diff --git a/docker/thirdparties/docker-compose/kafka/scripts/basic_array_data.csv b/docker/thirdparties/docker-compose/kafka/scripts/basic_array_data.csv
new file mode 100644
index 0000000000..d25ef6489b
--- /dev/null
+++ b/docker/thirdparties/docker-compose/kafka/scripts/basic_array_data.csv
@@ -0,0 +1,20 @@
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diff --git a/docker/thirdparties/docker-compose/kafka/scripts/basic_array_data_timezone.csv b/docker/thirdparties/docker-compose/kafka/scripts/basic_array_data_timezone.csv
new file mode 100644
index 0000000000..a08b92360c
--- /dev/null
+++ b/docker/thirdparties/docker-compose/kafka/scripts/basic_array_data_timezone.csv
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diff --git a/docker/thirdparties/docker-compose/kafka/scripts/basic_array_data_with_errors.csv b/docker/thirdparties/docker-compose/kafka/scripts/basic_array_data_with_errors.csv
new file mode 100644
index 0000000000..b2d8b3736c
--- /dev/null
+++ b/docker/thirdparties/docker-compose/kafka/scripts/basic_array_data_with_errors.csv
@@ -0,0 +1,20 @@
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diff --git a/docker/thirdparties/docker-compose/kafka/scripts/basic_data.csv b/docker/thirdparties/docker-compose/kafka/scripts/basic_data.csv
new file mode 100644
index 0000000000..daa9ebd355
--- /dev/null
+++ b/docker/thirdparties/docker-compose/kafka/scripts/basic_data.csv
@@ -0,0 +1,20 @@
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diff --git a/docker/thirdparties/docker-compose/kafka/scripts/basic_data_timezone.csv b/docker/thirdparties/docker-compose/kafka/scripts/basic_data_timezone.csv
new file mode 100644
index 0000000000..d4fbc5967d
--- /dev/null
+++ b/docker/thirdparties/docker-compose/kafka/scripts/basic_data_timezone.csv
@@ -0,0 +1,20 @@
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diff --git a/docker/thirdparties/docker-compose/kafka/scripts/basic_data_with_errors.csv b/docker/thirdparties/docker-compose/kafka/scripts/basic_data_with_errors.csv
new file mode 100644
index 0000000000..8452e9513f
--- /dev/null
+++ b/docker/thirdparties/docker-compose/kafka/scripts/basic_data_with_errors.csv
@@ -0,0 +1,20 @@
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+85|2023-08-11 10:10:10|TRUE|-7|24304|-2043877415|-2024144417867729183|\N|5363.024414|-578615669.042831|-378574346.0|-810302932.0|2023-07-15 01:07:41|2023-08-13|2023-01-20 11:57:48|i||WQ9dh9ajPu0y|{"country": "France", "capital": "Paris", "population": 67081000}
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+90|2023-08-27|TRUE|22|16456|-1476824962|-3279894870153540825|8990195191470116763e|26651.906250|206860148.942546|-580959198.0|-210329147.0|2022-10-07 03:11:03|2023-03-18|2023-04-15 00:38:33|T|L|QW0GQ3GoMtHgxPQOWGfVaveynahNpsNs09siMFA1OtO6QEDBQTdivmGyq7bFzejAqwbbVQQpREAmeLjcFSXLnQuou2KbwYD|{"company": "Apple", "products": [{"name": "iPhone", "price": 1000}, {"name": "MacBook", "price": 1500}]}
+8|2023-08-14|TRUE|109|-31573|-1362465190|3990845741226497177|2732763251146840270|-25698.552734|1312831962.567818|771983879.0|173937916.0|2023-03-07 14:13:19|2022-10-18|2023-07-16 05:03:13|D||PBn1wa6X8WneZYLMac11zzyhGl7tPXB5XgjmOV8L6uav9ja5oY433ktb2yhyQQIqBveZPkme|{"animal": "lion", "weight": 200, "habitat": ["savannah", "grassland"]}
+65|2023-08-09|FALSE|94|31514|814994517|-297697460695940343|734910652450318597|-13061.891602|62750847.041706|-9808654.0|\N|2023-08-14 22:01:27|2023-05-19|2022-11-13 13:44:28|V||aGeMsI24O12chGlP5ak0AHghAz7bu5MargJBStHnt0yMnChH0JnfYhsfH1u59XIHkJKMsHYktBqORkGlovu8V47E74KeFpaqxn5yLyXfDbhhzUKf|{"language": "Python" "version": 3.9, "frameworks": ["Django", "Flask"]}
+62|2023-08-21|FALSE|81|20302|-200761532|6365479976421007608|\N|-29916.533203|1709141750.828478|549873536.0|-119205359.0|2023-05-04 01:14:51|2022-09-17|2022-12-04 19:30:09|d|v|BKWy9dTNg1aZW7ancEJAmEDOPK5TwFsNSHbI78emu9gymeIlx5NoLmyii0QAqdzRvSQPZKiqKkwInGCTIBnK1yYkK7zD|{"username": "user123", "password": "pass123", "email": "user123@example.com"
+50|2023-08-06|TRUE|109|-6330|1479023892|-8630800697573159428|-1645095773540208759|17880.960938|-1453844792.013949|-158871820.0|-862940384.0|2022-09-22 02:03:21|2023-05-14|2023-03-25 02:18:34|m||JKnIgXvGVidGiWl9YRSi3mFI7wHKt1sBpWSadKF8VX3LAuElm4sdc9gtxREaUr57oikSYlU8We8h1MWqQlYNiJObl|{"city": "Tokyo", "temperature": 20.5, "humidity": 75}
+58|2023-08-22|\N|0|-18231|1832867360|6997858407575297145|2480714305422728023|-5450.488770|1475901032.138386|-893480655.0|-607891858.0|2023-02-02 05:13:24|2022-09-18|2023-04-23 10:51:15|k||LdFXF7Kmfzgmnn2R6zLsXdmi3A2cLBLq4G4WDVNDhxvH7dYH8Kga2WA47uSIxp6NSrwPSdw0ssB1TS8RFJTDJAB0Uba3e05NL2Aiw0ja|{"restaurant": "Pizza Hut", ["pizza", "pasta", "salad"]}
+60|2023-08-27|FALSE|-52|-2338|-757056972|1047567408607120856|6541476642780646552|6614.089355|-1204448798.517855|236657733.0|731515433.0|2022-12-29 14:47:30|2022-09-24|2023-08-01 12:41:59|O|F|RM4F1Ke7lkcnuxF2nK0j9VBW3MDcgyHR4pseBjtFnqS6GUkVFuzF6u3Cp9Nv7ab0O6UYrpP4DhU|{"game": "Chess", "players": 2, "time": "1 hour"}
+68|2023-08-23|TRUE|-73|20117|1737338128|795638676048937749|-5551546237562433901|-30627.039062|68589475.684545|585022347.0|513722420.0|2022-12-28 20:26:51|2022-10-04|2023-07-30 00:20:06|y||keZ3JlWWpdnPBejf0cuiCQCVBBTd5gjvO08NVdcAFewqL7nRT4N9lnvSU6pWmletA5VbPQCeQapJdcnQCHfZUDCf4ulCnczyqr7SGrbGRT0XYcd7iktKM|{"country": "Brazil", "continent": "South America", "population": 211049527}
+50|2023-08-24|TRUE|15|14403|\N|-6418906115745394180|9205303779366462513|-4331.548828|-615112179.557648|367305015.0|-551652958.0|2022-12-29 02:27:20|2023-06-01|2023-08-12 04:50:04|a||eCl38sztIvBQvGvGKyYZmyMXy9vIJx197iu3JwP9doJGcrYUl9Uova0rz4iCCgrjlAiZU18Fs9YtCq830nhM|{"band": "The Beatles", "members": ["John Lennon", "Paul McCartney", "George Harrison", "Ringo Starr"]}
+81|2023-08-23|FALSE|106|11492|-667795397|4480250461471356146|-5346660566234294101|9082.750000|385167225.902608|-717553011.0|649146853.0|2023-03-20 03:33:16|2022-11-24|2023-02-16 18:29:41|G|9|Lk3eNVQNjucbekD1rZmUlGPiXS5JvcWr2LQzRU8GSGIbSag|{"flower": "rose", "color": "red", "fragrance": true}
