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[improve](regression test)Add test for time series compact empty rows…
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regression-test/data/compaction/test_time_series_compaction_policy.out
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-- This file is automatically generated. You should know what you did if you want to edit this | ||
-- !sql_1 -- | ||
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-- !sql_2 -- | ||
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-- !sql_3 -- | ||
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regression-test/suites/compaction/test_time_series_compaction_policy.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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import org.codehaus.groovy.runtime.IOGroovyMethods | ||
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suite("test_time_series_compaction_polciy", "p0") { | ||
def tableName = "test_time_series_compaction_polciy" | ||
def backendId_to_backendIP = [:] | ||
def backendId_to_backendHttpPort = [:] | ||
getBackendIpHttpPort(backendId_to_backendIP, backendId_to_backendHttpPort); | ||
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def trigger_cumulative_compaction_on_tablets = { tablets -> | ||
for (def tablet : tablets) { | ||
String tablet_id = tablet.TabletId | ||
String backend_id = tablet.BackendId | ||
int times = 1 | ||
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String compactionStatus; | ||
do{ | ||
def (code, out, err) = be_run_cumulative_compaction(backendId_to_backendIP.get(backend_id), backendId_to_backendHttpPort.get(backend_id), tablet_id) | ||
logger.info("Run compaction: code=" + code + ", out=" + out + ", err=" + err) | ||
++times | ||
sleep(1000) | ||
compactionStatus = parseJson(out.trim()).status.toLowerCase(); | ||
} while (compactionStatus!="success" && times<=3) | ||
if (compactionStatus!="success") { | ||
assertTrue(compactionStatus.contains("2000")) | ||
continue; | ||
} | ||
assertEquals("success", compactionStatus) | ||
} | ||
} | ||
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def wait_cumulative_compaction_done = { tablets -> | ||
for (def tablet in tablets) { | ||
boolean running = true | ||
do { | ||
Thread.sleep(1000) | ||
String tablet_id = tablet.TabletId | ||
String backend_id = tablet.BackendId | ||
def (code, out, err) = be_get_compaction_status(backendId_to_backendIP.get(backend_id), backendId_to_backendHttpPort.get(backend_id), tablet_id) | ||
logger.info("Get compaction status: code=" + code + ", out=" + out + ", err=" + err) | ||
assertEquals(code, 0) | ||
def compactionStatus = parseJson(out.trim()) | ||
assertEquals("success", compactionStatus.status.toLowerCase()) | ||
running = compactionStatus.run_status | ||
} while (running) | ||
} | ||
} | ||
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def get_rowset_count = { tablets -> | ||
int rowsetCount = 0 | ||
for (def tablet in tablets) { | ||
def (code, out, err) = curl("GET", tablet.CompactionStatus) | ||
logger.info("Show tablets status: code=" + code + ", out=" + out + ", err=" + err) | ||
assertEquals(code, 0) | ||
def tabletJson = parseJson(out.trim()) | ||
assert tabletJson.rowsets instanceof List | ||
rowsetCount +=((List<String>) tabletJson.rowsets).size() | ||
} | ||
return rowsetCount | ||
} | ||
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// String backend_id; | ||
// backend_id = backendId_to_backendIP.keySet()[0] | ||
// def (code, out, err) = show_be_config(backendId_to_backendIP.get(backend_id), backendId_to_backendHttpPort.get(backend_id)) | ||
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// logger.info("Show config: code=" + code + ", out=" + out + ", err=" + err) | ||
// assertEquals(code, 0) | ||
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sql """ DROP TABLE IF EXISTS ${tableName}; """ | ||
sql """ | ||
CREATE TABLE ${tableName} ( | ||
`id` int(11) NULL, | ||
`name` varchar(255) NULL, | ||
`hobbies` text NULL, | ||
`score` int(11) NULL | ||
) ENGINE=OLAP | ||
DUPLICATE KEY(`id`) | ||
COMMENT 'OLAP' | ||
DISTRIBUTED BY HASH(`id`) BUCKETS 2 | ||
