use of org.apache.hadoop.hive.ql.plan.JoinCondDesc in project hive by apache.
the class AbstractSMBJoinProc method canConvertJoinToBucketMapJoin.
// Can the join operator be converted to a bucket map-merge join operator ?
@SuppressWarnings("unchecked")
protected boolean canConvertJoinToBucketMapJoin(JoinOperator joinOp, SortBucketJoinProcCtx context) throws SemanticException {
// This has already been inspected and rejected
if (context.getRejectedJoinOps().contains(joinOp)) {
return false;
}
if (!this.pGraphContext.getJoinOps().contains(joinOp)) {
return false;
}
Class<? extends BigTableSelectorForAutoSMJ> bigTableMatcherClass = null;
try {
String selector = HiveConf.getVar(pGraphContext.getConf(), HiveConf.ConfVars.HIVE_AUTO_SORTMERGE_JOIN_BIGTABLE_SELECTOR);
bigTableMatcherClass = JavaUtils.loadClass(selector);
} catch (ClassNotFoundException e) {
throw new SemanticException(e.getMessage());
}
BigTableSelectorForAutoSMJ bigTableMatcher = ReflectionUtils.newInstance(bigTableMatcherClass, null);
JoinDesc joinDesc = joinOp.getConf();
JoinCondDesc[] joinCondns = joinDesc.getConds();
Set<Integer> joinCandidates = MapJoinProcessor.getBigTableCandidates(joinCondns);
if (joinCandidates.isEmpty()) {
// of any type. So return false.
return false;
}
int bigTablePosition = bigTableMatcher.getBigTablePosition(pGraphContext, joinOp, joinCandidates);
if (bigTablePosition < 0) {
// contains aliases from sub-query
return false;
}
context.setBigTablePosition(bigTablePosition);
String joinAlias = bigTablePosition == 0 ? joinOp.getConf().getLeftAlias() : joinOp.getConf().getRightAliases()[bigTablePosition - 1];
joinAlias = QB.getAppendedAliasFromId(joinOp.getConf().getId(), joinAlias);
Map<Byte, List<ExprNodeDesc>> keyExprMap = new HashMap<Byte, List<ExprNodeDesc>>();
List<Operator<? extends OperatorDesc>> parentOps = joinOp.getParentOperators();
// get the join keys from parent ReduceSink operators
for (Operator<? extends OperatorDesc> parentOp : parentOps) {
ReduceSinkDesc rsconf = ((ReduceSinkOperator) parentOp).getConf();
Byte tag = (byte) rsconf.getTag();
List<ExprNodeDesc> keys = rsconf.getKeyCols();
keyExprMap.put(tag, keys);
}
context.setKeyExprMap(keyExprMap);
// Make a deep copy of the aliases so that they are not changed in the context
String[] joinSrcs = joinOp.getConf().getBaseSrc();
String[] srcs = new String[joinSrcs.length];
for (int srcPos = 0; srcPos < joinSrcs.length; srcPos++) {
joinSrcs[srcPos] = QB.getAppendedAliasFromId(joinOp.getConf().getId(), joinSrcs[srcPos]);
srcs[srcPos] = new String(joinSrcs[srcPos]);
}
// table matcher.
return checkConvertBucketMapJoin(context, joinOp.getConf().getAliasToOpInfo(), keyExprMap, joinAlias, Arrays.asList(srcs));
}
use of org.apache.hadoop.hive.ql.plan.JoinCondDesc in project hive by apache.
the class SemanticAnalyzer method genJoinOperatorChildren.