+41|2023-08-27|TRUE|-104|22750|\N|8527773271030840740|5554497317268279215|-5296.828125|-1715646888.013040|-306075962.0|897769189.0|2022-12-02 17:56:44|2022-10-12|2023-02-19 07:02:54|V|\N|E9GzQdTwX1ITUQz27IVznAs6Ca4WwprKk6Odjs6SH75D2F1089QiY3HQ52LXRD1V6xAWjhLE2hWgW3EdHuAOnUDVrb5V|{"food": "Sushi", "price": 10, "restaurant": "Sushi King"}
+21|2023-08-18|FALSE|63|-27847|-35409596|8638201997392767650|4919963231735304178|-23382.541016|-1803403621.426313|-22009767.0|661750756.0|2023-03-31 10:56:14|2023-01-20|2023-02-18 13:37:52|N|T|PSiFwUEx3eVFNtjlnQ70YkgZNvKrGmQ2DN5K9yYHiSdFWeEDB1UpL3Frt8z1kEAIWRDWqXZuyi|{"city": "Sydney", "population": 5312000, "area": 2058.7}
diff --git a/docker/thirdparties/docker-compose/kafka/scripts/test.csv b/docker/thirdparties/docker-compose/kafka/scripts/test.csv
deleted file mode 100644
index 3fde4e2023..0000000000
--- a/docker/thirdparties/docker-compose/kafka/scripts/test.csv
+++ /dev/null
@@ -1 +0,0 @@
-1,2,3
\ No newline at end of file
diff --git a/docker/thirdparties/run-thirdparties-docker.sh b/docker/thirdparties/run-thirdparties-docker.sh
index c7d376a348..e52eb8b5d0 100755
--- a/docker/thirdparties/run-thirdparties-docker.sh
+++ b/docker/thirdparties/run-thirdparties-docker.sh
@@ -251,14 +251,24 @@ if [[ "${RUN_KAFKA}" -eq 1 ]]; then
     sed -i "s/doris--/${CONTAINER_UID}/g" "${ROOT}"/docker-compose/kafka/kafka.yaml
     sed -i "s/localhost/${IP_HOST}/g" "${ROOT}"/docker-compose/kafka/kafka.yaml
     sudo docker compose -f "${ROOT}"/docker-compose/kafka/kafka.yaml --env-file "${ROOT}"/docker-compose/kafka/kafka.env down
+    start_kafka_producers() {
+        local container_id="$1"
+        local ip_host="$2"
+
+        declare -a topics=("basic_data" "basic_array_data" "basic_data_with_errors" "basic_array_data_with_errors" "basic_data_timezone" "basic_array_data_timezone")
+
+        for topic in "${topics[@]}"; do
+            while IFS= read -r line; do
+                docker exec -i "${container_id}" bash -c "echo '$line' | /opt/kafka/bin/kafka-console-producer.sh --broker-list '${ip_host}:19193' --topic '${topic}'"
+                sleep 1
+            done < "${ROOT}/docker-compose/kafka/scripts/${topic}.csv"
+        done
+    }
+
     if [[ "${STOP}" -ne 1 ]]; then
         sudo docker compose -f "${ROOT}"/docker-compose/kafka/kafka.yaml --env-file "${ROOT}"/docker-compose/kafka/kafka.env up --build --remove-orphans -d
         sleep 30s
-        while IFS= read -r line
-            do
-                docker exec -i ${KAFKA_CONTAINER_ID} bash -c "echo "$line" | /opt/kafka/bin/kafka-console-producer.sh --broker-list '${IP_HOST}:19193' --topic test"
-                sleep 1
-            done < ""${ROOT}"/docker-compose/kafka/scripts/test.csv"
+        start_kafka_producers "${KAFKA_CONTAINER_ID}" "${IP_HOST}"
     fi
 fi
 
diff --git a/regression-test/data/load_p0/routine_load/test_routine_load.out b/regression-test/data/load_p0/routine_load/test_routine_load.out
new file mode 100644
index 0000000000..602d22c130
--- /dev/null
+++ b/regression-test/data/load_p0/routine_load/test_routine_load.out
@@ -0,0 +1,19 @@
+-- This file is automatically generated. You should know what you did if you want to edit this
+-- !sql_timezone_shanghai --
+
+-- !sql_timezone_shanghai --
+
+-- !sql_timezone_shanghai --
+57	2023-08-19	true	2	-25462	-74112029	6458082754318544493	-7910671781690629051	-15205.859	-3.06870797484914E8	\N	\N	2023-07-10T18:39:10	2023-02-12	2023-01-27T07:26:06	y		Xi9nDVrLv8m6AwEpUxmtzFAuK48sQ	{"name":"John","age":25,"city":"New York"}	true	1	2	3	4	5	6.0	7.0	888888888	999999999	2023-08-24	2023-08-24T12:00	2023-08-24	2023-08-24T12:00	我能吞下玻璃而不伤身体	我能吞下玻璃而不伤身体	我能吞下玻璃而不伤身体	\N
+
+-- !sql_timezone_shanghai --
+
+-- !sql_timezone_shanghai --
+55	[1, 1, 1, 1, 1, 1]	[65, 65, 65, 65, 65, 65]	[18805, 18805, 18805, 18805, 18805, 18805]	[229725878, 229725878, 229725878, 229725878, 229725878, 229725878]	[2742856458318615325, 2742856458318615325, 2742856458318615325, 2742856458318615325, 2742856458318615325, 2742856458318615325]	[5907702768956232371, 5907702768956232371, 5907702768956232371, 5907702768956232371, 5907702768956232371, 5907702768956232371]	[12354.624, 12354.624, 12354.624, 12354.624, 12354.624]	[1697579881.9474771, 1697579881.9474771, 1697579881.9474771, 1697579881.9474771, 1697579881.9474771, 1697579881.9474771]	[20409908, 20409908, 20409908, 20409908, 20409908, 20409908]	[-69625379, -69625379, -69625379, -69625379, -69625379, -69625379]	[2023-08-09, 2023-08-09, 2023-08-09, 2023-08-09, 2023-08-09, 2023-08-09]	[2022-12-17 11:47:54, 2022-12-17 11:47:54, 2022-12-17 11:47:54, 2022-12-17 11:47:54, 2022-12-17 11:47:54, 2022-12-17 11:47:54]	[2023-03-19, 2023-03-19, 2023-03-19, 2023-03-19, 2023-03-19, 2023-03-19]	[2023-03-13 10:31:52, 2023-03-13 10:31:52, 2023-03-13 10:31:52, 2023-03-13 10:31:52, 2023-03-13 10:31:52, 2023-03-13 10:31:52]	["G", "G", "G", "G", "G", "G"]	["a", "a", "a", "a", "a", "a"]	["BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7", "BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7", "BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7", "BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7", "BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7", "BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7"]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]
+
+-- !sql_timezone_shanghai --
