HIVE-26830: Update TPCDS30TB metastore dump with histograms

Author: thomasrebele

ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query1.q.out

@@ -6,10 +6,10 @@ HiveProject(d_date_sk=[$0])
 CBO PLAN:
 HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
   HiveProject(c_customer_id=[$1])
-    HiveJoin(condition=[AND(=($3, $7), >($4, $6))], joinType=[inner], algorithm=[none], cost=[not available])
-      HiveJoin(condition=[=($2, $0)], joinType=[inner], algorithm=[none], cost=[not available])
-        HiveProject(c_customer_sk=[$0], c_customer_id=[$1])
-          HiveTableScan(table=[[default, customer]], table:alias=[customer])
+    HiveJoin(condition=[=($2, $0)], joinType=[inner], algorithm=[none], cost=[not available])
+      HiveProject(c_customer_sk=[$0], c_customer_id=[$1])
+        HiveTableScan(table=[[default, customer]], table:alias=[customer])
+      HiveJoin(condition=[AND(=($1, $5), >($2, $4))], joinType=[inner], algorithm=[none], cost=[not available])
         HiveJoin(condition=[=($3, $1)], joinType=[inner], algorithm=[none], cost=[not available])
           HiveProject(sr_customer_sk=[$0], sr_store_sk=[$1], $f2=[$2])
             HiveFilter(condition=[IS NOT NULL($2)])
@@ -24,16 +24,16 @@ HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
           HiveProject(s_store_sk=[$0])
             HiveFilter(condition=[=($24, _UTF-16LE'NM')])
               HiveTableScan(table=[[default, store]], table:alias=[store])
-      HiveProject(_o__c0=[*(CAST(/($1, $2)):DECIMAL(21, 6), 1.2:DECIMAL(2, 1))], ctr_store_sk=[$0])
-        HiveFilter(condition=[IS NOT NULL(CAST(/($1, $2)):DECIMAL(21, 6))])
-          HiveAggregate(group=[{1}], agg#0=[sum($2)], agg#1=[count($2)])
-            HiveProject(sr_customer_sk=[$0], sr_store_sk=[$1], $f2=[$2])
-              HiveAggregate(group=[{0, 1}], agg#0=[sum($2)])
-                HiveJoin(condition=[=($3, $4)], joinType=[inner], algorithm=[none], cost=[not available])
-                  HiveProject(sr_customer_sk=[$2], sr_store_sk=[$6], sr_fee=[$13], sr_returned_date_sk=[$19])
-                    HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($19))])
-                      HiveTableScan(table=[[default, store_returns]], table:alias=[store_returns])
-                  HiveProject(d_date_sk=[$0])
-                    HiveFilter(condition=[=($6, 2000)])
-                      HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
+        HiveProject(_o__c0=[*(CAST(/($1, $2)):DECIMAL(21, 6), 1.2:DECIMAL(2, 1))], ctr_store_sk=[$0])
+          HiveFilter(condition=[IS NOT NULL(CAST(/($1, $2)):DECIMAL(21, 6))])
+            HiveAggregate(group=[{1}], agg#0=[sum($2)], agg#1=[count($2)])
+              HiveProject(sr_customer_sk=[$0], sr_store_sk=[$1], $f2=[$2])
+                HiveAggregate(group=[{0, 1}], agg#0=[sum($2)])
+                  HiveJoin(condition=[=($3, $4)], joinType=[inner], algorithm=[none], cost=[not available])
+                    HiveProject(sr_customer_sk=[$2], sr_store_sk=[$6], sr_fee=[$13], sr_returned_date_sk=[$19])
+                      HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($19))])
+                        HiveTableScan(table=[[default, store_returns]], table:alias=[store_returns])
+                    HiveProject(d_date_sk=[$0])
+                      HiveFilter(condition=[=($6, 2000)])
+                        HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
 

ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query26.q.out

@@ -1,23 +1,23 @@
 CBO PLAN:
 HiveSortLimit(sort0=[$0], dir0=[ASC], fetch=[100])
   HiveProject(i_item_id=[$0], agg1=[/(CAST($1):DOUBLE, $2)], agg2=[CAST(/($3, $4)):DECIMAL(11, 6)], agg3=[CAST(/($5, $6)):DECIMAL(11, 6)], agg4=[CAST(/($7, $8)):DECIMAL(11, 6)])
-    HiveAggregate(group=[{12}], agg#0=[sum($3)], agg#1=[count($3)], agg#2=[sum($4)], agg#3=[count($4)], agg#4=[sum($6)], agg#5=[count($6)], agg#6=[sum($5)], agg#7=[count($5)])
-      HiveJoin(condition=[=($1, $11)], joinType=[inner], algorithm=[none], cost=[not available])
-        HiveJoin(condition=[=($2, $10)], joinType=[inner], algorithm=[none], cost=[not available])
-          HiveJoin(condition=[=($0, $9)], joinType=[inner], algorithm=[none], cost=[not available])
-            HiveJoin(condition=[=($7, $8)], joinType=[inner], algorithm=[none], cost=[not available])
+    HiveAggregate(group=[{1}], agg#0=[sum($5)], agg#1=[count($5)], agg#2=[sum($6)], agg#3=[count($6)], agg#4=[sum($8)], agg#5=[count($8)], agg#6=[sum($7)], agg#7=[count($7)])
+      HiveJoin(condition=[=($3, $0)], joinType=[inner], algorithm=[none], cost=[not available])
+        HiveProject(i_item_sk=[$0], i_item_id=[$1])
+          HiveTableScan(table=[[default, item]], table:alias=[item])
+        HiveJoin(condition=[=($0, $10)], joinType=[inner], algorithm=[none], cost=[not available])
+          HiveJoin(condition=[=($7, $9)], joinType=[inner], algorithm=[none], cost=[not available])
+            HiveJoin(condition=[=($2, $8)], joinType=[inner], algorithm=[none], cost=[not available])
               HiveProject(cs_bill_cdemo_sk=[$3], cs_item_sk=[$14], cs_promo_sk=[$15], cs_quantity=[$17], cs_list_price=[$19], cs_sales_price=[$20], cs_coupon_amt=[$26], cs_sold_date_sk=[$33])
                 HiveFilter(condition=[AND(IS NOT NULL($15), IS NOT NULL($3), IS NOT NULL($33))])
                   HiveTableScan(table=[[default, catalog_sales]], table:alias=[catalog_sales])
-              HiveProject(d_date_sk=[$0])
-                HiveFilter(condition=[=($6, 1998)])
-                  HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
-            HiveProject(cd_demo_sk=[$0])
-              HiveFilter(condition=[AND(=($2, _UTF-16LE'W'), =($1, _UTF-16LE'F'), =($3, _UTF-16LE'Primary             '))])
-                HiveTableScan(table=[[default, customer_demographics]], table:alias=[customer_demographics])
-          HiveProject(p_promo_sk=[$0])
-            HiveFilter(condition=[OR(=($9, _UTF-16LE'N'), =($14, _UTF-16LE'N'))])
-              HiveTableScan(table=[[default, promotion]], table:alias=[promotion])
-        HiveProject(i_item_sk=[$0], i_item_id=[$1])
-          HiveTableScan(table=[[default, item]], table:alias=[item])
+              HiveProject(p_promo_sk=[$0])
+                HiveFilter(condition=[OR(=($9, _UTF-16LE'N'), =($14, _UTF-16LE'N'))])
+                  HiveTableScan(table=[[default, promotion]], table:alias=[promotion])
+            HiveProject(d_date_sk=[$0])
+              HiveFilter(condition=[=($6, 1998)])
+                HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
+          HiveProject(cd_demo_sk=[$0])
+            HiveFilter(condition=[AND(=($2, _UTF-16LE'W'), =($1, _UTF-16LE'F'), =($3, _UTF-16LE'Primary             '))])
+              HiveTableScan(table=[[default, customer_demographics]], table:alias=[customer_demographics])
 

ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query47.q.out

@@ -56,10 +56,10 @@ HiveProject(i_category=[$0], d_year=[$1], d_moy=[$2], avg_monthly_sales=[$3], su
                           HiveFilter(condition=[AND(IN($6, 1999, 2000, 2001), OR(=($6, 2000), IN(ROW($6, $8), ROW(1999, 12), ROW(2001, 1))))])
                             HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
                       HiveProject(s_store_sk=[$0], s_store_name=[$5], s_company_name=[$17])
-                        HiveFilter(condition=[AND(IS NOT NULL($5), IS NOT NULL($17))])
+                        HiveFilter(condition=[AND(IS NOT NULL($17), IS NOT NULL($5))])
                           HiveTableScan(table=[[default, store]], table:alias=[store])
                     HiveProject(i_item_sk=[$0], i_brand=[$8], i_category=[$12])
-                      HiveFilter(condition=[AND(IS NOT NULL($12), IS NOT NULL($8))])
+                      HiveFilter(condition=[AND(IS NOT NULL($8), IS NOT NULL($12))])
                         HiveTableScan(table=[[default, item]], table:alias=[item])
         HiveJoin(condition=[AND(=($6, $0), =($7, $1), =($8, $2), =($9, $3), =($14, $5))], joinType=[inner], algorithm=[none], cost=[not available])
           HiveProject((tok_table_or_col i_category)=[$0], (tok_table_or_col i_brand)=[$1], (tok_table_or_col s_store_name)=[$2], (tok_table_or_col s_company_name)=[$3], (tok_function sum (tok_table_or_col ss_sales_price))=[$4], EXPR$0=[+($5, 1)])
@@ -77,10 +77,10 @@ HiveProject(i_category=[$0], d_year=[$1], d_moy=[$2], avg_monthly_sales=[$3], su
                             HiveFilter(condition=[AND(IN($6, 1999, 2000, 2001), OR(=($6, 2000), IN(ROW($6, $8), ROW(1999, 12), ROW(2001, 1))))])
                               HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
                         HiveProject(s_store_sk=[$0], s_store_name=[$5], s_company_name=[$17])
-                          HiveFilter(condition=[AND(IS NOT NULL($5), IS NOT NULL($17))])
+                          HiveFilter(condition=[AND(IS NOT NULL($17), IS NOT NULL($5))])
                             HiveTableScan(table=[[default, store]], table:alias=[store])
                       HiveProject(i_item_sk=[$0], i_brand=[$8], i_category=[$12])
-                        HiveFilter(condition=[AND(IS NOT NULL($12), IS NOT NULL($8))])
+                        HiveFilter(condition=[AND(IS NOT NULL($8), IS NOT NULL($12))])
                           HiveTableScan(table=[[default, item]], table:alias=[item])
           HiveProject((tok_table_or_col i_category)=[$0], (tok_table_or_col i_brand)=[$1], (tok_table_or_col s_store_name)=[$2], (tok_table_or_col s_company_name)=[$3], (tok_table_or_col d_year)=[$4], (tok_table_or_col d_moy)=[$5], (tok_function sum (tok_table_or_col ss_sales_price))=[$6], avg_window_0=[$7], rank_window_1=[$8])
             HiveFilter(condition=[AND(=($4, 2000), >($7, 0:DECIMAL(1, 0)), CASE(>($7, 0:DECIMAL(1, 0)), >(/(ABS(-($6, $7)), $7), 0.1:DECIMAL(1, 1)), false), IS NOT NULL($8))])
@@ -97,9 +97,9 @@ HiveProject(i_category=[$0], d_year=[$1], d_moy=[$2], avg_monthly_sales=[$3], su
                             HiveFilter(condition=[AND(IN($6, 1999, 2000, 2001), OR(=($6, 2000), IN(ROW($6, $8), ROW(1999, 12), ROW(2001, 1))))])
                               HiveTableScan(table=[[default, date_dim]], table:alias=[date_dim])
                         HiveProject(s_store_sk=[$0], s_store_name=[$5], s_company_name=[$17])
-                          HiveFilter(condition=[AND(IS NOT NULL($5), IS NOT NULL($17))])
+                          HiveFilter(condition=[AND(IS NOT NULL($17), IS NOT NULL($5))])
                             HiveTableScan(table=[[default, store]], table:alias=[store])
                       HiveProject(i_item_sk=[$0], i_brand=[$8], i_category=[$12])
-                        HiveFilter(condition=[AND(IS NOT NULL($12), IS NOT NULL($8))])
+                        HiveFilter(condition=[AND(IS NOT NULL($8), IS NOT NULL($12))])
                           HiveTableScan(table=[[default, item]], table:alias=[item])
 

