Spark-1230: Enable SparkContext.addJars() to load jars absent from CLASSPATH #351
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… the driver Adds a driver-specific class loader that knows about the jars added via addJar(), and initialize it first thing in SparkEnv, so that all other ThreadPool/ActorSystem initialization will take advantage of the classloader, and user-added jars are made available to all Spark subsystems.
SparkEnv is used by Executor as well; we want this change to affect driver only.
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Refer to this link for build results: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/13867/ |
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I don't think this merges cleanly at present - mind up-merging it? Also the test utility has been merged into mater now so you can remove it from this PR. |
Conflicts: core/src/main/scala/org/apache/spark/SparkContext.scala core/src/test/scala/org/apache/spark/TestUtils.scala
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Refer to this link for build results: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/13886/ |
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since this has gone stale I'd like to close this issue until we have more progress on it. |
mccheah
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bzhaoopenstack
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Sep 11, 2019
Fix manageiq-providers-openstack-test-devstack issues
cloud-fan
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### What changes were proposed in this pull request? It is very common for a SQL query to query a table more than once. For example: ``` == Physical Plan == *(12) HashAggregate(keys=[cmn_mtrc_summ_dt#21, rev_rollup#1279, CASE WHEN (rev_rollup#1319 = rev_rollup#1279) THEN 0 ELSE 1 END#1366, CASE WHEN cast(sap_category_id#24 as decimal(10,0)) IN (5,7,23,41) THEN 0 ELSE 1 END#1367], functions=[sum(coalesce(bid_count#34, 0)), sum(coalesce(ck_trans_count#35, 0)), sum(coalesce(ended_bid_count#36, 0)), sum(coalesce(ended_lstg_count#37, 0)), sum(coalesce(ended_success_lstg_count#38, 0)), sum(coalesce(item_sold_count#39, 0)), sum(coalesce(new_lstg_count#40, 0)), sum(coalesce(gmv_us_amt#41, 0.00)), sum(coalesce(gmv_slr_lc_amt#42, 0.00)), sum(CheckOverflow((promote_precision(cast(coalesce(rvnu_insrtn_fee_us_amt#46, 0.000000) as decimal(19,6))) + promote_precision(cast(coalesce(rvnu_insrtn_crd_us_amt#50, 0.000000) as decimal(19,6)))), DecimalType(19,6), true)), sum(CheckOverflow((promote_precision(cast(coalesce(rvnu_fetr_fee_us_amt#54, 0.000000) as decimal(19,6))) + promote_precision(cast(coalesce(rvnu_fetr_crd_us_amt#58, 0.000000) as decimal(19,6)))), DecimalType(19,6), true)), sum(CheckOverflow((promote_precision(cast(coalesce(rvnu_fv_fee_us_amt#62, 0.000000) as decimal(19,6))) + promote_precision(cast(coalesce(rvnu_fv_crd_us_amt#67, 0.000000) as decimal(19,6)))), DecimalType(19,6), true)), sum(CheckOverflow((promote_precision(cast(coalesce(rvnu_othr_l_fee_us_amt#72, 0.000000) as decimal(19,6))) + promote_precision(cast(coalesce(rvnu_othr_l_crd_us_amt#76, 