yaooqinn commented on pull request #31012:
URL: https://github.com/apache/spark/pull/31012#issuecomment-764204457
```
== Optimized Logical Plan ==
GlobalLimit 100, Statistics(sizeInBytes=14.8 KiB, rowCount=100)
+- LocalLimit 100, Statistics(sizeInBytes=254.6 MiB, rowCount=1.92E+6)
+- Sort [cd_gender#305 ASC NULLS FIRST, cd_marital_status#306 ASC NULLS
FIRST, cd_education_status#307 ASC NULLS FIRST, cd_purchase_estimate#50 ASC
NULLS FIRST, cd_credit_rating#308 ASC NULLS FIRST, cd_dep_count#52 ASC NULLS
FIRST, cd_dep_employed_count#53 ASC NULLS FIRST, cd_dep_college_count#54 ASC
NULLS FIRST], true, Statistics(sizeInBytes=254.6 MiB, rowCount=1.92E+6)
+- Aggregate [cd_gender#305, cd_marital_status#306,
cd_education_status#307, cd_purchase_estimate#50, cd_credit_rating#308,
cd_dep_count#52, cd_dep_employed_count#53, cd_dep_college_count#54],
[cd_gender#305, cd_marital_status#306, cd_education_status#307, count(1) AS
cnt1#0L, cd_purchase_estimate#50, count(1) AS cnt2#1L, cd_credit_rating#308,
count(1) AS cnt3#2L, cd_dep_count#52, count(1) AS cnt4#3L,
cd_dep_employed_count#53, count(1) AS cnt5#4L, cd_dep_college_count#54,
count(1) AS cnt6#5L], Statistics(sizeInBytes=254.6 MiB, rowCount=1.92E+6)
+- Project [cd_gender#305, cd_marital_status#306,
cd_education_status#307, cd_purchase_estimate#50, cd_credit_rating#308,
cd_dep_count#52, cd_dep_employed_count#53, cd_dep_college_count#54],
Statistics(sizeInBytes=184.7 MiB, rowCount=2.13E+6)
+- Join Inner, (cd_demo_sk#46 = c_current_cdemo_sk#17),
Statistics(sizeInBytes=200.9 MiB, rowCount=2.13E+6)
:- Project [c_current_cdemo_sk#17],
Statistics(sizeInBytes=23.4 MiB, rowCount=2.05E+6)
: +- Join Inner, (c_current_addr_sk#19 = ca_address_sk#33),
Statistics(sizeInBytes=39.0 MiB, rowCount=2.05E+6)
: :- Project [c_current_cdemo_sk#17,
c_current_addr_sk#19], Statistics(sizeInBytes=29.5 MiB, rowCount=1.93E+6)
: : +- Join LeftSemi, (customer_sk#8 =
c_customer_sk#15), Statistics(sizeInBytes=36.8 MiB, rowCount=1.93E+6)
: : :- Join LeftSemi, (customer_sk#6 =
c_customer_sk#15), Statistics(sizeInBytes=36.8 MiB, rowCount=1.93E+6)
: : : :- Project [c_customer_sk#15,
c_current_cdemo_sk#17, c_current_addr_sk#19], Statistics(sizeInBytes=36.8 MiB,
rowCount=1.93E+6)
: : : : +- Filter ((isnotnull(c_customer_sk#15) AND
isnotnull(c_current_addr_sk#19)) AND isnotnull(c_current_cdemo_sk#17)),
Statistics(sizeInBytes=438.1 MiB, rowCount=1.93E+6)
: : : : +-
Relation[c_customer_sk#15,c_customer_id#16,c_current_cdemo_sk#17,c_current_hdemo_sk#18,c_current_addr_sk#19,c_first_shipto_date_sk#20,c_first_sales_date_sk#21,c_salutation#22,c_first_name#23,c_last_name#24,c_preferred_cust_flag#25,c_birth_day#26,c_birth_month#27,c_birth_year#28,c_birth_country#29,c_login#30,c_email_address#31,c_last_review_date#32]
parquet, Statistics(sizeInBytes=453.9 MiB, rowCount=2.00E+6)
: : : +- Union false, false,
