Examples of org.apache.hadoop.hive.ql.optimizer.Optimizer.optimize()

Package org.apache.hadoop.hive.ql.optimizer

Class org.apache.hadoop.hive.ql.optimizer.Optimizer

Examples of org.apache.hadoop.hive.ql.optimizer.Optimizer.optimize()

org.apache.hadoop.hive.ql.optimizer.Optimizer.optimize()
invoke all the transformations one-by-one, and alter the query plan @return ParseContext @throws SemanticException

        opToSamplePruner);


    Optimizer optm = new Optimizer();
    optm.setPctx(pCtx);
    optm.initialize(conf);
    pCtx = optm.optimize();
    init(pCtx);
    qb = pCtx.getQB();


    // At this point we have the complete operator tree
    // from which we want to find the reduce operator

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                                         topSelOps, opParseCtx, loadTableWork, loadFileWork, ctx, idToTableNameMap, destTableId, uCtx);
  
    Optimizer optm = new Optimizer();
    optm.setPctx(pCtx);
    optm.initialize();
    pCtx = optm.optimize();
    init(pCtx);
    qb = pCtx.getQB();
    
    // Do any partition pruning
    genPartitionPruners(qb);

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    }


    Optimizer optm = new Optimizer();
    optm.setPctx(pCtx);
    optm.initialize(conf);
    pCtx = optm.optimize();


    if (LOG.isDebugEnabled()) {
      LOG.debug("After logical optimization\n" + Operator.toString(pCtx.getTopOps().values()));
    }

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        opToSamplePruner, globalLimitCtx, nameToSplitSample, inputs, rootTasks);


    Optimizer optm = new Optimizer();
    optm.setPctx(pCtx);
    optm.initialize(conf);
    pCtx = optm.optimize();
    init(pCtx);
    qb = pCtx.getQB();


    // At this point we have the complete operator tree
    // from which we want to find the reduce operator

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                                         opToSamplePruner);


    Optimizer optm = new Optimizer();
    optm.setPctx(pCtx);
    optm.initialize(conf);
    pCtx = optm.optimize();
    init(pCtx);
    qb = pCtx.getQB();


    // At this point we have the complete operator tree
    // from which we want to find the reduce operator

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    }


    Optimizer optm = new Optimizer();
    optm.setPctx(pCtx);
    optm.initialize(conf);
    pCtx = optm.optimize();


    // At this point we have the complete operator tree
    // from which we want to find the reduce operator
    genMapRedTasks(pCtx);

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                                         ctx, idToTableNameMap, destTableId, uCtx, listMapJoinOpsNoReducer);
  
    Optimizer optm = new Optimizer();
    optm.setPctx(pCtx);
    optm.initialize(conf);
    pCtx = optm.optimize();
    init(pCtx);
    qb = pCtx.getQB();
    
    // Do any partition pruning using ASTPartitionPruner
    genPartitionPruners(qb);

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        opToSamplePruner, globalLimitCtx, nameToSplitSample, inputs, rootTasks);


    Optimizer optm = new Optimizer();
    optm.setPctx(pCtx);
    optm.initialize(conf);
    pCtx = optm.optimize();
    init(pCtx);
    qb = pCtx.getQB();


    // At this point we have the complete operator tree
    // from which we want to find the reduce operator

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        opToSamplePruner, globalLimitCtx, nameToSplitSample, inputs, rootTasks);


    Optimizer optm = new Optimizer();
    optm.setPctx(pCtx);
    optm.initialize(conf);
    pCtx = optm.optimize();
    init(pCtx);
    qb = pCtx.getQB();


    // At this point we have the complete operator tree
    // from which we want to find the reduce operator

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    }


    Optimizer optm = new Optimizer();
    optm.setPctx(pCtx);
    optm.initialize(conf);
    pCtx = optm.optimize();
    
    FetchTask origFetchTask = pCtx.getFetchTask();


    if (LOG.isDebugEnabled()) {
      LOG.debug("After logical optimization\n" + Operator.toString(pCtx.getTopOps().values()));

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