+55	[1, 1, 1, 1, 1, 1]	[65, 65, 65, 65, 65, 65]	[18805, 18805, 18805, 18805, 18805, 18805]	[229725878, 229725878, 229725878, 229725878, 229725878, 229725878]	[2742856458318615325, 2742856458318615325, 2742856458318615325, 2742856458318615325, 2742856458318615325, 2742856458318615325]	[5907702768956232371, 5907702768956232371, 5907702768956232371, 5907702768956232371, 5907702768956232371, 5907702768956232371]	[12354.624, 12354.624, 12354.624, 12354.624, 12354.624]	[1697579881.9474771, 1697579881.9474771, 1697579881.9474771, 1697579881.9474771, 1697579881.9474771, 1697579881.9474771]	[20409908, 20409908, 20409908, 20409908, 20409908, 20409908]	[-69625379, -69625379, -69625379, -69625379, -69625379, -69625379]	[2023-08-09, 2023-08-09, 2023-08-09, 2023-08-09, 2023-08-09, 2023-08-09]	[2022-12-17 11:47:54, 2022-12-17 11:47:54, 2022-12-17 11:47:54, 2022-12-17 11:47:54, 2022-12-17 11:47:54, 2022-12-17 11:47:54]	[2023-03-19, 2023-03-19, 2023-03-19, 2023-03-19, 2023-03-19, 2023-03-19]	[2023-03-13 10:31:52, 2023-03-13 10:31:52, 2023-03-13 10:31:52, 2023-03-13 10:31:52, 2023-03-13 10:31:52, 2023-03-13 10:31:52]	["G", "G", "G", "G", "G", "G"]	["a", "a", "a", "a", "a", "a"]	["BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7", "BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7", "BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7", "BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7", "BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7", "BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7"]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]
+
+-- !sql_timezone_shanghai --
+55	[1, 1, 1, 1, 1, 1]	[65, 65, 65, 65, 65, 65]	[18805, 18805, 18805, 18805, 18805, 18805]	[229725878, 229725878, 229725878, 229725878, 229725878, 229725878]	[2742856458318615325, 2742856458318615325, 2742856458318615325, 2742856458318615325, 2742856458318615325, 2742856458318615325]	[5907702768956232371, 5907702768956232371, 5907702768956232371, 5907702768956232371, 5907702768956232371, 5907702768956232371]	[12354.624, 12354.624, 12354.624, 12354.624, 12354.624]	[1697579881.9474771, 1697579881.9474771, 1697579881.9474771, 1697579881.9474771, 1697579881.9474771, 1697579881.9474771]	[20409908, 20409908, 20409908, 20409908, 20409908, 20409908]	[-69625379, -69625379, -69625379, -69625379, -69625379, -69625379]	[2023-08-09, 2023-08-09, 2023-08-09, 2023-08-09, 2023-08-09, 2023-08-09]	[2022-12-17 11:47:54, 2022-12-17 11:47:54, 2022-12-17 11:47:54, 2022-12-17 11:47:54, 2022-12-17 11:47:54, 2022-12-17 11:47:54]	[2023-03-19, 2023-03-19, 2023-03-19, 2023-03-19, 2023-03-19, 2023-03-19]	[2023-03-13 10:31:52, 2023-03-13 10:31:52, 2023-03-13 10:31:52, 2023-03-13 10:31:52, 2023-03-13 10:31:52, 2023-03-13 10:31:52]	["G", "G", "G", "G", "G", "G"]	["a", "a", "a", "a", "a", "a"]	["BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7", "BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7", "BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7", "BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7", "BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7", "BU2JJTmOKfXr9q8SjWLRUhxn2Me7HFpkMAJxCJCRvnnUJg2l3zXXOnLavxUNt7"]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]	[]
+
diff --git a/regression-test/suites/load_p0/routine_load/ddl/agg_tbl_basic_create.sql b/regression-test/suites/load_p0/routine_load/ddl/agg_tbl_basic_create.sql
new file mode 100644
index 0000000000..a001299748
--- /dev/null
+++ b/regression-test/suites/load_p0/routine_load/ddl/agg_tbl_basic_create.sql
@@ -0,0 +1,59 @@
+CREATE TABLE routine_load_agg_tbl_basic
+(
+    k00 INT             NOT NULL,
+    k01 DATE            NOT NULL,
+    k02 BOOLEAN         REPLACE NULL,
+    k03 TINYINT         SUM NULL,
+    k04 SMALLINT        SUM NULL,
+    k05 INT             SUM NULL,
+    k06 BIGINT          SUM NULL,
+    k07 LARGEINT        SUM NULL,
+    k08 FLOAT           SUM NULL,
+    k09 DOUBLE          SUM NULL,
+    k10 DECIMAL(9,1)    SUM NULL,
+    k11 DECIMALV3(9,1)  SUM NULL,
+    k12 DATETIME        REPLACE NULL,
+    k13 DATEV2          REPLACE NULL,
+    k14 DATETIMEV2      REPLACE NULL,
+    k15 CHAR(300)          REPLACE NULL,
+    k16 VARCHAR(300)         REPLACE NULL,
+    k17 STRING          REPLACE NULL,
+    k18 JSON            REPLACE NULL,
+    k19 BITMAP          BITMAP_UNION NULL,
+    k20 HLL             HLL_UNION NULL,
+    k21 QUANTILE_STATE  QUANTILE_UNION NULL,
+    kd01 BOOLEAN         REPLACE NOT NULL DEFAULT "TRUE",
+    kd02 TINYINT         SUM NOT NULL DEFAULT "1",
+    kd03 SMALLINT        SUM NOT NULL DEFAULT "2",
+    kd04 INT             SUM NOT NULL DEFAULT "3",
+    kd05 BIGINT          SUM NOT NULL DEFAULT "4",
+    kd06 LARGEINT        SUM NOT NULL DEFAULT "5",
+    kd07 FLOAT           SUM NOT NULL DEFAULT "6.0",
+    kd08 DOUBLE          SUM NOT NULL DEFAULT "7.0",
+    kd09 DECIMAL         SUM NOT NULL DEFAULT "888888888",
+    kd10 DECIMALV3       SUM NOT NULL DEFAULT "999999999",
+    kd11 DATE            REPLACE NOT NULL DEFAULT "2023-08-24",
+    kd12 DATETIME        REPLACE NOT NULL DEFAULT "2023-08-24 12:00:00",
+    kd13 DATEV2          REPLACE NOT NULL DEFAULT "2023-08-24",
+    kd14 DATETIMEV2      REPLACE NOT NULL DEFAULT "2023-08-24 12:00:00",
+    kd15 CHAR(300)       REPLACE NOT NULL DEFAULT "我能吞下玻璃而不伤身体",
+    kd16 VARCHAR(300)    REPLACE NOT NULL DEFAULT "我能吞下玻璃而不伤身体",
+    kd17 STRING          REPLACE NOT NULL DEFAULT "我能吞下玻璃而不伤身体",
+    kd18 JSON            REPLACE NULL,
+    kd19 BITMAP          BITMAP_UNION NULL,
+    kd20 HLL             HLL_UNION NULL,
+    kd21 QUANTILE_STATE  QUANTILE_UNION NULL,
+
+    INDEX idx_bitmap_k104 (`k01`) USING BITMAP
+)
+AGGREGATE KEY(k00,k01)
+PARTITION BY RANGE(k01)
+(
+    PARTITION p1 VALUES [('2023-08-01'), ('2023-08-11')),
+    PARTITION p2 VALUES [('2023-08-11'), ('2023-08-21')),
+    PARTITION p3 VALUES [('2023-08-21'), ('2023-09-01'))
+)
+DISTRIBUTED BY HASH(k00) BUCKETS 32
+PROPERTIES (
+    "replication_num" = "1"
+);
\ No newline at end of file
diff --git a/regression-test/suites/load_p0/routine_load/ddl/agg_tbl_basic_drop.sql b/regression-test/suites/load_p0/routine_load/ddl/agg_tbl_basic_drop.sql
new file mode 100644
index 0000000000..81a4954fa1
--- /dev/null
+++ b/regression-test/suites/load_p0/routine_load/ddl/agg_tbl_basic_drop.sql
@@ -0,0 +1 @@
+DROP TABLE IF EXISTS routine_load_agg_tbl_basic;
\ No newline at end of file