Statistics(sizeInBytes=137.8 MiB, rowCount=1.20E+7)
: : : :- Project [ws_bill_customer_sk#59 AS
customer_sk#6], Statistics(sizeInBytes=45.8 MiB, rowCount=4.00E+6)
: : : : +- Join Inner, (ws_sold_date_sk#55 =
d_date_sk#89), Statistics(sizeInBytes=76.3 MiB, rowCount=4.00E+6)
: : : : :- Project [ws_sold_date_sk#55,
ws_bill_customer_sk#59], Statistics(sizeInBytes=1098.1 MiB, rowCount=7.20E+7)
: : : : : +- Filter
(isnotnull(ws_sold_date_sk#55) AND isnotnull(ws_bill_customer_sk#59)),
Statistics(sizeInBytes=13.7 GiB, rowCount=7.20E+7)
: : : : : +-
Relation[ws_sold_date_sk#55,ws_sold_time_sk#56,ws_ship_date_sk#57,ws_item_sk#58,ws_bill_customer_sk#59,ws_bill_cdemo_sk#60,ws_bill_hdemo_sk#61,ws_bill_addr_sk#62,ws_ship_customer_sk#63,ws_ship_cdemo_sk#64,ws_ship_hdemo_sk#65,ws_ship_addr_sk#66,ws_web_page_sk#67,ws_web_site_sk#68,ws_ship_mode_sk#69,ws_warehouse_sk#70,ws_promo_sk#71,ws_order_number#72,ws_quantity#73,ws_wholesale_cost#74,ws_list_price#75,ws_sales_price#76,ws_ext_discount_amt#77,ws_ext_sales_price#78,...
10 more fields] parquet, Statistics(sizeInBytes=13.7 GiB, rowCount=7.20E+7)
: : : : +- Project [d_date_sk#89],
Statistics(sizeInBytes=1188.0 B, rowCount=99)
: : : : +- Filter
(((((isnotnull(d_year#95) AND isnotnull(d_moy#97)) AND (d_year#95 = 2002)) AND
(d_moy#97 >= 4)) AND (d_moy#97 <= 7)) AND isnotnull(d_date_sk#89)),
Statistics(sizeInBytes=24.4 KiB, rowCount=99)
: : : : +-
Relation[d_date_sk#89,d_date_id#90,d_date#91,d_month_seq#92,d_week_seq#93,d_quarter_seq#94,d_year#95,d_dow#96,d_moy#97,d_dom#98,d_qoy#99,d_fy_year#100,d_fy_quarter_seq#101,d_fy_week_seq#102,d_day_name#103,d_quarter_name#104,d_holiday#105,d_weekend#106,d_following_holiday#107,d_first_dom#108,d_last_dom#109,d_same_day_ly#110,d_same_day_lq#111,d_current_day#112,...
4 more fields] parquet, Statistics(sizeInBytes=17.6 MiB, rowCount=7.30E+4)
: : : +- Project [cs_ship_customer_sk#124 AS
customer_sk#7], Statistics(sizeInBytes=92.0 MiB, rowCount=8.04E+6)
: : : +- Join Inner, (cs_sold_date_sk#117 =
d_date_sk#89), Statistics(sizeInBytes=153.4 MiB, rowCount=8.04E+6)
: : : :- Project [cs_sold_date_sk#117,
cs_ship_customer_sk#124], Statistics(sizeInBytes=2.1 GiB, rowCount=1.43E+8)
: : : : +- Filter
(isnotnull(cs_sold_date_sk#117) AND isnotnull(cs_ship_customer_sk#124)),
Statistics(sizeInBytes=27.1 GiB, rowCount=1.43E+8)
: : : : +-
Relation[cs_sold_date_sk#117,cs_sold_time_sk#118,cs_ship_date_sk#119,cs_bill_customer_sk#120,cs_bill_cdemo_sk#121,cs_bill_hdemo_sk#122,cs_bill_addr_sk#123,cs_ship_customer_sk#124,cs_ship_cdemo_sk#125,cs_ship_hdemo_sk#126,cs_ship_addr_sk#127,cs_call_center_sk#128,cs_catalog_page_sk#129,cs_ship_mode_sk#130,cs_warehouse_sk#131,cs_item_sk#132,cs_promo_sk#133,cs_order_number#134,cs_quantity#135,cs_wholesale_cost#136,cs_list_price#137,cs_sales_price#138,cs_ext_discount_amt#139,cs_ext_sales_price#140,...
