This is an automated email from the ASF dual-hosted git repository.
dataroaring pushed a commit to branch branch-3.0
in repository https://gitbox.apache.org/repos/asf/doris.git
The following commit(s) were added to refs/heads/branch-3.0 by this push:
new 6344bda53b0 branch-3.0: [improve](routine load) introduce routine load
abnormal job monitor metrics #48171 (#49045)
6344bda53b0 is described below
commit 6344bda53b0a0758a43503115bc1222375dece05
Author: github-actions[bot]
<41898282+github-actions[bot]@users.noreply.github.com>
AuthorDate: Fri Mar 14 09:54:38 2025 +0800
branch-3.0: [improve](routine load) introduce routine load abnormal job
monitor metrics #48171 (#49045)
Cherry-picked from #48171
Co-authored-by: hui lai <lai...@selectdb.com>
---
.../doris/load/routineload/KafkaProgress.java | 3 +
.../load/routineload/KafkaRoutineLoadJob.java | 14 ++
.../doris/load/routineload/RoutineLoadJob.java | 16 ++
.../doris/load/routineload/RoutineLoadManager.java | 6 +
.../java/org/apache/doris/metric/MetricRepo.java | 110 ++++++++--
.../data/test_abnormal_job_monitor.csv | 20 ++
.../test_routin_load_abnormal_job_monitor.groovy | 225 +++++++++++++++++++++
7 files changed, 373 insertions(+), 21 deletions(-)
diff --git
a/fe/fe-core/src/main/java/org/apache/doris/load/routineload/KafkaProgress.java
b/fe/fe-core/src/main/java/org/apache/doris/load/routineload/KafkaProgress.java
index 0619188ea98..60715e45fbb 100644
---
a/fe/fe-core/src/main/java/org/apache/doris/load/routineload/KafkaProgress.java
+++
b/fe/fe-core/src/main/java/org/apache/doris/load/routineload/KafkaProgress.java
@@ -246,4 +246,7 @@ public class KafkaProgress extends RoutineLoadProgress {
}
}
+ public Long totalProgress() {
+ return partitionIdToOffset.values().stream().reduce(0L, Long::sum);
+ }
}
diff --git
a/fe/fe-core/src/main/java/org/apache/doris/load/routineload/KafkaRoutineLoadJob.java
b/fe/fe-core/src/main/java/org/apache/doris/load/routineload/KafkaRoutineLoadJob.java
index 6952a32b8b3..4904b59b5b6 100644
---
a/fe/fe-core/src/main/java/org/apache/doris/load/routineload/KafkaRoutineLoadJob.java
+++
b/fe/fe-core/src/main/java/org/apache/doris/load/routineload/KafkaRoutineLoadJob.java
@@ -925,4 +925,18 @@ public class KafkaRoutineLoadJob extends RoutineLoadJob {
public double getMaxFilterRatio() {
return maxFilterRatio;
}
+
+ @Override
+ public Long totalProgress() {
+ return ((KafkaProgress) progress).totalProgress();
+ }
+
+ @Override
+ public Long totalLag() {
+ Map<Integer, Long> partitionIdToOffsetLag = ((KafkaProgress)
progress).getLag(cachedPartitionWithLatestOffsets);
+ return partitionIdToOffsetLag.values().stream()
+ .filter(lag -> lag >= 0)
+ .mapToLong(v -> v)
+ .sum();
+ }
}
diff --git
a/fe/fe-core/src/main/java/org/apache/doris/load/routineload/RoutineLoadJob.java
b/fe/fe-core/src/main/java/org/apache/doris/load/routineload/RoutineLoadJob.java
index 67bebee04f0..688174a1afb 100644
---
a/fe/fe-core/src/main/java/org/apache/doris/load/routineload/RoutineLoadJob.java
+++
b/fe/fe-core/src/main/java/org/apache/doris/load/routineload/RoutineLoadJob.java
@@ -511,6 +511,14 @@ public abstract class RoutineLoadJob
}
}
+ public ErrorReason getPauseReason() {
