zzcclp commented on a change in pull request #1538:
URL: https://github.com/apache/kylin/pull/1538#discussion_r555541622
##########
File path:
core-metrics/src/main/java/org/apache/kylin/metrics/QuerySparkMetrics.java
##########
@@ -0,0 +1,398 @@
+package org.apache.kylin.metrics;
+
+import org.apache.kylin.shaded.com.google.common.cache.CacheBuilder;
+import org.apache.kylin.shaded.com.google.common.cache.RemovalListener;
+import org.apache.kylin.shaded.com.google.common.cache.RemovalNotification;
+import org.apache.kylin.shaded.com.google.common.collect.Maps;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.io.Serializable;
+import java.util.Map;
+import java.util.concurrent.ConcurrentMap;
+import java.util.concurrent.TimeUnit;
+
+public class QuerySparkMetrics {
+ private static final Logger logger =
LoggerFactory.getLogger(QuerySparkMetrics.class);
+ private static final QuerySparkMetrics instance = new QuerySparkMetrics();
+ private org.apache.kylin.shaded.com.google.common.cache.Cache<String,
QueryExecutionMetrics> queryExecutionMetricsMap;
+
+ private QuerySparkMetrics() {
+ queryExecutionMetricsMap = CacheBuilder.newBuilder()
+ .maximumSize(1000)
+ .expireAfterWrite(600, TimeUnit.SECONDS)
+ .removalListener(new RemovalListener<String,
QueryExecutionMetrics>() {
+ @Override
+ public void onRemoval(RemovalNotification<String,
QueryExecutionMetrics> notification) {
+ logger.debug("Query metrics {} is removed due to {}",
+ notification.getKey(),
notification.getCause());
+ }
+ }).build();
+
+ }
+
+ public static QuerySparkMetrics getInstance() {
+ return instance;
+ }
+
+ public void onJobStart(String queryId, String sparderName, long
executionId,
+ long executionStartTime, int jobId, long
jobStartTime) {
+ QueryExecutionMetrics queryExecutionMetrics =
queryExecutionMetricsMap.asMap().get(queryId);
+ if (queryExecutionMetrics == null) {
+ queryExecutionMetrics = new QueryExecutionMetrics();
+ ConcurrentMap<Integer, SparkJobMetrics> sparkJobMetricsMap =
Maps.newConcurrentMap();
+ queryExecutionMetrics.setQueryId(queryId);
+ queryExecutionMetrics.setSparderName(sparderName);
+ queryExecutionMetrics.setExecutionId(executionId);
+ queryExecutionMetrics.setStartTime(executionStartTime);
+ queryExecutionMetrics.setSparkJobMetricsMap(sparkJobMetricsMap);
+ queryExecutionMetricsMap.put(queryId, queryExecutionMetrics);
+ }
+ SparkJobMetrics sparkJobMetrics = new SparkJobMetrics();
+ sparkJobMetrics.setExecutionId(executionId);
+ sparkJobMetrics.setJobId(jobId);
+ sparkJobMetrics.setStartTime(jobStartTime);
+
+ ConcurrentMap<Integer, SparkStageMetrics> sparkStageMetricsMap =
Maps.newConcurrentMap();
+ sparkJobMetrics.setSparkStageMetricsMap(sparkStageMetricsMap);
+
+ queryExecutionMetrics.getSparkJobMetricsMap().put(jobId,
sparkJobMetrics);
+
+ }
+
+ public void onSparkStageStart(String queryId, int jobId, int stageId,
String stageType, long startTime) {
+ SparkStageMetrics sparkStageMetrics = new SparkStageMetrics();
+ sparkStageMetrics.setStageId(stageId);
+ sparkStageMetrics.setStageType(stageType);
+ sparkStageMetrics.setStartTime(startTime);
+
queryExecutionMetricsMap.asMap().get(queryId).getSparkJobMetricsMap().get(jobId).getSparkStageMetricsMap().put(stageId,
sparkStageMetrics);
+
+ }
+
+ public void updateSparkStageMetrics(String queryId, int jobId, int
stageId, boolean isSuccess, long resultSize,
+ long executorDeserializeTime, long
executorDeserializeCpuTime, long executorRunTime,
+ long executorCpuTime, long jvmGCTime,
long resultSerializationTime, long memoryBytesSpilled,
+ long diskBytesSpilled, long
peakExecutionMemory) {
Review comment:
There are too many parameters, it's more than 12, consider to use a
class to indicate.
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