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[case]Load data with load_parallelism=any > 1 and stream load with co…
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regression-test/data/load_p0/broker_load/test_s3_load_with_load_parallelism.out
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-- This file is automatically generated. You should know what you did if you want to edit this | ||
-- !sql -- | ||
5000000 | ||
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regression-test/data/load_p0/stream_load/test_compress_type.out
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-- This file is automatically generated. You should know what you did if you want to edit this | ||
-- !sql -- | ||
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regression-test/suites/load_p0/broker_load/test_s3_load_with_load_parallelism.groovy
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// 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. | ||
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suite("test_s3_load_with_load_parallelism", "load_p0") { | ||
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def tableName = "test_load_parallelism" | ||
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sql """ DROP TABLE IF EXISTS ${tableName} """ | ||
sql """ | ||
CREATE TABLE IF NOT EXISTS ${tableName}( | ||
`col_0` BIGINT NOT NULL,`col_1` VARCHAR(20),`col_2` VARCHAR(20),`col_3` VARCHAR(20),`col_4` VARCHAR(20), | ||
`col_5` VARCHAR(20),`col_6` VARCHAR(20),`col_7` VARCHAR(20),`col_8` VARCHAR(20),`col_9` VARCHAR(20), | ||
`col_10` VARCHAR(20),`col_11` VARCHAR(20),`col_12` VARCHAR(20),`col_13` VARCHAR(20),`col_14` VARCHAR(20), | ||
`col_15` VARCHAR(20),`col_16` VARCHAR(20),`col_17` VARCHAR(20),`col_18` VARCHAR(20),`col_19` VARCHAR(20), | ||
`col_20` VARCHAR(20),`col_21` VARCHAR(20),`col_22` VARCHAR(20),`col_23` VARCHAR(20),`col_24` VARCHAR(20), | ||
`col_25` VARCHAR(20),`col_26` VARCHAR(20),`col_27` VARCHAR(20),`col_28` VARCHAR(20),`col_29` VARCHAR(20), | ||
`col_30` VARCHAR(20),`col_31` VARCHAR(20),`col_32` VARCHAR(20),`col_33` VARCHAR(20),`col_34` VARCHAR(20), | ||
`col_35` VARCHAR(20),`col_36` VARCHAR(20),`col_37` VARCHAR(20),`col_38` VARCHAR(20),`col_39` VARCHAR(20), | ||
`col_40` VARCHAR(20),`col_41` VARCHAR(20),`col_42` VARCHAR(20),`col_43` VARCHAR(20),`col_44` VARCHAR(20), | ||
`col_45` VARCHAR(20),`col_46` VARCHAR(20),`col_47` VARCHAR(20),`col_48` VARCHAR(20),`col_49` VARCHAR(20) | ||
) ENGINE=OLAP | ||
DUPLICATE KEY(`col_0`) DISTRIBUTED BY HASH(`col_0`) BUCKETS 1 | ||
PROPERTIES ( "replication_num" = "1" ); | ||
""" | ||
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def attributesList = [ | ||
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] | ||
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// attributesList.add(new LoadAttributes("s3://doris-build-1308700295/regression/load/data/enclose_not_trim_quotes.csv", | ||
// "${tableName}", "", "COLUMNS TERMINATED BY \",\"", "FORMAT AS \"CSV\"", "(k1,k2,v1,v2,v3,v4)", | ||
// "PROPERTIES (\"enclose\" = \"\\\"\", \"escape\" = \"\\\\\")").addProperties("trim_double_quotes", "false")) | ||
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attributesList.add(new LoadAttributes("s3://test-for-student-1308700295/regression/segcompaction/segcompaction.orc", | ||
"${tableName}", "", "", "FORMAT AS \"ORC\"", "(col_0, col_1, col_2, col_3, col_4, col_5, col_6, col_7, col_8, col_9, col_10, col_11, col_12, col_13, col_14, col_15, col_16, col_17, col_18, col_19, col_20, col_21, col_22, col_23, col_24, col_25, col_26, col_27, col_28, col_29, col_30, col_31, col_32, col_33, col_34, col_35, col_36, col_37, col_38, col_39, col_40, col_41, col_42, col_43, col_44, col_45, col_46, col_47, col_48, col_49)", "").addProperties("load_parallelism", "3")) | ||
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def ak = getS3AK() | ||
def sk = getS3SK() | ||
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def i = 0 | ||
for (LoadAttributes attributes : attributesList) { | ||
def label = "test_s3_load_escape_enclose" + UUID.randomUUID().toString().replace("-", "_") + "_" + i | ||
attributes.label = label | ||
def prop = attributes.getPropertiesStr() | ||
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sql """ | ||
LOAD LABEL $label ( | ||
DATA INFILE("$attributes.dataDesc.path") | ||
INTO TABLE $attributes.dataDesc.tableName | ||
$attributes.dataDesc.columnTermClause | ||
