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org.apache.hadoop.hive.ql.exec.vector.VectorizedBatchUtil 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.vector;
import java.io.IOException;
import java.sql.Timestamp;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.LinkedList;
import java.util.List;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.hive.common.type.HiveChar;
import org.apache.hadoop.hive.common.type.HiveIntervalDayTime;
import org.apache.hadoop.hive.common.type.HiveIntervalYearMonth;
import org.apache.hadoop.hive.common.type.HiveVarchar;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.serde2.io.ByteWritable;
import org.apache.hadoop.hive.serde2.io.DateWritable;
import org.apache.hadoop.hive.serde2.io.DoubleWritable;
import org.apache.hadoop.hive.serde2.io.HiveCharWritable;
import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
import org.apache.hadoop.hive.serde2.io.HiveIntervalDayTimeWritable;
import org.apache.hadoop.hive.serde2.io.HiveIntervalYearMonthWritable;
import org.apache.hadoop.hive.serde2.io.HiveVarcharWritable;
import org.apache.hadoop.hive.serde2.io.ShortWritable;
import org.apache.hadoop.hive.serde2.io.TimestampWritable;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector.Category;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.StandardStructObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.StructField;
import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
import org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
import org.apache.hadoop.io.BooleanWritable;
import org.apache.hadoop.io.BytesWritable;
import org.apache.hadoop.io.DataOutputBuffer;
import org.apache.hadoop.io.FloatWritable;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hive.common.util.DateUtils;
public class VectorizedBatchUtil {
private static final Log LOG = LogFactory.getLog(VectorizedBatchUtil.class);
/**
* Sets the IsNull value for ColumnVector at specified index
* @param cv
* @param rowIndex
*/
public static void setNullColIsNullValue(ColumnVector cv, int rowIndex) {
cv.isNull[rowIndex] = true;
if (cv.noNulls) {
cv.noNulls = false;
}
}
/**
* Iterates thru all the column vectors and sets noNull to
* specified value.
*
* @param batch
* Batch on which noNull is set
*/
public static void setNoNullFields(VectorizedRowBatch batch) {
for (int i = 0; i < batch.numCols; i++) {
batch.cols[i].noNulls = true;
}
}
/**
* Iterates thru all the column vectors and sets repeating to
* specified column.
*
*/
public static void setRepeatingColumn(VectorizedRowBatch batch, int column) {
ColumnVector cv = batch.cols[column];
cv.isRepeating = true;
}
/**
* Reduce the batch size for a vectorized row batch
*/
public static void setBatchSize(VectorizedRowBatch batch, int size) {
assert (size <= batch.getMaxSize());
batch.size = size;
}
/**
* Walk through the object inspector and add column vectors
*
* @param oi
* @param cvList
* ColumnVectors are populated in this list
*/
private static void allocateColumnVector(StructObjectInspector oi,
List cvList) throws HiveException {
if (cvList == null) {
throw new HiveException("Null columnvector list");
}
if (oi == null) {
return;
}
final List fields = oi.getAllStructFieldRefs();
for(StructField field : fields) {
ObjectInspector fieldObjectInspector = field.getFieldObjectInspector();
switch(fieldObjectInspector.getCategory()) {
case PRIMITIVE:
PrimitiveObjectInspector poi = (PrimitiveObjectInspector) fieldObjectInspector;
switch(poi.getPrimitiveCategory()) {
case BOOLEAN:
case BYTE:
