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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.exec;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Properties;
import java.util.Set;
import java.util.concurrent.Future;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.metastore.api.hive_metastoreConstants;
import org.apache.hadoop.hive.ql.exec.mr.ExecMapperContext;
import org.apache.hadoop.hive.ql.exec.tez.MapRecordProcessor;
import org.apache.hadoop.hive.ql.io.RecordIdentifier;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.metadata.VirtualColumn;
import org.apache.hadoop.hive.ql.plan.MapWork;
import org.apache.hadoop.hive.ql.plan.OperatorDesc;
import org.apache.hadoop.hive.ql.plan.PartitionDesc;
import org.apache.hadoop.hive.ql.plan.TableDesc;
import org.apache.hadoop.hive.ql.plan.TableScanDesc;
import org.apache.hadoop.hive.ql.plan.api.OperatorType;
import org.apache.hadoop.hive.serde2.Deserializer;
import org.apache.hadoop.hive.serde2.SerDeException;
import org.apache.hadoop.hive.serde2.SerDeStats;
import org.apache.hadoop.hive.serde2.SerDeUtils;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorConverters;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorConverters.Converter;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory;
import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.util.StringUtils;
import com.facebook.presto.hive.$internal.com.google.common.annotations.VisibleForTesting;
/**
* Map operator. This triggers overall map side processing. This is a little
* different from regular operators in that it starts off by processing a
* Writable data structure from a Table (instead of a Hive Object).
**/
@SuppressWarnings("deprecation")
public class MapOperator extends Operator implements Serializable, Cloneable {
private static final long serialVersionUID = 1L;
/**
* Counter.
*
*/
public static enum Counter {
DESERIALIZE_ERRORS,
RECORDS_IN
}
private final transient LongWritable deserialize_error_count = new LongWritable();
private final transient LongWritable recordCounter = new LongWritable();
protected transient long numRows = 0;
protected transient long cntr = 1;
protected transient long logEveryNRows = 0;
// input path --> {operator --> context}
private final Map, MapOpCtx>> opCtxMap =
new HashMap, MapOpCtx>>();
// child operator --> object inspector (converted OI if it's needed)
private final Map, StructObjectInspector> childrenOpToOI =
new HashMap, StructObjectInspector>();
// context for current input file
protected transient MapOpCtx[] currentCtxs;
private transient final Map normalizedPaths = new HashMap();
protected static class MapOpCtx {
final String alias;
final Operator op;
final PartitionDesc partDesc;
StructObjectInspector partObjectInspector; // partition columns
StructObjectInspector vcsObjectInspector; // virtual columns
StructObjectInspector rowObjectInspector;
Converter partTblObjectInspectorConverter;
Object[] rowWithPart;
Object[] rowWithPartAndVC;
Deserializer deserializer;
String tableName;
String partName;
List vcs;
Object[] vcValues;
public MapOpCtx(String alias, Operator op, PartitionDesc partDesc) {
this.alias = alias;
this.op = op;
this.partDesc = partDesc;
}
private boolean isPartitioned() {
return partObjectInspector != null;
}
private boolean hasVC() {
return vcsObjectInspector != null;
}
private Object readRow(Writable value, ExecMapperContext context) throws SerDeException {
Object deserialized = deserializer.deserialize(value);
Object row = partTblObjectInspectorConverter.convert(deserialized);
if (hasVC()) {
rowWithPartAndVC[0] = row;
if (context != null) {
populateVirtualColumnValues(context, vcs, vcValues, deserializer);
}
int vcPos = isPartitioned() ? 2 : 1;
rowWithPartAndVC[vcPos] = vcValues;
return rowWithPartAndVC;
} else if (isPartitioned()) {
rowWithPart[0] = row;
return rowWithPart;
}
return row;
}
public boolean forward(Object row) throws HiveException {
if (op.getDone()) {
return false;
}
op.process(row, 0);
return true;
}
}
/**
* Initializes this map op as the root of the tree. It sets JobConf &
* MapRedWork and starts initialization of the operator tree rooted at this
* op.
