Wei-hao-Li commented on code in PR #9192:
URL: https://github.com/apache/iotdb/pull/9192#discussion_r1126097697
##########
docs/zh/UserGuide/Operators-Functions/Aggregation.md:
##########
@@ -104,4 +105,53 @@ select count_if(s1=0 & s2=0, 3, 'ignoreNull'='false'),
count_if(s1=1 & s2=0, 3,
+------------------------------------------------------------------------+------------------------------------------------------------------------+
| 1|
1|
+------------------------------------------------------------------------+------------------------------------------------------------------------+
+```
+
+## TIME_DURATION
+### 语法
+```sql
+select
+ time_duration(Path),[COMMA time_duration(Path)]...
Review Comment:
we just need `time_duration(Path)` & keep doc same between English and
Chinese doc.
##########
integration-test/src/test/java/org/apache/iotdb/db/it/aggregation/IoTDBTimeDurationIT.java:
##########
@@ -0,0 +1,368 @@
+/*
+ * 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.
+ */
+
+package org.apache.iotdb.db.it.aggregation;
+
+import org.apache.iotdb.it.env.EnvFactory;
+import org.apache.iotdb.it.framework.IoTDBTestRunner;
+import org.apache.iotdb.itbase.category.ClusterIT;
+import org.apache.iotdb.itbase.category.LocalStandaloneIT;
+import org.apache.iotdb.rpc.TSStatusCode;
+
+import org.junit.AfterClass;
+import org.junit.BeforeClass;
+import org.junit.Test;
+import org.junit.experimental.categories.Category;
+import org.junit.runner.RunWith;
+
+import static org.apache.iotdb.db.it.utils.TestUtils.assertTestFail;
+import static org.apache.iotdb.db.it.utils.TestUtils.prepareData;
+import static org.apache.iotdb.db.it.utils.TestUtils.resultSetEqualTest;
+
+@RunWith(IoTDBTestRunner.class)
+@Category({LocalStandaloneIT.class, ClusterIT.class})
+public class IoTDBTimeDurationIT {
+ // 2 devices 4 regions
+ protected static final String[] SQLs =
+ new String[] {
+ "CREATE DATABASE root.db",
+ "CREATE DATABASE root.db1",
+ "CREATE TIMESERIES root.db.d1.s1 WITH DATATYPE=INT32, ENCODING=PLAIN
tags(city=Beijing)",
+ "CREATE TIMESERIES root.db.d1.s2 WITH DATATYPE=INT32, ENCODING=PLAIN
tags(city=Nanjing)",
+ "CREATE TIMESERIES root.db.d1.s3 WITH DATATYPE=BOOLEAN, ENCODING=PLAIN
tags(city=Nanjing)",
+ "CREATE TIMESERIES root.db.d2.s1 WITH DATATYPE=INT32, ENCODING=PLAIN
tags(city=Nanjing)",
+ "CREATE TIMESERIES root.db.d2.s2 WITH DATATYPE=INT32, ENCODING=PLAIN
tags(city=Nanjing)",
+ "CREATE TIMESERIES root.db.d2.s3 WITH DATATYPE=BOOLEAN, ENCODING=PLAIN
tags(city=Nanjing)",
+ "CREATE TIMESERIES root.db1.d1.s1 WITH DATATYPE=INT32, ENCODING=PLAIN
tags(city=Nanjing)",
+ "CREATE TIMESERIES root.db1.d1.s2 WITH DATATYPE=INT32, ENCODING=PLAIN
tags(city=Nanjing)",
+ "CREATE TIMESERIES root.db1.d1.s3 WITH DATATYPE=BOOLEAN,
ENCODING=PLAIN tags(city=Nanjing)",
+ "CREATE TIMESERIES root.db1.d2.s1 WITH DATATYPE=INT32, ENCODING=PLAIN
tags(city=Nanjing)",
+ "CREATE TIMESERIES root.db1.d2.s2 WITH DATATYPE=INT32, ENCODING=PLAIN
tags(city=Nanjing)",
+ "CREATE TIMESERIES root.db1.d2.s3 WITH DATATYPE=BOOLEAN,
ENCODING=PLAIN tags(city=Nanjing)",
+ "INSERT INTO root.db.d1(timestamp,s1,s2,s3) values(1, 2, 10, true)",
