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package org.apache.hudi.client.utils;
import org.apache.hudi.client.common.HoodieSparkEngineContext;
import org.apache.hudi.common.data.HoodieData;
import org.apache.hudi.common.engine.HoodieEngineContext;
import org.apache.hudi.config.HoodieWriteConfig;
import org.apache.hudi.metadata.HoodieTableMetadata;
import org.apache.spark.api.java.JavaRDD;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
public class SparkReleaseResources {
/**
* Called after each write commit, compaction commit and clustering commit
* to unpersist all RDDs persisted or cached per table.
* @param context the relevant {@link HoodieEngineContext}
* @param config writer configs {@link HoodieWriteConfig}
* @param basePath table base path
* @param instantTime instant time for which the RDDs need to be unpersisted.
*/
public static void releaseCachedData(HoodieEngineContext context,
HoodieWriteConfig config,
String basePath,
String instantTime) {
// If we do not explicitly release the resource, spark will automatically manage the resource and clean it up automatically
// see: https://spark.apache.org/docs/latest/rdd-programming-guide.html#removing-data
if (config.areReleaseResourceEnabled()) {
HoodieSparkEngineContext sparkEngineContext = (HoodieSparkEngineContext) context;
Map> allCachedRdds = sparkEngineContext.getJavaSparkContext().getPersistentRDDs();
List allDataIds = new ArrayList<>(sparkEngineContext.removeCachedDataIds(HoodieData.HoodieDataCacheKey.of(basePath, instantTime)));
if (config.isMetadataTableEnabled()) {
String metadataTableBasePath = HoodieTableMetadata.getMetadataTableBasePath(basePath);
allDataIds.addAll(sparkEngineContext.removeCachedDataIds(HoodieData.HoodieDataCacheKey.of(metadataTableBasePath, instantTime)));
}
for (int id : allDataIds) {
if (allCachedRdds.containsKey(id)) {
allCachedRdds.get(id).unpersist();
}
}
}
}
}
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