/**
* Build ExprNodeColumnDesc for the projections in the input operator from sartpos to endpos(both
* included). Operator must have an associated colExprMap.
*
* @param inputOp Input Hive Operator
* @param startPos starting position in the input operator schema; must be >=0 and <= endPos
* @param endPos end position in the input operator schema; must be >=0.
* @return List of ExprNodeDesc
*/
public static ArrayList<ExprNodeDesc> genExprNodeDesc(
Operator inputOp,
int startPos,
int endPos,
boolean addEmptyTabAlias,
boolean setColToNonVirtual) {
ArrayList<ExprNodeDesc> exprColLst = new ArrayList<ExprNodeDesc>();
List<ColumnInfo> colInfoLst = inputOp.getSchema().getSignature();
String tabAlias;
boolean vc;
ColumnInfo ci;
for (int i = startPos; i <= endPos; i++) {
ci = colInfoLst.get(i);
tabAlias = ci.getTabAlias();
if (addEmptyTabAlias) {
tabAlias = "";
}
vc = ci.getIsVirtualCol();
if (setColToNonVirtual) {
vc = false;
}
exprColLst.add(new ExprNodeColumnDesc(ci.getType(), ci.getInternalName(), tabAlias, vc));
}
return exprColLst;
}
@Override
protected ExprNodeColumnDesc processQualifiedColRef(
TypeCheckCtx ctx, ASTNode expr, Object... nodeOutputs) throws SemanticException {
String tableAlias =
BaseSemanticAnalyzer.unescapeIdentifier(expr.getChild(0).getChild(0).getText());
// NOTE: tableAlias must be a valid non-ambiguous table alias,
// because we've checked that in TOK_TABLE_OR_COL's process method.
ColumnInfo colInfo =
getColInfo(
(JoinTypeCheckCtx) ctx,
tableAlias,
((ExprNodeConstantDesc) nodeOutputs[1]).getValue().toString(),
expr);
if (colInfo == null) {
ctx.setError(ErrorMsg.INVALID_COLUMN.getMsg(expr.getChild(1)), expr);
return null;
}
return new ExprNodeColumnDesc(
colInfo.getType(), colInfo.getInternalName(), tableAlias, colInfo.getIsVirtualCol());
}
private void createMapReduce4Merge(FileSinkOperator fsOp, GenMRProcContext ctx, String finalName)
throws SemanticException {
Task<? extends Serializable> currTask = ctx.getCurrTask();
RowSchema inputRS = fsOp.getSchema();
// create a reduce Sink operator - key is the first column
ArrayList<ExprNodeDesc> keyCols = new ArrayList<ExprNodeDesc>();
keyCols.add(TypeCheckProcFactory.DefaultExprProcessor.getFuncExprNodeDesc("rand"));
// value is all the columns in the FileSink operator input
ArrayList<ExprNodeDesc> valueCols = new ArrayList<ExprNodeDesc>();
for (ColumnInfo ci : inputRS.getSignature()) {
valueCols.add(
new ExprNodeColumnDesc(
ci.getType(), ci.getInternalName(), ci.getTabAlias(), ci.getIsVirtualCol()));
}
// create a dummy tableScan operator
Operator<? extends Serializable> tsMerge = OperatorFactory.get(TableScanDesc.class, inputRS);
ArrayList<String> outputColumns = new ArrayList<String>();
for (int i = 0; i < valueCols.size(); i++) {
outputColumns.add(SemanticAnalyzer.getColumnInternalName(i));
}
ReduceSinkDesc rsDesc =
PlanUtils.getReduceSinkDesc(
new ArrayList<ExprNodeDesc>(), valueCols, outputColumns, false, -1, -1, -1);
OperatorFactory.getAndMakeChild(rsDesc, inputRS, tsMerge);
ParseContext parseCtx = ctx.getParseCtx();
FileSinkDesc fsConf = fsOp.getConf();
// Add the extract operator to get the value fields
RowResolver out_rwsch = new RowResolver();
RowResolver interim_rwsch = ctx.getParseCtx().getOpParseCtx().get(fsOp).getRowResolver();
Integer pos = Integer.valueOf(0);
for (ColumnInfo colInfo : interim_rwsch.getColumnInfos()) {
String[] info = interim_rwsch.reverseLookup(colInfo.getInternalName());
out_rwsch.put(
info[0],
info[1],
new ColumnInfo(
pos.toString(),
