[test](hive) run suite cases both in hive2 and hive3 (#33874)

Followup: #33115
There are hive2 and hive3 dockers in regress-test, so the the original test cases need to be tested in hive2 and hive3 environments.

docker/thirdparties/docker-compose/hive/hadoop-hive-metastore.env.tpl

@@ -23,6 +23,8 @@ HIVE_SITE_CONF_datanucleus_autoCreateSchema=false
 HIVE_SITE_CONF_hive_metastore_uris=thrift://hive-metastore:9083
 HIVE_SITE_CONF_hive_server2_thrift_bind_host=0.0.0.0
 HIVE_SITE_CONF_hive_server2_thrift_port=10000
+HIVE_SITE_CONF_hive_compactor_initiator_on=true
+HIVE_SITE_CONF_hive_compactor_worker_threads=2
 HIVE_SITE_CONF_metastore_storage_schema_reader_impl=org.apache.hadoop.hive.metastore.SerDeStorageSchemaReader
 
 CORE_CONF_fs_defaultFS=hdfs://${IP_HOST}:${FS_PORT}

docker/thirdparties/docker-compose/hive/hadoop-hive.env

@@ -23,6 +23,8 @@ HIVE_SITE_CONF_datanucleus_autoCreateSchema=false
 HIVE_SITE_CONF_hive_metastore_uris=thrift://hive-metastore:9083
 HIVE_SITE_CONF_hive_server2_thrift_bind_host=0.0.0.0
 HIVE_SITE_CONF_hive_server2_thrift_port=10000
+HIVE_SITE_CONF_hive_compactor_initiator_on=true
+HIVE_SITE_CONF_hive_compactor_worker_threads=2
 HIVE_SITE_CONF_metastore_storage_schema_reader_impl=org.apache.hadoop.hive.metastore.SerDeStorageSchemaReader
 
 CORE_CONF_fs_defaultFS=hdfs://namenode:8020

docker/thirdparties/docker-compose/hive/hive-2x_settings.env

@@ -20,7 +20,7 @@
 # Do not use "_" or other sepcial characters, only number and alphabeta.
 # NOTICE: change this uid will modify hive-*.yaml
 
-export FS_PORT=8220 #should be same in regression-conf.groovy
-export HMS_PORT=9283 #should be same in regression-conf.groovy
-export HS_PORT=12000 #should be same in regression-conf.groovy
-export PG_PORT=5632 #should be same in regression-conf.groovy
+export FS_PORT=8020 #should be same as hive2HdfsPort in regression-conf.groovy
+export HMS_PORT=9083 #should be same as hive2HmsPort in regression-conf.groovy
+export HS_PORT=10000 #should be same as hive2ServerPort in regression-conf.groovy
+export PG_PORT=5432 #should be same as hive2PgPort in regression-conf.groovy

docker/thirdparties/docker-compose/hive/hive-3x_settings.env

@@ -20,7 +20,7 @@
 # Do not use "_" or other sepcial characters, only number and alphabeta.
 # NOTICE: change this uid will modify hive-*.yaml
 
-export FS_PORT=8020 #should be same in regression-conf.groovy
-export HMS_PORT=9083 #should be same in regression-conf.groovy
-export HS_PORT=10000 #should be same in regression-conf.groovy
-export PG_PORT=5432 #should be same in regression-conf.groovy
+export FS_PORT=8320 #should be same as hive3HdfsPort in regression-conf.groovy
+export HMS_PORT=9383 #should be same as hive3HmsPort in regression-conf.groovy
+export HS_PORT=13000 #should be same as hive3ServerPort in regression-conf.groovy
+export PG_PORT=5732 #should be same as hive3PgPort in regression-conf.groovy

docker/thirdparties/run-thirdparties-docker.sh

@@ -33,11 +33,11 @@ Usage: $0 <options>
      [no option]        start all components
      --help,-h          show this usage
      -c mysql           start MySQL
-     -c mysql,hive      start MySQL and Hive
+     -c mysql,hive3      start MySQL and Hive3
      --stop             stop the specified components
 
