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/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.hadoop.hive.ql.optimizer.ppr;
import java.util.AbstractSequentialList;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.LinkedHashSet;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.util.Set;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.hive.common.ObjectPair;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.metastore.IMetaStoreClient;
import org.apache.hadoop.hive.metastore.Warehouse;
import org.apache.hadoop.hive.metastore.api.FieldSchema;
import org.apache.hadoop.hive.metastore.api.MetaException;
import org.apache.hadoop.hive.ql.ErrorMsg;
import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator;
import org.apache.hadoop.hive.ql.exec.FunctionRegistry;
import org.apache.hadoop.hive.ql.exec.TableScanOperator;
import org.apache.hadoop.hive.ql.log.PerfLogger;
import org.apache.hadoop.hive.ql.metadata.Hive;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.metadata.Partition;
import org.apache.hadoop.hive.ql.metadata.Table;
import org.apache.hadoop.hive.ql.optimizer.PrunerUtils;
import org.apache.hadoop.hive.ql.optimizer.Transform;
import org.apache.hadoop.hive.ql.parse.ParseContext;
import org.apache.hadoop.hive.ql.parse.PrunedPartitionList;
import org.apache.hadoop.hive.ql.parse.SemanticException;
import org.apache.hadoop.hive.ql.plan.ExprNodeColumnDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeConstantDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDF;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPAnd;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPOr;
import org.apache.hadoop.hive.serde.serdeConstants;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorConverters;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
/**
* The transformation step that does partition pruning.
*
*/
public class PartitionPruner implements Transform {
// The log
public static final String CLASS_NAME = PartitionPruner.class.getName();
public static final Log LOG = LogFactory.getLog(CLASS_NAME);
/*
* (non-Javadoc)
*
* @see
* org.apache.hadoop.hive.ql.optimizer.Transform#transform(org.apache.hadoop
* .hive.ql.parse.ParseContext)
*/
@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
// create a the context for walking operators
OpWalkerCtx opWalkerCtx = new OpWalkerCtx(pctx.getOpToPartPruner());
/* Move logic to PrunerUtils.walkOperatorTree() so that it can be reused. */
PrunerUtils.walkOperatorTree(pctx, opWalkerCtx, OpProcFactory.getFilterProc(),
OpProcFactory.getDefaultProc());
return pctx;
}
/**
* Find out whether the condition only contains partitioned columns. Note that
* if the table is not partitioned, the function always returns true.
* condition.
*
* @param tab
* the table object
* @param expr
* the pruner expression for the table
*/
public static boolean onlyContainsPartnCols(Table tab, ExprNodeDesc expr) {
if (!tab.isPartitioned() || (expr == null)) {
return true;
}
if (expr instanceof ExprNodeColumnDesc) {
String colName = ((ExprNodeColumnDesc) expr).getColumn();
return tab.isPartitionKey(colName);
}
// It cannot contain a non-deterministic function
if ((expr instanceof ExprNodeGenericFuncDesc)
&& !FunctionRegistry.isDeterministic(((ExprNodeGenericFuncDesc) expr)
.getGenericUDF())) {
return false;
}
// All columns of the expression must be partitioned columns
List children = expr.getChildren();
if (children != null) {
for (int i = 0; i < children.size(); i++) {
if (!onlyContainsPartnCols(tab, children.get(i))) {
return false;
}
}
}
return true;
}
/**
* Get the partition list for the TS operator that satisfies the partition pruner
* condition.
*/
public static PrunedPartitionList prune(TableScanOperator ts, ParseContext parseCtx,
String alias) throws SemanticException {
return prune(ts.getConf().getTableMetadata(), parseCtx.getOpToPartPruner().get(ts),
parseCtx.getConf(), alias, parseCtx.getPrunedPartitions());
}
/**
* Get the partition list for the table that satisfies the partition pruner
* condition.
*
* @param tab
* the table object for the alias
* @param prunerExpr
* the pruner expression for the alias
* @param conf
* for checking whether "strict" mode is on.
* @param alias
* for generating error message only.
* @param prunedPartitionsMap
* cached result for the table
* @return the partition list for the table that satisfies the partition
* pruner condition.