10 more fields] parquet, Statistics(sizeInBytes=27.4 GiB, rowCount=1.44E+8)
: : : +- Project [d_date_sk#89],
Statistics(sizeInBytes=1188.0 B, rowCount=99)
: : : +- Filter
(((((isnotnull(d_year#95) AND isnotnull(d_moy#97)) AND (d_year#95 = 2002)) AND
(d_moy#97 >= 4)) AND (d_moy#97 <= 7)) AND isnotnull(d_date_sk#89)),
Statistics(sizeInBytes=24.4 KiB, rowCount=99)
: : : +-
Relation[d_date_sk#89,d_date_id#90,d_date#91,d_month_seq#92,d_week_seq#93,d_quarter_seq#94,d_year#95,d_dow#96,d_moy#97,d_dom#98,d_qoy#99,d_fy_year#100,d_fy_quarter_seq#101,d_fy_week_seq#102,d_day_name#103,d_quarter_name#104,d_holiday#105,d_weekend#106,d_following_holiday#107,d_first_dom#108,d_last_dom#109,d_same_day_ly#110,d_same_day_lq#111,d_current_day#112,...
4 more fields] parquet, Statistics(sizeInBytes=17.6 MiB, rowCount=7.30E+4)
: : +- Project [ss_customer_sk#154 AS customer_sk#8],
Statistics(sizeInBytes=183.1 MiB, rowCount=1.60E+7)
: : +- Join Inner, (ss_sold_date_sk#151 =
d_date_sk#89), Statistics(sizeInBytes=305.2 MiB, rowCount=1.60E+7)
: : :- Project [ss_sold_date_sk#151,
ss_customer_sk#154], Statistics(sizeInBytes=3.9 GiB, rowCount=2.63E+8)
: : : +- Filter
(isnotnull(ss_sold_date_sk#151) AND isnotnull(ss_customer_sk#154)),
Statistics(sizeInBytes=36.2 GiB, rowCount=2.63E+8)
: : : +-
Relation[ss_sold_date_sk#151,ss_sold_time_sk#152,ss_item_sk#153,ss_customer_sk#154,ss_cdemo_sk#155,ss_hdemo_sk#156,ss_addr_sk#157,ss_store_sk#158,ss_promo_sk#159,ss_ticket_number#160,ss_quantity#161,ss_wholesale_cost#162,ss_list_price#163,ss_sales_price#164,ss_ext_discount_amt#165,ss_ext_sales_price#166,ss_ext_wholesale_cost#167,ss_ext_list_price#168,ss_ext_tax#169,ss_coupon_amt#170,ss_net_paid#171,ss_net_paid_inc_tax#172,ss_net_profit#173]
parquet, Statistics(sizeInBytes=39.7 GiB, rowCount=2.88E+8)
: : +- Project [d_date_sk#89],
Statistics(sizeInBytes=1188.0 B, rowCount=99)
: : +- Filter (((((isnotnull(d_year#95) AND
isnotnull(d_moy#97)) AND (d_year#95 = 2002)) AND (d_moy#97 >= 4)) AND (d_moy#97
<= 7)) AND isnotnull(d_date_sk#89)), Statistics(sizeInBytes=24.4 KiB,
rowCount=99)
: : +-
Relation[d_date_sk#89,d_date_id#90,d_date#91,d_month_seq#92,d_week_seq#93,d_quarter_seq#94,d_year#95,d_dow#96,d_moy#97,d_dom#98,d_qoy#99,d_fy_year#100,d_fy_quarter_seq#101,d_fy_week_seq#102,d_day_name#103,d_quarter_name#104,d_holiday#105,d_weekend#106,d_following_holiday#107,d_first_dom#108,d_last_dom#109,d_same_day_ly#110,d_same_day_lq#111,d_current_day#112,...