+ "INSERT INTO root.db.d1(timestamp,s1,s2,s3) values(2, null, 20, true)",
+ "INSERT INTO root.db.d1(timestamp,s1,s2,s3) values(3, 10, 0, null)",
+ "INSERT INTO root.db.d1(timestamp,s1,s2,s3) values(4, 303, 30, true)",
+ "INSERT INTO root.db.d1(timestamp,s1,s2,s3) values(5, null, 20, true)",
+ "INSERT INTO root.db.d1(timestamp,s1,s2,s3) values(6, 110, 20, true)",
+ "INSERT INTO root.db.d1(timestamp,s1,s2,s3) values(7, 302, 20, true)",
+ "INSERT INTO root.db.d1(timestamp,s1,s2,s3) values(8, 110, null,
true)",
+ "INSERT INTO root.db.d1(timestamp,s1,s2,s3) values(9, 60, 20, true)",
+ "INSERT INTO root.db.d1(timestamp,s1,s2,s3) values(10,70, 20, null)",
+ "INSERT INTO root.db.d1(timestamp,s1,s2,s3) values(1677570934, 30, 0,
true)",
+ "INSERT INTO root.db.d2(timestamp,s1,s2,s3) values(1, 80, 30, true)",
+ "INSERT INTO root.db.d2(timestamp,s1,s2,s3) values(2, null, 30, true)",
+ "INSERT INTO root.db.d2(timestamp,s1,s2,s3) values(3, 60, 30, null)",
+ "INSERT INTO root.db.d2(timestamp,s1,s2,s3) values(4, 40, 20, true)",
+ "INSERT INTO root.db.d2(timestamp,s1,s2,s3) values(5, null, 40, true)",
+ "INSERT INTO root.db.d2(timestamp,s1,s2,s3) values(6, 40, 50, true)",
+ "INSERT INTO root.db.d2(timestamp,s1,s2,s3) values(7, 40, 60, true)",
+ "INSERT INTO root.db.d2(timestamp,s1,s2,s3) values(8, 40, null, true)",
+ "INSERT INTO root.db.d2(timestamp,s1,s2,s3) values(9, 50, 70, true)",
+ "INSERT INTO root.db.d2(timestamp,s1,s2,s3) values(10, 60, 80, null)",
+ "INSERT INTO root.db.d2(timestamp,s1,s2,s3) values(1677570934, 90, 90,
true)",
+ "INSERT INTO root.db.d1(timestamp,s1,s2,s3) values(1, 70, 90, true)",
+ "INSERT INTO root.db1.d1(timestamp,s1,s2,s3) values(2, null, 80,
true)",
+ "INSERT INTO root.db1.d1(timestamp,s1,s2,s3) values(3, 80, 70, null)",
+ "INSERT INTO root.db1.d1(timestamp,s1,s2,s3) values(4, 90, 70, true)",
+ "INSERT INTO root.db1.d1(timestamp,s1,s2,s3) values(5, null, 60,
true)",
+ "INSERT INTO root.db1.d1(timestamp,s1,s2,s3) values(6, 20, 100, true)",
+ "INSERT INTO root.db1.d1(timestamp,s1,s2,s3) values(7, 10, 20, true)",
+ "INSERT INTO root.db1.d1(timestamp,s1,s2,s3) values(8, 20, null,
true)",
+ "INSERT INTO root.db1.d1(timestamp,s1,s2,s3) values(9, 30, 20, true)",
+ "INSERT INTO root.db1.d1(timestamp,s1,s2,s3) values(10, 10, 20, null)",
+ "INSERT INTO root.db1.d1(timestamp,s1,s2,s3) values(1677570934, 0, 20,
true)",
+ "INSERT INTO root.db1.d2(timestamp,s1,s2,s3) values(1, 10, 20, true)",
+ "INSERT INTO root.db1.d2(timestamp,s1,s2,s3) values(2, null, null,
true)",
+ "INSERT INTO root.db1.d2(timestamp,s1,s2,s3) values(3, null, 20,
null)",
+ "INSERT INTO root.db1.d2(timestamp,s1,s2,s3) values(4, 0, 0, true)",
+ "INSERT INTO root.db1.d2(timestamp,s1,s2,s3) values(5, null, 0, true)",
+ "INSERT INTO root.db1.d2(timestamp,s1,s2,s3) values(6, 0, 0, true)",
+ "INSERT INTO root.db1.d2(timestamp,s1,s2,s3) values(7, 1, 0, true)",
+ "INSERT INTO root.db1.d2(timestamp,s1,s2,s3) values(8, 1, null, true)",
+ "INSERT INTO root.db1.d2(timestamp,s1,s2,s3) values(9, null, 20,
true)",
+ "INSERT INTO root.db1.d2(timestamp,s1,s2,s3) values(10, 1, 0, null)",
