org.apache.hadoop.hive.ql.exec.MapOperator Maven / Gradle / Ivy
/**
* 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.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 org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.metadata.VirtualColumn;
import org.apache.hadoop.hive.ql.plan.MapredWork;
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.PrimitiveTypeInfo;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.util.StringUtils;
/**
* 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).
**/
public class MapOperator extends Operator implements Serializable, Cloneable {
private static final long serialVersionUID = 1L;
/**
* Counter.
*
*/
public static enum Counter {
DESERIALIZE_ERRORS
}
private final transient LongWritable deserialize_error_count = new LongWritable();
private transient Deserializer deserializer;
private transient Object[] rowWithPart;
private transient Writable[] vcValues;
private transient List vcs;
private transient Object[] rowWithPartAndVC;
private transient StructObjectInspector tblRowObjectInspector;
// convert from partition to table schema
private transient Converter partTblObjectInspectorConverter;
private transient boolean isPartitioned;
private Map opCtxMap;
private final Set listInputPaths = new HashSet();
private Map, ArrayList> operatorToPaths;
private final Map, MapOpCtx> childrenOpToOpCtxMap =
new HashMap, MapOpCtx>();
private ArrayList> extraChildrenToClose = null;
private static class MapInputPath {
String path;
String alias;
Operator op;
/**
* @param path
* @param alias
* @param op
*/
public MapInputPath(String path, String alias,
Operator op) {
this.path = path;
this.alias = alias;
this.op = op;
}
@Override
public boolean equals(Object o) {
if (o instanceof MapInputPath) {
MapInputPath mObj = (MapInputPath) o;
return path.equals(mObj.path) && alias.equals(mObj.alias)
&& op.equals(mObj.op);
}
return false;
}
@Override
public int hashCode() {
int ret = (path == null) ? 0 : path.hashCode();
ret += (alias == null) ? 0 : alias.hashCode();
ret += (op == null) ? 0 : op.hashCode();
return ret;
}
public Operator getOp() {
return op;
}
public void setOp(Operator op) {
this.op = op;
}
}
private static class MapOpCtx {
private final boolean isPartitioned;
private final StructObjectInspector tblRawRowObjectInspector; // without partition
private final StructObjectInspector partObjectInspector; // partition
private StructObjectInspector rowObjectInspector;
private final Converter partTblObjectInspectorConverter;
private final Object[] rowWithPart;
private Object[] rowWithPartAndVC;
private final Deserializer deserializer;
private String tableName;
private String partName;
/**
* @param isPartitioned
* @param rowObjectInspector
* @param rowWithPart
*/
public MapOpCtx(boolean isPartitioned,
StructObjectInspector rowObjectInspector,
StructObjectInspector tblRawRowObjectInspector,
StructObjectInspector partObjectInspector,
Object[] rowWithPart,
Object[] rowWithPartAndVC,
Deserializer deserializer,
Converter partTblObjectInspectorConverter) {
this.isPartitioned = isPartitioned;
this.rowObjectInspector = rowObjectInspector;
this.tblRawRowObjectInspector = tblRawRowObjectInspector;
this.partObjectInspector = partObjectInspector;
this.rowWithPart = rowWithPart;
this.rowWithPartAndVC = rowWithPartAndVC;
this.deserializer = deserializer;
this.partTblObjectInspectorConverter = partTblObjectInspectorConverter;
}
/**
* @return the isPartitioned
*/
public boolean isPartitioned() {
return isPartitioned;
}
/**
* @return the rowObjectInspector
*/
public StructObjectInspector getRowObjectInspector() {
return rowObjectInspector;
}
public StructObjectInspector getTblRawRowObjectInspector() {
return tblRawRowObjectInspector;
}
/**
* @return the rowWithPart
*/
public Object[] getRowWithPart() {
return rowWithPart;
}
/**
* @return the rowWithPartAndVC
*/
public Object[] getRowWithPartAndVC() {
return rowWithPartAndVC;
}
/**
* @return the deserializer
*/
public Deserializer getDeserializer() {
return deserializer;
}
public Converter getPartTblObjectInspectorConverter() {
return partTblObjectInspectorConverter;
}
}
/**
* 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 mrwork
* @throws HiveException
*/
public void initializeAsRoot(Configuration hconf, MapredWork mrwork)
throws HiveException {
setConf(mrwork);
setChildren(hconf);
initialize(hconf, null);
}
private MapOpCtx initObjectInspector(MapredWork conf,
Configuration hconf, String onefile, Map convertedOI)
throws HiveException,
ClassNotFoundException, InstantiationException, IllegalAccessException,
SerDeException {
PartitionDesc pd = conf.getPathToPartitionInfo().get(onefile);
LinkedHashMap partSpec = pd.getPartSpec();
// Use tblProps in case of unpartitioned tables
Properties partProps =
(pd.getPartSpec() == null || pd.getPartSpec().isEmpty()) ?