case SHORT:
case INT:
case LONG:
case TIMESTAMP:
case DATE:
case INTERVAL_YEAR_MONTH:
case INTERVAL_DAY_TIME:
cvList.add(new LongColumnVector(VectorizedRowBatch.DEFAULT_SIZE));
break;
case FLOAT:
case DOUBLE:
cvList.add(new DoubleColumnVector(VectorizedRowBatch.DEFAULT_SIZE));
break;
case BINARY:
case STRING:
case CHAR:
case VARCHAR:
cvList.add(new BytesColumnVector(VectorizedRowBatch.DEFAULT_SIZE));
break;
case DECIMAL:
DecimalTypeInfo tInfo = (DecimalTypeInfo) poi.getTypeInfo();
cvList.add(new DecimalColumnVector(VectorizedRowBatch.DEFAULT_SIZE,
tInfo.precision(), tInfo.scale()));
break;
default:
throw new HiveException("Vectorizaton is not supported for datatype:"
+ poi.getPrimitiveCategory());
}
break;
case STRUCT:
throw new HiveException("Struct not supported");
default:
throw new HiveException("Flattening is not supported for datatype:"
+ fieldObjectInspector.getCategory());
}
}
}
/**
* Create VectorizedRowBatch from ObjectInspector
*
* @param oi
* @return
* @throws HiveException
*/
public static VectorizedRowBatch constructVectorizedRowBatch(
StructObjectInspector oi) throws HiveException {
final List cvList = new LinkedList();
allocateColumnVector(oi, cvList);
final VectorizedRowBatch result = new VectorizedRowBatch(cvList.size());
int i = 0;
for(ColumnVector cv : cvList) {
result.cols[i++] = cv;
}
return result;
}
/**
* Create VectorizedRowBatch from key and value object inspectors
*
* @param keyInspector
* @param valueInspector
* @return VectorizedRowBatch
* @throws HiveException
*/
public static VectorizedRowBatch constructVectorizedRowBatch(
StructObjectInspector keyInspector, StructObjectInspector valueInspector)
throws HiveException {
final List cvList = new LinkedList();
allocateColumnVector(keyInspector, cvList);
allocateColumnVector(valueInspector, cvList);
final VectorizedRowBatch result = new VectorizedRowBatch(cvList.size());
result.cols = cvList.toArray(result.cols);
return result;
}
/**
* Iterates through all columns in a given row and populates the batch
*
* @param row
* @param oi
* @param rowIndex
* @param batch
* @param buffer
* @throws HiveException
*/
public static void addRowToBatch(Object row, StructObjectInspector oi,
int rowIndex,
VectorizedRowBatch batch,
DataOutputBuffer buffer
) throws HiveException {
addRowToBatchFrom(row, oi, rowIndex, 0, batch, buffer);
}
/**
* Iterates thru all the columns in a given row and populates the batch
* from a given offset
*
* @param row Deserialized row object
* @param oi Object insepector for that row
* @param rowIndex index to which the row should be added to batch
* @param colOffset offset from where the column begins
* @param batch Vectorized batch to which the row is added at rowIndex
* @throws HiveException
*/
public static void addRowToBatchFrom(Object row, StructObjectInspector oi,
int rowIndex,
int colOffset,
VectorizedRowBatch batch,
DataOutputBuffer buffer
) throws HiveException {
List fieldRefs = oi.getAllStructFieldRefs();
final int off = colOffset;
// Iterate thru the cols and load the batch
for (int i = 0; i < fieldRefs.size(); i++) {
setVector(row, oi, fieldRefs.get(i), batch, buffer, rowIndex, i, off);
}
}
/**
* Add only the projected column of a regular row to the specified vectorized row batch
* @param row the regular row
* @param oi object inspector for the row
* @param rowIndex the offset to add in the batch
* @param batch vectorized row batch
* @param buffer data output buffer
* @throws HiveException
*/
public static void addProjectedRowToBatchFrom(Object row, StructObjectInspector oi,
