Java OLAPTable类代码示例

import org.apache.kylin.query.schema.OLAPTable; //导入依赖的package包/类
public LookupTableEnumerator(OLAPContext olapContext) {

        //TODO: assuming LookupTableEnumerator is handled by a cube
        CubeInstance cube = (CubeInstance) olapContext.realization;

        String lookupTableName = olapContext.firstTableScan.getTableName();
        DimensionDesc dim = cube.getDescriptor().findDimensionByTable(lookupTableName);
        if (dim == null)
            throw new IllegalStateException("No dimension with derived columns found for lookup table " + lookupTableName + ", cube desc " + cube.getDescriptor());

        CubeManager cubeMgr = CubeManager.getInstance(cube.getConfig());
        LookupStringTable table = cubeMgr.getLookupTable(cube.getLatestReadySegment(), dim);
        this.allRows = table.getAllRows();

        OLAPTable olapTable = (OLAPTable) olapContext.firstTableScan.getOlapTable();
        this.colDescs = olapTable.getExposedColumns();
        this.current = new Object[colDescs.size()];

        reset();
    }
 

import org.apache.kylin.query.schema.OLAPTable; //导入依赖的package包/类
@Override
public Result implement(EnumerableRelImplementor implementor, Prefer pref) {
    if (!(implementor instanceof JavaImplementor))
        throw new IllegalStateException("implementor is not JavaImplementor");
    JavaImplementor javaImplementor = (JavaImplementor) implementor;

    int ctxId = this.context.id;
    if (javaImplementor.getParentContext() != null) {
        ctxId = javaImplementor.getParentContext().id;
    }

    PhysType physType = PhysTypeImpl.of(javaImplementor.getTypeFactory(), this.rowType, pref.preferArray());

    String execFunction = genExecFunc();

    return javaImplementor.result(physType, Blocks.toBlock(Expressions.call(table.getExpression(OLAPTable.class), execFunction, javaImplementor.getRootExpression(), Expressions.constant(ctxId))));
}
 

import org.apache.kylin.query.schema.OLAPTable; //导入依赖的package包/类
@Override
public Result implement(EnumerableRelImplementor implementor, Prefer pref) {

    context.setReturnTupleInfo(rowType, columnRowType);

    PhysType physType = PhysTypeImpl.of(implementor.getTypeFactory(), getRowType(), pref.preferArray());
    RelOptTable factTable = context.firstTableScan.getTable();
    MethodCallExpression exprCall = Expressions.call(factTable.getExpression(OLAPTable.class), "executeOLAPQuery",
            implementor.getRootExpression(), Expressions.constant(context.id));
    return implementor.result(physType, Blocks.toBlock(exprCall));
}
 

import org.apache.kylin.query.schema.OLAPTable; //导入依赖的package包/类
public OLAPTableScan(RelOptCluster cluster, RelOptTable table, OLAPTable olapTable, int[] fields) {
    super(cluster, cluster.traitSetOf(OLAPRel.CONVENTION), table);
    this.olapTable = olapTable;
    this.fields = fields;
    this.tableName = olapTable.getTableName();
    this.rowType = getRowType();
    this.kylinConfig = KylinConfig.getInstanceFromEnv();
}
 

import org.apache.kylin.query.schema.OLAPTable; //导入依赖的package包/类
@Override
public Result implement(EnumerableRelImplementor implementor, Prefer pref) {

    context.setReturnTupleInfo(rowType, columnRowType);
    String execFunction = genExecFunc();

    PhysType physType = PhysTypeImpl.of(implementor.getTypeFactory(), getRowType(), JavaRowFormat.ARRAY);
    MethodCallExpression exprCall = Expressions.call(table.getExpression(OLAPTable.class), execFunction,
            implementor.getRootExpression(), Expressions.constant(context.id));
    return implementor.result(physType, Blocks.toBlock(exprCall));
}
 

import org.apache.kylin.query.schema.OLAPTable; //导入依赖的package包/类
@Override
public Result implement(EnumerableRelImplementor implementor, Prefer pref) {
    Result result = null;
    if (this.hasSubQuery) {
        result = super.implement(implementor, pref);
    } else {
        PhysType physType = PhysTypeImpl.of(implementor.getTypeFactory(), getRowType(), pref.preferArray());

        RelOptTable factTable = context.firstTableScan.getTable();
        result = implementor.result(physType, Blocks.toBlock(Expressions.call(factTable.getExpression(OLAPTable.class), "executeIndexQuery", implementor.getRootExpression(), Expressions.constant(context.id))));
    }

    return result;
}
 

import org.apache.kylin.query.schema.OLAPTable; //导入依赖的package包/类
private Result buildHiveResult(EnumerableRelImplementor enumImplementor, Prefer pref, OLAPContext context) {
    RelDataType hiveRowType = getRowType();

    context.olapRowType = hiveRowType;
    PhysType physType = PhysTypeImpl.of(enumImplementor.getTypeFactory(), hiveRowType, pref.preferArray());

    RelOptTable factTable = context.firstTableScan.getTable();
    Result result = enumImplementor.result(physType, Blocks.toBlock(Expressions.call(factTable.getExpression(OLAPTable.class), "executeHiveQuery", enumImplementor.getRootExpression())));
    return result;
}
 

import org.apache.kylin.query.schema.OLAPTable; //导入依赖的package包/类
public OLAPTableScan(RelOptCluster cluster, RelOptTable table, OLAPTable olapTable, int[] fields) {
    super(cluster, cluster.traitSetOf(OLAPRel.CONVENTION), table);
    this.olapTable = olapTable;
    this.fields = fields;
    this.tableName = olapTable.getTableName();
    this.rowType = getRowType();
}
 

import org.apache.kylin.query.schema.OLAPTable; //导入依赖的package包/类
public OLAPTable getOlapTable() {
    return olapTable;
}