* @throws SemanticException
*/
public static PrunedPartitionList prune(Table tab, ExprNodeDesc prunerExpr,
HiveConf conf, String alias, Map prunedPartitionsMap)
throws SemanticException {
if (LOG.isTraceEnabled()) {
LOG.trace("Started pruning partiton");
LOG.trace("dbname = " + tab.getDbName());
LOG.trace("tabname = " + tab.getTableName());
LOG.trace("prune Expression = " + (prunerExpr == null ? "" : prunerExpr));
}
String key = tab.getDbName() + "." + tab.getTableName() + ";";
if (!tab.isPartitioned()) {
// If the table is not partitioned, return empty list.
return getAllPartsFromCacheOrServer(tab, key, false, prunedPartitionsMap);
}
if ("strict".equalsIgnoreCase(HiveConf.getVar(conf, HiveConf.ConfVars.HIVEMAPREDMODE))
&& !hasColumnExpr(prunerExpr)) {
// If the "strict" mode is on, we have to provide partition pruner for each table.
throw new SemanticException(ErrorMsg.NO_PARTITION_PREDICATE
.getMsg("for Alias \"" + alias + "\" Table \"" + tab.getTableName() + "\""));
}
if (prunerExpr == null) {
// In non-strict mode and there is no predicates at all - get everything.
return getAllPartsFromCacheOrServer(tab, key, false, prunedPartitionsMap);
}
Set partColsUsedInFilter = new LinkedHashSet();
// Replace virtual columns with nulls. See javadoc for details.
prunerExpr = removeNonPartCols(prunerExpr, extractPartColNames(tab), partColsUsedInFilter);
// Remove all parts that are not partition columns. See javadoc for details.
ExprNodeDesc compactExpr = compactExpr(prunerExpr.clone());
String oldFilter = prunerExpr.getExprString();
if (compactExpr == null || isBooleanExpr(compactExpr)) {
if (isFalseExpr(compactExpr)) {
return new PrunedPartitionList(
tab, new LinkedHashSet(0), new ArrayList(0), false);
}
// For null and true values, return every partition
return getAllPartsFromCacheOrServer(tab, key, true, prunedPartitionsMap);
}
if (LOG.isDebugEnabled()) {
LOG.debug("Filter w/ compacting: " + compactExpr.getExprString()
+ "; filter w/o compacting: " + oldFilter);
}
key = key + compactExpr.getExprString();
PrunedPartitionList ppList = prunedPartitionsMap.get(key);
if (ppList != null) {
return ppList;
}
ppList = getPartitionsFromServer(tab, (ExprNodeGenericFuncDesc)compactExpr, conf, alias, partColsUsedInFilter, oldFilter.equals(compactExpr.getExprString()));
prunedPartitionsMap.put(key, ppList);
return ppList;
}
private static PrunedPartitionList getAllPartsFromCacheOrServer(Table tab, String key, boolean unknownPartitions,
Map partsCache) throws SemanticException {
PrunedPartitionList ppList = partsCache.get(key);
if (ppList != null) {
return ppList;
}
Set parts;
try {
parts = getAllPartitions(tab);
} catch (HiveException e) {
throw new SemanticException(e);
}
ppList = new PrunedPartitionList(tab, parts, null, unknownPartitions);
partsCache.put(key, ppList);
return ppList;
}
static private boolean isBooleanExpr(ExprNodeDesc expr) {
return expr != null && expr instanceof ExprNodeConstantDesc &&
((ExprNodeConstantDesc)expr).getTypeInfo() instanceof PrimitiveTypeInfo &&
((PrimitiveTypeInfo)(((ExprNodeConstantDesc)expr).getTypeInfo())).
getTypeName().equals(serdeConstants.BOOLEAN_TYPE_NAME);
}
static private boolean isTrueExpr(ExprNodeDesc expr) {
return isBooleanExpr(expr) &&
((ExprNodeConstantDesc)expr).getValue() != null &&
((ExprNodeConstantDesc)expr).getValue().equals(Boolean.TRUE);
}
static private boolean isFalseExpr(ExprNodeDesc expr) {
return isBooleanExpr(expr) &&
((ExprNodeConstantDesc)expr).getValue() != null &&
((ExprNodeConstantDesc)expr).getValue().equals(Boolean.FALSE);
}
/**
* Taking a partition pruning expression, remove the null operands and non-partition columns.
* The reason why there are null operands is ExprProcFactory classes, for example
* PPRColumnExprProcessor.
* @param expr original partition pruning expression.
* @return partition pruning expression that only contains partition columns.