$attributes.dataDesc.lineTermClause | ||
$attributes.dataDesc.formatClause | ||
$attributes.dataDesc.columns | ||
$attributes.dataDesc.whereExpr | ||
) | ||
WITH S3 ( | ||
"AWS_ACCESS_KEY" = "$ak", | ||
"AWS_SECRET_KEY" = "$sk", | ||
"AWS_ENDPOINT" = "cos.ap-beijing.myqcloud.com", | ||
"AWS_REGION" = "ap-beijing" | ||
) | ||
${prop} | ||
""" | ||
// "AWS_ENDPOINT" = "cos.ap-beijing.myqcloud.com", | ||
// "AWS_ACCESS_KEY" = "AKIDd9RVMzIOI0V7Wlnbr9JG0WrhJk28zc2H", | ||
// "AWS_SECRET_KEY"="4uWxMhqnW3Plz97sPjqlSUXO1RhokRuO", | ||
// "AWS_REGION" = "ap-beijing" | ||
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def max_try_milli_secs = 600000 | ||
while (max_try_milli_secs > 0) { | ||
String[][] result = sql """ show load where label="$attributes.label" order by createtime desc limit 1; """ | ||
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if (result[0][2].equals("FINISHED")) { | ||
if (attributes.isExceptFailed) { | ||
assertTrue(false, "load should be failed but was success: $result") | ||
} | ||
logger.info("Load FINISHED " + attributes.label + ": $result") | ||
break | ||
} | ||
if (result[0][2].equals("CANCELLED")) { | ||
if (attributes.dataDesc.path.split("/")[-1] == "enclose_incomplete.csv" || attributes.dataDesc.path.split("/")[-1] == "enclose_without_escape.csv") { | ||
break | ||
} | ||
if (attributes.isExceptFailed) { | ||
logger.info("Load FINISHED " + attributes.label) | ||
break | ||
} | ||
assertTrue(false, "load failed: $result") | ||
break | ||
} | ||
Thread.sleep(1000) | ||
max_try_milli_secs -= 1000 | ||
if (max_try_milli_secs <= 0) { | ||
assertTrue(false, "load Timeout: $attributes.label") | ||
} | ||
} | ||
} | ||
sql "sync" | ||
qt_sql """ | ||
SELECT count(*) FROM ${tableName} | ||
""" | ||
} | ||
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class DataDesc { | ||
public String mergeType = "" | ||
public String path | ||
public String tableName | ||
public String lineTermClause | ||
public String columnTermClause | ||
public String formatClause | ||
public String columns | ||
public String whereExpr | ||
} | ||
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class LoadAttributes { | ||
LoadAttributes(String path, String tableName, String lineTermClause, String columnTermClause, String formatClause, | ||
String columns, String whereExpr, boolean isExceptFailed = false) { | ||
this.dataDesc = new DataDesc() | ||
this.dataDesc.path = path | ||
this.dataDesc.tableName = tableName | ||
this.dataDesc.lineTermClause = lineTermClause | ||
this.dataDesc.columnTermClause = columnTermClause | ||
this.dataDesc.formatClause = formatClause | ||
this.dataDesc.columns = columns | ||
this.dataDesc.whereExpr = whereExpr | ||
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this.isExceptFailed = isExceptFailed | ||
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properties = new HashMap<>() | ||
properties.put("use_new_load_scan_node", "true") | ||
} | ||
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LoadAttributes addProperties(String k, String v) { | ||
properties.put(k, v) | ||
return this | ||
} | ||
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String getPropertiesStr() { | ||
if (properties.isEmpty()) { | ||
return "" | ||
} | ||
String prop = "PROPERTIES (" | ||
properties.forEach (k, v) -> { | ||
prop += "\"${k}\" = \"${v}\"," | ||
} | ||
prop = prop.substring(0, prop.size() - 1) | ||
prop += ")" | ||
return prop | ||
} | ||
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LoadAttributes withPathStyle() { | ||
usePathStyle = "true" | ||
return this | ||
} | ||
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public DataDesc dataDesc | ||
public Map<String, String> properties | ||
public String label | ||
public String usePathStyle = "false" | ||
public boolean isExceptFailed | ||
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} |
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regression-test/suites/load_p0/stream_load/ddl/basic_data.sql
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CREATE TABLE basic_data | ||
( | ||
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 | ||
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) | ||
DUPLICATE KEY(k00) | ||
DISTRIBUTED BY HASH(k00) BUCKETS 32 | ||
PROPERTIES ( | ||
"bloom_filter_columns"="k05", | ||
"replication_num" = "1" | ||
); |
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