ql/src/test/results/clientpositive/perf/tpcds30tb/cte/cbo_query53.q.out

@@ -11,7 +11,7 @@ HiveSortLimit(sort0=[$2], sort1=[$1], sort2=[$0], dir0=[ASC], dir1=[ASC], dir2=[
                   HiveFilter(condition=[AND(IS NOT NULL($6), IS NOT NULL($22))])
                     HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
                 HiveProject(i_item_sk=[$0], i_manufact_id=[$13])
-                  HiveFilter(condition=[AND(IN($10, _UTF-16LE'accessories', _UTF-16LE'classical', _UTF-16LE'fragrances', _UTF-16LE'pants', _UTF-16LE'personal', _UTF-16LE'portable', _UTF-16LE'reference', _UTF-16LE'self-help'), IN($12, _UTF-16LE'Books', _UTF-16LE'Children', _UTF-16LE'Electronics', _UTF-16LE'Men', _UTF-16LE'Music', _UTF-16LE'Women'), IN($8, _UTF-16LE'amalgimporto #1', _UTF-16LE'edu packscholar #1', _UTF-16LE'exportiimporto #1', _UTF-16LE'exportiunivamalg #9', _UTF-16LE'importoamalg #1', _UTF-16LE'scholaramalgamalg #14', _UTF-16LE'scholaramalgamalg #7', _UTF-16LE'scholaramalgamalg #9'), OR(AND(IN($12, _UTF-16LE'Books', _UTF-16LE'Children', _UTF-16LE'Electronics'), IN($10, _UTF-16LE'personal', _UTF-16LE'portable', _UTF-16LE'reference', _UTF-16LE'self-help'), IN($8, _UTF-16LE'exportiunivamalg #9', _UTF-16LE'scholaramalgamalg #14', _UTF-16LE'scholaramalgamalg #7', _UTF-16LE'scholaramalgamalg #9')), AND(IN($12, _UTF-16LE'Men', _UTF-16LE'Music', _UTF-16LE'Women'), IN($10, _UTF-16LE'accessories', _UTF-16LE'classical', _UTF-16LE'fragrances', _UTF-16LE'pants'), IN($8, _UTF-16LE'amalgimporto #1', _UTF-16LE'edu packscholar #1', _UTF-16LE'exportiimporto #1', _UTF-16LE'importoamalg #1'))))])
+                  HiveFilter(condition=[AND(IN($10, _UTF-16LE'accessories', _UTF-16LE'classical', _UTF-16LE'fragrances', _UTF-16LE'pants', _UTF-16LE'personal', _UTF-16LE'portable', _UTF-16LE'reference', _UTF-16LE'self-help'), IN($8, _UTF-16LE'amalgimporto #1', _UTF-16LE'edu packscholar #1', _UTF-16LE'exportiimporto #1', _UTF-16LE'exportiunivamalg #9', _UTF-16LE'importoamalg #1', _UTF-16LE'scholaramalgamalg #14', _UTF-16LE'scholaramalgamalg #7', _UTF-16LE'scholaramalgamalg #9'), IN($12, _UTF-16LE'Books', _UTF-16LE'Children', _UTF-16LE'Electronics', _UTF-16LE'Men', _UTF-16LE'Music', _UTF-16LE'Women'), OR(AND(IN($12, _UTF-16LE'Books', _UTF-16LE'Children', _UTF-16LE'Electronics'), IN($10, _UTF-16LE'personal', _UTF-16LE'portable', _UTF-16LE'reference', _UTF-16LE'self-help'), IN($8, _UTF-16LE'exportiunivamalg #9', _UTF-16LE'scholaramalgamalg #14', _UTF-16LE'scholaramalgamalg #7', _UTF-16LE'scholaramalgamalg #9')), AND(IN($12, _UTF-16LE'Men', _UTF-16LE'Music', _UTF-16LE'Women'), IN($10, _UTF-16LE'accessories', _UTF-16LE'classical', _UTF-16LE'fragrances', _UTF-16LE'pants'), IN($8, _UTF-16LE'amalgimporto #1', _UTF-16LE'edu packscholar #1', _UTF-16LE'exportiimporto #1', _UTF-16LE'importoamalg #1'))))])
                     HiveTableScan(table=[[default, item]], table:alias=[item])
               HiveProject(d_date_sk=[$0], d_qoy=[$10])
                 HiveFilter(condition=[IN($3, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223)])