+ "INSERT INTO root.db1.d2(timestamp,s1,s2,s3) values(1677570939, 1, 0,
true)",
+ "flush"
+ };
+
+ @BeforeClass
+ public static void setUp() throws Exception {
+
EnvFactory.getEnv().getConfig().getCommonConfig().setPartitionInterval(1000);
+ EnvFactory.getEnv().initClusterEnvironment();
+ prepareData(SQLs);
+ }
+
+ @AfterClass
+ public static void tearDown() throws Exception {
+ EnvFactory.getEnv().cleanClusterEnvironment();
+ }
+
+ @Test
+ public void testTimeDurationSingleColumnOnOneDataRegion() {
+ // normal
+ String[] expectedHeader = new String[] {"time_duration(root.db.d1.s1)"};
+ String[] retArray = new String[] {"8,"};
+ resultSetEqualTest(
+ "select time_duration(s1) from root.db.d1 where time < 10",
expectedHeader, retArray);
+
+ // order by time desc
+ resultSetEqualTest(
+ "select time_duration(s1) from root.db.d1 where time < 10 order by
time desc",
+ expectedHeader,
+ retArray);
+
+ // order by time asc
+ resultSetEqualTest(
+ "select time_duration(s1) from root.db.d1 where time < 10 order by
time asc",
+ expectedHeader,
+ retArray);
+
+ // limit
+ resultSetEqualTest(
+ "select time_duration(s1) from root.db.d1 where time < 10 limit 3",
+ expectedHeader,
+ retArray);
+
+ // align by device
+ expectedHeader = new String[] {"Device", "time_duration(s1)"};
+ retArray = new String[] {"root.db.d1,8,"};
+ resultSetEqualTest(
+ "select time_duration(s1) from root.db.d1 where time < 10 align by
device",
+ expectedHeader,
+ retArray);
+
+ // align by time
+ expectedHeader = new String[] {"time_duration(root.db.d1.s1)"};
+ retArray = new String[] {"8,"};
+ resultSetEqualTest(
+ "select time_duration(s1) from root.db.d1 where time < 10 align by
time",
+ expectedHeader,
+ retArray);
+
+ // group by level=1(database)
+ expectedHeader = new String[] {"time_duration(root.*.d1.s1)",
"time_duration(root.*.d2.s1)"};
+ retArray = new String[] {"8,8,"};
+ resultSetEqualTest(
+ "select time_duration(s1) from root.** where time < 10 group by
level=2",
+ expectedHeader,
+ retArray);
+
+ // group by level=2(device)
+ expectedHeader = new String[] {"time_duration(root.*.d1.s1)",
"time_duration(root.*.d2.s1)"};
+ retArray = new String[] {"8,8,"};
+ resultSetEqualTest(
+ "select time_duration(s1) from root.** where time < 10 group by
level=2",
+ expectedHeader,
+ retArray);
+
+ // group by session
+ expectedHeader = new String[] {"Time", "time_duration(root.db1.d1.s1)"};
+ retArray = new String[] {"3,6,"};
+ // ignore = true
+ resultSetEqualTest(
+ "select time_duration(s1) from root.db1.d1 where time<10 group by
session(100ms)",
+ expectedHeader,
+ retArray);
+
+ // group by variation
+ expectedHeader = new String[] {"Time", "time_duration(root.db1.d2.s1)"};
+ retArray = new String[] {"1,0,", "3,null,", "4,0,", "6,0,", "7,0,",
"8,0,", "9,null,"};
+ resultSetEqualTest(
+ "select time_duration(s1) from root.db1.d2 where time<10 group by
variation(root.db.d1.s1)",
+ expectedHeader,
+ retArray);
+
+ // group by condition
+ expectedHeader = new String[] {"Time", "time_duration(root.db1.d2.s1)"};
+ retArray = new String[] {"1,9,"};
+ resultSetEqualTest(
+ "select time_duration(s1) from root.db1.d2 group by