+ return pauseReason;
+ }
+
+ public RoutineLoadStatistic getRoutineLoadStatistic() {
+ return jobStatistic;
+ }
+
public String getDbFullName() throws MetaNotFoundException {
return
Env.getCurrentInternalCatalog().getDbOrMetaException(dbId).getFullName();
}
@@ -965,6 +973,14 @@ public abstract class RoutineLoadJob
}
}
+ public Long totalProgress() {
+ return 0L;
+ }
+
+ public Long totalLag() {
+ return 0L;
+ }
+
abstract RoutineLoadTaskInfo unprotectRenewTask(RoutineLoadTaskInfo
routineLoadTaskInfo);
// call before first scheduling
diff --git
a/fe/fe-core/src/main/java/org/apache/doris/load/routineload/RoutineLoadManager.java
b/fe/fe-core/src/main/java/org/apache/doris/load/routineload/RoutineLoadManager.java
index 97f6aba8c58..a984a672d34 100644
---
a/fe/fe-core/src/main/java/org/apache/doris/load/routineload/RoutineLoadManager.java
+++
b/fe/fe-core/src/main/java/org/apache/doris/load/routineload/RoutineLoadManager.java
@@ -110,6 +110,12 @@ public class RoutineLoadManager implements Writable {
public RoutineLoadManager() {
}
+ public List<RoutineLoadJob> getActiveRoutineLoadJobs() {
+ return idToRoutineLoadJob.values().stream()
+ .filter(job -> !job.state.isFinalState())
+ .collect(Collectors.toList());
+ }
+
public void addMultiLoadTaskTxnIdToRoutineLoadJobId(long txnId, long
routineLoadJobId) {
multiLoadTaskTxnIdToRoutineLoadJobId.put(txnId, routineLoadJobId);
}
diff --git a/fe/fe-core/src/main/java/org/apache/doris/metric/MetricRepo.java
b/fe/fe-core/src/main/java/org/apache/doris/metric/MetricRepo.java
index 40930edd052..a0515cc87d2 100644
--- a/fe/fe-core/src/main/java/org/apache/doris/metric/MetricRepo.java
+++ b/fe/fe-core/src/main/java/org/apache/doris/metric/MetricRepo.java
@@ -23,6 +23,7 @@ import org.apache.doris.catalog.Database;
import org.apache.doris.catalog.Env;
import org.apache.doris.cloud.system.CloudSystemInfoService;
import org.apache.doris.common.Config;
+import org.apache.doris.common.InternalErrorCode;
import org.apache.doris.common.Pair;
import org.apache.doris.common.ThreadPoolManager;
import org.apache.doris.common.Version;
@@ -46,17 +47,17 @@ import com.codahale.metrics.Histogram;
import com.codahale.metrics.MetricRegistry;
import com.google.common.base.Strings;
import com.google.common.collect.Maps;
-import com.google.common.collect.Sets;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import java.util.ArrayList;
+import java.util.Collections;
import java.util.List;
import java.util.Map;
-import java.util.Set;
import java.util.SortedMap;
import java.util.concurrent.ScheduledThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
+import java.util.function.Predicate;
import java.util.function.Supplier;
public final class MetricRepo {
@@ -137,11 +138,16 @@ public final class MetricRepo {
public static LongCounterMetric COUNTER_ROUTINE_LOAD_ROWS;
public static LongCounterMetric COUNTER_ROUTINE_LOAD_RECEIVED_BYTES;
public static LongCounterMetric COUNTER_ROUTINE_LOAD_ERROR_ROWS;
+
+ public static GaugeMetric<Long> GAUGE_ROUTINE_LOAD_PROGRESS;
+ public static GaugeMetric<Long> GAUGE_ROUTINE_LOAD_LAG;
+ public static GaugeMetric<Long> GAUGE_ROUTINE_LOAD_ABORT_TASK_NUM;
public static LongCounterMetric COUNTER_ROUTINE_LOAD_GET_META_LANTENCY;