0.000000) as decimal(19,6)))), DecimalType(19,6), true)), sum(CheckOverflow((promote_precision(cast(coalesce(rvnu_othr_nl_fee_us_amt#80, 0.000000) as decimal(19,6))) + promote_precision(cast(coalesce(rvnu_othr_nl_crd_us_amt#84, 0.000000) as decimal(19,6)))), DecimalType(19,6), true)), sum(CheckOverflow((promote_precision(cast(coalesce(rvnu_slr_tools_fee_us_amt#88, 0.000000) as decimal(19,6))) + promote_precision(cast(coalesce(rvnu_slr_tools_crd_us_amt#92, 0.000000) as decimal(19,6)))), DecimalType(19,6), true)), sum(coalesce(rvnu_unasgnd_us_amt#96, 0.000000)), sum((coalesce(rvnu_transaction_us_amt#112, 0.0) + coalesce(rvnu_transaction_crd_us_amt#115, 0.0))), sum((coalesce(rvnu_total_us_amt#118, 0.0) + coalesce(rvnu_total_crd_us_amt#121, 0.0)))]) +- Exchange hashpartitioning(cmn_mtrc_summ_dt#21, rev_rollup#1279, CASE WHEN (rev_rollup#1319 = rev_rollup#1279) THEN 0 ELSE 1 END#1366, CASE WHEN cast(sap_category_id#24 as decimal(10,0)) IN (5,7,23,41) THEN 0 ELSE 1 END#1367, 200), true, [id=#403] +- *(11) HashAggregate(keys=[cmn_mtrc_summ_dt#21, rev_rollup#1279, CASE WHEN (rev_rollup#1319 = rev_rollup#1279) THEN 0 ELSE 1 END AS CASE WHEN (rev_rollup#1319 = rev_rollup#1279) THEN 0 ELSE 1 END#1366, CASE WHEN cast(sap_category_id#24 as decimal(10,0)) IN (5,7,23,41) THEN 0 ELSE 1 END AS CASE WHEN cast(sap_category_id#24 as decimal(10,0)) IN (5,7,23,41) THEN 0 ELSE 1 END#1367], functions=[partial_sum(coalesce(bid_count#34, 0)), partial_sum(coalesce(ck_trans_count#35, 0)), partial_sum(coalesce(ended_bid_count#36, 0)), partial_sum(coalesce(ended_lstg_count#37, 0)), partial_sum(coalesce(ended_success_lstg_count#38, 0)), partial_sum(coalesce(item_sold_count#39, 0)), partial_sum(coalesce(new_lstg_count#40, 0)), partial_sum(coalesce(gmv_us_amt#41, 0.00)), partial_sum(coalesce(gmv_slr_lc_amt#42, 0.00)), partial_sum(CheckOverflow((promote_precision(cast(coalesce(rvnu_insrtn_fee_us_amt#46, 0.000000) as decimal(19,6))) + promote_precision(cast(coalesce(rvnu_insrtn_crd_us_amt#50, 0.000000) as decimal(19,6)))), DecimalType(19,6), true)), partial_sum(CheckOverflow((promote_precision(cast(coalesce(rvnu_fetr_fee_us_amt#54, 0.000000) as decimal(19,6))) + promote_precision(cast(coalesce(rvnu_fetr_crd_us_amt#58, 0.000000) as decimal(19,6)))), DecimalType(19,6), true)), partial_sum(CheckOverflow((promote_precision(cast(coalesce(rvnu_fv_fee_us_amt#62, 0.000000) as decimal(19,6))) + promote_precision(cast(coalesce(rvnu_fv_crd_us_amt#67, 0.000000) as decimal(19,6)))), DecimalType(19,6), true)), partial_sum(CheckOverflow((promote_precision(cast(coalesce(rvnu_othr_l_fee_us_amt#72, 0.000000) as decimal(19,6))) + promote_precision(cast(coalesce(rvnu_othr_l_crd_us_amt#76, 0.000000) as decimal(19,6)))), DecimalType(19,6), true)), partial_sum(CheckOverflow((promote_precision(cast(coalesce(rvnu_othr_nl_fee_us_amt#80, 0.000000) as decimal(19,6))) + promote_precision(cast(coalesce(rvnu_othr_nl_crd_us_amt#84, 0.000000) as decimal(19,6)))), DecimalType(19,6), true)), partial_sum(CheckOverflow((promote_precision(cast(coalesce(rvnu_slr_tools_fee_us_amt#88, 0.000000) as decimal(19,6))) + promote_precision(cast(coalesce(rvnu_slr_tools_crd_us_amt#92, 