4 more fields] parquet, Statistics(sizeInBytes=17.6 MiB, rowCount=7.30E+4)
: +- Project [ca_address_sk#33],
Statistics(sizeInBytes=11.4 MiB, rowCount=1.00E+6)
: +- Filter (staticinvoke(class
org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType,
varcharTypeReadSideCheck, ca_county#40, 30, false, true) IN (Walker
County,Richland County,Gaines County,Douglas County,Dona Ana County) AND
isnotnull(ca_address_sk#33)), Statistics(sizeInBytes=233.7 MiB,
rowCount=1.00E+6)
: +-
Relation[ca_address_sk#33,ca_address_id#34,ca_street_number#35,ca_street_name#36,ca_street_type#37,ca_suite_number#38,ca_city#39,ca_county#40,ca_state#41,ca_zip#42,ca_country#43,ca_gmt_offset#44,ca_location_type#45]
parquet, Statistics(sizeInBytes=233.7 MiB, rowCount=1.00E+6)
+- Project [cd_demo_sk#46, staticinvoke(class
org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType,
charTypeReadSideCheck, cd_gender#47, 1, false, true) AS cd_gender#305,
staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils,
StringType, charTypeReadSideCheck, cd_marital_status#48, 1, false, true) AS
cd_marital_status#306, staticinvoke(class
org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType,
charTypeReadSideCheck, cd_education_status#49, 20, false, true) AS
cd_education_status#307, cd_purchase_estimate#50, staticinvoke(class
org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType,
charTypeReadSideCheck, cd_credit_rating#51, 10, false, true) AS
cd_credit_rating#308, cd_dep_count#52, cd_dep_employed_count#53,
cd_dep_college_count#54], Statistics(sizeInBytes=174.0 MiB, rowCount=1.92E+6)
+- Filter isnotnull(cd_demo_sk#46),
Statistics(sizeInBytes=174.0 MiB, rowCount=1.92E+6)
+-
Relation[cd_demo_sk#46,cd_gender#47,cd_marital_status#48,cd_education_status#49,cd_purchase_estimate#50,cd_credit_rating#51,cd_dep_count#52,cd_dep_employed_count#53,cd_dep_college_count#54]
parquet, Statistics(sizeInBytes=174.0 MiB, rowCount=1.92E+6)
== Physical Plan ==
TakeOrderedAndProject(limit=100, orderBy=[cd_gender#305 ASC NULLS
FIRST,cd_marital_status#306 ASC NULLS FIRST,cd_education_status#307 ASC NULLS
FIRST,cd_purchase_estimate#50 ASC NULLS FIRST,cd_credit_rating#308 ASC NULLS
FIRST,cd_dep_count#52 ASC NULLS FIRST,cd_dep_employed_count#53 ASC NULLS
FIRST,cd_dep_college_count#54 ASC NULLS FIRST],
output=[cd_gender#305,cd_marital_status#306,cd_education_status#307,cnt1#0L,cd_purchase_estimate#50,cnt2#1L,cd_credit_rating#308,cnt3#2L,cd_dep_count#52,cnt4#3L,cd_dep_employed_count#53,cnt5#4L,cd_dep_college_count#54,cnt6#5L])
+- *(20) HashAggregate(keys=[cd_gender#305, cd_marital_status#306,
cd_education_status#307, cd_purchase_estimate#50, cd_credit_rating#308,
cd_dep_count#52, cd_dep_employed_count#53, cd_dep_college_count#54],
functions=[count(1)], output=[cd_gender#305, cd_marital_status#306,
cd_education_status#307, cnt1#0L, cd_purchase_estimate#50, cnt2#1L,
cd_credit_rating#308, cnt3#2L, cd_dep_count#52, cnt4#3L,
