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Lchangliang committed May 27, 2024
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Original file line number Diff line number Diff line change
Expand Up @@ -37,11 +37,6 @@ mv_tbl_scalar_types_dup_1 DUP_KEYS mv_c_tinyint TINYINT TINYINT Yes true \N tru
mv_c_char CHARACTER CHARACTER Yes false \N NONE true `c_char`
mv_c_varchar VARCHAR(65533) VARCHAR(65533) Yes false \N NONE true `c_varchar`
mv_c_string TEXT TEXT Yes false \N NONE true `c_string`

mv_tbl_scalar_types_dup_2 AGG_KEYS mv_k1 BIGINT BIGINT Yes true \N true `k1`
mva_SUM__CAST(`c_int` AS BIGINT) BIGINT BIGINT Yes false \N SUM true CAST(`c_int` AS BIGINT)
mva_MAX__`c_int` INT INT Yes false \N MAX true `c_int`
mva_MIN__`c_int` INT INT Yes false \N MIN true `c_int`

-- !sql --
-2147475406 true 45 23794 -11023 915989078 2115356192 15927.068 1.392557423391501E9 45951348783208518.810 8340516346665031.310 2022-01-26 2022-04-13T11:13:48 2022-01-31 2022-02-16T06:07:21 130.50.6.0 [email protected] Londonderry Alley 61
Expand Down Expand Up @@ -105,9 +100,4 @@ mv_tbl_scalar_types_dup_1 DUP_KEYS mv_c_tinyint TINYINT TINYINT Yes true \N tru
mv_c_char CHARACTER CHARACTER Yes false \N NONE true `c_char`
mv_c_varchar VARCHAR(65533) VARCHAR(65533) Yes false \N NONE true `c_varchar`
mv_c_string TEXT TEXT Yes false \N NONE true `c_string`

mv_tbl_scalar_types_dup_2 AGG_KEYS mv_k1 BIGINT BIGINT Yes true \N true `k1`
mva_SUM__CAST(`c_int` AS BIGINT) BIGINT BIGINT Yes false \N SUM true CAST(`c_int` AS BIGINT)
mva_MAX__`c_int` BIGINT BIGINT Yes false \N MAX true `c_int`
mva_MIN__`c_int` BIGINT BIGINT Yes false \N MIN true `c_int`

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@@ -0,0 +1,75 @@
-- This file is automatically generated. You should know what you did if you want to edit this
-- !sql --
tbl_scalar_types_dup DUP_KEYS k1 BIGINT BIGINT Yes true \N true
c_bool BOOLEAN BOOLEAN Yes false \N NONE true
c_tinyint TINYINT TINYINT Yes false \N NONE true
c_smallint SMALLINT SMALLINT Yes false \N NONE true
c_int INT INT Yes false \N NONE true
c_bigint BIGINT BIGINT Yes false \N NONE true
c_largeint LARGEINT LARGEINT Yes false \N NONE true
c_float FLOAT FLOAT Yes false \N NONE true
c_double DOUBLE DOUBLE Yes false \N NONE true
c_decimal DECIMAL(20, 3) DECIMALV3(20, 3) Yes false \N NONE true
c_decimalv3 DECIMAL(20, 3) DECIMALV3(20, 3) Yes false \N NONE true
c_date DATE DATEV2 Yes false \N NONE true
c_datetime DATETIME DATETIMEV2(0) Yes false \N NONE true
c_datev2 DATE DATEV2 Yes false \N NONE true
c_datetimev2 DATETIME DATETIMEV2(0) Yes false \N NONE true
c_char CHAR(15) CHAR(15) Yes false \N NONE true
c_varchar VARCHAR(100) VARCHAR(100) Yes false \N NONE true
c_string TEXT TEXT Yes false \N NONE true

mv_tbl_scalar_types_dup_2 AGG_KEYS mv_k1 BIGINT BIGINT Yes true \N true `k1`
mva_SUM__CAST(`c_int` AS BIGINT) BIGINT BIGINT Yes false \N SUM true CAST(`c_int` AS BIGINT)
mva_MAX__`c_int` INT INT Yes false \N MAX true `c_int`
mva_MIN__`c_int` INT INT Yes false \N MIN true `c_int`