diff --git a/regression-test/suites/load_p0/routine_load/ddl/dup_tbl_array_create.sql b/regression-test/suites/load_p0/routine_load/ddl/dup_tbl_array_create.sql
new file mode 100644
index 0000000000..b0c3a2bd7f
--- /dev/null
+++ b/regression-test/suites/load_p0/routine_load/ddl/dup_tbl_array_create.sql
@@ -0,0 +1,42 @@
+CREATE TABLE routine_load_dup_tbl_array
+(
+    k00 INT                    NOT NULL,
+    k01 array<BOOLEAN>         NULL,
+    k02 array<TINYINT>         NULL,
+    k03 array<SMALLINT>        NULL,
+    k04 array<INT>             NULL,
+    k05 array<BIGINT>          NULL,
+    k06 array<LARGEINT>        NULL,
+    k07 array<FLOAT>           NULL,
+    k08 array<DOUBLE>          NULL,
+    k09 array<DECIMAL>         NULL,
+    k10 array<DECIMALV3>       NULL,
+    k11 array<DATE>            NULL,
+    k12 array<DATETIME>        NULL,
+    k13 array<DATEV2>          NULL,
+    k14 array<DATETIMEV2>      NULL,
+    k15 array<CHAR>            NULL,
+    k16 array<VARCHAR>         NULL,
+    k17 array<STRING>          NULL,
+    kd01 array<BOOLEAN>         NOT NULL DEFAULT "[]",
+    kd02 array<TINYINT>         NOT NULL DEFAULT "[]",
+    kd03 array<SMALLINT>        NOT NULL DEFAULT "[]",
+    kd04 array<INT>             NOT NULL DEFAULT "[]",
+    kd05 array<BIGINT>          NOT NULL DEFAULT "[]",
+    kd06 array<LARGEINT>        NOT NULL DEFAULT "[]",
+    kd07 array<FLOAT>           NOT NULL DEFAULT "[]",
+    kd08 array<DOUBLE>          NOT NULL DEFAULT "[]",
+    kd09 array<DECIMAL>         NOT NULL DEFAULT "[]",
+    kd10 array<DECIMALV3>       NOT NULL DEFAULT "[]",
+    kd11 array<DATE>            NOT NULL DEFAULT "[]",
+    kd12 array<DATETIME>        NOT NULL DEFAULT "[]",
+    kd13 array<DATEV2>          NOT NULL DEFAULT "[]",
+    kd14 array<DATETIMEV2>      NOT NULL DEFAULT "[]",
+    kd15 array<CHAR>            NOT NULL DEFAULT "[]",
+    kd16 array<VARCHAR>         NOT NULL DEFAULT "[]",
+)
+DUPLICATE KEY(k00)
+DISTRIBUTED BY HASH(k00) BUCKETS 32
+PROPERTIES (
+    "replication_num" = "1"
+);
\ No newline at end of file
diff --git a/regression-test/suites/load_p0/routine_load/ddl/dup_tbl_array_drop.sql b/regression-test/suites/load_p0/routine_load/ddl/dup_tbl_array_drop.sql
new file mode 100644
index 0000000000..63f253219f
--- /dev/null
+++ b/regression-test/suites/load_p0/routine_load/ddl/dup_tbl_array_drop.sql
@@ -0,0 +1 @@
+DROP TABLE IF EXISTS routine_load_dup_tbl_array;
\ No newline at end of file
diff --git a/regression-test/suites/load_p0/routine_load/ddl/dup_tbl_basic_create.sql b/regression-test/suites/load_p0/routine_load/ddl/dup_tbl_basic_create.sql
new file mode 100644
index 0000000000..85fa379018
--- /dev/null
+++ b/regression-test/suites/load_p0/routine_load/ddl/dup_tbl_basic_create.sql
@@ -0,0 +1,65 @@
+CREATE TABLE routine_load_dup_tbl_basic
+(
+    k00 INT             NOT NULL,
+    k01 DATE            NOT NULL,
+    k02 BOOLEAN         NULL,
+    k03 TINYINT         NULL,
+    k04 SMALLINT        NULL,
+    k05 INT             NULL,
+    k06 BIGINT          NULL,
+    k07 LARGEINT        NULL,
+    k08 FLOAT           NULL,
+    k09 DOUBLE          NULL,
+    k10 DECIMAL(9,1)    NULL,
+    k11 DECIMALV3(9,1)  NULL,
+    k12 DATETIME        NULL,
+    k13 DATEV2          NULL,
+    k14 DATETIMEV2      NULL,
+    k15 CHAR            NULL,
+    k16 VARCHAR         NULL,
+    k17 STRING          NULL,
+    k18 JSON            NULL,
+    kd01 BOOLEAN         NOT NULL DEFAULT "TRUE",
+    kd02 TINYINT         NOT NULL DEFAULT "1",
+    kd03 SMALLINT        NOT NULL DEFAULT "2",
+    kd04 INT             NOT NULL DEFAULT "3",
+    kd05 BIGINT          NOT NULL DEFAULT "4",
+    kd06 LARGEINT        NOT NULL DEFAULT "5",
+    kd07 FLOAT           NOT NULL DEFAULT "6.0",
+    kd08 DOUBLE          NOT NULL DEFAULT "7.0",
+    kd09 DECIMAL         NOT NULL DEFAULT "888888888",
+    kd10 DECIMALV3       NOT NULL DEFAULT "999999999",
+    kd11 DATE            NOT NULL DEFAULT "2023-08-24",
+    kd12 DATETIME        NOT NULL DEFAULT "2023-08-24 12:00:00",
+    kd13 DATEV2          NOT NULL DEFAULT "2023-08-24",
+    kd14 DATETIMEV2      NOT NULL DEFAULT "2023-08-24 12:00:00",
+    kd15 CHAR(300)       NOT NULL DEFAULT "我能吞下玻璃而不伤身体",
+    kd16 VARCHAR(300)    NOT NULL DEFAULT "我能吞下玻璃而不伤身体",
+    kd17 STRING          NOT NULL DEFAULT "我能吞下玻璃而不伤身体",
+    kd18 JSON            NULL,
+    
+    INDEX idx_inverted_k104 (`k05`) USING INVERTED,
+    INDEX idx_inverted_k110 (`k11`) USING INVERTED,
+    INDEX idx_inverted_k113 (`k13`) USING INVERTED,
+    INDEX idx_inverted_k114 (`k14`) USING INVERTED,
+    INDEX idx_inverted_k117 (`k17`) USING INVERTED PROPERTIES("parser" = "english"),
+    INDEX idx_ngrambf_k115 (`k15`) USING NGRAM_BF PROPERTIES("gram_size"="3", "bf_size"="256"),
+    INDEX idx_ngrambf_k116 (`k16`) USING NGRAM_BF PROPERTIES("gram_size"="3", "bf_size"="256"),
+    INDEX idx_ngrambf_k117 (`k17`) USING NGRAM_BF PROPERTIES("gram_size"="3", "bf_size"="256"),
+
+    INDEX idx_bitmap_k104 (`k02`) USING BITMAP,
+    INDEX idx_bitmap_k110 (`kd01`) USING BITMAP,
+    
+)
+DUPLICATE KEY(k00)
+PARTITION BY RANGE(k01)
+(
+    PARTITION p1 VALUES [('2023-08-01'), ('2023-08-11')),
+    PARTITION p2 VALUES [('2023-08-11'), ('2023-08-21')),
+    PARTITION p3 VALUES [('2023-08-21'), ('2023-09-01'))
+)
+DISTRIBUTED BY HASH(k00) BUCKETS 32
+PROPERTIES (
+    "bloom_filter_columns"="k05",
+    "replication_num" = "1"
+);
\ No newline at end of file
diff --git a/regression-test/suites/load_p0/routine_load/ddl/dup_tbl_basic_drop.sql b/regression-test/suites/load_p0/routine_load/ddl/dup_tbl_basic_drop.sql
new file mode 100644
index 0000000000..0a023935b7
--- /dev/null
+++ b/regression-test/suites/load_p0/routine_load/ddl/dup_tbl_basic_drop.sql
@@ -0,0 +1 @@
+DROP TABLE IF EXISTS routine_load_dup_tbl_basic;
\ No newline at end of file