public static LongCounterMetric COUNTER_ROUTINE_LOAD_GET_META_COUNT;
public static LongCounterMetric COUNTER_ROUTINE_LOAD_GET_META_FAIL_COUNT;
public static LongCounterMetric COUNTER_ROUTINE_LOAD_TASK_EXECUTE_TIME;
public static LongCounterMetric COUNTER_ROUTINE_LOAD_TASK_EXECUTE_COUNT;
+
public static LongCounterMetric COUNTER_HIT_SQL_BLOCK_RULE;
public static AutoMappedMetric<LongCounterMetric> THRIFT_COUNTER_RPC_ALL;
@@ -212,25 +218,7 @@ public final class MetricRepo {
}
}
- // routine load jobs
- RoutineLoadManager routineLoadManager =
Env.getCurrentEnv().getRoutineLoadManager();
- for (RoutineLoadJob.JobState jobState :
RoutineLoadJob.JobState.values()) {
- GaugeMetric<Long> gauge = new GaugeMetric<Long>("job",
MetricUnit.NOUNIT, "routine load job statistics") {
- @Override
- public Long getValue() {
- if (!Env.getCurrentEnv().isMaster()) {
- return 0L;
- }
- Set<RoutineLoadJob.JobState> states = Sets.newHashSet();
- states.add(jobState);
- List<RoutineLoadJob> jobs =
routineLoadManager.getRoutineLoadJobByState(states);
- return Long.valueOf(jobs.size());
- }
- };
- gauge.addLabel(new MetricLabel("job", "load")).addLabel(new
MetricLabel("type", "ROUTINE_LOAD"))
- .addLabel(new MetricLabel("state", jobState.name()));
- DORIS_METRIC_REGISTER.addMetrics(gauge);
- }
+ initRoutineLoadJobMetrics();
// running alter job
Alter alter = Env.getCurrentEnv().getAlterInstance();
@@ -626,6 +614,86 @@ public final class MetricRepo {
}
}
+ private static void initRoutineLoadJobMetrics() {
+ // routine load jobs
+ RoutineLoadManager routineLoadManager =
Env.getCurrentEnv().getRoutineLoadManager();
+ for (RoutineLoadJob.JobState jobState :
RoutineLoadJob.JobState.values()) {
+ if (jobState == RoutineLoadJob.JobState.PAUSED) {
+ addRoutineLoadJobStateGaugeMetric(routineLoadManager,
jobState, "USER_PAUSED",
+ job -> job.getPauseReason() != null
+ && job.getPauseReason().getCode() ==
InternalErrorCode.MANUAL_PAUSE_ERR);
+ addRoutineLoadJobStateGaugeMetric(routineLoadManager,
jobState, "ABNORMAL_PAUSED",
+ job -> job.getPauseReason() != null
+ && job.getPauseReason().getCode() !=
InternalErrorCode.MANUAL_PAUSE_ERR);
+ }
+ addRoutineLoadJobStateGaugeMetric(routineLoadManager, jobState,
jobState.name(), job -> true);
+ }
+ GAUGE_ROUTINE_LOAD_PROGRESS = new
GaugeMetric<Long>("routine_load_progress",
+ MetricUnit.NOUNIT, "total routine load progress") {
+ @Override
+ public Long getValue() {
+ if (!Env.getCurrentEnv().isMaster()) {
+ return 0L;
+ }
+ return routineLoadManager
+ .getActiveRoutineLoadJobs().stream()
+ .mapToLong(RoutineLoadJob::totalProgress)
+ .sum();
+ }
+ };
+ DORIS_METRIC_REGISTER.addMetrics(GAUGE_ROUTINE_LOAD_PROGRESS);
+ GAUGE_ROUTINE_LOAD_LAG = new GaugeMetric<Long>("routine_load_lag",
+ MetricUnit.NOUNIT, "total routine load lag") {
+ @Override
+ public Long getValue() {
+ if (!Env.getCurrentEnv().isMaster()) {
+ return 0L;
+ }
+ return routineLoadManager
+ .getActiveRoutineLoadJobs().stream()
+ .mapToLong(RoutineLoadJob::totalLag)
+ .sum();
+ }
+ };
+ DORIS_METRIC_REGISTER.addMetrics(GAUGE_ROUTINE_LOAD_LAG);
+ GAUGE_ROUTINE_LOAD_ABORT_TASK_NUM = new
GaugeMetric<Long>("routine_load_abort_task_num",