colInfo.getType(),
info[0],
colInfo.getIsVirtualCol(),
colInfo.isHiddenVirtualCol()));
pos = Integer.valueOf(pos.intValue() + 1);
}
Operator<ExtractDesc> extract =
OperatorFactory.getAndMakeChild(
new ExtractDesc(
new ExprNodeColumnDesc(
TypeInfoFactory.stringTypeInfo,
Utilities.ReduceField.VALUE.toString(),
"",
false)),
new RowSchema(out_rwsch.getColumnInfos()));
TableDesc ts = (TableDesc) fsConf.getTableInfo().clone();
fsConf
.getTableInfo()
.getProperties()
.remove(org.apache.hadoop.hive.metastore.api.Constants.META_TABLE_PARTITION_COLUMNS);
FileSinkDesc newFSD =
new FileSinkDesc(
finalName, ts, parseCtx.getConf().getBoolVar(HiveConf.ConfVars.COMPRESSRESULT));
FileSinkOperator newOutput =
(FileSinkOperator) OperatorFactory.getAndMakeChild(newFSD, inputRS, extract);
HiveConf conf = parseCtx.getConf();
MapredWork cplan = createMergeTask(conf, tsMerge, fsConf);
cplan.setReducer(extract);
// NOTE: we should gather stats in MR1 (rather than the merge MR job)
// since it is unknown if the merge MR will be triggered at execution time.
MoveWork dummyMv =
new MoveWork(
null,
null,
null,
new LoadFileDesc(fsConf.getDirName(), finalName, true, null, null),
false);
ConditionalTask cndTsk = createCondTask(conf, currTask, dummyMv, cplan, fsConf.getDirName());
LinkMoveTask(ctx, newOutput, cndTsk);
}
@Override
@SuppressWarnings("unchecked")
public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx ctx, Object... nodeOutputs)
throws SemanticException {
ColumnPrunerProcCtx cppCtx = (ColumnPrunerProcCtx) ctx;
Operator<? extends OperatorDesc> op = (Operator<? extends OperatorDesc>) nd;
RowResolver inputRR = cppCtx.getParseContext().getOpParseCtx().get(op).getRowResolver();
List<String> prunedCols = cppCtx.getPrunedColList(op.getChildOperators().get(0));
Operator<? extends OperatorDesc> parent = op.getParentOperators().get(0);
RowResolver parentRR = cppCtx.getParseContext().getOpParseCtx().get(parent).getRowResolver();
List<ColumnInfo> sig = parentRR.getRowSchema().getSignature();
List<String> colList = new ArrayList<String>();
for (ColumnInfo cI : sig) {
colList.add(cI.getInternalName());
}
if (prunedCols.size() != inputRR.getRowSchema().getSignature().size()
&& !(op.getChildOperators().get(0) instanceof SelectOperator)) {
ArrayList<ExprNodeDesc> exprs = new ArrayList<ExprNodeDesc>();
ArrayList<String> outputs = new ArrayList<String>();
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
RowResolver outputRS = new RowResolver();
for (String internalName : prunedCols) {
String[] nm = inputRR.reverseLookup(internalName);
ColumnInfo valueInfo = inputRR.get(nm[0], nm[1]);
ExprNodeDesc colDesc =
new ExprNodeColumnDesc(
valueInfo.getType(),
valueInfo.getInternalName(),
nm[0],
valueInfo.getIsVirtualCol());
exprs.add(colDesc);
outputs.add(internalName);
outputRS.put(
nm[0],
nm[1],
new ColumnInfo(
internalName,
valueInfo.getType(),
nm[0],
valueInfo.getIsVirtualCol(),
valueInfo.isHiddenVirtualCol()));
colExprMap.put(internalName, colDesc);
}
SelectDesc select = new SelectDesc(exprs, outputs, false);
Operator<? extends OperatorDesc> child = op.getChildOperators().get(0);
op.removeChild(child);
SelectOperator sel =
(SelectOperator)
OperatorFactory.getAndMakeChild(
select, new RowSchema(outputRS.getColumnInfos()), op);
OperatorFactory.makeChild(sel, child);
OpParseContext parseCtx = new OpParseContext(outputRS);
cppCtx.getParseContext().getOpParseCtx().put(sel, parseCtx);
sel.setColumnExprMap(colExprMap);
}
cppCtx.getPrunedColLists().put(op, colList);
return null;
}