int rowIndex, VectorizedRowBatch batch, DataOutputBuffer buffer) throws HiveException {
List fieldRefs = oi.getAllStructFieldRefs();
for (int i = 0; i < fieldRefs.size(); i++) {
int projectedOutputCol = batch.projectedColumns[i];
if (batch.cols[projectedOutputCol] == null) {
continue;
}
setVector(row, oi, fieldRefs.get(i), batch, buffer, rowIndex, projectedOutputCol, 0);
}
}
/**
* Iterates thru all the columns in a given row and populates the batch
* from a given offset
*
* @param row Deserialized row object
* @param oi Object insepector for that row
* @param rowIndex index to which the row should be added to batch
* @param batch Vectorized batch to which the row is added at rowIndex
* @param context context object for this vectorized batch
* @param buffer
* @throws HiveException
*/
public static void acidAddRowToBatch(Object row,
StructObjectInspector oi,
int rowIndex,
VectorizedRowBatch batch,
VectorizedRowBatchCtx context,
DataOutputBuffer buffer) throws HiveException {
List fieldRefs = oi.getAllStructFieldRefs();
// Iterate thru the cols and load the batch
for (int i = 0; i < fieldRefs.size(); i++) {
if (batch.cols[i] == null) {
// This means the column was not included in the projection from the underlying read
continue;
}
if (context.isPartitionCol(i)) {
// The value will have already been set before we're called, so don't overwrite it
continue;
}
setVector(row, oi, fieldRefs.get(i), batch, buffer, rowIndex, i, 0);
}
}
private static void setVector(Object row,
StructObjectInspector oi,
StructField field,
VectorizedRowBatch batch,
DataOutputBuffer buffer,
int rowIndex,
int colIndex,
int offset) throws HiveException {
Object fieldData = oi.getStructFieldData(row, field);
ObjectInspector foi = field.getFieldObjectInspector();
// Vectorization only supports PRIMITIVE data types. Assert the same
assert (foi.getCategory() == Category.PRIMITIVE);
// Get writable object
PrimitiveObjectInspector poi = (PrimitiveObjectInspector) foi;
Object writableCol = poi.getPrimitiveWritableObject(fieldData);
// NOTE: The default value for null fields in vectorization is 1 for int types, NaN for
// float/double. String types have no default value for null.
switch (poi.getPrimitiveCategory()) {
case BOOLEAN: {
LongColumnVector lcv = (LongColumnVector) batch.cols[offset + colIndex];
if (writableCol != null) {
lcv.vector[rowIndex] = ((BooleanWritable) writableCol).get() ? 1 : 0;
lcv.isNull[rowIndex] = false;
} else {
lcv.vector[rowIndex] = 1;
setNullColIsNullValue(lcv, rowIndex);
}
}
break;
case BYTE: {
LongColumnVector lcv = (LongColumnVector) batch.cols[offset + colIndex];
if (writableCol != null) {
lcv.vector[rowIndex] = ((ByteWritable) writableCol).get();
lcv.isNull[rowIndex] = false;
} else {
lcv.vector[rowIndex] = 1;
setNullColIsNullValue(lcv, rowIndex);
}
}
break;
case SHORT: {
LongColumnVector lcv = (LongColumnVector) batch.cols[offset + colIndex];
if (writableCol != null) {
lcv.vector[rowIndex] = ((ShortWritable) writableCol).get();
lcv.isNull[rowIndex] = false;
} else {
lcv.vector[rowIndex] = 1;
setNullColIsNullValue(lcv, rowIndex);
}
}
break;
case INT: {
LongColumnVector lcv = (LongColumnVector) batch.cols[offset + colIndex];
if (writableCol != null) {
lcv.vector[rowIndex] = ((IntWritable) writableCol).get();
lcv.isNull[rowIndex] = false;
} else {
lcv.vector[rowIndex] = 1;
setNullColIsNullValue(lcv, rowIndex);
}
}
break;
case LONG: {
LongColumnVector lcv = (LongColumnVector) batch.cols[offset + colIndex];
if (writableCol != null) {
lcv.vector[rowIndex] = ((LongWritable) writableCol).get();
