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

Example 26 with Rule

use of org.apache.hadoop.hive.ql.lib.Rule in project SQLWindowing by hbutani.

the class WindowingTypeCheckProcFactory method genExprNode.

public static HashMap<Node, Object> genExprNode(ASTNode expr, TypeCheckCtx tcCtx) throws SemanticException {
    // Create the walker, the rules dispatcher and the context.
    // 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<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
    opRules.put(new RuleRegExp("R1", Windowing2Parser.NULL + "%"), getNullExprProcessor());
    opRules.put(new RuleRegExp("R2", Windowing2Parser.Number + "%|" + Windowing2Parser.TinyintLiteral + "%|" + Windowing2Parser.SmallintLiteral + "%|" + Windowing2Parser.BigintLiteral + "%"), getNumExprProcessor());
    opRules.put(new RuleRegExp("R3", Windowing2Parser.Identifier + "%|" + Windowing2Parser.StringLiteral + "%|" + Windowing2Parser.CHARSETLITERAL + "%|" + Windowing2Parser.STRINGLITERALSEQUENCE + "%|" + "%|" + Windowing2Parser.IF + "%|" + Windowing2Parser.CASE + "%|" + Windowing2Parser.WHEN + "%|" + Windowing2Parser.IN + "%|" + Windowing2Parser.ARRAY + "%|" + Windowing2Parser.MAP + "%|" + Windowing2Parser.BETWEEN + "%|" + Windowing2Parser.STRUCT + "%"), getStrExprProcessor());
    opRules.put(new RuleRegExp("R4", Windowing2Parser.TRUE + "%|" + Windowing2Parser.FALSE + "%"), getBoolExprProcessor());
    opRules.put(new RuleRegExp("R5", Windowing2Parser.TABLEORCOL + "%"), getColumnExprProcessor());
    // The dispatcher fires the processor corresponding to the closest
    // matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(getDefaultExprProcessor(), opRules, tcCtx);
    GraphWalker ogw = new DefaultGraphWalker(disp);
    // Create a list of topop nodes
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.add(expr);
    HashMap<Node, Object> nodeOutputs = new HashMap<Node, Object>();
    ogw.startWalking(topNodes, nodeOutputs);
    return nodeOutputs;
}

Example 27 with Rule

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

the class PrunerUtils method walkExprTree.

/**
   * Walk expression tree for pruner generation.
   *
   * @param pred
   * @param ctx
   * @param colProc
   * @param fieldProc
   * @param genFuncProc
   * @param defProc
   * @return
   * @throws SemanticException
   */
public static Map<Node, Object> walkExprTree(ExprNodeDesc pred, NodeProcessorCtx ctx, NodeProcessor colProc, NodeProcessor fieldProc, NodeProcessor genFuncProc, NodeProcessor defProc) 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<Rule, NodeProcessor> exprRules = new LinkedHashMap<Rule, NodeProcessor>();
    exprRules.put(new TypeRule(ExprNodeColumnDesc.class), colProc);
    exprRules.put(new TypeRule(ExprNodeFieldDesc.class), fieldProc);
    exprRules.put(new TypeRule(ExprNodeGenericFuncDesc.class), genFuncProc);
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(defProc, exprRules, ctx);
    GraphWalker egw = new DefaultGraphWalker(disp);
    List<Node> startNodes = new ArrayList<Node>();
    startNodes.add(pred);
    HashMap<Node, Object> outputMap = new HashMap<Node, Object>();
    egw.startWalking(startNodes, outputMap);
    return outputMap;
}

Example 28 with Rule

use of org.apache.hadoop.hive.ql.lib.Rule 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<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
        opRules.put(new RuleRegExp("R1", TableScanOperator.getOperatorName() + "%" + FilterOperator.getOperatorName() + "%"), new FilterTransformer());
        Dispatcher disp = new DefaultRuleDispatcher(null, opRules, null);
        GraphWalker ogw = new DefaultGraphWalker(disp);
        List<Node> topNodes = new ArrayList<Node>();
        topNodes.addAll(pctx.getTopOps().values());
        ogw.startWalking(topNodes, null);
    }
    return pctx;
}

Example 29 with Rule

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

the class SimpleFetchAggregation method transform.

@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
    if (pctx.getFetchTask() != null || !pctx.getQueryProperties().isQuery() || pctx.getQueryProperties().isAnalyzeRewrite() || pctx.getQueryProperties().isCTAS() || pctx.getLoadFileWork().size() > 1 || !pctx.getLoadTableWork().isEmpty()) {
        return pctx;
    }
    String GBY = GroupByOperator.getOperatorName() + "%";
    String RS = ReduceSinkOperator.getOperatorName() + "%";
    String SEL = SelectOperator.getOperatorName() + "%";
    String FS = FileSinkOperator.getOperatorName() + "%";
    Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
    opRules.put(new RuleRegExp("R1", GBY + RS + GBY + SEL + FS), new SingleGBYProcessor(pctx));
    opRules.put(new RuleRegExp("R2", GBY + RS + GBY + FS), new SingleGBYProcessor(pctx));
    Dispatcher disp = new DefaultRuleDispatcher(null, opRules, null);
    GraphWalker ogw = new DefaultGraphWalker(disp);
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pctx.getTopOps().values());
    ogw.startWalking(topNodes, null);
    return pctx;
}

Example 30 with Rule

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

the class GroupByOptimizer method transform.

@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
    Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
    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
    Dispatcher disp = new DefaultRuleDispatcher(getDefaultProc(), opRules, new GroupByOptimizerContext(conf));
    GraphWalker 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;
}