pd.getTableDesc().getProperties() : pd.getProperties();
Class serdeclass = pd.getDeserializerClass();
if (serdeclass == null) {
String className = pd.getSerdeClassName();
if ((className == null) || (className.isEmpty())) {
throw new HiveException(
"SerDe class or the SerDe class name is not set for table: "
+ pd.getProperties().getProperty("name"));
}
serdeclass = hconf.getClassByName(className);
}
String tableName = String.valueOf(partProps.getProperty("name"));
String partName = String.valueOf(partSpec);
Deserializer partDeserializer = (Deserializer) serdeclass.newInstance();
partDeserializer.initialize(hconf, partProps);
StructObjectInspector partRawRowObjectInspector = (StructObjectInspector) partDeserializer
.getObjectInspector();
StructObjectInspector tblRawRowObjectInspector = convertedOI.get(pd.getTableDesc());
partTblObjectInspectorConverter =
ObjectInspectorConverters.getConverter(partRawRowObjectInspector,
tblRawRowObjectInspector);
MapOpCtx opCtx = null;
// 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 = partProps
.getProperty(org.apache.hadoop.hive.metastore.api.hive_metastoreConstants.META_TABLE_PARTITION_COLUMNS);
// Log LOG = LogFactory.getLog(MapOperator.class.getName());
if (pcols != null && pcols.length() > 0) {
String[] partKeys = pcols.trim().split("/");
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);
// Partitions do not exist for this table
if (partSpec == null) {
// for partitionless table, initialize partValue to null
partValues[i] = null;
} else {
partValues[i] = new Text(partSpec.get(key));
}
partObjectInspectors
.add(PrimitiveObjectInspectorFactory.writableStringObjectInspector);
}
StructObjectInspector partObjectInspector = ObjectInspectorFactory
.getStandardStructObjectInspector(partNames, partObjectInspectors);
Object[] rowWithPart = new Object[2];
rowWithPart[1] = partValues;
StructObjectInspector rowObjectInspector = ObjectInspectorFactory
.getUnionStructObjectInspector(Arrays
.asList(new StructObjectInspector[] {tblRawRowObjectInspector, partObjectInspector}));
// LOG.info("dump " + tableName + " " + partName + " " +
// rowObjectInspector.getTypeName());
opCtx = new MapOpCtx(true, rowObjectInspector, tblRawRowObjectInspector, partObjectInspector,
rowWithPart, null, partDeserializer, partTblObjectInspectorConverter);
} else {
// LOG.info("dump2 " + tableName + " " + partName + " " +
// rowObjectInspector.getTypeName());
opCtx = new MapOpCtx(false, tblRawRowObjectInspector, tblRawRowObjectInspector, null, null,
null, partDeserializer, partTblObjectInspectorConverter);
}
opCtx.tableName = tableName;
opCtx.partName = partName;
return opCtx;
}
/**
* Set the inspectors given a input. Since a mapper can span multiple partitions, the inspectors
