Examples with SetSparkReducerParallelism org.apache.hadoop.hive.ql.optimizer.spark.SetSparkReducerParallelism used on opensource projects

Example 1 with SetSparkReducerParallelism

use of org.apache.hadoop.hive.ql.optimizer.spark.SetSparkReducerParallelism in project hive by apache.

the class SparkCompiler method runSetReducerParallelism.

private void runSetReducerParallelism(OptimizeSparkProcContext procCtx) throws SemanticException {
    ParseContext pCtx = procCtx.getParseContext();
    Map<SemanticRule, SemanticNodeProcessor> opRules = new LinkedHashMap<SemanticRule, SemanticNodeProcessor>();
    opRules.put(new RuleRegExp("Set parallelism - ReduceSink", ReduceSinkOperator.getOperatorName() + "%"), new SetSparkReducerParallelism(pCtx.getConf()));
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    SemanticDispatcher disp = new DefaultRuleDispatcher(null, opRules, procCtx);
    SemanticGraphWalker ogw = new PreOrderWalker(disp);
    // Create a list of topop nodes
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pCtx.getTopOps().values());
    ogw.startWalking(topNodes, null);
}