org.apache.hadoop.hive.ql.optimizer.spark.SparkJoinOptimizer Maven / Gradle / Ivy
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package org.apache.hadoop.hive.ql.optimizer.spark;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.ql.lib.Node;
import org.apache.hadoop.hive.ql.lib.NodeProcessor;
import org.apache.hadoop.hive.ql.lib.NodeProcessorCtx;
import org.apache.hadoop.hive.ql.parse.ParseContext;
import org.apache.hadoop.hive.ql.parse.SemanticException;
import org.apache.hadoop.hive.ql.parse.spark.OptimizeSparkProcContext;
import java.util.Stack;
/**
* Converts a join to a more optimized join for the Spark path.
* Delegates to a more specialized join processor.
*/
public class SparkJoinOptimizer implements NodeProcessor {
private SparkSortMergeJoinOptimizer smbJoinOptimizer;
private SparkMapJoinOptimizer mapJoinOptimizer;
public SparkJoinOptimizer(ParseContext procCtx) {
smbJoinOptimizer = new SparkSortMergeJoinOptimizer(procCtx);
mapJoinOptimizer = new SparkMapJoinOptimizer();
}
@Override
public Object process(Node nd, Stack stack, NodeProcessorCtx procCtx, Object... nodeOutputs) throws SemanticException {
OptimizeSparkProcContext context = (OptimizeSparkProcContext) procCtx;
HiveConf conf = context.getConf();
if (conf.getBoolVar(HiveConf.ConfVars.HIVE_AUTO_SORTMERGE_JOIN_TOMAPJOIN)) {
Object mapJoinOp = mapJoinOptimizer.process(nd, stack, procCtx, nodeOutputs);
if (mapJoinOp == null) {
smbJoinOptimizer.process(nd, stack, procCtx, nodeOutputs);
}
} else {
Object sortMergeJoinOp = smbJoinOptimizer.process(nd, stack, procCtx, nodeOutputs);
if (sortMergeJoinOp == null) {
mapJoinOptimizer.process(nd, stack, procCtx, nodeOutputs);
}
}
return null;
}
}