* need to be changed if the input changes
**/
private void setInspectorInput(MapInputPath inp) {
Operator op = inp.getOp();
deserializer = opCtxMap.get(inp).getDeserializer();
isPartitioned = opCtxMap.get(inp).isPartitioned();
rowWithPart = opCtxMap.get(inp).getRowWithPart();
rowWithPartAndVC = opCtxMap.get(inp).getRowWithPartAndVC();
tblRowObjectInspector = opCtxMap.get(inp).getRowObjectInspector();
partTblObjectInspectorConverter = opCtxMap.get(inp).getPartTblObjectInspectorConverter();
if (listInputPaths.contains(inp)) {
return;
}
listInputPaths.add(inp);
// 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 ammended
if (op instanceof TableScanOperator) {
StructObjectInspector tblRawRowObjectInspector =
opCtxMap.get(inp).getTblRawRowObjectInspector();
StructObjectInspector partObjectInspector = opCtxMap.get(inp).partObjectInspector;
TableScanOperator tsOp = (TableScanOperator) op;
TableScanDesc tsDesc = tsOp.getConf();
if (tsDesc != null) {
this.vcs = tsDesc.getVirtualCols();
if (vcs != null && vcs.size() > 0) {
List vcNames = new ArrayList(vcs.size());
this.vcValues = new Writable[vcs.size()];
List vcsObjectInspectors = new ArrayList(vcs.size());
for (int i = 0; i < vcs.size(); i++) {
VirtualColumn vc = vcs.get(i);
vcsObjectInspectors.add(
PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(
((PrimitiveTypeInfo) vc.getTypeInfo()).getPrimitiveCategory()));
vcNames.add(vc.getName());
}
StructObjectInspector vcStructObjectInspector = ObjectInspectorFactory
.getStandardStructObjectInspector(vcNames,
vcsObjectInspectors);
if (isPartitioned) {
this.rowWithPartAndVC = new Object[3];
this.rowWithPartAndVC[1] = this.rowWithPart[1];
} else {
this.rowWithPartAndVC = new Object[2];
}
if (partObjectInspector == null) {
this.tblRowObjectInspector = ObjectInspectorFactory.getUnionStructObjectInspector(Arrays
.asList(new StructObjectInspector[] {
tblRowObjectInspector, vcStructObjectInspector}));
} else {
this.tblRowObjectInspector = ObjectInspectorFactory.getUnionStructObjectInspector(Arrays
.asList(new StructObjectInspector[] {
tblRawRowObjectInspector, partObjectInspector,
vcStructObjectInspector}));
}
opCtxMap.get(inp).rowObjectInspector = this.tblRowObjectInspector;
opCtxMap.get(inp).rowWithPartAndVC = this.rowWithPartAndVC;
}
}
}
}
// 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
{
for (String onefile : conf.getPathToAliases().keySet()) {
PartitionDesc pd = conf.getPathToPartitionInfo().get(onefile);
TableDesc tableDesc = pd.getTableDesc();
Properties tblProps = tableDesc.getProperties();
// If the partition does not exist, use table properties
Properties partProps =
(pd.getPartSpec() == null || pd.getPartSpec().isEmpty()) ?