lcv.isNull[rowIndex] = false;
} else {
lcv.vector[rowIndex] = 1;
setNullColIsNullValue(lcv, rowIndex);
}
}
break;
case DATE: {
LongColumnVector lcv = (LongColumnVector) batch.cols[offset + colIndex];
if (writableCol != null) {
lcv.vector[rowIndex] = ((DateWritable) writableCol).getDays();
lcv.isNull[rowIndex] = false;
} else {
lcv.vector[rowIndex] = 1;
setNullColIsNullValue(lcv, rowIndex);
}
}
break;
case FLOAT: {
DoubleColumnVector dcv = (DoubleColumnVector) batch.cols[offset + colIndex];
if (writableCol != null) {
dcv.vector[rowIndex] = ((FloatWritable) writableCol).get();
dcv.isNull[rowIndex] = false;
} else {
dcv.vector[rowIndex] = Double.NaN;
setNullColIsNullValue(dcv, rowIndex);
}
}
break;
case DOUBLE: {
DoubleColumnVector dcv = (DoubleColumnVector) batch.cols[offset + colIndex];
if (writableCol != null) {
dcv.vector[rowIndex] = ((DoubleWritable) writableCol).get();
dcv.isNull[rowIndex] = false;
} else {
dcv.vector[rowIndex] = Double.NaN;
setNullColIsNullValue(dcv, rowIndex);
}
}
break;
case TIMESTAMP: {
LongColumnVector lcv = (LongColumnVector) batch.cols[offset + colIndex];
if (writableCol != null) {
Timestamp t = ((TimestampWritable) writableCol).getTimestamp();
lcv.vector[rowIndex] = TimestampUtils.getTimeNanoSec(t);
lcv.isNull[rowIndex] = false;
} else {
lcv.vector[rowIndex] = 1;
setNullColIsNullValue(lcv, rowIndex);
}
}
break;
case INTERVAL_YEAR_MONTH: {
LongColumnVector lcv = (LongColumnVector) batch.cols[offset + colIndex];
if (writableCol != null) {
HiveIntervalYearMonth i = ((HiveIntervalYearMonthWritable) writableCol).getHiveIntervalYearMonth();
lcv.vector[rowIndex] = i.getTotalMonths();
lcv.isNull[rowIndex] = false;
} else {
lcv.vector[rowIndex] = 1;
setNullColIsNullValue(lcv, rowIndex);
}
}
break;
case INTERVAL_DAY_TIME: {
LongColumnVector lcv = (LongColumnVector) batch.cols[offset + colIndex];
if (writableCol != null) {
HiveIntervalDayTime i = ((HiveIntervalDayTimeWritable) writableCol).getHiveIntervalDayTime();
lcv.vector[rowIndex] = DateUtils.getIntervalDayTimeTotalNanos(i);
lcv.isNull[rowIndex] = false;
} else {
lcv.vector[rowIndex] = 1;
setNullColIsNullValue(lcv, rowIndex);
}
}
break;
case BINARY: {
BytesColumnVector bcv = (BytesColumnVector) batch.cols[offset + colIndex];
if (writableCol != null) {
bcv.isNull[rowIndex] = false;
BytesWritable bw = (BytesWritable) writableCol;
byte[] bytes = bw.getBytes();
int start = buffer.getLength();
int length = bw.getLength();
try {
buffer.write(bytes, 0, length);
} catch (IOException ioe) {
throw new IllegalStateException("bad write", ioe);
}
bcv.setRef(rowIndex, buffer.getData(), start, length);
} else {
setNullColIsNullValue(bcv, rowIndex);
}
}
break;
case STRING: {
BytesColumnVector bcv = (BytesColumnVector) batch.cols[offset + colIndex];
if (writableCol != null) {
bcv.isNull[rowIndex] = false;
Text colText = (Text) writableCol;
int start = buffer.getLength();
int length = colText.getLength();
try {
buffer.write(colText.getBytes(), 0, length);
} catch (IOException ioe) {
throw new IllegalStateException("bad write", ioe);
}
bcv.setRef(rowIndex, buffer.getData(), start, length);
} else {
setNullColIsNullValue(bcv, rowIndex);
}
}
break;
case CHAR: {
BytesColumnVector bcv = (BytesColumnVector) batch.cols[offset + colIndex];
if (writableCol != null) {
bcv.isNull[rowIndex] = false;
HiveChar colHiveChar = ((HiveCharWritable) writableCol).getHiveChar();
byte[] bytes = colHiveChar.getStrippedValue().getBytes();
// We assume the CHAR maximum length was enforced when the object was created.