private Operator genJoinOperatorChildren(QBJoinTree join, Operator left, Operator[] right, Set<Integer> omitOpts, ExprNodeDesc[][] joinKeys) throws SemanticException {
RowResolver outputRR = new RowResolver();
List<String> outputColumnNames = new ArrayList<String>();
// all children are base classes
Operator<?>[] rightOps = new Operator[right.length];
Map<String, Byte> reversedExprs = new HashMap<String, Byte>();
Map<Byte, List<ExprNodeDesc>> exprMap = new HashMap<Byte, List<ExprNodeDesc>>();
Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
Map<Integer, Set<String>> posToAliasMap = new HashMap<Integer, Set<String>>();
Map<Byte, List<ExprNodeDesc>> filterMap = new HashMap<Byte, List<ExprNodeDesc>>();
// Only used for semijoin with residual predicates
List<ColumnInfo> topSelectInputColumns = new ArrayList<>();
for (int pos = 0; pos < right.length; ++pos) {
Operator<?> input = right[pos] == null ? left : right[pos];
if (input == null) {
input = left;
}
ReduceSinkOperator rs = (ReduceSinkOperator) input;
if (rs.getNumParent() != 1) {
throw new SemanticException("RS should have single parent");
}
Operator<?> parent = rs.getParentOperators().get(0);
ReduceSinkDesc rsDesc = (ReduceSinkDesc) (input.getConf());
int[] index = rs.getValueIndex();
List<ExprNodeDesc> valueDesc = new ArrayList<ExprNodeDesc>();
List<ExprNodeDesc> filterDesc = new ArrayList<ExprNodeDesc>();
Byte tag = (byte) rsDesc.getTag();
// we will add a Select on top of the join
if (omitOpts != null && omitOpts.contains(pos) && join.getPostJoinFilters().size() == 0) {
exprMap.put(tag, valueDesc);
filterMap.put(tag, filterDesc);
rightOps[pos] = input;
continue;
}
List<String> keyColNames = rsDesc.getOutputKeyColumnNames();
List<String> valColNames = rsDesc.getOutputValueColumnNames();
// prepare output descriptors for the input opt
RowResolver inputRR = opParseCtx.get(input).getRowResolver();
RowResolver parentRR = opParseCtx.get(parent).getRowResolver();
posToAliasMap.put(pos, new HashSet<String>(inputRR.getTableNames()));
List<ColumnInfo> columns = parentRR.getColumnInfos();
for (int i = 0; i < index.length; i++) {
ColumnInfo prev = columns.get(i);
String[] nm = parentRR.reverseLookup(prev.getInternalName());
String[] nm2 = parentRR.getAlternateMappings(prev.getInternalName());
if (outputRR.get(nm[0], nm[1]) != null) {
continue;
}
ColumnInfo info = new ColumnInfo(prev);
String field;
if (index[i] >= 0) {
field = Utilities.ReduceField.KEY + "." + keyColNames.get(index[i]);
} else {
field = Utilities.ReduceField.VALUE + "." + valColNames.get(-index[i] - 1);
}
String internalName = getColumnInternalName(outputColumnNames.size());
ExprNodeColumnDesc desc = new ExprNodeColumnDesc(info.getType(), field, info.getTabAlias(), info.getIsVirtualCol());
info.setInternalName(internalName);
colExprMap.put(internalName, desc);
outputRR.put(nm[0], nm[1], info);
if (nm2 != null) {
outputRR.addMappingOnly(nm2[0], nm2[1], info);
}
valueDesc.add(desc);
outputColumnNames.add(internalName);
reversedExprs.put(internalName, tag);
// Populate semijoin select if needed
if (omitOpts == null || !omitOpts.contains(pos)) {
topSelectInputColumns.add(info);
}
}
for (ASTNode cond : join.getFilters().get(tag)) {
filterDesc.add(genExprNodeDesc(cond, inputRR));
}
exprMap.put(tag, valueDesc);
filterMap.put(tag, filterDesc);
rightOps[pos] = input;
}
JoinCondDesc[] joinCondns = new JoinCondDesc[join.getJoinCond().length];
for (int i = 0; i < join.getJoinCond().length; i++) {
JoinCond condn = join.getJoinCond()[i];
joinCondns[i] = new JoinCondDesc(condn);
}
JoinDesc desc = new JoinDesc(exprMap, outputColumnNames, join.getNoOuterJoin(), joinCondns, filterMap, joinKeys, null);