-- !sql --
-2147475406 true 45 23794 -11023 915989078 2115356192 15927.068 1.392557423391501E9 45951348783208518.810 8340516346665031.310 2022-01-26 2022-04-13T11:13:48 2022-01-31 2022-02-16T06:07:21 130.50.6.0 [email protected] Londonderry Alley 61
-2147424303 false -28 -5177 -1409 149417728 553396597 -10123.558 -1.268722910924068E9 67354830622005524.848 52407243294991364.348 2022-06-29 2022-05-06T09:30:02 2023-01-09 2022-03-12T14:26 109.50.92.119 [email protected] Heath Drive 38
-2147413967 true -75 30533 -5435 -727385447 32929830 9577.564 1.334766997510087E9 39973144022098028.800 5886463393340733.108 2022-06-23 2022-05-10T19:13:50 2022-01-17 2022-11-26T22:49:36 157.38.90.25 [email protected] Loeprich Crossing 43
-2147380173 true -79 -5785 9752 1851350218 1121852298 25652.402 -1.618061059513558E9 95821873014545736.897 38923569966532828.626 2022-10-30 2022-05-02T17:06:33 2022-08-11 2022-02-08T10:19:47 217.198.98.239 [email protected] Lawn Lane 78
-2147374459 false -118 -30267 -14606 262497842 -1811881704 8211.805 2.37851933046663E8 37354136531251060.755 63024710145324035.720 2022-10-11 2022-01-17T10:20:18 2022-04-12 2022-10-24T18:14:38 16.243.195.81 [email protected] Annamark Pass 72
-2147369329 false -121 -22859 4733 -378861997 385323541 -22969.846 1.483825622420542E9 50940877800950041.950 87108729227937387.294 2022-06-05 2022-08-18T05:39:56 2022-08-21 2022-12-12T08:43:59 16.27.107.167 [email protected] Village Green Terrace 55
-2147367329 true 84 21471 -29331 1823545950 1200800855 -13832.219 8.01505090724918E8 45495296019797580.477 45196001436348967.557 2022-02-17 2022-05-23T01:44:31 2022-08-01 2022-08-16T10:32:36 84.110.209.128 [email protected] Packers Street 34
-2147339287 true 62 28989 -32018 650184880 -365849435 -21644.414 -7.8648426469503E7 92593387160450273.870 39588697152489527.185 2022-07-23 2023-01-03T11:54:35 2022-08-02 2022-05-19T18:35:36 30.194.6.115 [email protected] Basil Street 79
-2147336695 false 42 -7202 27919 1898713395 1177326785 -302.0104 -1.268944460183375E9 61604656210729534.717 6683002058708470.832 2022-08-20 2022-08-14T01:41:12 2022-11-02 2022-05-15T04:22:07 36.86.77.214 [email protected] Briar Crest Crossing 37
-2147330925 false -122 -21211 -2331 1906695924 -1342280417 5545.3013 -1.286038914681617E9 31911132334645267.930 84364209624711210.131 2022-02-16 2022-03-11T12:05:33 2022-11-24 2022-12-17T19:56:16 6.87.14.74 [email protected] Forest Run Terrace 13