   All valid components:
-    mysql,pg,oracle,sqlserver,clickhouse,es,hive,hive3,iceberg,hudi,trino,kafka,mariadb,db2
+    mysql,pg,oracle,sqlserver,clickhouse,es,hive2,hive3,iceberg,hudi,trino,kafka,mariadb,db2
   "
     exit 1
 }
@@ -60,7 +60,7 @@ STOP=0
 
 if [[ "$#" == 1 ]]; then
     # default
-    COMPONENTS="mysql,es,hive,hive3,pg,oracle,sqlserver,clickhouse,mariadb,iceberg,db2"
+    COMPONENTS="mysql,es,hive2,hive3,pg,oracle,sqlserver,clickhouse,mariadb,iceberg,db2"
 else
     while true; do
         case "$1" in
@@ -92,7 +92,7 @@ else
     done
     if [[ "${COMPONENTS}"x == ""x ]]; then
         if [[ "${STOP}" -eq 1 ]]; then
-            COMPONENTS="mysql,es,pg,oracle,sqlserver,clickhouse,hive,hive3,iceberg,hudi,trino,kafka,mariadb,db2"
+            COMPONENTS="mysql,es,pg,oracle,sqlserver,clickhouse,hive2,hive3,iceberg,hudi,trino,kafka,mariadb,db2"
         fi
     fi
 fi
@@ -125,7 +125,7 @@ RUN_PG=0
 RUN_ORACLE=0
 RUN_SQLSERVER=0
 RUN_CLICKHOUSE=0
-RUN_HIVE=0
+RUN_HIVE2=0
 RUN_HIVE3=0;
 RUN_ES=0
 RUN_ICEBERG=0
@@ -149,8 +149,8 @@ for element in "${COMPONENTS_ARR[@]}"; do
         RUN_CLICKHOUSE=1
     elif [[ "${element}"x == "es"x ]]; then
         RUN_ES=1
-    elif [[ "${element}"x == "hive"x ]]; then
-        RUN_HIVE=1
+    elif [[ "${element}"x == "hive2"x ]]; then
+        RUN_HIVE2=1
     elif [[ "${element}"x == "hive3"x ]]; then
         RUN_HIVE3=1
     elif [[ "${element}"x == "kafka"x ]]; then
@@ -301,7 +301,7 @@ if [[ "${RUN_KAFKA}" -eq 1 ]]; then
     fi
 fi
 
-if [[ "${RUN_HIVE}" -eq 1 ]]; then
+if [[ "${RUN_HIVE2}" -eq 1 ]]; then
     # hive2
     # If the doris cluster you need to test is single-node, you can use the default values; If the doris cluster you need to test is composed of multiple nodes, then you need to set the IP_HOST according to the actual situation of your machine
     #default value

regression-test/conf/regression-conf.groovy

@@ -124,10 +124,18 @@ db2_11_port=50000
 // See `docker/thirdparties/start-thirdparties-docker.sh`
 enableHiveTest=false
 enablePaimonTest=false
-hms_port=9083
-hdfs_port=8020
-hiveServerPort=10000
-hive_pg_port=5432
+
+// port of hive2 docker
+hive2HmsPort=9083
+hive2HdfsPort=8020
+hive2ServerPort=10000
+hive2PgPort=5432
+
+// port of hive3 docker
+hive3HmsPort=9383
+hive3HdfsPort=8320
+hive3ServerPort=13000
+hive3PgPort=5732
 
 // kafka test config
 // to enable kafka test, you need firstly to start kafka container

regression-test/data/external_table_p0/export/hive_read/orc/test_hive_read_orc.out

@@ -44,3 +44,48 @@
 2	9999-12-31	9999-12-31	9999-12-31 23:59:59.0	9999-12-31 23:59:59.0	2023-04-20 00:00:00.12	2023-04-20 00:00:00.3344		Haidian	-32768	-128	true	-2147483648	-9223372036854775808	-170141183460469231731687303715884105728	1.4E-45	4.9E-324	char2	100000000	100000000	4	0.1	0.99999999	9999999999.9999999999	99999999999999999999999999999999999999	9.9999999999999999999999999999999999999	0.99999999999999999999999999999999999999
 3	2023-04-21	2023-04-21	2023-04-20 12:34:56.0	2023-04-20 00:00:00.0	2023-04-20 00:00:00.123	2023-04-20 00:00:00.123456	Beijing		32767	127	true	2147483647	9223372036854775807	170141183460469231731687303715884105727	3.4028235E38	1.7976931348623157E308	char3	999999999	999999999	9	0.9	9.99999999	1234567890.0123456789	12345678901234567890123456789012345678	1.2345678901234567890123456789012345678	0.12345678901234567890123456789012345678
 