diff --git a/regression-test/suites/load_p0/routine_load/ddl/mow_tbl_array_create.sql b/regression-test/suites/load_p0/routine_load/ddl/mow_tbl_array_create.sql
new file mode 100644
index 0000000000..14e62bb7ac
--- /dev/null
+++ b/regression-test/suites/load_p0/routine_load/ddl/mow_tbl_array_create.sql
@@ -0,0 +1,44 @@
+CREATE TABLE routine_load_mow_tbl_array
+(
+    k00 INT                    NOT NULL,
+    k01 array<BOOLEAN>         NULL,
+    k02 array<TINYINT>         NULL,
+    k03 array<SMALLINT>        NULL,
+    k04 array<INT>             NULL,
+    k05 array<BIGINT>          NULL,
+    k06 array<LARGEINT>        NULL,
+    k07 array<FLOAT>           NULL,
+    k08 array<DOUBLE>          NULL,
+    k09 array<DECIMAL>         NULL,
+    k10 array<DECIMALV3>       NULL,
+    k11 array<DATE>            NULL,
+    k12 array<DATETIME>        NULL,
+    k13 array<DATEV2>          NULL,
+    k14 array<DATETIMEV2>      NULL,
+    k15 array<CHAR>            NULL,
+    k16 array<VARCHAR>         NULL,
+    k17 array<STRING>          NULL,
+    kd01 array<BOOLEAN>         NOT NULL DEFAULT "[]",
+    kd02 array<TINYINT>         NOT NULL DEFAULT "[]",
+    kd03 array<SMALLINT>        NOT NULL DEFAULT "[]",
+    kd04 array<INT>             NOT NULL DEFAULT "[]",
+    kd05 array<BIGINT>          NOT NULL DEFAULT "[]",
+    kd06 array<LARGEINT>        NOT NULL DEFAULT "[]",
+    kd07 array<FLOAT>           NOT NULL DEFAULT "[]",
+    kd08 array<DOUBLE>          NOT NULL DEFAULT "[]",
+    kd09 array<DECIMAL>         NOT NULL DEFAULT "[]",
+    kd10 array<DECIMALV3>       NOT NULL DEFAULT "[]",
+    kd11 array<DATE>            NOT NULL DEFAULT "[]",
+    kd12 array<DATETIME>        NOT NULL DEFAULT "[]",
+    kd13 array<DATEV2>          NOT NULL DEFAULT "[]",
+    kd14 array<DATETIMEV2>      NOT NULL DEFAULT "[]",
+    kd15 array<CHAR>            NOT NULL DEFAULT "[]",
+    kd16 array<VARCHAR>         NOT NULL DEFAULT "[]",
+    kd17 array<STRING>          NOT NULL DEFAULT "[]"
+)
+UNIQUE KEY(k00)
+DISTRIBUTED BY HASH(k00) BUCKETS 32
+PROPERTIES (
+    "replication_num" = "1",
+    "enable_unique_key_merge_on_write" = "true"
+);
\ No newline at end of file
diff --git a/regression-test/suites/load_p0/routine_load/ddl/mow_tbl_array_drop.sql b/regression-test/suites/load_p0/routine_load/ddl/mow_tbl_array_drop.sql
new file mode 100644
index 0000000000..6c56c68507
--- /dev/null
+++ b/regression-test/suites/load_p0/routine_load/ddl/mow_tbl_array_drop.sql
@@ -0,0 +1 @@
+DROP TABLE IF EXISTS routine_load_mow_tbl_array;
\ No newline at end of file
diff --git a/regression-test/suites/load_p0/routine_load/ddl/mow_tbl_basic_create.sql b/regression-test/suites/load_p0/routine_load/ddl/mow_tbl_basic_create.sql
new file mode 100644
index 0000000000..2c9b472cda
--- /dev/null
+++ b/regression-test/suites/load_p0/routine_load/ddl/mow_tbl_basic_create.sql
@@ -0,0 +1,67 @@
+CREATE TABLE routine_load_mow_tbl_basic
+(
+    k00 INT             NOT NULL,
+    k01 DATE            NULL,
+    k02 BOOLEAN         NULL,
+    k03 TINYINT         NULL,
+    k04 SMALLINT        NULL,
+    k05 INT             NULL,
+    k06 BIGINT          NULL,
+    k07 LARGEINT        NULL,
+    k08 FLOAT           NULL,
+    k09 DOUBLE          NULL,
+    k10 DECIMAL(9,1)    NULL,
+    k11 DECIMALV3(9,1)  NULL,
+    k12 DATETIME        NULL,
+    k13 DATEV2          NULL,
+    k14 DATETIMEV2      NULL,
+    k15 CHAR            NULL,
+    k16 VARCHAR         NULL,
+    k17 STRING          NULL,
+    k18 JSON            NULL,
+    kd01 BOOLEAN         NOT NULL DEFAULT "TRUE",
+    kd02 TINYINT         NOT NULL DEFAULT "1",
+    kd03 SMALLINT        NOT NULL DEFAULT "2",
+    kd04 INT             NOT NULL DEFAULT "3",
+    kd05 BIGINT          NOT NULL DEFAULT "4",
+    kd06 LARGEINT        NOT NULL DEFAULT "5",
+    kd07 FLOAT           NOT NULL DEFAULT "6.0",
+    kd08 DOUBLE          NOT NULL DEFAULT "7.0",
+    kd09 DECIMAL         NOT NULL DEFAULT "888888888",
+    kd10 DECIMALV3       NOT NULL DEFAULT "999999999",
+    kd11 DATE            NOT NULL DEFAULT "2023-08-24",
+    kd12 DATETIME        NOT NULL DEFAULT "2023-08-24 12:00:00",
+    kd13 DATEV2          NOT NULL DEFAULT "2023-08-24",
+    kd14 DATETIMEV2      NOT NULL DEFAULT "2023-08-24 12:00:00",
+    kd15 CHAR(300)            NOT NULL DEFAULT "我能吞下玻璃而不伤身体",
+    kd16 VARCHAR(300)         NOT NULL DEFAULT "我能吞下玻璃而不伤身体",
+    kd17 STRING          NOT NULL DEFAULT "我能吞下玻璃而不伤身体",
+    kd18 JSON            NULL,
+
+    INDEX idx_inverted_k104 (`k05`) USING INVERTED,
+    INDEX idx_inverted_k110 (`k11`) USING INVERTED,
+    INDEX idx_inverted_k113 (`k13`) USING INVERTED,
+    INDEX idx_inverted_k114 (`k14`) USING INVERTED,
+    INDEX idx_inverted_k117 (`k17`) USING INVERTED PROPERTIES("parser" = "english"),
+    INDEX idx_bitmap_k104 (`k05`) USING BITMAP,
+    INDEX idx_bitmap_k110 (`k11`) USING BITMAP,
+    INDEX idx_bitmap_k113 (`k13`) USING BITMAP,
+    INDEX idx_bitmap_k114 (`k14`) USING BITMAP,
+    INDEX idx_bitmap_k117 (`k17`) USING BITMAP,
+    INDEX idx_ngrambf_k115 (`k15`) USING NGRAM_BF PROPERTIES("gram_size"="3", "bf_size"="256"),
+    INDEX idx_ngrambf_k116 (`k16`) USING NGRAM_BF PROPERTIES("gram_size"="3", "bf_size"="256"),
+    INDEX idx_ngrambf_k117 (`k17`) USING NGRAM_BF PROPERTIES("gram_size"="3", "bf_size"="256")
+)
+UNIQUE KEY(k00,k01)
+PARTITION BY RANGE(k01)
+(
+    PARTITION p1 VALUES [('2023-08-01'), ('2023-08-11')),
+    PARTITION p2 VALUES [('2023-08-11'), ('2023-08-21')),
+    PARTITION p3 VALUES [('2023-08-21'), ('2023-09-01'))
+)
+DISTRIBUTED BY HASH(k00) BUCKETS 32
+PROPERTIES (
+    "bloom_filter_columns"="k05",
+    "replication_num" = "1",
+    "enable_unique_key_merge_on_write" = "true"
+);
\ No newline at end of file
diff --git a/regression-test/suites/load_p0/routine_load/ddl/mow_tbl_basic_drop.sql b/regression-test/suites/load_p0/routine_load/ddl/mow_tbl_basic_drop.sql
new file mode 100644
index 0000000000..e0949e81fe
--- /dev/null