tblProps : pd.getProperties();
Class sdclass = pd.getDeserializerClass();
if (sdclass == null) {
String className = pd.getSerdeClassName();
if ((className == null) || (className.isEmpty())) {
throw new HiveException(
"SerDe class or the SerDe class name is not set for table: "
+ pd.getProperties().getProperty("name"));
}
sdclass = hconf.getClassByName(className);
}
Deserializer partDeserializer = (Deserializer) sdclass.newInstance();
partDeserializer.initialize(hconf, partProps);
StructObjectInspector partRawRowObjectInspector = (StructObjectInspector) partDeserializer
.getObjectInspector();
StructObjectInspector tblRawRowObjectInspector = tableDescOI.get(tableDesc);
if ((tblRawRowObjectInspector == null) ||
(identityConverterTableDesc.contains(tableDesc))) {
sdclass = tableDesc.getDeserializerClass();
if (sdclass == null) {
String className = tableDesc.getSerdeClassName();
if ((className == null) || (className.isEmpty())) {
throw new HiveException(
"SerDe class or the SerDe class name is not set for table: "
+ tableDesc.getProperties().getProperty("name"));
}
sdclass = hconf.getClassByName(className);
}
Deserializer tblDeserializer = (Deserializer) sdclass.newInstance();
tblDeserializer.initialize(hconf, tblProps);
tblRawRowObjectInspector =
(StructObjectInspector) ObjectInspectorConverters.getConvertedOI(
partRawRowObjectInspector,
(StructObjectInspector) tblDeserializer.getObjectInspector());
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 HiveException {
Path fpath = new Path(HiveConf.getVar(hconf,
HiveConf.ConfVars.HADOOPMAPFILENAME));
ArrayList> children =
new ArrayList>();
opCtxMap = new HashMap();
operatorToPaths = new HashMap, ArrayList>();
statsMap.put(Counter.DESERIALIZE_ERRORS, deserialize_error_count);
Map convertedOI = getConvertedOI(hconf);
try {
for (String onefile : conf.getPathToAliases().keySet()) {
MapOpCtx opCtx = initObjectInspector(conf, hconf, onefile, convertedOI);
Path onepath = new Path(onefile);
List aliases = conf.getPathToAliases().get(onefile);
for (String onealias : aliases) {
Operator op = conf.getAliasToWork().get(
onealias);
LOG.info("Adding alias " + onealias + " to work list for file "
+ onefile);
MapInputPath inp = new MapInputPath(onefile, onealias, op);
opCtxMap.put(inp, opCtx);
if (operatorToPaths.get(op) == null) {
operatorToPaths.put(op, new ArrayList());
}
operatorToPaths.get(op).add(onefile);
op.setParentOperators(new ArrayList>());
op.getParentOperators().add(this);
// check for the operators who will process rows coming to this Map
// Operator
if (!onepath.toUri().relativize(fpath.toUri()).equals(fpath.toUri())) {
children.add(op);
childrenOpToOpCtxMap.put(op, opCtx);
LOG.info("dump " + op.getName() + " "
+ opCtxMap.get(inp).getRowObjectInspector().getTypeName());
}
setInspectorInput(inp);
}
}
if (children.size() == 0) {
// didn't find match for input file path in configuration!
// serious problem ..
LOG.error("Configuration does not have any alias for path: "
+ fpath.toUri());
throw new HiveException("Configuration and input path are inconsistent");
}
// we found all the operators that we are supposed to process.
setChildOperators(children);
} catch (Exception e) {
throw new HiveException(e);
}
}
@Override
public void initializeOp(Configuration hconf) throws HiveException {
// set that parent initialization is done and call initialize on children
state = State.INIT;
List> children = getChildOperators();
for (Entry, MapOpCtx> entry : childrenOpToOpCtxMap
.entrySet()) {
Operator child = entry.getKey();
MapOpCtx mapOpCtx = entry.getValue();
// Add alias, table name, and partitions to hadoop conf so that their
// children will
// inherit these
HiveConf.setVar(hconf, HiveConf.ConfVars.HIVETABLENAME,
mapOpCtx.tableName);
HiveConf.setVar(hconf, HiveConf.ConfVars.HIVEPARTITIONNAME,
mapOpCtx.partName);
child.initialize(hconf, new ObjectInspector[] {mapOpCtx.getRowObjectInspector()});
}
for (Entry entry : opCtxMap.entrySet()) {
// Add alias, table name, and partitions to hadoop conf so that their
// children will
// inherit these
HiveConf.setVar(hconf, HiveConf.ConfVars.HIVETABLENAME,
entry.getValue().tableName);
HiveConf.setVar(hconf, HiveConf.ConfVars.HIVEPARTITIONNAME, entry
.getValue().partName);
MapInputPath input = entry.getKey();
Operator op = input.op;
// op is not in the children list, so need to remember it and close it
// afterwards
if (children.indexOf(op) == -1) {
if (extraChildrenToClose == null) {
extraChildrenToClose = new ArrayList>();
}
extraChildrenToClose.add(op);
op.initialize(hconf, new ObjectInspector[] {entry.getValue().getRowObjectInspector()});
}
}
}
/**
* close extra child operators that are initialized but are not executed.