condition(root.db.d2.s1 > 10,KEEP>=1,ignoreNull=true)",
+ expectedHeader,
+ retArray);
+
+ // group by tags
+ expectedHeader = new String[] {"city", "time_duration(s1)"};
+ retArray = new String[] {"Nanjing,1677570938,"};
+ resultSetEqualTest(
+ "select time_duration(s1) from root.db1.d2 group by tags(city)",
expectedHeader, retArray);
+
+ // group by time
+ expectedHeader = new String[] {"Time", "time_duration(root.db1.d2.s1)"};
+ retArray = new String[] {"1,3,", "6,2,"};
+ resultSetEqualTest(
+ "select time_duration(s1) from root.db1.d2 group by time([1,10),5ms)",
+ expectedHeader,
+ retArray);
+ }
+
+ @Test
+ public void testTimeDurationManyColumnOnManyDataRegion() {
+ // normal
+ String[] expectedHeader =
+ new String[] {
+
"time_duration(root.db1.d1.s1),time_duration(root.db1.d2.s1),time_duration(root.db.d1.s1),time_duration(root.db.d2.s1),time_duration(root.db1.d1.s2),time_duration(root.db1.d2.s2),time_duration(root.db.d1.s2),time_duration(root.db.d2.s2)"
+ };
+ String[] retArray =
+ new String[] {
+
"1677570931,1677570938,1677570933,1677570933,1677570932,1677570938,1677570933,1677570933,"
+ };
+ resultSetEqualTest(
+ "select time_duration(s1),time_duration(s2) from root.**",
expectedHeader, retArray);
+
+ // order by time desc
+ resultSetEqualTest(
+ "select time_duration(s1),time_duration(s2) from root.** order by time
desc",
+ expectedHeader,
+ retArray);
+
+ // order by time asc
+ resultSetEqualTest(
+ "select time_duration(s1),time_duration(s2) from root.** order by time
asc",
+ expectedHeader,
+ retArray);
+
+ // limit
+ resultSetEqualTest(
+ "select time_duration(s1),time_duration(s2) from root.** limit 3",
+ expectedHeader,
+ retArray);
+
+ // align by device
+ expectedHeader = new String[] {"Device", "time_duration(s1)",
"time_duration(s2)"};
+ retArray =
+ new String[] {
+ "root.db.d1,1677570933,1677570933,",
+ "root.db.d2,1677570933,1677570933,",
+ "root.db1.d1,1677570931,1677570932,",
+ "root.db1.d2,1677570938,1677570938,"
+ };
+ resultSetEqualTest(
+ "select time_duration(s1),time_duration(s2) from root.** align by
device",
+ expectedHeader,
+ retArray);
+
+ // align by time
+ expectedHeader =
+ new String[] {
+
"time_duration(root.db1.d1.s1),time_duration(root.db1.d2.s1),time_duration(root.db.d1.s1),time_duration(root.db.d2.s1),time_duration(root.db1.d1.s2),time_duration(root.db1.d2.s2),time_duration(root.db.d1.s2),time_duration(root.db.d2.s2)"
+ };
+ retArray =
+ new String[] {
+
"1677570931,1677570938,1677570933,1677570933,1677570932,1677570938,1677570933,1677570933,"
+ };
+ resultSetEqualTest(
+ "select time_duration(s1),time_duration(s2) from root.** align by
time",
+ expectedHeader,
+ retArray);
+
+ // group by level=1(database)
+ expectedHeader =
+ new String[] {
+
"time_duration(root.*.d1.s1),time_duration(root.*.d2.s1),time_duration(root.*.d1.s2),time_duration(root.*.d2.s2)"
+ };
+ retArray = new String[] {"1677570933,1677570938,1677570933,1677570938,"};
+ resultSetEqualTest(
+ "select time_duration(s1),time_duration(s2) from root.** group by
level=2",
Review Comment:
level=1
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