+++ b/regression-test/suites/load_p0/routine_load/ddl/mow_tbl_basic_drop.sql
@@ -0,0 +1 @@
+DROP TABLE IF EXISTS routine_load_mow_tbl_basic;
\ No newline at end of file
diff --git a/regression-test/suites/load_p0/routine_load/ddl/uniq_tbl_array_create.sql b/regression-test/suites/load_p0/routine_load/ddl/uniq_tbl_array_create.sql
new file mode 100644
index 0000000000..c5b4f07ff8
--- /dev/null
+++ b/regression-test/suites/load_p0/routine_load/ddl/uniq_tbl_array_create.sql
@@ -0,0 +1,43 @@
+CREATE TABLE routine_load_uniq_tbl_array
+(
+    k00 INT                    NOT NULL,
+    k01 array<BOOLEAN>         NULL,
+    k02 array<TINYINT>         NULL,
+    k03 array<SMALLINT>        NULL,
+    k04 array<INT>             NULL,
+    k05 array<BIGINT>          NULL,
+    k06 array<LARGEINT>        NULL,
+    k07 array<FLOAT>           NULL,
+    k08 array<DOUBLE>          NULL,
+    k09 array<DECIMAL>         NULL,
+    k10 array<DECIMALV3>       NULL,
+    k11 array<DATE>            NULL,
+    k12 array<DATETIME>        NULL,
+    k13 array<DATEV2>          NULL,
+    k14 array<DATETIMEV2>      NULL,
+    k15 array<CHAR>            NULL,
+    k16 array<VARCHAR>         NULL,
+    k17 array<STRING>          NULL,
+    kd01 array<BOOLEAN>         NOT NULL DEFAULT "[]",
+    kd02 array<TINYINT>         NOT NULL DEFAULT "[]",
+    kd03 array<SMALLINT>        NOT NULL DEFAULT "[]",
+    kd04 array<INT>             NOT NULL DEFAULT "[]",
+    kd05 array<BIGINT>          NOT NULL DEFAULT "[]",
+    kd06 array<LARGEINT>        NOT NULL DEFAULT "[]",
+    kd07 array<FLOAT>           NOT NULL DEFAULT "[]",
+    kd08 array<DOUBLE>          NOT NULL DEFAULT "[]",
+    kd09 array<DECIMAL>         NOT NULL DEFAULT "[]",
+    kd10 array<DECIMALV3>       NOT NULL DEFAULT "[]",
+    kd11 array<DATE>            NOT NULL DEFAULT "[]",
+    kd12 array<DATETIME>        NOT NULL DEFAULT "[]",
+    kd13 array<DATEV2>          NOT NULL DEFAULT "[]",
+    kd14 array<DATETIMEV2>      NOT NULL DEFAULT "[]",
+    kd15 array<CHAR>            NOT NULL DEFAULT "[]",
+    kd16 array<VARCHAR>         NOT NULL DEFAULT "[]",
+    kd17 array<STRING>          NOT NULL DEFAULT "[]",
+)
+UNIQUE KEY(k00)
+DISTRIBUTED BY HASH(k00) BUCKETS 32
+PROPERTIES (
+    "replication_num" = "1"
+);
\ No newline at end of file
diff --git a/regression-test/suites/load_p0/routine_load/ddl/uniq_tbl_array_drop.sql b/regression-test/suites/load_p0/routine_load/ddl/uniq_tbl_array_drop.sql
new file mode 100644
index 0000000000..e8193bf390
--- /dev/null
+++ b/regression-test/suites/load_p0/routine_load/ddl/uniq_tbl_array_drop.sql
@@ -0,0 +1 @@
+DROP TABLE IF EXISTS routine_load_uniq_tbl_array;
\ No newline at end of file
diff --git a/regression-test/suites/load_p0/routine_load/ddl/uniq_tbl_basic_create.sql b/regression-test/suites/load_p0/routine_load/ddl/uniq_tbl_basic_create.sql
new file mode 100644
index 0000000000..97b8cfd147
--- /dev/null
+++ b/regression-test/suites/load_p0/routine_load/ddl/uniq_tbl_basic_create.sql
@@ -0,0 +1,57 @@
+CREATE TABLE routine_load_uniq_tbl_basic
+(
+    k00 INT             NOT NULL,
+    k01 DATE            NOT NULL,
+    k02 BOOLEAN         NULL,
+    k03 TINYINT         NULL,
+    k04 SMALLINT        NULL,
+    k05 INT             NULL,
+    k06 BIGINT          NULL,
+    k07 LARGEINT        NULL,
+    k08 FLOAT           NULL,
+    k09 DOUBLE          NULL,
+    k10 DECIMAL(9,1)    NULL,
+    k11 DECIMALV3(9,1)  NULL,
+    k12 DATETIME        NULL,
+    k13 DATEV2          NULL,
+    k14 DATETIMEV2      NULL,
+    k15 CHAR            NULL,
+    k16 VARCHAR         NULL,
+    k17 STRING          NULL,
+    k18 JSON            NULL,
+    kd01 BOOLEAN         NOT NULL DEFAULT "TRUE",
+    kd02 TINYINT         NOT NULL DEFAULT "1",
+    kd03 SMALLINT        NOT NULL DEFAULT "2",
+    kd04 INT             NOT NULL DEFAULT "3",
+    kd05 BIGINT          NOT NULL DEFAULT "4",
+    kd06 LARGEINT        NOT NULL DEFAULT "5",
+    kd07 FLOAT           NOT NULL DEFAULT "6.0",
+    kd08 DOUBLE          NOT NULL DEFAULT "7.0",
+    kd09 DECIMAL         NOT NULL DEFAULT "888888888",
+    kd10 DECIMALV3       NOT NULL DEFAULT "999999999",
+    kd11 DATE            NOT NULL DEFAULT "2023-08-24",
+    kd12 DATETIME        NOT NULL DEFAULT "2023-08-24 12:00:00",
+    kd13 DATEV2          NOT NULL DEFAULT "2023-08-24",
+    kd14 DATETIMEV2      NOT NULL DEFAULT "2023-08-24 12:00:00",
+    kd15 CHAR(300)       NOT NULL DEFAULT "我能吞下玻璃而不伤身体",
+    kd16 VARCHAR(300)    NOT NULL DEFAULT "我能吞下玻璃而不伤身体",
+    kd17 STRING          NOT NULL DEFAULT "我能吞下玻璃而不伤身体",
+    kd18 JSON            NULL,
+
+    INDEX idx_bitmap_k104 (`k02`) USING BITMAP,
+    INDEX idx_bitmap_k110 (`kd01`) USING BITMAP,
+    INDEX idx_bitmap_k113 (`k13`) USING BITMAP,
+    INDEX idx_bitmap_k114 (`k14`) USING BITMAP,
+    INDEX idx_bitmap_k117 (`k17`) USING BITMAP
+)
+UNIQUE KEY(k00,k01)
+PARTITION BY RANGE(k01)
+(
+    PARTITION p1 VALUES [('2023-08-01'), ('2023-08-11')),
+    PARTITION p2 VALUES [('2023-08-11'), ('2023-08-21')),
+    PARTITION p3 VALUES [('2023-08-21'), ('2023-09-01'))
+)
+DISTRIBUTED BY HASH(k00) BUCKETS 32
+PROPERTIES (
+    "replication_num" = "1"
+);
\ No newline at end of file
diff --git a/regression-test/suites/load_p0/routine_load/ddl/uniq_tbl_basic_drop.sql b/regression-test/suites/load_p0/routine_load/ddl/uniq_tbl_basic_drop.sql
new file mode 100644
index 0000000000..5d1a486db7
--- /dev/null
+++ b/regression-test/suites/load_p0/routine_load/ddl/uniq_tbl_basic_drop.sql
@@ -0,0 +1 @@
+DROP TABLE IF EXISTS routine_load_uniq_tbl_basic;
diff --git a/regression-test/suites/load_p0/routine_load/test_routine_load.groovy b/regression-test/suites/load_p0/routine_load/test_routine_load.groovy
index 751a8d0280..95122e2e1f 100644
--- a/regression-test/suites/load_p0/routine_load/test_routine_load.groovy
+++ b/regression-test/suites/load_p0/routine_load/test_routine_load.groovy
@@ -16,46 +16,469 @@
 // under the License.