+ MetricUnit.NOUNIT, "total number of aborted tasks in active
routine load jobs") {
+ @Override
+ public Long getValue() {
+ if (!Env.getCurrentEnv().isMaster()) {
+ return 0L;
+ }
+ return routineLoadManager
+ .getActiveRoutineLoadJobs().stream()
+ .mapToLong(job ->
job.getRoutineLoadStatistic().abortedTaskNum)
+ .sum();
+ }
+ };
+ DORIS_METRIC_REGISTER.addMetrics(GAUGE_ROUTINE_LOAD_ABORT_TASK_NUM);
+ }
+
+ private static void addRoutineLoadJobStateGaugeMetric(RoutineLoadManager
routineLoadManager,
+ RoutineLoadJob.JobState jobState,
+ String stateLabel,
Predicate<RoutineLoadJob> filter) {
+ GaugeMetric<Long> gauge = new GaugeMetric<Long>("job",
MetricUnit.NOUNIT, "routine load job statistics") {
+ @Override
+ public Long getValue() {
+ if (!Env.getCurrentEnv().isMaster()) {
+ return 0L;
+ }
+ return routineLoadManager
+
.getRoutineLoadJobByState(Collections.singleton(jobState))
+ .stream()
+ .filter(filter)
+ .count();
+ }
+ };
+ gauge.addLabel(new MetricLabel("job", "load"))
+ .addLabel(new MetricLabel("type", "ROUTINE_LOAD"))
+ .addLabel(new MetricLabel("state", stateLabel));
+ DORIS_METRIC_REGISTER.addMetrics(gauge);
+ }
+
private static void initSystemMetrics() {
// TCP retransSegs
GaugeMetric<Long> tcpRetransSegs = (GaugeMetric<Long>) new
GaugeMetric<Long>(
diff --git
a/regression-test/suites/load_p0/routine_load/data/test_abnormal_job_monitor.csv
b/regression-test/suites/load_p0/routine_load/data/test_abnormal_job_monitor.csv
new file mode 100644
index 00000000000..b58285ed575
--- /dev/null
+++
b/regression-test/suites/load_p0/routine_load/data/test_abnormal_job_monitor.csv
@@ -0,0 +1,20 @@
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18:39:10|2023-02-12|2023-01-27
07:26:06|y||Xi9nDVrLv8m6AwEpUxmtzFAuK48sQ|{"name": "John", "age": 25, "city":
"New York"}
+49|2023-08-08|FALSE|\N|16275|-2144851675|-2303421957908954634|-46526938720058765|-13141.142578|-686632233.230200|229942298.0|-152553823.0|2022-09-01
00:16:01|2023-03-25|2022-09-07 14:59:03|s||yvuILR2iNxfe8RRml|{"student": true,
"name": "Alice", "grade": 9, "subjects": ["math", "science", "history"]}
+66|2023-08-15|TRUE|-91|28378|609923317|4872185586197131212|1207709464099378591|\N|-1863683325.985123|-783792012.0|-708986976.0|2022-09-24
10:39:23|2022-09-24|2022-10-16
18:36:43|Y|z|AI1BSPQdKiHJiQH1kguyLSWsDXkC7zwy7PwgWnyGSaa9tBKRex8vHBdxg2QSKZKL2mV2lHz7iI1PnsTd4MXDcIKhqiHyPuQPt2tEtgt0UgF6|{"book":
{"title": "The Great Gatsby", "author": "F. Scott Fitzgerald"}, "year": 1925}
+91|2023-08-27|TRUE|90|2465|702240964|6373830997821598984|305860046137409400|15991.356445|1599972327.386147|-165530947.0|\N|2023-04-26
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"apple", "color": "red", "qty": 5, "price": 2.5}
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07:40:00|2022-11-29|2023-01-14
07:24:07|\N|D|3Nhx6xX1qdwaq7lxwLRSKMtJFbC03swWv12mpySSVysH3igGZTiGPuKMsYW7HAkf6CWc7c0nzqDsjuH3FYVMNCWRmfxMrmY8rykQCC4Ve|{"car":
"BMW", "model": "X5", "year": 2020, "color": "black"}
+85|2023-08-11|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}
+31|2023-08-27|FALSE|17|-18849|1728109133|3266501886640700374|527195452623418935|-24062.328125|-1514348021.262435|-322205854.0|-278237157.0|2022-10-07