0.000000) as decimal(19,6)))), DecimalType(19,6), true)), partial_sum(coalesce(rvnu_unasgnd_us_amt#96, 0.000000)), partial_sum((coalesce(rvnu_transaction_us_amt#112, 0.0) + coalesce(rvnu_transaction_crd_us_amt#115, 0.0))), partial_sum((coalesce(rvnu_total_us_amt#118, 0.0) + coalesce(rvnu_total_crd_us_amt#121, 0.0)))]) +- *(11) Project [cmn_mtrc_summ_dt#21, sap_category_id#24, bid_count#34, ck_trans_count#35, ended_bid_count#36, ended_lstg_count#37, ended_success_lstg_count#38, item_sold_count#39, new_lstg_count#40, gmv_us_amt#41, gmv_slr_lc_amt#42, rvnu_insrtn_fee_us_amt#46, rvnu_insrtn_crd_us_amt#50, rvnu_fetr_fee_us_amt#54, rvnu_fetr_crd_us_amt#58, rvnu_fv_fee_us_amt#62, rvnu_fv_crd_us_amt#67, rvnu_othr_l_fee_us_amt#72, rvnu_othr_l_crd_us_amt#76, rvnu_othr_nl_fee_us_amt#80, rvnu_othr_nl_crd_us_amt#84, rvnu_slr_tools_fee_us_amt#88, rvnu_slr_tools_crd_us_amt#92, rvnu_unasgnd_us_amt#96, ... 6 more fields] +- *(11) BroadcastHashJoin [byr_cntry_id#23], [cntry_id#1309], LeftOuter, BuildRight :- *(11) Project [cmn_mtrc_summ_dt#21, byr_cntry_id#23, sap_category_id#24, bid_count#34, ck_trans_count#35, ended_bid_count#36, ended_lstg_count#37, ended_success_lstg_count#38, item_sold_count#39, new_lstg_count#40, gmv_us_amt#41, gmv_slr_lc_amt#42, rvnu_insrtn_fee_us_amt#46, rvnu_insrtn_crd_us_amt#50, rvnu_fetr_fee_us_amt#54, rvnu_fetr_crd_us_amt#58, rvnu_fv_fee_us_amt#62, rvnu_fv_crd_us_amt#67, rvnu_othr_l_fee_us_amt#72, rvnu_othr_l_crd_us_amt#76, rvnu_othr_nl_fee_us_amt#80, rvnu_othr_nl_crd_us_amt#84, rvnu_slr_tools_fee_us_amt#88, rvnu_slr_tools_crd_us_amt#92, ... 6 more fields] : +- *(11) BroadcastHashJoin [slr_cntry_id#28], [cntry_id#1269], LeftOuter, BuildRight : :- *(11) Project [gen_attr_1#360 AS cmn_mtrc_summ_dt#21, gen_attr_5#267 AS byr_cntry_id#23, gen_attr_7#268 AS sap_category_id#24, gen_attr_15#272 AS slr_cntry_id#28, gen_attr_27#278 AS bid_count#34, gen_attr_29#279 AS ck_trans_count#35, gen_attr_31#280 AS ended_bid_count#36, gen_attr_33#282 AS ended_lstg_count#37, gen_attr_35#283 AS ended_success_lstg_count#38, gen_attr_37#284 AS item_sold_count#39, gen_attr_39#281 AS new_lstg_count#40, gen_attr_41#285 AS gmv_us_amt#41, gen_attr_43#287 AS gmv_slr_lc_amt#42, gen_attr_51#290 AS rvnu_insrtn_fee_us_amt#46, gen_attr_59#294 AS rvnu_insrtn_crd_us_amt#50, gen_attr_67#298 AS rvnu_fetr_fee_us_amt#54, gen_attr_75#302 AS rvnu_fetr_crd_us_amt#58, gen_attr_83#306 AS rvnu_fv_fee_us_amt#62, gen_attr_93#311 AS rvnu_fv_crd_us_amt#67, gen_attr_103#316 AS rvnu_othr_l_fee_us_amt#72, gen_attr_111#320 AS rvnu_othr_l_crd_us_amt#76, gen_attr_119#324 AS rvnu_othr_nl_fee_us_amt#80, gen_attr_127#328 AS rvnu_othr_nl_crd_us_amt#84, gen_attr_135#332 AS rvnu_slr_tools_fee_us_amt#88, ... 6 more fields] : : +- *(11) BroadcastHashJoin [cast(gen_attr_308#777 as decimal(20,0))], [cast(gen_attr_309#803 as decimal(20,0))], LeftOuter, BuildRight : : :- *(11) Project [gen_attr_5#267, gen_attr_7#268, gen_attr_15#272, gen_attr_27#278, gen_attr_29#279, gen_attr_31#280, gen_attr_39#281, gen_attr_33#282, gen_attr_35#283, gen_attr_37#284, gen_attr_41#285, gen_attr_43#287, gen_attr_51#290, gen_attr_59#294, gen_attr_67#298, gen_attr_75#302, gen_attr_83#306, gen_attr_93#311, gen_attr_103#316, gen_attr_111#320, gen_attr_119#324, gen_attr_127#328, gen_attr_135#332, gen_attr_143#336, ... 