*/
static private ExprNodeDesc compactExpr(ExprNodeDesc expr) {
// If this is a constant boolean expression, return the value.
if (expr == null) {
return null;
}
if (expr instanceof ExprNodeConstantDesc) {
if (((ExprNodeConstantDesc)expr).getValue() == null) return null;
if (!isBooleanExpr(expr)) {
throw new IllegalStateException("Unexpected non-boolean ExprNodeConstantDesc: "
+ expr.getExprString());
}
return expr;
} else if (expr instanceof ExprNodeGenericFuncDesc) {
GenericUDF udf = ((ExprNodeGenericFuncDesc)expr).getGenericUDF();
boolean isAnd = udf instanceof GenericUDFOPAnd;
boolean isOr = udf instanceof GenericUDFOPOr;
if (isAnd || isOr) {
List children = expr.getChildren();
ExprNodeDesc left = compactExpr(children.get(0));
ExprNodeDesc right = compactExpr(children.get(1));
// Non-partition expressions are converted to nulls.
if (left == null && right == null) {
return null;
} else if (left == null) {
return isAnd ? right : null;
} else if (right == null) {
return isAnd ? left : null;
}
// Handle boolean expressions
boolean isLeftFalse = isFalseExpr(left), isRightFalse = isFalseExpr(right),
isLeftTrue = isTrueExpr(left), isRightTrue = isTrueExpr(right);
if ((isRightTrue && isLeftTrue) || (isOr && (isLeftTrue || isRightTrue))) {
return new ExprNodeConstantDesc(Boolean.TRUE);
} else if ((isRightFalse && isLeftFalse) || (isAnd && (isLeftFalse || isRightFalse))) {
return new ExprNodeConstantDesc(Boolean.FALSE);
} else if ((isAnd && isLeftTrue) || (isOr && isLeftFalse)) {
return right;
} else if ((isAnd && isRightTrue) || (isOr && isRightFalse)) {
return left;
}
// Nothing to compact, update expr with compacted children.
children.set(0, left);
children.set(1, right);
}
return expr;
} else {
throw new IllegalStateException("Unexpected type of ExprNodeDesc: " + expr.getExprString());
}
}
/**
* See compactExpr. Some things in the expr are replaced with nulls for pruner, however
* the virtual columns are not removed (ExprNodeColumnDesc cannot tell them apart from
* partition columns), so we do it here.
* The expression is only used to prune by partition name, so we have no business with VCs.
* @param expr original partition pruning expression.
* @param partCols list of partition columns for the table.
* @param referred partition columns referred by expr
* @return partition pruning expression that only contains partition columns from the list.
*/
static private ExprNodeDesc removeNonPartCols(ExprNodeDesc expr, List partCols,
Set referred) {
if (expr instanceof ExprNodeColumnDesc) {
String column = ((ExprNodeColumnDesc) expr).getColumn();
if (!partCols.contains(column)) {
// Column doesn't appear to be a partition column for the table.
return new ExprNodeConstantDesc(expr.getTypeInfo(), null);
}
referred.add(column);
}
if (expr instanceof ExprNodeGenericFuncDesc) {
List children = expr.getChildren();
for (int i = 0; i < children.size(); ++i) {
children.set(i, removeNonPartCols(children.get(i), partCols, referred));
}
}
return expr;
}
/**
* @param expr Expression.
* @return True iff expr contains any non-native user-defined functions.
*/
static private boolean hasUserFunctions(ExprNodeDesc expr) {
if (!(expr instanceof ExprNodeGenericFuncDesc)) {
return false;
}
if (!FunctionRegistry.isBuiltInFuncExpr((ExprNodeGenericFuncDesc) expr)) {
return true;
}
for (ExprNodeDesc child : expr.getChildren()) {
if (hasUserFunctions(child)) {
return true;
}
}
return false;
}
private static PrunedPartitionList getPartitionsFromServer(Table tab,
final ExprNodeGenericFuncDesc compactExpr, HiveConf conf, String alias, Set partColsUsedInFilter, boolean isPruningByExactFilter) throws SemanticException {
try {
// Finally, check the filter for non-built-in UDFs. If these are present, we cannot
// do filtering on the server, and have to fall back to client path.
boolean doEvalClientSide = hasUserFunctions(compactExpr);
// Now filter.
List partitions = new ArrayList();
boolean hasUnknownPartitions = false;
PerfLogger perfLogger = PerfLogger.getPerfLogger();
if (!doEvalClientSide) {
perfLogger.PerfLogBegin(CLASS_NAME, PerfLogger.PARTITION_RETRIEVING);
try {
hasUnknownPartitions = Hive.get().getPartitionsByExpr(
tab, compactExpr, conf, partitions);
} catch (IMetaStoreClient.IncompatibleMetastoreException ime) {
// TODO: backward compat for Hive <= 0.12. Can be removed later.