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"Manchester United", "players": ["Ronaldo", "Rooney", "Giggs"], "coach": "Ole
Gunnar Solskjaer"}
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21:40:55|2023-02-23|2023-08-13
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"Sarah", "age": 30, "city": "London", "isMarried": false}
+90|2023-08-27|TRUE|22|16456|-1476824962|-3279894870153540825|8990195191470116763|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}]}
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22:01:27|2023-05-19|2022-11-13
13:44:28|V||aGeMsI24O12chGlP5ak0AHghAz7bu5MargJBStHnt0yMnChH0JnfYhsfH1u59XIHkJKMsHYktBqORkGlovu8V47E74KeFpaqxn5yLyXfDbhhzUKf|{"language":
"Python", "version": 3.9, "frameworks": ["Django", "Flask"]}
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02:03:21|2023-05-14|2023-03-25
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"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":
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+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":
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+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
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"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":
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+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}
\ No newline at end of file
diff --git
a/regression-test/suites/load_p0/routine_load/test_routin_load_abnormal_job_monitor.groovy
b/regression-test/suites/load_p0/routine_load/test_routin_load_abnormal_job_monitor.groovy
new file mode 100644
index 00000000000..5b5f124408d
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b/regression-test/suites/load_p0/routine_load/test_routin_load_abnormal_job_monitor.groovy
@@ -0,0 +1,225 @@
+// 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.apache.kafka.clients.admin.AdminClient
+import org.apache.kafka.clients.producer.KafkaProducer
+import org.apache.kafka.clients.producer.ProducerRecord
+import org.apache.kafka.clients.producer.ProducerConfig
+
+import groovy.json.JsonSlurper
+
+suite("test_routine_load_abnormal_job_monitor","p0") {
+ def kafkaCsvTpoics = [
+ "test_abnormal_job_monitor",
+ ]
+
+ String enabled = context.config.otherConfigs.get("enableKafkaTest")
+ String kafka_port = context.config.otherConfigs.get("kafka_port")
+ String externalEnvIp = context.config.otherConfigs.get("externalEnvIp")
+ def kafka_broker = "${externalEnvIp}:${kafka_port}"
+
+ if (enabled != null && enabled.equalsIgnoreCase("true")) {
+ // define kafka
+ def props = new Properties()
+ props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG,
"${kafka_broker}".toString())
+ props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG,
"org.apache.kafka.common.serialization.StringSerializer")
+ props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG,
"org.apache.kafka.common.serialization.StringSerializer")
+ // Create kafka producer
+ def producer = new KafkaProducer<>(props)
+
+ for (String kafkaCsvTopic in kafkaCsvTpoics) {
+ def txt = new
File("""${context.file.parent}/data/${kafkaCsvTopic}.csv""").text