6 more fields] : : : +- *(11) BroadcastHashJoin [cast(gen_attr_310#674 as int)], [cast(gen_attr_311#774 as int)], LeftOuter, BuildRight : : : :- *(11) Project [gen_attr_5#267, gen_attr_7#268, gen_attr_15#272, gen_attr_27#278, gen_attr_29#279, gen_attr_31#280, gen_attr_39#281, gen_attr_33#282, gen_attr_35#283, gen_attr_37#284, gen_attr_41#285, gen_attr_43#287, gen_attr_51#290, gen_attr_59#294, gen_attr_67#298, gen_attr_75#302, gen_attr_83#306, gen_attr_93#311, gen_attr_103#316, gen_attr_111#320, gen_attr_119#324, gen_attr_127#328, gen_attr_135#332, gen_attr_143#336, ... 6 more fields] : : : : +- *(11) BroadcastHashJoin [cast(gen_attr_5#267 as decimal(20,0))], [cast(gen_attr_312#665 as decimal(20,0))], LeftOuter, BuildRight : : : : :- *(11) Project [gen_attr_5#267, gen_attr_7#268, gen_attr_15#272, gen_attr_27#278, gen_attr_29#279, gen_attr_31#280, gen_attr_39#281, gen_attr_33#282, gen_attr_35#283, gen_attr_37#284, gen_attr_41#285, gen_attr_43#287, gen_attr_51#290, gen_attr_59#294, gen_attr_67#298, gen_attr_75#302, gen_attr_83#306, gen_attr_93#311, gen_attr_103#316, gen_attr_111#320, gen_attr_119#324, gen_attr_127#328, gen_attr_135#332, gen_attr_143#336, ... 5 more fields] : : : : : +- *(11) BroadcastHashJoin [cast(gen_attr_313#565 as decimal(20,0))], [cast(gen_attr_314#591 as decimal(20,0))], LeftOuter, BuildRight : : : : : :- *(11) Project [gen_attr_5#267, gen_attr_7#268, gen_attr_15#272, gen_attr_27#278, gen_attr_29#279, gen_attr_31#280, gen_attr_39#281, gen_attr_33#282, gen_attr_35#283, gen_attr_37#284, gen_attr_41#285, gen_attr_43#287, gen_attr_51#290, gen_attr_59#294, gen_attr_67#298, gen_attr_75#302, gen_attr_83#306, gen_attr_93#311, gen_attr_103#316, gen_attr_111#320, gen_attr_119#324, gen_attr_127#328, gen_attr_135#332, gen_attr_143#336, ... 6 more fields] : : : : : : +- *(11) BroadcastHashJoin [cast(gen_attr_315#462 as int)], [cast(gen_attr_316#562 as int)], LeftOuter, BuildRight : : : : : : :- *(11) Project [gen_attr_5#267, gen_attr_7#268, gen_attr_15#272, gen_attr_27#278, gen_attr_29#279, gen_attr_31#280, gen_attr_39#281, gen_attr_33#282, gen_attr_35#283, gen_attr_37#284, gen_attr_41#285, gen_attr_43#287, gen_attr_51#290, gen_attr_59#294, gen_attr_67#298, gen_attr_75#302, gen_attr_83#306, gen_attr_93#311, gen_attr_103#316, gen_attr_111#320, gen_attr_119#324, gen_attr_127#328, gen_attr_135#332, gen_attr_143#336, ... 6 more fields] : : : : : : : +- *(11) BroadcastHashJoin [cast(gen_attr_15#272 as decimal(20,0))], [cast(gen_attr_317#453 as decimal(20,0))], LeftOuter, BuildRight : : : : : : : :- *(11) Project [gen_attr_5#267, gen_attr_7#268, gen_attr_15#272, gen_attr_27#278, gen_attr_29#279, gen_attr_31#280, gen_attr_39#281, gen_attr_33#282, gen_attr_35#283, gen_attr_37#284, gen_attr_41#285, gen_attr_43#287, gen_attr_51#290, gen_attr_59#294, gen_attr_67#298, gen_attr_75#302, gen_attr_83#306, gen_attr_93#311, gen_attr_103#316, gen_attr_111#320, gen_attr_119#324, gen_attr_127#328, gen_attr_135#332, gen_attr_143#336, ... 