 
 suite("test_routine_load","p0,external,external_docker,external_docker_routine_load") {
-    // todo: test routine load, need kafka
-    // sql "show routine load"
-    // define a sql table
-    def testTable = "tbl_test_routine_load_basic"
 
-    def result1 = sql """
-        CREATE TABLE IF NOT EXISTS ${testTable} (
-        `k1` int(20) NULL COMMENT "",
-        `k2` int(20) NULL COMMENT "",
-        `k3` int(20) NULL COMMENT "",
-        ) ENGINE=OLAP
-        DUPLICATE KEY(`k1`)
-        DISTRIBUTED BY HASH(`k1`) BUCKETS 1
-        PROPERTIES (
-        "replication_allocation" = "tag.location.default: 1",
-        "storage_format" = "V2"
-        )
-    """
+    def tables = [
+                  "dup_tbl_basic",
+                  "uniq_tbl_basic",
+                  "mow_tbl_basic",
+                  "agg_tbl_basic",
+                  "dup_tbl_array",
+                  "uniq_tbl_array",
+                  "mow_tbl_array",
+                 ]
+
+    def jobs =   [
+                  "dup_tbl_basic_job",
+                  "uniq_tbl_basic_job",
+                  "mow_tbl_basic_job",
+                  "agg_tbl_basic_job",
+                  "dup_tbl_array_job",
+                  "uniq_tbl_array_job",
+                  "mow_tbl_array_job",
+                 ]
+
+    def topics = [
+                  "basic_data",
+                  "basic_data",
+                  "basic_data",
+                  "basic_data",
+                  "basic_array_data",
+                  "basic_array_data",
+                  "basic_array_data",
+                 ]
+
+    def errorTopics = [
+                  "basic_data_with_errors",
+                  "basic_data_with_errors",
+                  "basic_data_with_errors",
+                  "basic_data_with_errors",
+                  "basic_array_data_with_errors",
+                  "basic_array_data_with_errors",
+                  "basic_array_data_with_errors",
+                 ]
+
+    def timezoneTopics = [
+                  "basic_data_timezone",
+                  "basic_data_timezone",
+                  "basic_data_timezone",
+                  "basic_data_timezone",
+                  "basic_array_data_timezone",
+                  "basic_array_data_timezone",
+                  "basic_array_data_timezone",
+                 ]
+
+    def columns = [ 
+                    "k00,k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17,k18",
+                    "k00,k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17,k18",
+                    "k00,k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17,k18",
+                    "k00,k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17,k18,k19=to_bitmap(k04),k20=HLL_HASH(k04),k21=TO_QUANTILE_STATE(k04,1.0),kd19=to_bitmap(k05),kd20=HLL_HASH(k05),kd21=TO_QUANTILE_STATE(k05,1.0)",
+                    "k00,k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17",
+                    "k00,k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17",
+                    "k00,k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17",
+                  ]
+
+    def timezoneColumns = 
+                  [ 
+                    "k00=unix_timestamp('2007-11-30 10:30:19'),k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17,k18",
+                    "k00=unix_timestamp('2007-11-30 10:30:19'),k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17,k18",
+                    "k00=unix_timestamp('2007-11-30 10:30:19'),k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17,k18",
+                    "k00=unix_timestamp('2007-11-30 10:30:19'),k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17,k18,k19=to_bitmap(k04),k20=HLL_HASH(k04),k21=TO_QUANTILE_STATE(k04,1.0),kd19=to_bitmap(k05),kd20=HLL_HASH(k05),kd21=TO_QUANTILE_STATE(k05,1.0)",
+                    "k00=unix_timestamp('2007-11-30 10:30:19'),k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17",
+                    "k00=unix_timestamp('2007-11-30 10:30:19'),k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17",
+                    "k00=unix_timestamp('2007-11-30 10:30:19'),k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17",
+                  ]
+
+    def loadedRows = [0,0,0,0,17,17,17]
+
+    def filteredRows = [20,20,20,20,3,3,3]
+
+    def maxFilterRatio = [1,1,1,1,0.15,0.15,0.15]
 
     String enabled = context.config.otherConfigs.get("enableKafkaTest")
-    if (enabled != null && enabled.equalsIgnoreCase("true")) {
-        String kafka_port = context.config.otherConfigs.get("kafka_port")
-        String externalEnvIp = context.config.otherConfigs.get("externalEnvIp")
+    String kafka_port = context.config.otherConfigs.get("kafka_port")
+    String externalEnvIp = context.config.otherConfigs.get("externalEnvIp")
 
-        def topic1 = "test"
-        sql """
-            CREATE ROUTINE LOAD ${topic1} ON ${testTable}
-            COLUMNS TERMINATED BY ","
-            PROPERTIES
-            (
-            "max_batch_interval" = "5",
-            "max_batch_rows" = "200000",
-            "max_batch_size" = "209715200"
-            )
-            FROM KAFKA
-            (
-            "kafka_broker_list" = "${externalEnvIp}:${kafka_port}",
-            "kafka_topic" = "${topic1}",
-            "property.kafka_default_offsets" = "OFFSET_BEGINNING"
-            );
-        """
+    // exec_mem_limit
+    def i = 0
+    if (enabled != null && enabled.equalsIgnoreCase("true")) {
+        try {
+            for (String tableName in tables) {
+                sql new File("""${context.file.parent}/ddl/${tableName}_drop.sql""").text
+                sql new File("""${context.file.parent}/ddl/${tableName}_create.sql""").text
+
+                def name = "routine_load_" + tableName
+                sql """
+                    CREATE ROUTINE LOAD ${jobs[i]} ON ${name}
+                    COLUMNS(${columns[i]}),
+                    COLUMNS TERMINATED BY "|"
+                    PROPERTIES
+                    (
+                        "exec_mem_limit" = "1",
+                        "max_batch_interval" = "1",
+                        "max_batch_rows" = "300000",
+                        "max_batch_size" = "209715200"
+                    )
+                    FROM KAFKA
+                    (
+                        "kafka_broker_list" = "${externalEnvIp}:${kafka_port}",
+                        "kafka_topic" = "${topics[i]}",
+                        "property.kafka_default_offsets" = "OFFSET_BEGINNING"
+                    );
+                """
+                sql "sync"
+                i++
+            }
+
+            i = 0
+            for (String tableName in tables) {
+                while (true) {
+                    sleep(1000)
+                    def res = sql "show routine load for ${jobs[i]}"
+                    def state = res[0][8].toString()
+                    if (state == "NEED_SCHEDULE") {
+                        continue;
+                    }
+                    assertEquals(res[0][8].toString(), "RUNNING")
+                    break;
+                }
+                sql "stop routine load for ${jobs[i]}"
+                i++
+            }
+        } finally {
+            for (String tableName in tables) {
+                sql new File("""${context.file.parent}/ddl/${tableName}_drop.sql""").text
+            }
+        }
+    }
+
+    // timezone
+    i = 0
+    if (enabled != null && enabled.equalsIgnoreCase("true")) {
+        try {
+            for (String tableName in tables) {
+                sql new File("""${context.file.parent}/ddl/${tableName}_drop.sql""").text
+                sql new File("""${context.file.parent}/ddl/${tableName}_create.sql""").text
+
+                def name = "routine_load_" + tableName
+                sql """
+                    CREATE ROUTINE LOAD ${jobs[i]} ON ${name}
+                    COLUMNS(${columns[i]}),
+                    COLUMNS TERMINATED BY "|"
+                    PROPERTIES
+                    (
+                        "timezone" = "Asia/Shanghai",
+                        "max_batch_interval" = "1",
+                        "max_batch_rows" = "300000",
+                        "max_batch_size" = "209715200"
+                    )
+                    FROM KAFKA
+                    (
+                        "kafka_broker_list" = "${externalEnvIp}:${kafka_port}",
+                        "kafka_topic" = "${topics[i]}",
+                        "property.kafka_default_offsets" = "OFFSET_BEGINNING"
+                    );
+                """
+                sql "sync"
+                i++
+            }
+
+            i = 0
+            for (String tableName in tables) {
+                while (true) {
+                    sleep(1000)
+                    def res = sql "show routine load for ${jobs[i]}"
+                    def state = res[0][8].toString()
+                    if (state == "NEED_SCHEDULE") {
+                        continue;
+                    }
+                    assertEquals(res[0][8].toString(), "RUNNING")
+                    break;
+                }
+
+                def tableName1 =  "routine_load_" + tableName
+                if (i <= 3) {
+                    qt_sql_timezone_shanghai "select * from ${tableName1} order by k00,k01"
+                } else {
+                    qt_sql_timezone_shanghai "select * from ${tableName1} order by k00"
+                }
+
+                sql "stop routine load for ${jobs[i]}"
+                i++
+            }
+        } finally {
+            for (String tableName in tables) {
+                sql new File("""${context.file.parent}/ddl/${tableName}_drop.sql""").text
+            }
+        }
+    }
+
+    //strict_mode
+    i = 0
+    if (enabled != null && enabled.equalsIgnoreCase("true")) {
+        try {
+            for (String tableName in tables) {
+                sql new File("""${context.file.parent}/ddl/${tableName}_drop.sql""").text