LOG.warn("Metastore doesn't support getPartitionsByExpr", ime);
doEvalClientSide = true;
} finally {
perfLogger.PerfLogEnd(CLASS_NAME, PerfLogger.PARTITION_RETRIEVING);
}
}
if (doEvalClientSide) {
// Either we have user functions, or metastore is old version - filter names locally.
hasUnknownPartitions = pruneBySequentialScan(tab, partitions, compactExpr, conf);
}
// The partitions are "unknown" if the call says so due to the expression
// evaluator returning null for a partition, or if we sent a partial expression to
// metastore and so some partitions may have no data based on other filters.
return new PrunedPartitionList(tab, new LinkedHashSet(partitions),
new ArrayList(partColsUsedInFilter),
hasUnknownPartitions || !isPruningByExactFilter);
} catch (SemanticException e) {
throw e;
} catch (Exception e) {
throw new SemanticException(e);
}
}
private static Set getAllPartitions(Table tab) throws HiveException {
PerfLogger perfLogger = PerfLogger.getPerfLogger();
perfLogger.PerfLogBegin(CLASS_NAME, PerfLogger.PARTITION_RETRIEVING);
Set result = Hive.get().getAllPartitionsOf(tab);
perfLogger.PerfLogEnd(CLASS_NAME, PerfLogger.PARTITION_RETRIEVING);
return result;
}
/**
* Pruning partition by getting the partition names first and pruning using Hive expression
* evaluator on client.
* @param tab the table containing the partitions.
* @param partitions the resulting partitions.
* @param prunerExpr the SQL predicate that involves partition columns.
* @param conf Hive Configuration object, can not be NULL.
* @return true iff the partition pruning expression contains non-partition columns.
*/
static private boolean pruneBySequentialScan(Table tab, List partitions,
ExprNodeGenericFuncDesc prunerExpr, HiveConf conf) throws HiveException, MetaException {
PerfLogger perfLogger = PerfLogger.getPerfLogger();
perfLogger.PerfLogBegin(CLASS_NAME, PerfLogger.PRUNE_LISTING);
List partNames = Hive.get().getPartitionNames(
tab.getDbName(), tab.getTableName(), (short) -1);
String defaultPartitionName = conf.getVar(HiveConf.ConfVars.DEFAULTPARTITIONNAME);
List partCols = extractPartColNames(tab);
List partColTypeInfos = extractPartColTypes(tab);
boolean hasUnknownPartitions = prunePartitionNames(
partCols, partColTypeInfos, prunerExpr, defaultPartitionName, partNames);
perfLogger.PerfLogEnd(CLASS_NAME, PerfLogger.PRUNE_LISTING);
perfLogger.PerfLogBegin(CLASS_NAME, PerfLogger.PARTITION_RETRIEVING);
if (!partNames.isEmpty()) {
partitions.addAll(Hive.get().getPartitionsByNames(tab, partNames));
}
perfLogger.PerfLogEnd(CLASS_NAME, PerfLogger.PARTITION_RETRIEVING);
return hasUnknownPartitions;
}
private static List extractPartColNames(Table tab) {
List pCols = tab.getPartCols();
List partCols = new ArrayList(pCols.size());
for (FieldSchema pCol : pCols) {
partCols.add(pCol.getName());
}
return partCols;
}
private static List extractPartColTypes(Table tab) {
List pCols = tab.getPartCols();
List partColTypeInfos = new ArrayList(pCols.size());
for (FieldSchema pCol : pCols) {
partColTypeInfos.add(TypeInfoFactory.getPrimitiveTypeInfo(pCol.getType()));
}
return partColTypeInfos;
}
/**
* Prunes partition names to see if they match the prune expression.
* @param partColumnNames name of partition columns
* @param partColumnTypeInfos types of partition columns
* @param prunerExpr The expression to match.
* @param defaultPartitionName name of default partition
* @param partNames Partition names to filter. The list is modified in place.
* @return Whether the list has any partitions for which the expression may or may not match.
*/
public static boolean prunePartitionNames(List partColumnNames,
List partColumnTypeInfos, ExprNodeGenericFuncDesc prunerExpr,
String defaultPartitionName, List partNames) throws HiveException, MetaException {
// Prepare the expression to filter on the columns.
ObjectPair handle =
PartExprEvalUtils.prepareExpr(prunerExpr, partColumnNames, partColumnTypeInfos);
// Filter the name list. Removing elements one by one can be slow on e.g. ArrayList,
// so let's create a new list and copy it if we don't have a linked list
boolean inPlace = partNames instanceof AbstractSequentialList;
List partNamesSeq = inPlace ? partNames : new LinkedList(partNames);
// Array for the values to pass to evaluator.
ArrayList values = new ArrayList(partColumnNames.size());
for (int i = 0; i < partColumnNames.size(); ++i) {
values.add(null);
}
boolean hasUnknownPartitions = false;
Iterator partIter = partNamesSeq.iterator();
while (partIter.hasNext()) {
String partName = partIter.next();
Warehouse.makeValsFromName(partName, values);
ArrayList