5 more fields] : : : : : : : : +- *(11) BroadcastHashJoin [cast(gen_attr_25#277 as decimal(20,0))], [cast(gen_attr_318#379 as decimal(20,0))], LeftOuter, BuildRight : : : : : : : : :- *(11) Project [gen_attr_5#267, gen_attr_7#268, gen_attr_15#272, gen_attr_25#277, gen_attr_27#278, gen_attr_29#279, gen_attr_31#280, gen_attr_39#281, gen_attr_33#282, gen_attr_35#283, gen_attr_37#284, gen_attr_41#285, gen_attr_43#287, gen_attr_51#290, gen_attr_59#294, gen_attr_67#298, gen_attr_75#302, gen_attr_83#306, gen_attr_93#311, gen_attr_103#316, gen_attr_111#320, gen_attr_119#324, gen_attr_127#328, gen_attr_135#332, ... 6 more fields] : : : : : : : : : +- *(11) BroadcastHashJoin [cast(gen_attr_23#276 as decimal(20,0))], [cast(gen_attr_319#367 as decimal(20,0))], LeftOuter, BuildRight : : : : : : : : : :- *(11) Project [byr_cntry_id#1169 AS gen_attr_5#267, sap_category_id#1170 AS gen_attr_7#268, slr_cntry_id#1174 AS gen_attr_15#272, lstg_curncy_id#1178 AS gen_attr_23#276, blng_curncy_id#1179 AS gen_attr_25#277, bid_count#1180 AS gen_attr_27#278, ck_trans_count#1181 AS gen_attr_29#279, ended_bid_count#1182 AS gen_attr_31#280, new_lstg_count#1183 AS gen_attr_39#281, ended_lstg_count#1184 AS gen_attr_33#282, ended_success_lstg_count#1185 AS gen_attr_35#283, item_sold_count#1186 AS gen_attr_37#284, gmv_us_amt#1187 AS gen_attr_41#285, gmv_slr_lc_amt#1189 AS gen_attr_43#287, rvnu_insrtn_fee_us_amt#1192 AS gen_attr_51#290, rvnu_insrtn_crd_us_amt#1196 AS gen_attr_59#294, rvnu_fetr_fee_us_amt#1200 AS gen_attr_67#298, rvnu_fetr_crd_us_amt#1204 AS gen_attr_75#302, rvnu_fv_fee_us_amt#1208 AS gen_attr_83#306, rvnu_fv_crd_us_amt#1213 AS gen_attr_93#311, rvnu_othr_l_fee_us_amt#1218 AS gen_attr_103#316, rvnu_othr_l_crd_us_amt#1222 AS gen_attr_111#320, rvnu_othr_nl_fee_us_amt#1226 AS gen_attr_119#324, rvnu_othr_nl_crd_us_amt#1230 AS gen_attr_127#328, ... 7 more fields] : : : : : : : : : : +- *(11) ColumnarToRow : : : : : : : : : : +- FileScan parquet default.big_table1[byr_cntry_id#1169,sap_category_id#1170,slr_cntry_id#1174,lstg_curncy_id#1178,blng_curncy_id#1179,bid_count#1180,ck_trans_count#1181,ended_bid_count#1182,new_lstg_count#1183,ended_lstg_count#1184,ended_success_lstg_count#1185,item_sold_count#1186,gmv_us_amt#1187,gmv_slr_lc_amt#1189,rvnu_insrtn_fee_us_amt#1192,rvnu_insrtn_crd_us_amt#1196,rvnu_fetr_fee_us_amt#1200,rvnu_fetr_crd_us_amt#1204,rvnu_fv_fee_us_amt#1208,rvnu_fv_crd_us_amt#1213,rvnu_othr_l_fee_us_amt#1218,rvnu_othr_l_crd_us_amt#1222,rvnu_othr_nl_fee_us_amt#1226,rvnu_othr_nl_crd_us_amt#1230,... 7 more fields] Batched: true, DataFilters: [], Format: Parquet, Location: PrunedInMemoryFileIndex[], PartitionFilters: [isnotnull(cmn_mtrc_summ_dt#1262), (cmn_mtrc_summ_dt#1262 >= 18078), (cmn_mtrc_summ_dt#1262 <= 18..., PushedFilters: [], ReadSchema: struct<byr_cntry_id:decimal(4,0),sap_category_id:decimal(9,0),slr_cntry_id:decimal(4,0),lstg_curn... : : : : : : : : : +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, decimal(9,0), true] as decimal(20,0)))), [id=#288] : : : : : : : : : +- *(1) Project [CURNCY_ID#1263 AS