*/
@Override
public void closeOp(boolean abort) throws HiveException {
if (extraChildrenToClose != null) {
for (Operator op : extraChildrenToClose) {
op.close(abort);
}
}
}
// Change the serializer etc. since it is a new file, and split can span
// multiple files/partitions.
@Override
public void cleanUpInputFileChangedOp() throws HiveException {
Path fpath = new Path((new Path(this.getExecContext().getCurrentInputFile()))
.toUri().getPath());
for (String onefile : conf.getPathToAliases().keySet()) {
Path onepath = new Path(new Path(onefile).toUri().getPath());
// check for the operators who will process rows coming to this Map
// Operator
if (!onepath.toUri().relativize(fpath.toUri()).equals(fpath.toUri())) {
String onealias = conf.getPathToAliases().get(onefile).get(0);
Operator op =
conf.getAliasToWork().get(onealias);
LOG.info("Processing alias " + onealias + " for file " + onefile);
MapInputPath inp = new MapInputPath(onefile, onealias, op);
setInspectorInput(inp);
break;
}
}
}
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
if ((this.getExecContext() != null) &&
this.getExecContext().inputFileChanged()) {
// The child operators cleanup if input file has changed
cleanUpInputFileChanged();
}
ExecMapperContext context = getExecContext();
Object row = null;
try {
if (null != this.rowWithPartAndVC) {
this.rowWithPartAndVC[0] =
partTblObjectInspectorConverter.convert(deserializer.deserialize(value));
int vcPos = isPartitioned ? 2 : 1;
if (context != null) {
populateVirtualColumnValues(context, vcs, vcValues, deserializer);
}
this.rowWithPartAndVC[vcPos] = this.vcValues;
} else if (!isPartitioned) {
row = partTblObjectInspectorConverter.convert(deserializer.deserialize((Writable) value));
} else {
rowWithPart[0] =
partTblObjectInspectorConverter.convert(deserializer.deserialize((Writable) value));
}
} catch (Exception e) {
// Serialize the row and output.
String rawRowString;
try {
rawRowString = value.toString();
} catch (Exception e2) {
rawRowString = "[Error getting row data with exception " +
StringUtils.stringifyException(e2) + " ]";
}
// TODO: policy on deserialization errors
deserialize_error_count.set(deserialize_error_count.get() + 1);
throw new HiveException("Hive Runtime Error while processing writable " + rawRowString, e);
}
// The row has been converted to comply with table schema, irrespective of partition schema.
// So, use tblOI (and not partOI) for forwarding
try {
if (null != this.rowWithPartAndVC) {
forward(this.rowWithPartAndVC, this.tblRowObjectInspector);
} else if (!isPartitioned) {
forward(row, tblRowObjectInspector);
} else {
forward(rowWithPart, tblRowObjectInspector);
}
} catch (Exception e) {
// Serialize the row and output the error message.
String rowString;
try {
if (null != rowWithPartAndVC) {
rowString = SerDeUtils.getJSONString(rowWithPartAndVC, tblRowObjectInspector);
} else if (!isPartitioned) {
rowString = SerDeUtils.getJSONString(row, tblRowObjectInspector);
} else {
rowString = SerDeUtils.getJSONString(rowWithPart, tblRowObjectInspector);
}
} catch (Exception e2) {
rowString = "[Error getting row data with exception " +
StringUtils.stringifyException(e2) + " ]";
}
throw new HiveException("Hive Runtime Error while processing row " + rowString, e);
}
}
public static Writable[] populateVirtualColumnValues(ExecMapperContext ctx,
List vcs, Writable[] vcValues, Deserializer deserializer) {
if (vcs == null) {
return vcValues;
}
if (vcValues == null) {
vcValues = new Writable[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.getCurrentInputFile());
}
} 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);
}
}
}
return vcValues;
}
@Override
public void processOp(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;
}
}
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