+                sql new File("""${context.file.parent}/ddl/${tableName}_create.sql""").text
+
+                def name = "routine_load_" + tableName
+                sql """
+                    CREATE ROUTINE LOAD ${jobs[i]} ON ${name}
+                    COLUMNS(${columns[i]}),
+                    COLUMNS TERMINATED BY "|"
+                    PROPERTIES
+                    (
+                        "strict_mode" = "true",
+                        "max_batch_interval" = "1",
+                        "max_batch_rows" = "300000",
+                        "max_batch_size" = "209715200"
+                    )
+                    FROM KAFKA
+                    (
+                        "kafka_broker_list" = "${externalEnvIp}:${kafka_port}",
+                        "kafka_topic" = "${errorTopics[i]}",
+                        "property.kafka_default_offsets" = "OFFSET_BEGINNING"
+                    );
+                """
+                sql "sync"
+                i++
+            }
+
+            i = 0
+            for (String tableName in tables) {
+                while (true) {
+                    sleep(1000)
+                    def res = sql "show routine load for ${jobs[i]}"
+                    def state = res[0][8].toString()
+                    if (state == "NEED_SCHEDULE") {
+                        continue;
+                    }
+                    assertEquals(res[0][8].toString(), "PAUSED")
+                    break;
+                }
+
+                sql "stop routine load for ${jobs[i]}"
+                i++
+            }
+        } finally {
+            for (String tableName in tables) {
+                sql new File("""${context.file.parent}/ddl/${tableName}_drop.sql""").text
+            }
+        }
+    }
+
+    // max_error_number
+    i = 0
+    if (enabled != null && enabled.equalsIgnoreCase("true")) {
+        try {
+            for (String tableName in tables) {
+                sql new File("""${context.file.parent}/ddl/${tableName}_drop.sql""").text
+                sql new File("""${context.file.parent}/ddl/${tableName}_create.sql""").text
+
+                def name = "routine_load_" + tableName
+                sql """
+                    CREATE ROUTINE LOAD ${jobs[i]} ON ${name}
+                    COLUMNS(${columns[i]}),
+                    COLUMNS TERMINATED BY "|"
+                    PROPERTIES
+                    (
+                        "max_error_number" = "${filteredRows[i]}",
+                        "max_batch_interval" = "1",
+                        "max_batch_rows" = "300000",
+                        "max_batch_size" = "209715200"
+                    )
+                    FROM KAFKA
+                    (
+                        "kafka_broker_list" = "${externalEnvIp}:${kafka_port}",
+                        "kafka_topic" = "${errorTopics[i]}",
+                        "property.kafka_default_offsets" = "OFFSET_BEGINNING"
+                    );
+                """
+                sql "sync"
+                i++
+            }
+
+            i = 0
+            for (String tableName in tables) {
+                while (true) {
+                    sleep(1000)
+                    def res = sql "show routine load for ${jobs[i]}"
+                    def state = res[0][8].toString()
+                    if (state == "NEED_SCHEDULE") {
+                        continue;
+                    }
+                    assertEquals(res[0][8].toString(), "RUNNING")
+                    break;
+                }
+
+                sql "stop routine load for ${jobs[i]}"
+                i++
+            }
+        } finally {
+            for (String tableName in tables) {
+                sql new File("""${context.file.parent}/ddl/${tableName}_drop.sql""").text
+            }
+        }
+    }
+
+    // max_filter_ratio
+    i = 0
+    if (enabled != null && enabled.equalsIgnoreCase("true")) {
+        try {
+            for (String tableName in tables) {
+                sql new File("""${context.file.parent}/ddl/${tableName}_drop.sql""").text
+                sql new File("""${context.file.parent}/ddl/${tableName}_create.sql""").text
+
+                def name = "routine_load_" + tableName
+                sql """
+                    CREATE ROUTINE LOAD ${jobs[i]} ON ${name}
+                    COLUMNS(${columns[i]}),
+                    COLUMNS TERMINATED BY "|"
+                    PROPERTIES
+                    (
+                        "max_filter_ratio" = "${maxFilterRatio[i]}",
+                        "max_error_number" = "1000",
+                        "max_batch_interval" = "1",
+                        "max_batch_rows" = "300000",
+                        "max_batch_size" = "209715200"
+                    )
+                    FROM KAFKA
+                    (
+                        "kafka_broker_list" = "${externalEnvIp}:${kafka_port}",
+                        "kafka_topic" = "${errorTopics[i]}",
+                        "property.kafka_default_offsets" = "OFFSET_BEGINNING"
+                    );
+                """
+                sql "sync"
+                i++
+            }
+
+            i = 0
+            for (String tableName in tables) {
+                while (true) {
+                    sleep(1000)
+                    def res = sql "show routine load for ${jobs[i]}"
+                    def state = res[0][8].toString()
+                    if (state == "NEED_SCHEDULE") {
+                        continue;
+                    }
+                    assertEquals(res[0][8].toString(), "RUNNING")
+                    break;
+                }
+
+                sql "stop routine load for ${jobs[i]}"
+                i++
+            }
+        } finally {
+            for (String tableName in tables) {
+                sql new File("""${context.file.parent}/ddl/${tableName}_drop.sql""").text
+            }
+        }
+    }
+
+    // load_to_single_tablet
+    // todo need verify
+    i = 0
+    if (enabled != null && enabled.equalsIgnoreCase("true")) {
+        try {
+            for (String tableName in tables) {
+                sql new File("""${context.file.parent}/ddl/${tableName}_drop.sql""").text
+                sql new File("""${context.file.parent}/ddl/${tableName}_create.sql""").text
+
+                def name = "routine_load_" + tableName
+                sql """
+                    CREATE ROUTINE LOAD ${jobs[i]} ON ${name}
+                    COLUMNS(${columns[i]}),
+                    COLUMNS TERMINATED BY "|"
+                    PROPERTIES
+                    (
+                        "load_to_single_tablet" = "true",
+                        "max_batch_interval" = "1",
+                        "max_batch_rows" = "300000",
+                        "max_batch_size" = "209715200"
+                    )
+                    FROM KAFKA
+                    (
+                        "kafka_broker_list" = "${externalEnvIp}:${kafka_port}",
+                        "kafka_topic" = "${topics[i]}",
+                        "property.kafka_default_offsets" = "OFFSET_BEGINNING"
+                    );
+                """
+                sql "sync"
+                i++
+            }
+
+            i = 0
+            for (String tableName in tables) {
+                while (true) {
+                    sleep(1000)
+                    def res = sql "show routine load for ${jobs[i]}"
+                    def state = res[0][8].toString()
+                    if (state == "NEED_SCHEDULE") {
+                        continue;
+                    }
+                    assertEquals(res[0][8].toString(), "RUNNING")
+                    break;
+                }
+
+                sql "stop routine load for ${jobs[i]}"
+                i++
+            }
+        } finally {
+            for (String tableName in tables) {
+                sql new File("""${context.file.parent}/ddl/${tableName}_drop.sql""").text
+            }
+        }
+    }
+
+    // column_separator
+    i = 0
+    if (enabled != null && enabled.equalsIgnoreCase("true")) {
+        try {
+            for (String tableName in tables) {
+                sql new File("""${context.file.parent}/ddl/${tableName}_drop.sql""").text
+                sql new File("""${context.file.parent}/ddl/${tableName}_create.sql""").text
+
+                def name = "routine_load_" + tableName
+                sql """
+                    CREATE ROUTINE LOAD ${jobs[i]} ON ${name}
+                    COLUMNS(${columns[i]})
+                    PROPERTIES
+                    (
+                        "max_batch_interval" = "1",
+                        "max_batch_rows" = "300000",
+                        "max_batch_size" = "209715200"
+                    )
+                    FROM KAFKA
+                    (
+                        "kafka_broker_list" = "${externalEnvIp}:${kafka_port}",
+                        "kafka_topic" = "${topics[i]}",
+                        "property.kafka_default_offsets" = "OFFSET_BEGINNING"
+                    );
+                """
+                sql "sync"
+                i++
+            }
+
+            i = 0
+            for (String tableName in tables) {
+                while (true) {
+                    sleep(1000)
+                    def res = sql "show routine load for ${jobs[i]}"
+                    def state = res[0][8].toString()
+                    if (state == "NEED_SCHEDULE") {
+                        continue;
+                    }
+                    assertEquals(res[0][8].toString(), "PAUSED")
+                    break;
+                }
+
+                sql "stop routine load for ${jobs[i]}"
+                i++
+            }
+        } finally {
+            for (String tableName in tables) {
+                sql new File("""${context.file.parent}/ddl/${tableName}_drop.sql""").text
+            }
+        }
     }
 }