-- !sql --
-2145739104 true 10 -22603 6132 -984517723 138439036 8683.904 1.681202635040786E9 49683339998558535.395 38251259739648714.297 2022-04-26 2022-09-12T00:32:18 2022-11-20 2023-01-09T16:19:06 180.215.212.86 [email protected] Darwin Center 26
-2140012242 false 10 30893 -16192 -175522451 -1382546546 21324.643 2.017216342012696E9 41477187479096470.647 25445001389089818.791 2022-11-06 2022-09-02T12:04:05 2022-05-29 2022-02-04T22:21:46 24.25.69.81 [email protected] Jay Way 9
-2130269306 false 10 30342 -18732 1461226453 -1257020753 -10751.815 3.44246067782915E8 2456538047280540.838 37394928326629689.946 2022-11-28 2022-05-04T20:40:19 2022-08-25 2022-03-18T10:17:35 179.198.200.96 [email protected] Tennyson Street 83
-2122709724 true 10 -8985 -30620 -1375603501 631094037 14711.055 -1.210030062083139E9 96220820029888063.156 42161382030214480.728 2022-05-28 2023-01-03T20:44:27 2022-06-11 2022-07-26T22:49:22 13.249.135.222 [email protected] Riverside Parkway 72
-2117749737 false 10 26335 30644 1841596444 283308539 18848.148 3.5339747538014E8 11924963560520504.166 28287350935413049.601 2022-08-01 2022-04-21T02:28:54 2022-02-27 2022-09-02T17:11:17 183.108.102.1 [email protected] Maple Wood Street 40
-2113239713 false 10 27624 31311 711781944 -1838033894 -12299.482 -1.88263132184351E9 9480201396831049.605 52114965946122870.302 2022-06-11 2022-08-31T08:54:30 2022-03-26 2023-01-08T23:28:27 200.161.156.176 [email protected] Westport Drive 82
-2107773486 false 10 27096 10368 1579374450 1370327646 -15339.031 2.110010890135424E9 54514853031265543.378 38546969634312019.180 2022-12-31 2022-10-07T10:18:27 2022-10-01 2022-07-09T11:41:11 121.120.227.53 [email protected] Sugar Crossing 43
-2107242025 true 10 25215 26566 1292568651 -2126795906 11912.074 -2.140044503516609E9 98695561934257164.368 18845397264645075.775 2022-05-21 2022-09-24T23:00:21 2022-02-12 2022-11-24T19:17:03 141.226.90.50 [email protected] Cody Street 78
-2106969609 true 10 29572 16738 1736115820 -957295886 -13319.206 -1.333603562816737E9 91224478600376111.942 69457425159617037.453 2022-09-06 2022-05-08T19:52:36 2022-04-05 2022-08-17T19:23:31 222.79.139.99 [email protected] Oxford Alley 77
-2102307005 true 10 -23674 24613 -1810828490 -47095409 -14686.167 2.072108685694799E9 39847820962230526.125 584354832299375.156 2022-03-27 2022-02-11T13:46:06 2022-12-25 2022-11-28T09:37:49 213.146.33.250 [email protected] Eagle Crest Terrace 84

-- !sql --
tbl_scalar_types_dup DUP_KEYS k1 BIGINT BIGINT Yes true \N true
c_bool BOOLEAN BOOLEAN Yes false \N NONE true
c_tinyint TINYINT TINYINT Yes false \N NONE true
c_smallint SMALLINT SMALLINT Yes false \N NONE true
c_int BIGINT BIGINT Yes false \N NONE true
c_bigint BIGINT BIGINT Yes false \N NONE true
c_largeint LARGEINT LARGEINT Yes false \N NONE true
c_float FLOAT FLOAT Yes false \N NONE true
c_double DOUBLE DOUBLE Yes false \N NONE true
c_decimal DECIMAL(20, 3) DECIMALV3(20, 3) Yes false \N NONE true
c_decimalv3 DECIMAL(20, 3) DECIMALV3(20, 3) Yes false \N NONE true
c_date DATE DATEV2 Yes false \N NONE true
c_datetime DATETIME DATETIMEV2(0) Yes false \N NONE true
c_datev2 DATE DATEV2 Yes false \N NONE true
c_datetimev2 DATETIME DATETIMEV2(0) Yes false \N NONE true
c_char CHAR(15) CHAR(15) Yes false \N NONE true
c_varchar VARCHAR(100) VARCHAR(100) Yes false \N NONE true
c_string TEXT TEXT Yes false \N NONE true

mv_tbl_scalar_types_dup_2 AGG_KEYS mv_k1 BIGINT BIGINT Yes true \N true `k1`
mva_SUM__CAST(`c_int` AS BIGINT) BIGINT BIGINT Yes false \N SUM true CAST(`c_int` AS BIGINT)
mva_MAX__`c_int` BIGINT BIGINT Yes false \N MAX true `c_int`
mva_MIN__`c_int` BIGINT BIGINT Yes false \N MIN true `c_int`