*
* @param hconf
* @param mapWork
* @throws HiveException
*/
@VisibleForTesting
void initializeAsRoot(JobConf hconf, MapWork mapWork) throws Exception {
setConf(mapWork);
setChildren(hconf);
passExecContext(new ExecMapperContext(hconf));
initializeMapOperator(hconf);
}
private MapOpCtx initObjectInspector(Configuration hconf, MapOpCtx opCtx,
StructObjectInspector tableRowOI) throws Exception {
PartitionDesc pd = opCtx.partDesc;
TableDesc td = pd.getTableDesc();
// Use table properties in case of unpartitioned tables,
// and the union of table properties and partition properties, with partition
// taking precedence, in the case of partitioned tables
Properties overlayedProps =
SerDeUtils.createOverlayedProperties(td.getProperties(), pd.getProperties());
Map partSpec = pd.getPartSpec();
opCtx.tableName = String.valueOf(overlayedProps.getProperty("name"));
opCtx.partName = String.valueOf(partSpec);
opCtx.deserializer = pd.getDeserializer(hconf);
StructObjectInspector partRawRowObjectInspector =
(StructObjectInspector) opCtx.deserializer.getObjectInspector();
opCtx.partTblObjectInspectorConverter =
ObjectInspectorConverters.getConverter(partRawRowObjectInspector, tableRowOI);
// Next check if this table has partitions and if so
// get the list of partition names as well as allocate
// the serdes for the partition columns
String pcols = overlayedProps.getProperty(hive_metastoreConstants.META_TABLE_PARTITION_COLUMNS);
if (pcols != null && pcols.length() > 0) {
String[] partKeys = pcols.trim().split("/");
String pcolTypes = overlayedProps
.getProperty(hive_metastoreConstants.META_TABLE_PARTITION_COLUMN_TYPES);
String[] partKeyTypes = pcolTypes.trim().split(":");
if (partKeys.length > partKeyTypes.length) {
throw new HiveException("Internal error : partKeys length, " +partKeys.length +
" greater than partKeyTypes length, " + partKeyTypes.length);
}
List partNames = new ArrayList(partKeys.length);
Object[] partValues = new Object[partKeys.length];
List partObjectInspectors = new ArrayList(partKeys.length);
for (int i = 0; i < partKeys.length; i++) {
String key = partKeys[i];
partNames.add(key);
ObjectInspector oi = PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector
(TypeInfoFactory.getPrimitiveTypeInfo(partKeyTypes[i]));
// Partitions do not exist for this table
if (partSpec == null) {
// for partitionless table, initialize partValue to null
partValues[i] = null;
} else {
partValues[i] =
ObjectInspectorConverters.
getConverter(PrimitiveObjectInspectorFactory.
javaStringObjectInspector, oi).convert(partSpec.get(key));
}
partObjectInspectors.add(oi);
}
opCtx.rowWithPart = new Object[] {null, partValues};
opCtx.partObjectInspector = ObjectInspectorFactory
.getStandardStructObjectInspector(partNames, partObjectInspectors);
}
// The op may not be a TableScan for mapjoins
// Consider the query: select /*+MAPJOIN(a)*/ count(*) FROM T1 a JOIN T2 b ON a.key = b.key;
// In that case, it will be a Select, but the rowOI need not be amended
if (opCtx.op instanceof TableScanOperator) {
TableScanOperator tsOp = (TableScanOperator) opCtx.op;
TableScanDesc tsDesc = tsOp.getConf();
if (tsDesc != null && tsDesc.hasVirtualCols()) {
opCtx.vcs = tsDesc.getVirtualCols();
opCtx.vcValues = new Object[opCtx.vcs.size()];
opCtx.vcsObjectInspector = VirtualColumn.getVCSObjectInspector(opCtx.vcs);
if (opCtx.isPartitioned()) {
opCtx.rowWithPartAndVC = Arrays.copyOfRange(opCtx.rowWithPart, 0, 3);
} else {
opCtx.rowWithPartAndVC = new Object[2];
}
}
}
if (!opCtx.hasVC() && !opCtx.isPartitioned()) {
opCtx.rowObjectInspector = tableRowOI;
return opCtx;
}
List inspectors = new ArrayList();
inspectors.add(tableRowOI);
if (opCtx.isPartitioned()) {
inspectors.add(opCtx.partObjectInspector);
}
if (opCtx.hasVC()) {
inspectors.add(opCtx.vcsObjectInspector);
}
opCtx.rowObjectInspector = ObjectInspectorFactory.getUnionStructObjectInspector(inspectors);
return opCtx;
}
// Return the mapping for table descriptor to the expected table OI
/**
* Traverse all the partitions for a table, and get the OI for the table.