cd_dep_employed_count#53, cnt5#4L, cd_dep_college_count#54, cnt6#5L])
+- Exchange hashpartitioning(cd_gender#305, cd_marital_status#306,
cd_education_status#307, cd_purchase_estimate#50, cd_credit_rating#308,
cd_dep_count#52, cd_dep_employed_count#53, cd_dep_college_count#54, 5),
ENSURE_REQUIREMENTS, [id=#537]
+- *(19) HashAggregate(keys=[cd_gender#305, cd_marital_status#306,
cd_education_status#307, cd_purchase_estimate#50, cd_credit_rating#308,
cd_dep_count#52, cd_dep_employed_count#53, cd_dep_college_count#54],
functions=[partial_count(1)], output=[cd_gender#305, cd_marital_status#306,
cd_education_status#307, cd_purchase_estimate#50, cd_credit_rating#308,
cd_dep_count#52, cd_dep_employed_count#53, cd_dep_college_count#54, count#357L])
+- *(19) Project [cd_gender#305, cd_marital_status#306,
cd_education_status#307, cd_purchase_estimate#50, cd_credit_rating#308,
cd_dep_count#52, cd_dep_employed_count#53, cd_dep_college_count#54]
+- *(19) SortMergeJoin [c_current_cdemo_sk#17], [cd_demo_sk#46],
Inner
:- *(16) Sort [c_current_cdemo_sk#17 ASC NULLS FIRST], false, 0
: +- Exchange hashpartitioning(c_current_cdemo_sk#17, 5),
ENSURE_REQUIREMENTS, [id=#528]
: +- *(15) Project [c_current_cdemo_sk#17]
: +- *(15) SortMergeJoin [c_current_addr_sk#19],
[ca_address_sk#33], Inner
: :- *(12) Sort [c_current_addr_sk#19 ASC NULLS
FIRST], false, 0
: : +- Exchange
hashpartitioning(c_current_addr_sk#19, 5), ENSURE_REQUIREMENTS, [id=#520]
: : +- *(11) Project [c_current_cdemo_sk#17,
c_current_addr_sk#19]
: : +- SortMergeJoin [c_customer_sk#15],
[customer_sk#8], LeftSemi
: : :- SortMergeJoin [c_customer_sk#15],
[customer_sk#6], LeftSemi
: : : :- *(2) Sort [c_customer_sk#15 ASC
NULLS FIRST], false, 0
: : : : +- Exchange
hashpartitioning(c_customer_sk#15, 5), ENSURE_REQUIREMENTS, [id=#332]
: : : : +- *(1) Filter
((isnotnull(c_customer_sk#15) AND isnotnull(c_current_addr_sk#19)) AND
isnotnull(c_current_cdemo_sk#17))
: : : : +- *(1) ColumnarToRow
: : : : +- FileScan parquet
default.customer[c_customer_sk#15,c_current_cdemo_sk#17,c_current_addr_sk#19]
Batched: true, DataFilters: [isnotnull(c_customer_sk#15),
isnotnull(c_current_addr_sk#19), isnotnull(c_current_cdemo_sk#17)], Format:
Parquet, Location:
InMemoryFileIndex[file:/Users/kentyao/spark/spark-warehouse/org.apache.spark.sql.TPCDSModifiedPla...,
PartitionFilters: [], PushedFilters: [IsNotNull(c_customer_sk),
IsNotNull(c_current_addr_sk), IsNotNull(c_current_cdemo_sk)], ReadSchema:
struct<c_customer_sk:int,c_current_cdemo_sk:int,c_current_addr_sk:int>
: : : +- *(7) Sort [customer_sk#6 ASC
NULLS FIRST], false, 0
: : : +- Exchange
hashpartitioning(customer_sk#6, 5), ENSURE_REQUIREMENTS, [id=#455]
: : : +- Union
: : : :- *(4) Project
[ws_bill_customer_sk#59 AS customer_sk#6]
: : : : +- *(4)
BroadcastHashJoin [ws_sold_date_sk#55], [d_date_sk#89], Inner, BuildRight, false
: : : : :- *(4) Filter
(isnotnull(ws_sold_date_sk#55) AND isnotnull(ws_bill_customer_sk#59))