desc.setReversedExprs(reversedExprs);
desc.setFilterMap(join.getFilterMap());
// Add filters that apply to more than one input
if (join.getPostJoinFilters().size() != 0 && (!join.getNoOuterJoin() || !join.getNoSemiJoin() || HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVE_PUSH_RESIDUAL_INNER))) {
LOG.debug("Generate JOIN with post-filtering conditions");
List<ExprNodeDesc> residualFilterExprs = new ArrayList<ExprNodeDesc>();
for (ASTNode cond : join.getPostJoinFilters()) {
residualFilterExprs.add(genExprNodeDesc(cond, outputRR, false, isCBOExecuted()));
}
desc.setResidualFilterExprs(residualFilterExprs);
// Clean post-conditions
join.getPostJoinFilters().clear();
}
JoinOperator joinOp = (JoinOperator) OperatorFactory.getAndMakeChild(getOpContext(), desc, new RowSchema(outputRR.getColumnInfos()), rightOps);
joinOp.setColumnExprMap(colExprMap);
joinOp.setPosToAliasMap(posToAliasMap);
if (join.getNullSafes() != null) {
boolean[] nullsafes = new boolean[join.getNullSafes().size()];
for (int i = 0; i < nullsafes.length; i++) {
nullsafes[i] = join.getNullSafes().get(i);
}
desc.setNullSafes(nullsafes);
}
Operator<?> topOp = putOpInsertMap(joinOp, outputRR);
if (omitOpts != null && !omitOpts.isEmpty() && desc.getResidualFilterExprs() != null && !desc.getResidualFilterExprs().isEmpty()) {
// Adding a select operator to top of semijoin to ensure projection of only correct columns
final List<ExprNodeDesc> topSelectExprs = new ArrayList<>();
final List<String> topSelectOutputColNames = new ArrayList<>();
final RowResolver topSelectRR = new RowResolver();
final Map<String, ExprNodeDesc> topSelectColExprMap = new HashMap<String, ExprNodeDesc>();
for (ColumnInfo colInfo : topSelectInputColumns) {
ExprNodeColumnDesc columnExpr = new ExprNodeColumnDesc(colInfo);
topSelectExprs.add(columnExpr);
topSelectOutputColNames.add(colInfo.getInternalName());
topSelectColExprMap.put(colInfo.getInternalName(), columnExpr);
String[] nm = outputRR.reverseLookup(columnExpr.getColumn());
String[] nm2 = outputRR.getAlternateMappings(columnExpr.getColumn());
topSelectRR.put(nm[0], nm[1], colInfo);
if (nm2 != null) {
topSelectRR.addMappingOnly(nm2[0], nm2[1], colInfo);
}
}
final SelectDesc topSelect = new SelectDesc(topSelectExprs, topSelectOutputColNames);
topOp = putOpInsertMap(OperatorFactory.getAndMakeChild(topSelect, new RowSchema(topSelectRR.getColumnInfos()), topOp), topSelectRR);
topOp.setColumnExprMap(topSelectColExprMap);
}
return topOp;
}
use of org.apache.hadoop.hive.ql.plan.JoinCondDesc in project hive by apache.
the class CommonMergeJoinOperator method getFetchInputAtCloseList.
/*
* In case of outer joins, we need to push records through even if one of the sides is done
* sending records. For e.g. In the case of full outer join, the right side needs to send in data
* for the join even after the left side has completed sending all the records on its side. This
* can be done once at initialize time and at close, these tags will still forward records until
* they have no more to send. Also, subsequent joins need to fetch their data as well since
* any join following the outer join could produce results with one of the outer sides depending on
* the join condition. We could optimize for the case of inner joins in the future here.
*/
private Set<Integer> getFetchInputAtCloseList() {
Set<Integer> retval = new TreeSet<Integer>();
for (JoinCondDesc joinCondDesc : conf.getConds()) {
retval.add(joinCondDesc.getLeft());
retval.add(joinCondDesc.getRight());
}
return retval;
}
use of org.apache.hadoop.hive.ql.plan.JoinCondDesc in project hive by apache.
the class MapJoinProcessor method getMapJoinDesc.