PROPERTIES ( "replication_num" = "1", "disable_auto_compaction" = "true", "compaction_policy" = "time_series"); | ||
""" | ||
// insert 16 lines, BUCKETS = 2 | ||
sql """ INSERT INTO ${tableName} VALUES (1, "andy", "andy love apple", 100); """ | ||
sql """ INSERT INTO ${tableName} VALUES (1, "bason", "bason hate pear", 99); """ | ||
sql """ INSERT INTO ${tableName} VALUES (1, "andy", "andy love apple", 100); """ | ||
sql """ INSERT INTO ${tableName} VALUES (1, "bason", "bason hate pear", 99); """ | ||
sql """ INSERT INTO ${tableName} VALUES (1, "andy", "andy love apple", 100); """ | ||
sql """ INSERT INTO ${tableName} VALUES (100, "andy", "andy love apple", 100); """ | ||
sql """ INSERT INTO ${tableName} VALUES (100, "bason", "bason hate pear", 99); """ | ||
sql """ INSERT INTO ${tableName} VALUES (100, "andy", "andy love apple", 100); """ | ||
sql """ INSERT INTO ${tableName} VALUES (100, "bason", "bason hate pear", 99); """ | ||
sql """ INSERT INTO ${tableName} VALUES (100, "andy", "andy love apple", 100); """ | ||
sql """ INSERT INTO ${tableName} VALUES (1, "andy", "andy love apple", 100); """ | ||
sql """ INSERT INTO ${tableName} VALUES (1, "bason", "bason hate pear", 99); """ | ||
sql """ INSERT INTO ${tableName} VALUES (1, "andy", "andy love apple", 100); """ | ||
sql """ INSERT INTO ${tableName} VALUES (1, "bason", "bason hate pear", 99); """ | ||
sql """ INSERT INTO ${tableName} VALUES (1, "andy", "andy love apple", 100); """ | ||
sql """ INSERT INTO ${tableName} VALUES (100, "andy", "andy love apple", 100); """ | ||
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qt_sql_1 """ select count() from ${tableName} """ | ||
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//TabletId,ReplicaId,BackendId,SchemaHash,Version,LstSuccessVersion,LstFailedVersion,LstFailedTime,LocalDataSize,RemoteDataSize,RowCount,State,LstConsistencyCheckTime,CheckVersion,VersionCount,PathHash,MetaUrl,CompactionStatus | ||
def tablets = sql_return_maparray """ show tablets from ${tableName}; """ | ||
// BUCKETS = 2 | ||
// before cumulative compaction, there are 17 * 2 = 34 rowsets. | ||
int rowsetCount = get_rowset_count.call(tablets); | ||
assert (rowsetCount == 34) | ||
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// trigger cumulative compactions for all tablets in table | ||
trigger_cumulative_compaction_on_tablets.call(tablets) | ||
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// wait for cumulative compaction done | ||
wait_cumulative_compaction_done.call(tablets) | ||
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// after cumulative compaction, there is only 26 rowset. | ||
// 5 consecutive empty versions are merged into one empty version | ||
// 34 - 2*4 = 26 | ||
rowsetCount = get_rowset_count.call(tablets); | ||
assert (rowsetCount == 26) | ||
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// trigger cumulative compactions for all tablets in ${tableName} | ||
trigger_cumulative_compaction_on_tablets.call(tablets) | ||
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// wait for cumulative compaction done | ||
wait_cumulative_compaction_done.call(tablets) | ||
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// after cumulative compaction, there is only 22 rowset. | ||
// 26 - 4 = 22 | ||
rowsetCount = get_rowset_count.call(tablets); | ||
assert (rowsetCount == 22) | ||
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qt_sql_2 """ select count() from ${tableName}""" | ||
sql """ alter table ${tableName} set ("time_series_compaction_file_count_threshold"="10")""" | ||
sql """sync""" | ||
// trigger cumulative compactions for all tablets in ${tableName} | ||
trigger_cumulative_compaction_on_tablets.call(tablets) | ||
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// wait for cumulative compaction done | ||
wait_cumulative_compaction_done.call(tablets) | ||
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// after cumulative compaction, there is only 11 rowset. | ||
rowsetCount = get_rowset_count.call(tablets); | ||
assert (rowsetCount == 11) | ||
qt_sql_3 """ select count() from ${tableName}""" | ||
} |