gen_attr_319#367] : : : : : : : : : +- *(1) Filter isnotnull(CURNCY_ID#1263) : : : : : : : : : +- *(1) ColumnarToRow : : : : : : : : : +- FileScan parquet default.small_table1[CURNCY_ID#1263] Batched: true, DataFilters: [isnotnull(CURNCY_ID#1263)], Format: Parquet, Location: InMemoryFileIndex[file:/user/hive/warehouse/small_table1], PartitionFilters: [], PushedFilters: [IsNotNull(CURNCY_ID)], ReadSchema: struct<CURNCY_ID:decimal(9,0)>, SelectedBucketsCount: 1 out of 1 : : : : : : : : +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, decimal(9,0), true] as decimal(20,0)))), [id=#297] : : : : : : : : +- *(2) Project [CURNCY_ID#1263 AS gen_attr_318#379] : : : : : : : : +- *(2) Filter isnotnull(CURNCY_ID#1263) : : : : : : : : +- *(2) ColumnarToRow : : : : : : : : +- FileScan parquet default.small_table1[CURNCY_ID#1263] Batched: true, DataFilters: [isnotnull(CURNCY_ID#1263)], Format: Parquet, Location: InMemoryFileIndex[file:/user/hive/warehouse/small_table1], PartitionFilters: [], PushedFilters: [IsNotNull(CURNCY_ID)], ReadSchema: struct<CURNCY_ID:decimal(9,0)>, SelectedBucketsCount: 1 out of 1 : : : : : : : +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, decimal(4,0), true] as decimal(20,0)))), [id=#306] : : : : : : : +- *(3) Project [cntry_id#1269 AS gen_attr_317#453, rev_rollup_id#1278 AS gen_attr_315#462] : : : : : : : +- *(3) Filter isnotnull(cntry_id#1269) : : : : : : : +- *(3) ColumnarToRow : : : : : : : +- FileScan parquet default.small_table2[cntry_id#1269,rev_rollup_id#1278] Batched: true, DataFilters: [isnotnull(cntry_id#1269)], Format: Parquet, Location: InMemoryFileIndex[file:/user/hive/warehouse/small_table2], PartitionFilters: [], PushedFilters: [IsNotNull(cntry_id)], ReadSchema: struct<cntry_id:decimal(4,0),rev_rollup_id:smallint> : : : : : : +- BroadcastExchange HashedRelationBroadcastMode(List(cast(cast(input[0, smallint, true] as int) as bigint))), [id=#315] : : : : : : +- *(4) Project [rev_rollup_id#1286 AS gen_attr_316#562, curncy_id#1289 AS gen_attr_313#565] : : : : : : +- *(4) Filter isnotnull(rev_rollup_id#1286) : : : : : : +- *(4) ColumnarToRow : : : : : : +- FileScan parquet default.small_table3[rev_rollup_id#1286,curncy_id#1289] Batched: true, DataFilters: [isnotnull(rev_rollup_id#1286)], Format: Parquet, Location: InMemoryFileIndex[file:/user/hive/warehouse/small_table3], PartitionFilters: [], PushedFilters: [IsNotNull(rev_rollup_id)], ReadSchema: struct<rev_rollup_id:smallint,curncy_id:decimal(4,0)> : : : : : +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, decimal(9,0), true] as decimal(20,0)))), [id=#324] : : : : : +- *(5) Project [CURNCY_ID#1263 AS gen_attr_314#591] : : : : : +- *(5) Filter isnotnull(CURNCY_ID#1263) : : : : : +- *(5) ColumnarToRow : : : : : +- FileScan parquet default.small_table1[CURNCY_ID#1263] Batched: true, DataFilters: [isnotnull(CURNCY_ID#1263)], Format: Parquet, Location: InMemoryFileIndex[file:/user/hive/warehouse/small_table1], PartitionFilters: [], PushedFilters: [IsNotNull(CURNCY_ID)], ReadSchema: struct<CURNCY_ID:decimal(9,0)>, SelectedBucketsCount: 1 out of 1 : : : : +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, decimal(4,0), true] as