Examples with SemanticNodeProcessor org.apache.hadoop.hive.ql.lib.SemanticNodeProcessor used on opensource projects

Example 56 with SemanticNodeProcessor

use of org.apache.hadoop.hive.ql.lib.SemanticNodeProcessor in project hive by apache.

the class PartitionColumnsSeparator method transform.

@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
    // 1. Trigger transformation
    Map<SemanticRule, SemanticNodeProcessor> opRules = new LinkedHashMap<SemanticRule, SemanticNodeProcessor>();
    opRules.put(new RuleRegExp("R1", FilterOperator.getOperatorName() + "%"), new StructInTransformer());
    SemanticDispatcher disp = new DefaultRuleDispatcher(null, opRules, null);
    SemanticGraphWalker ogw = new ForwardWalker(disp);
    List<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pctx.getTopOps().values());
    ogw.startWalking(topNodes, null);
    return pctx;
}

Example 57 with SemanticNodeProcessor

use of org.apache.hadoop.hive.ql.lib.SemanticNodeProcessor in project hive by apache.

the class RedundantDynamicPruningConditionsRemoval method transform.

/**
 * Transform the query tree.
 *
 * @param pctx the current parse context
 */
@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
    // Make sure semijoin is not enabled. If it is, then do not remove the dynamic partition pruning predicates.
    if (!pctx.getConf().getBoolVar(HiveConf.ConfVars.TEZ_DYNAMIC_SEMIJOIN_REDUCTION)) {
        Map<SemanticRule, SemanticNodeProcessor> opRules = new LinkedHashMap<SemanticRule, SemanticNodeProcessor>();
        opRules.put(new RuleRegExp("R1", TableScanOperator.getOperatorName() + "%" + FilterOperator.getOperatorName() + "%"), new FilterTransformer());
        SemanticDispatcher disp = new DefaultRuleDispatcher(null, opRules, null);
        SemanticGraphWalker ogw = new DefaultGraphWalker(disp);
        List<Node> topNodes = new ArrayList<Node>();
        topNodes.addAll(pctx.getTopOps().values());
        ogw.startWalking(topNodes, null);
    }
    return pctx;
}

Example 58 with SemanticNodeProcessor

use of org.apache.hadoop.hive.ql.lib.SemanticNodeProcessor in project hive by apache.

the class GroupByOptimizer method transform.

@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
    Map<SemanticRule, SemanticNodeProcessor> opRules = new LinkedHashMap<SemanticRule, SemanticNodeProcessor>();
    HiveConf conf = pctx.getConf();
    if (!HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVEGROUPBYSKEW)) {
        // process group-by pattern
        opRules.put(new RuleRegExp("R1", GroupByOperator.getOperatorName() + "%" + ReduceSinkOperator.getOperatorName() + "%" + GroupByOperator.getOperatorName() + "%"), getMapSortedGroupbyProc(pctx));
    } else {
        // If hive.groupby.skewindata is set to true, the operator tree is as below
        opRules.put(new RuleRegExp("R2", GroupByOperator.getOperatorName() + "%" + ReduceSinkOperator.getOperatorName() + "%" + GroupByOperator.getOperatorName() + "%" + ReduceSinkOperator.getOperatorName() + "%" + GroupByOperator.getOperatorName() + "%"), getMapSortedGroupbySkewProc(pctx));
    }
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    SemanticDispatcher disp = new DefaultRuleDispatcher(getDefaultProc(), opRules, new GroupByOptimizerContext(conf));
    SemanticGraphWalker ogw = new DefaultGraphWalker(disp);
    // Create a list of topop nodes
    List<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pctx.getTopOps().values());
    ogw.startWalking(topNodes, null);
    return pctx;
}

Example 59 with SemanticNodeProcessor

use of org.apache.hadoop.hive.ql.lib.SemanticNodeProcessor in project hive by apache.

the class LimitPushdownOptimizer method transform.

@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
    Map<SemanticRule, SemanticNodeProcessor> opRules = new LinkedHashMap<SemanticRule, SemanticNodeProcessor>();
    opRules.put(new RuleRegExp("R1", ReduceSinkOperator.getOperatorName() + "%" + ".*" + LimitOperator.getOperatorName() + "%"), new TopNReducer());
    opRules.put(new RuleRegExp("R2", ReduceSinkOperator.getOperatorName() + "%" + ".*" + ReduceSinkOperator.getOperatorName() + "%"), new TopNPropagator());
    LimitPushdownContext context = new LimitPushdownContext(pctx.getConf());
    SemanticDispatcher disp = new DefaultRuleDispatcher(null, opRules, context);
    SemanticGraphWalker ogw = new DefaultGraphWalker(disp);
    List<Node> topNodes = new ArrayList<Node>(pctx.getTopOps().values());
    ogw.startWalking(topNodes, null);
    return pctx;
}

Example 60 with SemanticNodeProcessor

use of org.apache.hadoop.hive.ql.lib.SemanticNodeProcessor in project hive by apache.

the class SortedDynPartitionOptimizer method transform.

@Override
public ParseContext transform(ParseContext pCtx) throws SemanticException {
    // create a walker which walks the tree in a DFS manner while maintaining the
    // operator stack. The dispatcher generates the plan from the operator tree
    Map<SemanticRule, SemanticNodeProcessor> opRules = new LinkedHashMap<SemanticRule, SemanticNodeProcessor>();
    String FS = FileSinkOperator.getOperatorName() + "%";
    opRules.put(new RuleRegExp("Sorted Dynamic Partition", FS), getSortDynPartProc(pCtx));
    SemanticDispatcher disp = new DefaultRuleDispatcher(null, opRules, null);
    SemanticGraphWalker ogw = new DefaultGraphWalker(disp);
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pCtx.getTopOps().values());
    ogw.startWalking(topNodes, null);
    return pCtx;
}