadSchema: struct<store_id:int,country:string> +- ReusedExchange [new_store_id#3997], BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#262] ``` This is because `OptimizeSubqueries` will infer more filters, so we cannot reuse broadcasts. The following is the plan if disable `spark.sql.optimizer.dynamicPartitionPruning.reuseBroadcastOnly`: ``` == Physical Plan == *(2) Project [date_id#3998, product_id#3999] +- *(2) BroadcastHashJoin [store_id#4001], [new_store_id#3997], Inner, BuildRight, false :- *(2) ColumnarToRow : +- FileScan parquet default.fact_sk[date_id#3998,product_id#3999,store_id#4001] Batched: true, DataFilters: [], Format: Parquet, PartitionFilters: [isnotnull(store_id#4001), dynamicpruningexpression(store_id#4001 IN subquery#4009)], PushedFilters: [], ReadSchema: struct<date_id:int,product_id:int> : +- Subquery subquery#4009, [id=#284] : +- *(2) HashAggregate(keys=[new_store_id#3997#4008], functions=[]) : +- Exchange hashpartitioning(new_store_id#3997#4008, 5), ENSURE_REQUIREMENTS, [id=#280] : +- *(1) HashAggregate(keys=[new_store_id#3997 AS new_store_id#3997#4008], functions=[]) : +- *(1) Project [(store_id#4002 + 3) AS new_store_id#3997] : +- *(1) Filter (((isnotnull(store_id#4002) AND isnotnull(country#4004)) AND (country#4004 = US)) AND isnotnull((store_id#4002 + 3))) : +- *(1) ColumnarToRow : +- FileScan parquet default.dim_store[store_id#4002,country#4004] Batched: true, DataFilters: [isnotnull(store_id#4002), isnotnull(country#4004), (country#4004 = US), isnotnull((store_id#4002..., Format: Parquet, PartitionFilters: [], PushedFilters: [IsNotNull(store_id), IsNotNull(country), EqualTo(country,US)], ReadSchema: struct<store_id:int,country:string> +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#305] +- *(1) Project [(store_id#4002 + 3) AS new_store_id#3997] +- *(1) Filter ((isnotnull(country#4004) AND (country#4004 = US)) AND isnotnull((store_id#4002 + 3))) +- *(1) ColumnarToRow +- FileScan parquet default.dim_store[store_id#4002,country#4004] Batched: true, DataFilters: [isnotnull(country#4004), (country#4004 = US), isnotnull((store_id#4002 + 3))], Format: Parquet, PartitionFilters: [], PushedFilters: [IsNotNull(country), EqualTo(country,US)], ReadSchema: struct<store_id:int,country:string> ``` ### Why are the changes needed? Improve DPP to support more cases. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Unit test and benchmark test: SQL | Before this PR(Seconds) | After this PR(Seconds) -- | -- | -- TPC-DS q58 | 40 | 20 TPC-DS q83 | 18 | 14 Closes #33664 from wangyum/SPARK-36444. Authored-by: Yuming Wang <yumwang@ebay.com> Signed-off-by: Yuming Wang <yumwang@ebay.com>
wangyum
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Aug 19, 2021
…runing ### What changes were proposed in this pull request? Remove `OptimizeSubqueries` from batch of `PartitionPruning` to make DPP support more cases. For example: ```sql SELECT date_id, product_id FROM fact_sk f JOIN (select store_id + 3 as new_store_id from dim_store where country = 'US') s ON f.store_id = s.new_store_id ``` Before this PR: ``` == Physical Plan == *(2) Project [date_id#3998, product_id#3999] +- *(2) BroadcastHashJoin [store_id#4001], [new_store_id#3997], Inner, BuildRight, false :- *(2) ColumnarToRow : +- FileScan parquet default.fact_sk[date_id#3998,product_id#3999,store_id#4001] Batched: true, DataFilters: [], Format: Parquet, PartitionFilters: [isnotnull(store_id#4001), dynamicpruningexpression(true)], PushedFilters: [], ReadSchema: struct<date_id:int,product_id:int> +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#274] +- *(1) Project [(store_id#4002 + 3) AS new_store_id#3997] +- *(1) Filter ((isnotnull(country#4004) AND (country#4004 = US)) AND isnotnull((store_id#4002 + 3))) +- *(1) ColumnarToRow +- FileScan parquet default.dim_store[store_id#4002,country#4004] Batched: true, DataFilters: [isnotnull(country#4004), (country#4004 = US), isnotnull((store_id#4002 + 3))], Format: Parquet, PartitionFilters: [], PushedFilters: [IsNotNull(country), EqualTo(country,US)], ReadSchema: struct<store_id:int,country:string> ``` After this PR: ``` == Physical Plan == *(2) Project [date_id#3998, product_id#3999] +- *(2) BroadcastHashJoin [store_id#4001], [new_store_id#3997], Inner, BuildRight, false :- *(2) ColumnarToRow : +- FileScan parquet default.fact_sk[date_id#3998,product_id#3999,store_id#4001] Batched: true, DataFilters: [], Format: Parquet, PartitionFilters: [isnotnull(store_id#4001), dynamicpruningexpression(store_id#4001 IN dynamicpruning#4007)], PushedFilters: [], ReadSchema: struct<date_id:int,product_id:int> : +- SubqueryBroadcast dynamicpruning#4007, 0, [new_store_id#3997], [id=#263] : +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#262] : +- *(1) Project [(store_id#4002 + 3) AS new_store_id#3997] : +- *(1) Filter ((isnotnull(country#4004) AND (country#4004 = US)) AND isnotnull((store_id#4002 + 3))) : +- *(1) ColumnarToRow : +- FileScan parquet default.dim_store[store_id#4002,country#4004] Batched: true, DataFilters: [isnotnull(country#4004), (country#4004 = US), isnotnull((store_id#4002 + 3))], Format: Parquet, PartitionFilters: [], PushedFilters: [IsNotNull(country), EqualTo(country,US)], ReadSchema: struct<store_id:int,country:string> +- ReusedExchange [new_store_id#3997], BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#262] ``` This is because `OptimizeSubqueries` will infer more filters, so we cannot reuse broadcasts. The following is the plan if disable `spark.sql.optimizer.dynamicPartitionPruning.reuseBroadcastOnly`: ``` == Physical Plan == *(2) Project [date_id#3998, product_id#3999] +- *(2) BroadcastHashJoin [store_id#4001], [new_store_id#3997], Inner, BuildRight, false :- *(2) ColumnarToRow : +- FileScan parquet default.fact_sk[date_id#3998,product_id#3999,store_id#4001] Batched: true, DataFilters: [], Format: Parquet, PartitionFilters: [isnotnull(store_id#4001), dynamicpruningexpression(store_id#4001 IN subquery#4009)], PushedFilters: [], ReadSchema: struct<date_id:int,product_id:int> : +- Subquery subquery#4009, [id=#284] : +- *(2) HashAggregate(keys=[new_store_id#3997#4008], functions=[]) : +- Exchange hashpartitioning(new_store_id#3997#4008, 5), ENSURE_REQUIREMENTS, [id=#280] : +- *(1) HashAggregate(keys=[new_store_id#3997 AS new_store_id#3997#4008], functions=[]) : +- *(1) Project [(store_id#4002 + 3) AS new_store_id#3997] : +- *(1) Filter (((isnotnull(store_id#4002) AND isnotnull(country#4004)) AND (country#4004 = US)) AND isnotnull((store_id#4002 + 3))) : +- *(1) ColumnarToRow : +- FileScan parquet default.dim_store[store_id#4002,country#4004] Batched: true, DataFilters: [isnotnull(store_id#4002), isnotnull(country#4004), (country#4004 = US), isnotnull((store_id#4002..., Format: Parquet, PartitionFilters: [], PushedFilters: [IsNotNull(store_id), IsNotNull(country), EqualTo(country,US)], ReadSchema: struct<store_id:int,country:string> +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [id=#305] +- *(1) Project [(store_id#4002 + 3) AS new_store_id#3997] +- *(1) Filter ((isnotnull(country#4004) AND (country#4004 = US)) AND isnotnull((store_id#4002 + 3))) +- *(1) ColumnarToRow +- FileScan parquet default.dim_store[store_id#4002,country#4004] Batched: true, DataFilters: [isnotnull(country#4004), (country#4004 = US), isnotnull((store_id#4002 + 3))], Format: Parquet, PartitionFilters: [], PushedFilters: [IsNotNull(country), EqualTo(country,US)], ReadSchema: struct<store_id:int,country:string> ``` ### Why are the changes needed? Improve DPP to support more cases. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Unit test and benchmark test: SQL | Before this PR(Seconds) | After this PR(Seconds) -- | -- | -- TPC-DS q58 | 40 | 20 TPC-DS q83 | 18 | 14 Closes #33664 from wangyum/SPARK-36444. Authored-by: Yuming Wang <yumwang@ebay.com> Signed-off-by: Yuming Wang <yumwang@ebay.com> (cherry picked from commit 2310b99) Signed-off-by: Yuming Wang <yumwang@ebay.com>
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Previous version was 7.6.8v20121106. The only difference between Jetty 7 and Jetty 8 is that the former uses Servlet API 2.5, while the latter uses Servlet API 3.0.