decimal(20,0)))), [id=#333] : : : : +- *(6) Project [cntry_id#1269 AS gen_attr_312#665, rev_rollup_id#1278 AS gen_attr_310#674] : : : : +- *(6) Filter isnotnull(cntry_id#1269) : : : : +- *(6) ColumnarToRow : : : : +- FileScan parquet default.small_table2[cntry_id#1269,rev_rollup_id#1278] Batched: true, DataFilters: [isnotnull(cntry_id#1269)], Format: Parquet, Location: InMemoryFileIndex[file:/user/hive/warehouse/small_table2], PartitionFilters: [], PushedFilters: [IsNotNull(cntry_id)], ReadSchema: struct<cntry_id:decimal(4,0),rev_rollup_id:smallint> : : : +- BroadcastExchange HashedRelationBroadcastMode(List(cast(cast(input[0, smallint, true] as int) as bigint))), [id=#342] : : : +- *(7) Project [rev_rollup_id#1286 AS gen_attr_311#774, curncy_id#1289 AS gen_attr_308#777] : : : +- *(7) Filter isnotnull(rev_rollup_id#1286) : : : +- *(7) ColumnarToRow : : : +- FileScan parquet default.small_table3[rev_rollup_id#1286,curncy_id#1289] Batched: true, DataFilters: [isnotnull(rev_rollup_id#1286)], Format: Parquet, Location: InMemoryFileIndex[file:/user/hive/warehouse/small_table3], PartitionFilters: [], PushedFilters: [IsNotNull(rev_rollup_id)], ReadSchema: struct<rev_rollup_id:smallint,curncy_id:decimal(4,0)> : : +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, decimal(9,0), true] as decimal(20,0)))), [id=#351] : : +- *(8) Project [CURNCY_ID#1263 AS gen_attr_309#803] : : +- *(8) Filter isnotnull(CURNCY_ID#1263) : : +- *(8) ColumnarToRow : : +- FileScan parquet default.small_table1[CURNCY_ID#1263] Batched: true, DataFilters: [isnotnull(CURNCY_ID#1263)], Format: Parquet, Location: InMemoryFileIndex[file:/user/hive/warehouse/small_table1], PartitionFilters: [], PushedFilters: [IsNotNull(CURNCY_ID)], ReadSchema: struct<CURNCY_ID:decimal(9,0)>, SelectedBucketsCount: 1 out of 1 : +- BroadcastExchange HashedRelationBroadcastMode(List(input[0, decimal(4,0), true])), [id=#360] : +- *(9) Project [cntry_id#1269, rev_rollup#1279] : +- *(9) Filter isnotnull(cntry_id#1269) : +- *(9) ColumnarToRow : +- FileScan parquet default.small_table2[cntry_id#1269,rev_rollup#1279] Batched: true, DataFilters: [isnotnull(cntry_id#1269)], Format: Parquet, Location: InMemoryFileIndex[file:/user/hive/warehouse/small_table2], PartitionFilters: [], PushedFilters: [IsNotNull(cntry_id)], ReadSchema: struct<cntry_id:decimal(4,0),rev_rollup:string> +- ReusedExchange [cntry_id#1309, rev_rollup#1319], BroadcastExchange HashedRelationBroadcastMode(List(input[0, decimal(4,0), true])), [id=#360] ``` This PR try to improve `ResolveTables` and `ResolveRelations` performance by reducing the connection times to Hive Metastore Server in such case. ### Why are the changes needed? 1. Reduce the connection times to Hive Metastore Server. 