* Note that a conversion is required if any of the partition OI is different
* from the table OI. For eg. if the query references table T (partitions P1, P2),
* and P1's schema is same as T, whereas P2's scheme is different from T, conversion
* might be needed for both P1 and P2, since SettableOI might be needed for T
*/
private Map getConvertedOI(Configuration hconf)
throws HiveException {
Map tableDescOI =
new HashMap();
Set identityConverterTableDesc = new HashSet();
try {
Map oiSettableProperties = new HashMap();
for (String onefile : conf.getPathToAliases().keySet()) {
PartitionDesc pd = conf.getPathToPartitionInfo().get(onefile);
TableDesc tableDesc = pd.getTableDesc();
Deserializer partDeserializer = pd.getDeserializer(hconf);
StructObjectInspector partRawRowObjectInspector =
(StructObjectInspector) partDeserializer.getObjectInspector();
StructObjectInspector tblRawRowObjectInspector = tableDescOI.get(tableDesc);
if ((tblRawRowObjectInspector == null) ||
(identityConverterTableDesc.contains(tableDesc))) {
Deserializer tblDeserializer = tableDesc.getDeserializer(hconf);
tblRawRowObjectInspector =
(StructObjectInspector) ObjectInspectorConverters.getConvertedOI(
partRawRowObjectInspector,
tblDeserializer.getObjectInspector(), oiSettableProperties);
if (identityConverterTableDesc.contains(tableDesc)) {
if (!partRawRowObjectInspector.equals(tblRawRowObjectInspector)) {
identityConverterTableDesc.remove(tableDesc);
}
}
else if (partRawRowObjectInspector.equals(tblRawRowObjectInspector)) {
identityConverterTableDesc.add(tableDesc);
}
tableDescOI.put(tableDesc, tblRawRowObjectInspector);
}
}
} catch (Exception e) {
throw new HiveException(e);
}
return tableDescOI;
}
public void setChildren(Configuration hconf) throws Exception {
List> children =
new ArrayList>();
Map convertedOI = getConvertedOI(hconf);
for (Map.Entry> entry : conf.getPathToAliases().entrySet()) {
String onefile = entry.getKey();
List aliases = entry.getValue();
PartitionDesc partDesc = conf.getPathToPartitionInfo().get(onefile);
for (String alias : aliases) {
Operator op = conf.getAliasToWork().get(alias);
if (isLogDebugEnabled) {
LOG.debug("Adding alias " + alias + " to work list for file "
+ onefile);
}
Map, MapOpCtx> contexts = opCtxMap.get(onefile);
if (contexts == null) {
opCtxMap.put(onefile, contexts = new LinkedHashMap, MapOpCtx>());
}
if (contexts.containsKey(op)) {
continue;
}
MapOpCtx context = new MapOpCtx(alias, op, partDesc);
StructObjectInspector tableRowOI = convertedOI.get(partDesc.getTableDesc());
contexts.put(op, initObjectInspector(hconf, context, tableRowOI));
if (children.contains(op) == false) {
op.setParentOperators(new ArrayList>(1));
op.getParentOperators().add(this);
children.add(op);
}
}
}
initOperatorContext(children);
// we found all the operators that we are supposed to process.