+ def lines = txt.readLines()
+ lines.each { line ->
+ logger.info("=====${line}========")
+ def record = new ProducerRecord<>(kafkaCsvTopic, null, line)
+ producer.send(record)
+ }
+ }
+ }
+
+ def jobName1 = "test_abnormal_job_monitor1"
+ def jobName2 = "test_abnormal_job_monitor2"
+ def tableName = "test_abnormal_job_monitor"
+ if (enabled != null && enabled.equalsIgnoreCase("true")) {
+ try {
+ sql """
+ CREATE TABLE IF NOT EXISTS ${tableName}
+ (
+ 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(255) 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"
+ );
+ """
+ sql """
+ CREATE ROUTINE LOAD ${jobName1} on ${tableName}
+
COLUMNS(k00,k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17,k18),
+ COLUMNS TERMINATED BY "|"
+ PROPERTIES
+ (
+ "max_batch_interval" = "5",
+ "max_batch_rows" = "300000",
+ "max_batch_size" = "209715200"
+ )
+ FROM KAFKA
+ (
+ "kafka_broker_list" = "${externalEnvIp}:${kafka_port}",
+ "kafka_topic" = "test_abnormal_job_monitor_invaild",
+ "property.kafka_default_offsets" = "OFFSET_BEGINNING"
+ );
+ """
+ sql """
+ CREATE ROUTINE LOAD ${jobName2} on ${tableName}
+
COLUMNS(k00,k01,k02,k03,k04,k05,k06,k07,k08,k09,k10,k11,k12,k13,k14,k15,k16,k17,k18),
+ COLUMNS TERMINATED BY "|"
+ PROPERTIES
+ (
+ "max_batch_interval" = "5",
+ "max_batch_rows" = "300000",
+ "max_batch_size" = "209715200"
+ )
+ FROM KAFKA
+ (
+ "kafka_broker_list" = "${externalEnvIp}:${kafka_port}",
+ "kafka_topic" = "test_abnormal_job_monitor",
+ "property.kafka_default_offsets" = "OFFSET_BEGINNING"
+ );
+ """
+ sql "sync"
+
+ sql "pause routine load for ${jobName2}"
+
+ def count = 0
+ def metricCount = 0
+ while (true) {
+ count = 0
+ metricCount = 0
+ httpTest {
+ endpoint context.config.feHttpAddress
+ uri "/metrics?type=json"
+ op "get"
+ check { code, body ->
+ def jsonSlurper = new JsonSlurper()
+ def result = jsonSlurper.parseText(body)
+
+ def entry = result.find { it.tags?.metric ==
"doris_fe_job" && it.tags?.state == "ABNORMAL_PAUSED"}
+ def value = entry ? entry.value : null
+ log.info("Contains ABNORMAL_PAUSE: ${entry !=
null}".toString())
+ log.info("Value of ABNORMAL_PAUSE:
${value}".toString())
+ if (value > 0) {
+ metricCount++
+ }
+
+ entry = result.find { it.tags?.metric ==
"doris_fe_job" && it.tags?.state == "USER_PAUSED"}
+ value = entry ? entry.value : null
+ log.info("Contains USER_PAUSE: ${entry !=
null}".toString())
+ log.info("Value of USER_PAUSE: ${value}".toString())
+ if (value > 0) {
+ metricCount++
+ }
+
+ if (body.contains("doris_fe_routine_load_progress")){
+ log.info("contain doris_fe_routine_load_progress")
+ metricCount++
+ }
+
+ if (body.contains("doris_fe_routine_load_lag")){
+ log.info("contain doris_fe_routine_load_lag")
+ metricCount++
+ }
+
+ if
(body.contains("doris_fe_routine_load_abort_task_num")){
+ log.info("contain
doris_fe_routine_load_abort_task_num")
+ metricCount++
+ }
+ }
+ }
+ if (metricCount == 5) {
+ break
+ }
+ count++
+ sleep(1000)
+ if (count > 60) {
+ assertEquals(1, 2)
+ }
+ }
+ } finally {
+ sql "stop routine load for ${jobName1}"
+ sql "stop routine load for ${jobName2}"
+ sql "DROP TABLE IF EXISTS ${tableName}"
+ }
+ }
+}
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