2. Improve `ResolveTables` and `ResolveRelations` performance. ### Does this PR introduce any user-facing change? No. ### How was this patch tested? manual test. After [SPARK-29606](https://issues.apache.org/jira/browse/SPARK-29606) and before this PR: ``` === Metrics of Analyzer/Optimizer Rules === Total number of runs: 9323 Total time: 2.687441263 seconds Rule Effective Time / Total Time Effective Runs / Total Runs org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations 929173767 / 930133504 2 / 18 org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveTables 0 / 383363402 0 / 18 org.apache.spark.sql.catalyst.optimizer.EliminateOuterJoin 0 / 99433540 0 / 4 org.apache.spark.sql.catalyst.analysis.DecimalPrecision 41809394 / 83727901 2 / 18 org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions 71372977 / 71372977 1 / 1 org.apache.spark.sql.catalyst.analysis.TypeCoercion$ImplicitTypeCasts 0 / 59071933 0 / 18 org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences 37858325 / 58471776 5 / 18 org.apache.spark.sql.catalyst.analysis.TypeCoercion$PromoteStrings 20889892 / 53229016 1 / 18 org.apache.spark.sql.catalyst.analysis.TypeCoercion$FunctionArgumentConversion 23428968 / 50890815 1 / 18 org.apache.spark.sql.catalyst.analysis.TypeCoercion$InConversion 23230666 / 49182607 1 / 18 org.apache.spark.sql.catalyst.analysis.Analyzer$ExtractGenerator 0 / 43638350 0 / 18 org.apache.spark.sql.catalyst.optimizer.ColumnPruning 17194844 / 42530885 1 / 6 ``` After [SPARK-29606](https://issues.apache.org/jira/browse/SPARK-29606) and after this PR: ``` === Metrics of Analyzer/Optimizer Rules === Total number of runs: 9323 Total time: 2.163765869 seconds Rule Effective Time / Total Time Effective Runs / Total Runs org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations 658905353 / 659829383 2 / 18 org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveTables 0 / 220708715 0 / 18 org.apache.spark.sql.catalyst.optimizer.EliminateOuterJoin 0 / 99606816 0 / 4 org.apache.spark.sql.catalyst.analysis.DecimalPrecision 39616060 / 78215752 2 / 18 org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences 36706549 / 54917789 5 / 18 org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions 53561921 / 53561921 1 / 1 org.apache.spark.sql.catalyst.analysis.TypeCoercion$ImplicitTypeCasts 0 / 52329678 0 / 18 org.apache.spark.sql.catalyst.analysis.TypeCoercion$PromoteStrings 20945755 / 49695998 1 / 18 org.apache.spark.sql.catalyst.analysis.TypeCoercion$FunctionArgumentConversion 20872241 / 46740145 1 / 18 org.apache.spark.sql.catalyst.analysis.TypeCoercion$InConversion 19780298 / 44327227 1 / 18 org.apache.spark.sql.catalyst.analysis.Analyzer$ExtractGenerator 0 / 42312023 0 / 18 org.apache.spark.sql.catalyst.optimizer.ColumnPruning 17197393 / 39501424 1 / 6 ``` Closes #26589 from wangyum/SPARK-29947. Authored-by: Yuming Wang <[email protected]> Signed-off-by: Wenchen Fan <[email protected]>
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This is an up-merge of @pwendell's PR, #119, which was itself an up-merge of my original PR, https://github.com/apache/incubator-spark/pull/299.
The basic idea is to add a class loader to SparkContext so that jars added via
addJars()can be made available to the SparkContext driver and its threads as well. PresentlyaddJars()only adds the jars to the executor's classloader.I have merged in changes and fixed the tests so they should all pass. I will address comments in subsequent changes.