setChildOperators(children);
}
private void initOperatorContext(List> children)
throws HiveException {
for (Map, MapOpCtx> contexts : opCtxMap.values()) {
for (MapOpCtx context : contexts.values()) {
if (!children.contains(context.op)) {
continue;
}
StructObjectInspector prev =
childrenOpToOI.put(context.op, context.rowObjectInspector);
if (prev != null && !prev.equals(context.rowObjectInspector)) {
throw new HiveException("Conflict on row inspector for " + context.alias);
}
if (isLogDebugEnabled) {
LOG.debug("dump " + context.op + " " + context.rowObjectInspector.getTypeName());
}
}
}
}
private String getNominalPath(Path fpath) {
String nominal = null;
boolean schemaless = fpath.toUri().getScheme() == null;
for (String onefile : conf.getPathToAliases().keySet()) {
Path onepath = normalizePath(onefile, schemaless);
Path curfpath = fpath;
if(!schemaless && onepath.toUri().getScheme() == null) {
curfpath = new Path(fpath.toUri().getPath());
}
// check for the operators who will process rows coming to this Map Operator
if (onepath.toUri().relativize(curfpath.toUri()).equals(curfpath.toUri())) {
// not from this
continue;
}
if (nominal != null) {
throw new IllegalStateException("Ambiguous input path " + fpath);
}
nominal = onefile;
}
if (nominal == null) {
throw new IllegalStateException("Invalid input path " + fpath);
}
return nominal;
}
@Override
public Collection> initializeOp(Configuration hconf) throws HiveException {
return super.initializeOp(hconf);
}
public void initializeMapOperator(Configuration hconf) throws HiveException {
// set that parent initialization is done and call initialize on children
state = State.INIT;
statsMap.put(Counter.DESERIALIZE_ERRORS.toString(), deserialize_error_count);
numRows = 0;
cntr = 1;
logEveryNRows = HiveConf.getLongVar(hconf, HiveConf.ConfVars.HIVE_LOG_N_RECORDS);
String context = hconf.get(Operator.CONTEXT_NAME_KEY, "");
if (context != null && !context.isEmpty()) {
context = "_" + context.replace(" ","_");
}
statsMap.put(Counter.RECORDS_IN + context, recordCounter);
for (Entry, StructObjectInspector> entry : childrenOpToOI.entrySet()) {
Operator child = entry.getKey();
child.initialize(hconf, new ObjectInspector[] {entry.getValue()});
}
}
@Override
public void closeOp(boolean abort) throws HiveException {
recordCounter.set(numRows);
super.closeOp(abort);
}
// Find context for current input file
@Override
public void cleanUpInputFileChangedOp() throws HiveException {
super.cleanUpInputFileChangedOp();
Path fpath = getExecContext().getCurrentInputPath();
String nominalPath = getNominalPath(fpath);
Map, MapOpCtx> contexts = opCtxMap.get(nominalPath);
if (isLogInfoEnabled) {
StringBuilder builder = new StringBuilder();
for (MapOpCtx context : contexts.values()) {
if (builder.length() > 0) {
builder.append(", ");
}
builder.append(context.alias);
}
if (isLogDebugEnabled) {
LOG.debug("Processing alias(es) " + builder.toString() + " for file " + fpath);
}
}
// Add alias, table name, and partitions to hadoop conf so that their
// children will inherit these
for (Entry, MapOpCtx> entry : contexts.entrySet()) {
Operator operator = entry.getKey();
MapOpCtx context = entry.getValue();
operator.setInputContext(nominalPath, context.tableName, context.partName);
}
currentCtxs = contexts.values().toArray(new MapOpCtx[contexts.size()]);
}
private Path normalizePath(String onefile, boolean schemaless) {
//creating Path is expensive, so cache the corresponding
//Path object in normalizedPaths
Path path = normalizedPaths.get(onefile);
if (path == null) {
path = new Path(onefile);
if (schemaless && path.toUri().getScheme() != null) {
path = new Path(path.toUri().getPath());
}
normalizedPaths.put(onefile, path);
}
return path;
}
public void process(Writable value) throws HiveException {
// A mapper can span multiple files/partitions.