+-- !select_base1 --
+1	doris1	18
+2	doris2	40
+3	\N	\N
+4	doris4	-2147483648
+5	doris5	2147483647
+6	\N	-2147483648
+7	\N	0
+8	nereids	\N
+
+-- !select_tvf1 --
+1	doris1	18
+2	doris2	40
+3	\N	\N
+4	doris4	-2147483648
+5	doris5	2147483647
+6	\N	-2147483648
+7	\N	0
+8	nereids	\N
+
+-- !hive_docker_01 --
+1	doris1	18
+2	doris2	40
+3	\N	\N
+4	doris4	-2147483648
+5	doris5	2147483647
+6	\N	-2147483648
+7	\N	0
+8	nereids	\N
+
+-- !select_base2 --
+1	2023-04-20	2023-04-20	2023-04-20T00:00	2023-04-20T00:00	2023-04-20T00:00	2023-04-20T00:00	Beijing	Haidian	1	1	true	1	1	1	1.1	1.1	char1	1	1	1	0.1	1.00000000	1.0000000000	1	1.0000000000000000000000000000000000000	0.10000000000000000000000000000000000000
+2	9999-12-31	9999-12-31	9999-12-31T23:59:59	9999-12-31T23:59:59	2023-04-20T00:00:00.120	2023-04-20T00:00:00.334400		Haidian	-32768	-128	true	-2147483648	-9223372036854775808	-170141183460469231731687303715884105728	1.4E-45	4.9E-324	char2	100000000	100000000	4	0.1	0.99999999	9999999999.9999999999	99999999999999999999999999999999999999	9.9999999999999999999999999999999999999	0.99999999999999999999999999999999999999
+3	2023-04-21	2023-04-21	2023-04-20T12:34:56	2023-04-20T00:00	2023-04-20T00:00:00.123	2023-04-20T00:00:00.123456	Beijing		32767	127	true	2147483647	9223372036854775807	170141183460469231731687303715884105727	3.4028235e+38	1.7976931348623157E308	char3	999999999	999999999	9	0.9	9.99999999	1234567890.0123456789	12345678901234567890123456789012345678	1.2345678901234567890123456789012345678	0.12345678901234567890123456789012345678
+
+-- !select_tvf2 --
+1	2023-04-20	2023-04-20	2023-04-20T00:00	2023-04-20T00:00	2023-04-20T00:00	2023-04-20T00:00	Beijing	Haidian	1	1	true	1	1	1	1.1	1.1	char1	1	1	1	0.1	1.00000000	1.0000000000	1	1.0000000000000000000000000000000000000	0.10000000000000000000000000000000000000
+2	9999-12-31	9999-12-31	9999-12-31T23:59:59	9999-12-31T23:59:59	2023-04-20T00:00:00.120	2023-04-20T00:00:00.334400		Haidian	-32768	-128	true	-2147483648	-9223372036854775808	-170141183460469231731687303715884105728	1.4E-45	4.9E-324	char2	100000000	100000000	4	0.1	0.99999999	9999999999.9999999999	99999999999999999999999999999999999999	9.9999999999999999999999999999999999999	0.99999999999999999999999999999999999999
+3	2023-04-21	2023-04-21	2023-04-20T12:34:56	2023-04-20T00:00	2023-04-20T00:00:00.123	2023-04-20T00:00:00.123456	Beijing		32767	127	true	2147483647	9223372036854775807	170141183460469231731687303715884105727	3.4028235e+38	1.7976931348623157E308	char3	999999999	999999999	9	0.9	9.99999999	1234567890.0123456789	12345678901234567890123456789012345678	1.2345678901234567890123456789012345678	0.12345678901234567890123456789012345678
+
+-- !hive_docker_02 --
+1	2023-04-20	2023-04-20	2023-04-20 00:00:00.0	2023-04-20 00:00:00.0	2023-04-20 00:00:00.0	2023-04-20 00:00:00.0	Beijing	Haidian	1	1	true	1	1	1	1.1	1.1	char1	1	1	1	0.1	1.00000000	1.0000000000	1	1.0000000000000000000000000000000000000	0.10000000000000000000000000000000000000
+2	9999-12-31	9999-12-31	9999-12-31 23:59:59.0	9999-12-31 23:59:59.0	2023-04-20 00:00:00.12	2023-04-20 00:00:00.3344		Haidian	-32768	-128	true	-2147483648	-9223372036854775808	-170141183460469231731687303715884105728	1.4E-45	4.9E-324	char2	100000000	100000000	4	0.1	0.99999999	9999999999.9999999999	99999999999999999999999999999999999999	9.9999999999999999999999999999999999999	0.99999999999999999999999999999999999999
+3	2023-04-21	2023-04-21	2023-04-20 12:34:56.0	2023-04-20 00:00:00.0	2023-04-20 00:00:00.123	2023-04-20 00:00:00.123456	Beijing		32767	127	true	2147483647	9223372036854775807	170141183460469231731687303715884105727	3.4028235E38	1.7976931348623157E308	char3	999999999	999999999	9	0.9	9.99999999	1234567890.0123456789	12345678901234567890123456789012345678	1.2345678901234567890123456789012345678	0.12345678901234567890123456789012345678
+