public static MapJoinDesc getMapJoinDesc(HiveConf hconf, JoinOperator op, boolean leftInputJoin, String[] baseSrc, List<String> mapAliases, int mapJoinPos, boolean noCheckOuterJoin, boolean adjustParentsChildren) throws SemanticException {
JoinDesc desc = op.getConf();
JoinCondDesc[] condns = desc.getConds();
Byte[] tagOrder = desc.getTagOrder();
// outer join cannot be performed on a table which is being cached
if (!noCheckOuterJoin) {
if (checkMapJoin(mapJoinPos, condns) < 0) {
throw new SemanticException(ErrorMsg.NO_OUTER_MAPJOIN.getMsg());
}
}
Map<String, ExprNodeDesc> colExprMap = op.getColumnExprMap();
List<ColumnInfo> schema = new ArrayList<ColumnInfo>(op.getSchema().getSignature());
Map<Byte, List<ExprNodeDesc>> valueExprs = op.getConf().getExprs();
Map<Byte, List<ExprNodeDesc>> newValueExprs = new HashMap<Byte, List<ExprNodeDesc>>();
Pair<List<ReduceSinkOperator>, Map<Byte, List<ExprNodeDesc>>> pair = getKeys(leftInputJoin, baseSrc, op);
List<ReduceSinkOperator> oldReduceSinkParentOps = pair.getLeft();
for (Map.Entry<Byte, List<ExprNodeDesc>> entry : valueExprs.entrySet()) {
byte tag = entry.getKey();
Operator<?> terminal = oldReduceSinkParentOps.get(tag);
List<ExprNodeDesc> values = entry.getValue();
List<ExprNodeDesc> newValues = ExprNodeDescUtils.backtrack(values, op, terminal);
newValueExprs.put(tag, newValues);
for (int i = 0; i < schema.size(); i++) {
ColumnInfo column = schema.get(i);
if (column == null) {
continue;
}
ExprNodeDesc expr = colExprMap.get(column.getInternalName());
int index = ExprNodeDescUtils.indexOf(expr, values);
if (index >= 0) {
schema.set(i, null);
if (adjustParentsChildren) {
// Since we remove reduce sink parents, replace original expressions
colExprMap.put(column.getInternalName(), newValues.get(index));
}
}
}
}
// rewrite value index for mapjoin
Map<Byte, int[]> valueIndices = new HashMap<Byte, int[]>();
// get the join keys from old parent ReduceSink operators
Map<Byte, List<ExprNodeDesc>> keyExprMap = pair.getRight();
if (!adjustParentsChildren) {
// Since we did not remove reduce sink parents, keep the original value expressions
newValueExprs = valueExprs;
// Join key exprs are represented in terms of the original table columns,
// we need to convert these to the generated column names we can see in the Join operator
Map<Byte, List<ExprNodeDesc>> newKeyExprMap = new HashMap<Byte, List<ExprNodeDesc>>();
for (Map.Entry<Byte, List<ExprNodeDesc>> mapEntry : keyExprMap.entrySet()) {
Byte pos = mapEntry.getKey();
ReduceSinkOperator rsParent = oldReduceSinkParentOps.get(pos.byteValue());
List<ExprNodeDesc> keyExprList = ExprNodeDescUtils.resolveJoinKeysAsRSColumns(mapEntry.getValue(), rsParent);
if (keyExprList == null) {
throw new SemanticException("Error resolving join keys");
}
newKeyExprMap.put(pos, keyExprList);
}
keyExprMap = newKeyExprMap;
}
// construct valueTableDescs and valueFilteredTableDescs
List<TableDesc> valueTableDescs = new ArrayList<TableDesc>();
List<TableDesc> valueFilteredTableDescs = new ArrayList<TableDesc>();
int[][] filterMap = desc.getFilterMap();
for (byte pos = 0; pos < op.getParentOperators().size(); pos++) {
List<ExprNodeDesc> valueCols = newValueExprs.get(pos);
if (pos != mapJoinPos) {
// remove values in key exprs for value table schema
// value expression for hashsink will be modified in
// LocalMapJoinProcessor
int[] valueIndex = new int[valueCols.size()];
List<ExprNodeDesc> valueColsInValueExpr = new ArrayList<ExprNodeDesc>();
for (int i = 0; i < valueIndex.length; i++) {
ExprNodeDesc expr = valueCols.get(i);
int kindex = ExprNodeDescUtils.indexOf(expr, keyExprMap.get(pos));
if (kindex >= 0) {
valueIndex[i] = kindex;
} else {
valueIndex[i] = -valueColsInValueExpr.size() - 1;
