示例#1
0
  /** 把query中的avg换成count,sum */
  @Override
  public IDataNodeExecutor optimize(
      IDataNodeExecutor dne,
      Map<Integer, ParameterContext> parameterSettings,
      Map<String, Object> extraCmd) {
    if (dne instanceof IMerge && ((IMerge) dne).getSubNode().size() > 1) {
      for (IDataNodeExecutor sub : ((IMerge) dne).getSubNode()) {
        expendAvgFunction(sub);
      }

      for (IDataNodeExecutor sub : ((IMerge) dne).getSubNode()) {
        this.optimize(sub, parameterSettings, extraCmd);
      }
    } else if (dne instanceof IJoin) {
      IJoin join = (IJoin) dne;
      // join函数,采取map模式,不需要处理avg展开
      // 递归处理子节点
      this.optimize(join.getLeftNode(), parameterSettings, extraCmd);
      this.optimize(join.getRightNode(), parameterSettings, extraCmd);
    } else if (dne instanceof IQuery) {
      IQuery query = (IQuery) dne;
      // 如果是子查询,采取map模式,不需要处理avg展开
      if (query.isSubQuery()) {
        this.optimize(query.getSubQuery(), parameterSettings, extraCmd); // 递归处理子节点
      }
    }

    return dne;
  }
  @Override
  public IBlockNestedLoopCursor blockNestedLoopJoinCursor(
      ExecutionContext executionContext,
      ISchematicCursor left_cursor,
      ISchematicCursor right_cursor,
      List left_columns,
      List right_columns,
      List columns,
      IJoin join)
      throws TddlException {

    try {
      return new BlockNestedtLoopCursor(
          left_cursor,
          right_cursor,
          left_columns,
          right_columns,
          columns,
          this,
          join,
          executionContext,
          join.getLeftNode().getColumns(),
          join.getRightNode().getColumns());
    } catch (Exception e) {
      closeParentCursor(left_cursor);
      closeParentCursor(right_cursor);
      throw new TddlException(e);
    }
  }
 @Override
 public IIndexNestLoopCursor indexNestLoopCursor(
     ExecutionContext executionContext,
     ISchematicCursor leftCursor,
     ISchematicCursor rightCursor,
     List leftColumns,
     List rightColumns,
     List columns,
     boolean prefix,
     IJoin executor)
     throws TddlException {
   try {
     return new IndexNestedLoopMgetImpCursor(
         leftCursor,
         rightCursor,
         leftColumns,
         rightColumns,
         columns,
         prefix,
         executor.getLeftNode().getColumns(),
         executor.getRightNode().getColumns(),
         executor,
         executionContext);
   } catch (Exception e) {
     closeParentCursor(leftCursor);
     closeParentCursor(rightCursor);
     throw new TddlException(e);
   }
 }
示例#4
0
 @Test
 public void test_三表Join_主键索引_存在主键索引条件() {
   TableNode table = new TableNode("TABLE1");
   JoinNode join = table.join("TABLE2", "TABLE1.ID", "TABLE2.ID");
   join = join.join("TABLE3", "TABLE1.ID", "TABLE3.ID");
   join.query("TABLE3.ID IN (1,2)");
   IQueryTree qc = (IQueryTree) optimizer.optimizeAndAssignment(join, null, extraCmd);
   Assert.assertTrue(qc instanceof IMerge);
   Assert.assertTrue(((IMerge) qc).getSubNodes().get(0) instanceof IJoin);
   IJoin subJoin = (IJoin) ((IMerge) qc).getSubNodes().get(0);
   Assert.assertTrue(subJoin.getLeftNode() instanceof IJoin);
   Assert.assertEquals(JoinStrategy.INDEX_NEST_LOOP, subJoin.getJoinStrategy());
 }
示例#5
0
  // 单表非主键索引查询
  // NAME上存在索引
  // 会生成一个Join节点
  // 左边通过NAME索引找到满足条件的PK,keyFilter应该为NAME=1
  // 与pk->data Join
  // Join类型为IndexNestLoop
  @Test
  public void test_单表查询_value条件() {
    TableNode table = new TableNode("TABLE1");
    table.query("NAME = 1");

    IQueryTree qc = (IQueryTree) optimizer.optimizeAndAssignment(table, null, extraCmd);
    Assert.assertTrue(qc instanceof IMerge);
    Assert.assertEquals(
        QUERY_CONCURRENCY.GROUP_CONCURRENT, ((IMerge) qc).getQueryConcurrency()); // 并行
    IDataNodeExecutor dne = ((IMerge) qc).getSubNodes().get(0);
    Assert.assertTrue(dne instanceof IJoin);
    IJoin join = (IJoin) dne;
    IQuery left = (IQuery) join.getLeftNode();
    Assert.assertEquals("TABLE1._NAME.NAME = 1", left.getKeyFilter().toString());
  }
示例#6
0
 // 单表or查询
 // 查询条件由or连接,
 // 由于NAME和ID上存在索引,所以会生成两个子查询
 // or的两边分别作为子查询的keyFilter
 // 由于NAME=2323的子查询为非主键索引查询
 // 所以此处会生成一个join节点
 // 最后一个merge节点用于合并子查询的结果
 @Test
 public void test_单表查询_OR条件_1() {
   TableNode table = new TableNode("TABLE1");
   table.query("NAME = 2323 OR ID=1");
   extraCmd.put(ConnectionProperties.CHOOSE_INDEX_MERGE, true);
   IQueryTree qc = (IQueryTree) optimizer.optimizeAndAssignment(table, null, extraCmd);
   extraCmd.put(ConnectionProperties.CHOOSE_INDEX_MERGE, false);
   Assert.assertTrue(qc instanceof IMerge);
   Assert.assertTrue(((IMerge) qc).isUnion()); // 是union查询
   Assert.assertTrue(((IMerge) qc).getSubNodes().get(0) instanceof IQuery);
   IQuery query = (IQuery) ((IMerge) qc).getSubNodes().get(0);
   Assert.assertEquals("TABLE1.ID = 1", query.getKeyFilter().toString());
   Assert.assertTrue(((IMerge) qc).getSubNodes().get(1) instanceof IMerge);
   Assert.assertTrue(
       ((IMerge) ((IMerge) qc).getSubNodes().get(1)).getSubNodes().get(0) instanceof IJoin);
   IJoin join = (IJoin) ((IMerge) ((IMerge) qc).getSubNodes().get(1)).getSubNodes().get(0);
   Assert.assertEquals(
       "TABLE1._NAME.NAME = 2323", ((IQuery) join.getLeftNode()).getKeyFilter().toString());
 }