int length = bytes.length;
int start = buffer.getLength();
try {
// In vector mode, we store CHAR as unpadded.
buffer.write(bytes, 0, length);
} catch (IOException ioe) {
throw new IllegalStateException("bad write", ioe);
}
bcv.setRef(rowIndex, buffer.getData(), start, length);
} else {
setNullColIsNullValue(bcv, rowIndex);
}
}
break;
case VARCHAR: {
BytesColumnVector bcv = (BytesColumnVector) batch.cols[offset + colIndex];
if (writableCol != null) {
bcv.isNull[rowIndex] = false;
HiveVarchar colHiveVarchar = ((HiveVarcharWritable) writableCol).getHiveVarchar();
byte[] bytes = colHiveVarchar.getValue().getBytes();
// We assume the VARCHAR maximum length was enforced when the object was created.
int length = bytes.length;
int start = buffer.getLength();
try {
buffer.write(bytes, 0, length);
} catch (IOException ioe) {
throw new IllegalStateException("bad write", ioe);
}
bcv.setRef(rowIndex, buffer.getData(), start, length);
} else {
setNullColIsNullValue(bcv, rowIndex);
}
}
break;
case DECIMAL:
DecimalColumnVector dcv = (DecimalColumnVector) batch.cols[offset + colIndex];
if (writableCol != null) {
dcv.isNull[rowIndex] = false;
HiveDecimalWritable wobj = (HiveDecimalWritable) writableCol;
dcv.set(rowIndex, wobj);
} else {
setNullColIsNullValue(dcv, rowIndex);
}
break;
default:
throw new HiveException("Vectorizaton is not supported for datatype:" +
poi.getPrimitiveCategory());
}
}
public static StandardStructObjectInspector convertToStandardStructObjectInspector(
StructObjectInspector structObjectInspector) throws HiveException {
List fields = structObjectInspector.getAllStructFieldRefs();
List oids = new ArrayList();
ArrayList columnNames = new ArrayList();
for(StructField field : fields) {
TypeInfo typeInfo = TypeInfoUtils.getTypeInfoFromTypeString(
field.getFieldObjectInspector().getTypeName());
ObjectInspector standardWritableObjectInspector =
TypeInfoUtils.getStandardWritableObjectInspectorFromTypeInfo(typeInfo);
oids.add(standardWritableObjectInspector);
columnNames.add(field.getFieldName());
}
return ObjectInspectorFactory.getStandardStructObjectInspector(columnNames,oids);
}
public static PrimitiveTypeInfo[] primitiveTypeInfosFromStructObjectInspector(
StructObjectInspector structObjectInspector) throws HiveException {
List fields = structObjectInspector.getAllStructFieldRefs();
PrimitiveTypeInfo[] result = new PrimitiveTypeInfo[fields.size()];
int i = 0;
for(StructField field : fields) {
TypeInfo typeInfo = TypeInfoUtils.getTypeInfoFromTypeString(
field.getFieldObjectInspector().getTypeName());
result[i++] = (PrimitiveTypeInfo) typeInfo;
}
return result;
}
public static PrimitiveTypeInfo[] primitiveTypeInfosFromTypeNames(
String[] typeNames) throws HiveException {
PrimitiveTypeInfo[] result = new PrimitiveTypeInfo[typeNames.length];
for(int i = 0; i < typeNames.length; i++) {
TypeInfo typeInfo = TypeInfoUtils.getTypeInfoFromTypeString(typeNames[i]);
result[i] = (PrimitiveTypeInfo) typeInfo;
}
return result;
}
/**
* Make a new (scratch) batch, which is exactly "like" the batch provided, except that it's empty
* @param batch the batch to imitate
* @return the new batch