: : : : : +- *(4)
ColumnarToRow
: : : : : +- FileScan
parquet default.web_sales[ws_sold_date_sk#55,ws_bill_customer_sk#59] Batched:
true, DataFilters: [isnotnull(ws_sold_date_sk#55),
isnotnull(ws_bill_customer_sk#59)], Format: Parquet, Location:
InMemoryFileIndex[file:/Users/kentyao/spark/spark-warehouse/org.apache.spark.sql.TPCDSModifiedPla...,
PartitionFilters: [], PushedFilters: [IsNotNull(ws_sold_date_sk),
IsNotNull(ws_bill_customer_sk)], ReadSchema:
struct<ws_sold_date_sk:int,ws_bill_customer_sk:int>
: : : : +-
BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, true] as
bigint)),false), [id=#344]
: : : : +- *(3) Project
[d_date_sk#89]
: : : : +- *(3)
Filter (((((isnotnull(d_year#95) AND isnotnull(d_moy#97)) AND (d_year#95 =
2002)) AND (d_moy#97 >= 4)) AND (d_moy#97 <= 7)) AND isnotnull(d_date_sk#89))
: : : : +- *(3)
ColumnarToRow
: : : : +-
FileScan parquet default.date_dim[d_date_sk#89,d_year#95,d_moy#97] Batched:
true, DataFilters: [isnotnull(d_year#95), isnotnull(d_moy#97), (d_year#95 =
2002), (d_moy#97 >= 4), (d_moy#97 <= 7),..., Format: Parquet, Location:
InMemoryFileIndex[file:/Users/kentyao/spark/spark-warehouse/org.apache.spark.sql.TPCDSModifiedPla...,
PartitionFilters: [], PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy),
EqualTo(d_year,2002), GreaterThanOrEqual(d_moy,4), LessThan..., ReadSchema:
struct<d_date_sk:int,d_year:int,d_moy:int>
: : : +- *(6) Project
[cs_ship_customer_sk#124 AS customer_sk#7]
: : : +- *(6)
BroadcastHashJoin [cs_sold_date_sk#117], [d_date_sk#89], Inner, BuildRight,
false
: : : :- *(6) Filter
(isnotnull(cs_sold_date_sk#117) AND isnotnull(cs_ship_customer_sk#124))
: : : : +- *(6)
ColumnarToRow
: : : : +- FileScan
parquet default.catalog_sales[cs_sold_date_sk#117,cs_ship_customer_sk#124]
Batched: true, DataFilters: [isnotnull(cs_sold_date_sk#117),
isnotnull(cs_ship_customer_sk#124)], Format: Parquet, Location:
InMemoryFileIndex[file:/Users/kentyao/spark/spark-warehouse/org.apache.spark.sql.TPCDSModifiedPla...,
PartitionFilters: [], PushedFilters: [IsNotNull(cs_sold_date_sk),
IsNotNull(cs_ship_customer_sk)], ReadSchema:
struct<cs_sold_date_sk:int,cs_ship_customer_sk:int>
: : : +- ReusedExchange
[d_date_sk#89], BroadcastExchange
HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false),
[id=#344]
: : +- *(10) Sort [customer_sk#8 ASC
NULLS FIRST], false, 0
: : +- Exchange
hashpartitioning(customer_sk#8, 5), ENSURE_REQUIREMENTS, [id=#474]
: : +- *(9) Project
[ss_customer_sk#154 AS customer_sk#8]
: : +- *(9) BroadcastHashJoin
[ss_sold_date_sk#151], [d_date_sk#89], Inner, BuildRight, false
: : :- *(9) Filter
(isnotnull(ss_sold_date_sk#151) AND isnotnull(ss_customer_sk#154))
: : : +- *(9) ColumnarToRow
: : : +- FileScan parquet
default.store_sales[ss_sold_date_sk#151,ss_customer_sk#154] Batched: true,
DataFilters: [isnotnull(ss_sold_date_sk#151), isnotnull(ss_customer_sk#154)],
Format: Parquet, Location:
InMemoryFileIndex[file:/Users/kentyao/spark/spark-warehouse/org.apache.spark.sql.TPCDSModifiedPla...,
PartitionFilters: [], PushedFilters: [IsNotNull(ss_sold_date_sk),
IsNotNull(ss_customer_sk)], ReadSchema:
struct<ss_sold_date_sk:int,ss_customer_sk:int>
: : +- ReusedExchange
[d_date_sk#89], BroadcastExchange
HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false),
[id=#344]
: +- *(14) Sort [ca_address_sk#33 ASC NULLS FIRST],
false, 0
: +- Exchange hashpartitioning(ca_address_sk#33,
5), ENSURE_REQUIREMENTS, [id=#399]
: +- *(13) Project [ca_address_sk#33]
: +- *(13) Filter (staticinvoke(class
org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType,
varcharTypeReadSideCheck, ca_county#40, 30, false, true) IN (Walker
County,Richland County,Gaines County,Douglas County,Dona Ana County) AND
isnotnull(ca_address_sk#33))
: +- *(13) ColumnarToRow
: +- FileScan parquet
default.customer_address[ca_address_sk#33,ca_county#40] Batched: true,
DataFilters: [staticinvoke(class
org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType,
varch..., Format: Parquet, Location:
InMemoryFileIndex[file:/Users/kentyao/spark/spark-warehouse/org.apache.spark.sql.TPCDSModifiedPla...,
PartitionFilters: [], PushedFilters: [IsNotNull(ca_address_sk)], ReadSchema:
struct<ca_address_sk:int,ca_county:string>
+- *(18) Sort [cd_demo_sk#46 ASC NULLS FIRST], false, 0
+- Exchange hashpartitioning(cd_demo_sk#46, 5),
ENSURE_REQUIREMENTS, [id=#417]
+- *(17) Project [cd_demo_sk#46, staticinvoke(class
org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType,
charTypeReadSideCheck, cd_gender#47, 1, false, true) AS cd_gender#305,
staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils,
StringType, charTypeReadSideCheck, cd_marital_status#48, 1, false, true) AS
cd_marital_status#306, staticinvoke(class
org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType,
charTypeReadSideCheck, cd_education_status#49, 20, false, true) AS
cd_education_status#307, cd_purchase_estimate#50, staticinvoke(class
org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType,
charTypeReadSideCheck, cd_credit_rating#51, 10, false, true) AS
cd_credit_rating#308, cd_dep_count#52, cd_dep_employed_count#53,
cd_dep_college_count#54]
+- *(17) Filter isnotnull(cd_demo_sk#46)
+- *(17) ColumnarToRow
+- FileScan parquet
default.customer_demographics[cd_demo_sk#46,cd_gender#47,cd_marital_status#48,cd_education_status#49,cd_purchase_estimate#50,cd_credit_rating#51,cd_dep_count#52,cd_dep_employed_count#53,cd_dep_college_count#54]
Batched: true, DataFilters: [isnotnull(cd_demo_sk#46)], Format: Parquet,
Location:
InMemoryFileIndex[file:/Users/kentyao/spark/spark-warehouse/org.apache.spark.sql.TPCDSModifiedPla...,
PartitionFilters: [], PushedFilters: [IsNotNull(cd_demo_sk)], ReadSchema:
struct<cd_demo_sk:int,cd_gender:string,cd_marital_status:string,cd_education_status:string,cd_pur...
````
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