// The serializers need to be reset if the input file changed
ExecMapperContext context = getExecContext();
if (context != null && context.inputFileChanged()) {
// The child operators cleanup if input file has changed
cleanUpInputFileChanged();
}
int childrenDone = 0;
for (MapOpCtx current : currentCtxs) {
Object row = null;
try {
row = current.readRow(value, context);
if (!current.forward(row)) {
childrenDone++;
}
} catch (Exception e) {
// TODO: policy on deserialization errors
String message = toErrorMessage(value, row, current.rowObjectInspector);
if (row == null) {
deserialize_error_count.set(deserialize_error_count.get() + 1);
throw new HiveException("Hive Runtime Error while processing writable " + message, e);
}
throw new HiveException("Hive Runtime Error while processing row " + message, e);
}
}
rowsForwarded(childrenDone, 1);
}
protected final void rowsForwarded(int childrenDone, int rows) {
numRows += rows;
if (isLogInfoEnabled) {
while (numRows >= cntr) {
cntr = logEveryNRows == 0 ? cntr * 10 : numRows + logEveryNRows;
if (cntr < 0 || numRows < 0) {
cntr = 1;
numRows = 0;
}
LOG.info(toString() + ": records read - " + numRows);
}
}
if (childrenDone == currentCtxs.length) {
setDone(true);
}
}
private String toErrorMessage(Writable value, Object row, ObjectInspector inspector) {
try {
if (row != null) {
return SerDeUtils.getJSONString(row, inspector);
}
return String.valueOf(value);
} catch (Exception e) {
return "[Error getting row data with exception " + StringUtils.stringifyException(e) + " ]";
}
}
public static Object[] populateVirtualColumnValues(ExecMapperContext ctx,
List vcs, Object[] vcValues, Deserializer deserializer) {
if (vcs == null) {
return vcValues;
}
if (vcValues == null) {
vcValues = new Object[vcs.size()];
}
for (int i = 0; i < vcs.size(); i++) {
VirtualColumn vc = vcs.get(i);
if (vc.equals(VirtualColumn.FILENAME)) {
if (ctx.inputFileChanged()) {
vcValues[i] = new Text(ctx.getCurrentInputPath().toString());
}
} else if (vc.equals(VirtualColumn.BLOCKOFFSET)) {
long current = ctx.getIoCxt().getCurrentBlockStart();
LongWritable old = (LongWritable) vcValues[i];
if (old == null) {
old = new LongWritable(current);
vcValues[i] = old;
continue;
}
if (current != old.get()) {
old.set(current);
}
} else if (vc.equals(VirtualColumn.ROWOFFSET)) {
long current = ctx.getIoCxt().getCurrentRow();
LongWritable old = (LongWritable) vcValues[i];
if (old == null) {
old = new LongWritable(current);
vcValues[i] = old;
continue;
}
if (current != old.get()) {
old.set(current);
}
} else if (vc.equals(VirtualColumn.RAWDATASIZE)) {
long current = 0L;
SerDeStats stats = deserializer.getSerDeStats();
if(stats != null) {
current = stats.getRawDataSize();
}
LongWritable old = (LongWritable) vcValues[i];
if (old == null) {
old = new LongWritable(current);
vcValues[i] = old;
continue;
}
if (current != old.get()) {
old.set(current);
}
}
else if(vc.equals(VirtualColumn.ROWID)) {
if(ctx.getIoCxt().getRecordIdentifier() == null) {
vcValues[i] = null;
}
else {
if(vcValues[i] == null) {
vcValues[i] = new Object[RecordIdentifier.Field.values().length];
}
RecordIdentifier.StructInfo.toArray(ctx.getIoCxt().getRecordIdentifier(), (Object[])vcValues[i]);
ctx.getIoCxt().setRecordIdentifier(null);//so we don't accidentally cache the value; shouldn't
//happen since IO layer either knows how to produce ROW__ID or not - but to be safe
}
}
}
return vcValues;
}
@Override
public void process(Object row, int tag) throws HiveException {
throw new HiveException("Hive 2 Internal error: should not be called!");
}
@Override
public String getName() {
return getOperatorName();
}
static public String getOperatorName() {
return "MAP";
}
@Override
public OperatorType getType() {
return null;
}
public void initializeContexts() {
Path fpath = getExecContext().getCurrentInputPath();
String nominalPath = getNominalPath(fpath);
Map, MapOpCtx> contexts = opCtxMap.get(nominalPath);
currentCtxs = contexts.values().toArray(new MapOpCtx[contexts.size()]);
}
public Deserializer getCurrentDeserializer() {
return currentCtxs[0].deserializer;
}
}
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