* @throws HiveException
*/
public static VectorizedRowBatch makeLike(VectorizedRowBatch batch) throws HiveException {
VectorizedRowBatch newBatch = new VectorizedRowBatch(batch.numCols);
for (int i = 0; i < batch.numCols; i++) {
ColumnVector colVector = batch.cols[i];
if (colVector != null) {
ColumnVector newColVector;
if (colVector instanceof LongColumnVector) {
newColVector = new LongColumnVector();
} else if (colVector instanceof DoubleColumnVector) {
newColVector = new DoubleColumnVector();
} else if (colVector instanceof BytesColumnVector) {
newColVector = new BytesColumnVector();
} else if (colVector instanceof DecimalColumnVector) {
DecimalColumnVector decColVector = (DecimalColumnVector) colVector;
newColVector = new DecimalColumnVector(decColVector.precision, decColVector.scale);
} else {
throw new HiveException("Column vector class " + colVector.getClass().getName() +
" is not supported!");
}
newBatch.cols[i] = newColVector;
newBatch.cols[i].init();
}
}
newBatch.projectedColumns = Arrays.copyOf(batch.projectedColumns, batch.projectedColumns.length);
newBatch.projectionSize = batch.projectionSize;
newBatch.reset();
return newBatch;
}
public static String displayBytes(byte[] bytes, int start, int length) {
StringBuilder sb = new StringBuilder();
for (int i = start; i < start + length; i++) {
char ch = (char) bytes[i];
if (ch < ' ' || ch > '~') {
sb.append(String.format("\\%03d", (int) (bytes[i] & 0xff)));
} else {
sb.append(ch);
}
}
return sb.toString();
}
public static void debugDisplayOneRow(VectorizedRowBatch batch, int index, String prefix) {
StringBuffer sb = new StringBuffer();
sb.append(prefix + " row " + index + " ");
for (int column = 0; column < batch.cols.length; column++) {
ColumnVector colVector = batch.cols[column];
if (colVector == null) {
sb.append("(null colVector " + column + ")");
} else {
boolean isRepeating = colVector.isRepeating;
index = (isRepeating ? 0 : index);
if (colVector.noNulls || !colVector.isNull[index]) {
if (colVector instanceof LongColumnVector) {
sb.append(((LongColumnVector) colVector).vector[index]);
} else if (colVector instanceof DoubleColumnVector) {
sb.append(((DoubleColumnVector) colVector).vector[index]);
} else if (colVector instanceof BytesColumnVector) {
BytesColumnVector bytesColumnVector = (BytesColumnVector) colVector;
byte[] bytes = bytesColumnVector.vector[index];
int start = bytesColumnVector.start[index];
int length = bytesColumnVector.length[index];
if (bytes == null) {
sb.append("(Unexpected null bytes with start " + start + " length " + length + ")");
} else {
sb.append("bytes: '" + displayBytes(bytes, start, length) + "'");
}
} else if (colVector instanceof DecimalColumnVector) {
sb.append(((DecimalColumnVector) colVector).vector[index].toString());
} else {
sb.append("Unknown");
}
} else {
sb.append("NULL");
}
}
sb.append(" ");
}
LOG.info(sb.toString());
}
public static void debugDisplayBatch(VectorizedRowBatch batch, String prefix) throws HiveException {
for (int i = 0; i < batch.size; i++) {
int index = (batch.selectedInUse ? batch.selected[i] : i);
debugDisplayOneRow(batch, index, prefix);
}
}
}