Original file line number Diff line number Diff line change
Expand Up @@ -69,7 +69,6 @@ suite("schema_change_modify_mv_column_type") {
}
}
createMV ("""CREATE MATERIALIZED VIEW mv_${testTable}_1 AS SELECT c_tinyint, c_bool, k1, c_smallint, c_int, c_bigint, c_largeint, c_float, c_double, c_decimal, c_decimalv3, c_date, c_datetime, c_datev2, c_datetimev2, c_char, c_varchar, c_string FROM ${testTable} ORDER BY c_tinyint, c_bool, k1""")
createMV ("""CREATE MATERIALIZED VIEW mv_${testTable}_2 AS SELECT k1, sum(c_int), max(c_int), min(c_int) FROM ${testTable} GROUP BY k1""")
qt_sql """ desc ${testTable} all """
sql "set topn_opt_limit_threshold = 100"
qt_sql "SELECT * from ${testTable} order by 1, 2, 3 limit 10"
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,98 @@
// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.

import org.codehaus.groovy.runtime.IOGroovyMethods

suite("schema_change_modify_mv_column_type2") {
//test legacy planner

def dataFile = """${getS3Url()}/regression/datatypes/test_scalar_types_10w.csv"""

// define dup key table1
def testTable = "tbl_scalar_types_dup"
sql "DROP TABLE IF EXISTS ${testTable} FORCE"
sql """
CREATE TABLE IF NOT EXISTS ${testTable} (
`k1` bigint(11) NULL,
`c_bool` boolean NULL,
`c_tinyint` tinyint(4) NULL,
`c_smallint` smallint(6) NULL,
`c_int` int(11) NULL,
`c_bigint` bigint(20) NULL,
`c_largeint` largeint(40) NULL,
`c_float` float NULL,
`c_double` double NULL,
`c_decimal` decimal(20, 3) NULL,
`c_decimalv3` decimalv3(20, 3) NULL,
`c_date` date NULL,
`c_datetime` datetime NULL,
`c_datev2` datev2 NULL,
`c_datetimev2` datetimev2(0) NULL,
`c_char` char(15) NULL,
`c_varchar` varchar(100) NULL,
`c_string` text NULL
) ENGINE=OLAP
DUPLICATE KEY(`k1`)
COMMENT 'OLAP'
DISTRIBUTED BY HASH(`k1`) BUCKETS 1
PROPERTIES("replication_num" = "1");
"""

// load data
streamLoad {
table testTable
file dataFile
time 60000

check { result, exception, startTime, endTime ->
if (exception != null) {
throw exception
}
log.info("Stream load result: ${result}".toString())
def json = parseJson(result)
assertEquals(100000, json.NumberTotalRows)
assertEquals(100000, json.NumberLoadedRows)
}
}
createMV ("""CREATE MATERIALIZED VIEW mv_${testTable}_2 AS SELECT k1, sum(c_int), max(c_int), min(c_int) FROM ${testTable} GROUP BY k1""")
qt_sql """ desc ${testTable} all """
sql "set topn_opt_limit_threshold = 100"
qt_sql "SELECT * from ${testTable} order by 1, 2, 3 limit 10"
qt_sql "SELECT * from ${testTable} where c_tinyint = 10 order by 1, 2, 3 limit 10 "

sql """
ALTER table ${testTable} MODIFY COLUMN c_int BIGINT;
"""
def getJobState = { tableName ->
def jobStateResult = sql """ SHOW ALTER TABLE COLUMN WHERE IndexName='${tableName}' ORDER BY createtime DESC LIMIT 1 """
return jobStateResult[0][9]
}
int max_try_time = 100
while (max_try_time--){
String result = getJobState(testTable)
if (result == "FINISHED") {
break
} else {
sleep(2000)
if (max_try_time < 1){
assertEquals(1,2)
}
}
}
qt_sql """ desc ${testTable} all """
sql "INSERT INTO ${testTable} SELECT * from ${testTable}"
}

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