valueColsInValueExpr.add(expr);
}
}
if (needValueIndex(valueIndex)) {
valueIndices.put(pos, valueIndex);
}
valueCols = valueColsInValueExpr;
}
// deep copy expr node desc
List<ExprNodeDesc> valueFilteredCols = ExprNodeDescUtils.clone(valueCols);
if (filterMap != null && filterMap[pos] != null && pos != mapJoinPos) {
ExprNodeColumnDesc isFilterDesc = new ExprNodeColumnDesc(TypeInfoFactory.getPrimitiveTypeInfo(serdeConstants.SMALLINT_TYPE_NAME), "filter", "filter", false);
valueFilteredCols.add(isFilterDesc);
}
TableDesc valueTableDesc = PlanUtils.getMapJoinValueTableDesc(PlanUtils.getFieldSchemasFromColumnList(valueCols, "mapjoinvalue"));
TableDesc valueFilteredTableDesc = PlanUtils.getMapJoinValueTableDesc(PlanUtils.getFieldSchemasFromColumnList(valueFilteredCols, "mapjoinvalue"));
valueTableDescs.add(valueTableDesc);
valueFilteredTableDescs.add(valueFilteredTableDesc);
}
Map<Byte, List<ExprNodeDesc>> filters = desc.getFilters();
if (adjustParentsChildren) {
// backtrack and update filter expressions only if RS is to be removed
Map<Byte, List<ExprNodeDesc>> newFilters = new HashMap<Byte, List<ExprNodeDesc>>();
for (Map.Entry<Byte, List<ExprNodeDesc>> entry : filters.entrySet()) {
byte srcTag = entry.getKey();
List<ExprNodeDesc> filter = entry.getValue();
Operator<?> terminal = oldReduceSinkParentOps.get(srcTag);
newFilters.put(srcTag, ExprNodeDescUtils.backtrack(filter, op, terminal));
}
desc.setFilters(filters = newFilters);
}
// create dumpfile prefix needed to create descriptor
String dumpFilePrefix = "";
if (mapAliases != null) {
for (String mapAlias : mapAliases) {
dumpFilePrefix = dumpFilePrefix + mapAlias;
}
dumpFilePrefix = dumpFilePrefix + "-" + PlanUtils.getCountForMapJoinDumpFilePrefix();
} else {
dumpFilePrefix = "mapfile" + PlanUtils.getCountForMapJoinDumpFilePrefix();
}
List<ExprNodeDesc> keyCols = keyExprMap.get((byte) mapJoinPos);
if (keyCols == null) {
return null;
}
List<String> outputColumnNames = op.getConf().getOutputColumnNames();
TableDesc keyTableDesc = PlanUtils.getMapJoinKeyTableDesc(hconf, PlanUtils.getFieldSchemasFromColumnList(keyCols, MAPJOINKEY_FIELDPREFIX));
JoinCondDesc[] joinCondns = op.getConf().getConds();
MapJoinDesc mapJoinDescriptor = new MapJoinDesc(keyExprMap, keyTableDesc, newValueExprs, valueTableDescs, valueFilteredTableDescs, outputColumnNames, mapJoinPos, joinCondns, filters, op.getConf().getNoOuterJoin(), dumpFilePrefix, op.getConf().getMemoryMonitorInfo(), op.getConf().getInMemoryDataSize());
mapJoinDescriptor.setStatistics(op.getConf().getStatistics());
mapJoinDescriptor.setTagOrder(tagOrder);
mapJoinDescriptor.setNullSafes(desc.getNullSafes());
mapJoinDescriptor.setFilterMap(desc.getFilterMap());
mapJoinDescriptor.setResidualFilterExprs(desc.getResidualFilterExprs());
mapJoinDescriptor.setColumnExprMap(colExprMap);
if (!valueIndices.isEmpty()) {
mapJoinDescriptor.setValueIndices(valueIndices);
}
return mapJoinDescriptor;
}
use of org.apache.hadoop.hive.ql.plan.JoinCondDesc in project hive by apache.
the class MapJoinProcessor method precheckFullOuter.
public static boolean precheckFullOuter(HiveConf hiveConf, JoinOperator joinOp) throws SemanticException {
JoinDesc joinDesc = joinOp.getConf();
JoinCondDesc[] conds = joinDesc.getConds();
/*
* Are we even being asked to do a FULL OUTER JOIN?
*/
boolean hasFullOuterJoin = false;
for (JoinCondDesc cond : conds) {
if (cond.getType() == JoinDesc.FULL_OUTER_JOIN) {
hasFullOuterJoin = true;
break;
}
}
if (!hasFullOuterJoin) {
return false;
}
if (conds.length > 1) {
// No multiple condition FULL OUTER MapJoin.
LOG.debug("FULL OUTER MapJoin not enabled: multiple JOIN conditions not supported");
return false;
}
return true;
}
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