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/**
* Copyright 2018 ZuInnoTe (Jörn Franke)
*
* Licensed 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.zuinnote.hadoop.excel.hive.serde;
import java.math.BigDecimal;
import java.sql.Timestamp;
import java.text.DateFormat;
import java.text.DecimalFormat;
import java.text.NumberFormat;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Date;
import java.util.List;
import java.util.Locale;
import java.util.Map.Entry;
import java.util.Properties;
import java.util.Set;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hive.common.type.HiveChar;
import org.apache.hadoop.hive.common.type.HiveDecimal;
import org.apache.hadoop.hive.common.type.HiveVarchar;
import org.apache.hadoop.hive.serde.serdeConstants;
import org.apache.hadoop.hive.serde2.AbstractSerDe;
import org.apache.hadoop.hive.serde2.SerDeException;
import org.apache.hadoop.hive.serde2.SerDeStats;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.StructField;
import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.BooleanObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.ByteObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.DateObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.DoubleObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.FloatObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.HiveDecimalObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.IntObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.LongObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.ShortObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.StringObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.TimestampObjectInspector;
import org.apache.hadoop.hive.serde2.typeinfo.CharTypeInfo;
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.hive.serde2.typeinfo.VarcharTypeInfo;
import org.apache.hadoop.io.ArrayWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Writable;
import org.zuinnote.hadoop.office.format.common.HadoopOfficeReadConfiguration;
import org.zuinnote.hadoop.office.format.common.HadoopOfficeWriteConfiguration;
import org.zuinnote.hadoop.office.format.common.converter.ExcelConverterSimpleSpreadSheetCellDAO;
import org.zuinnote.hadoop.office.format.common.converter.datatypes.GenericBigDecimalDataType;
import org.zuinnote.hadoop.office.format.common.converter.datatypes.GenericBooleanDataType;
import org.zuinnote.hadoop.office.format.common.converter.datatypes.GenericByteDataType;
import org.zuinnote.hadoop.office.format.common.converter.datatypes.GenericDataType;
import org.zuinnote.hadoop.office.format.common.converter.datatypes.GenericDateDataType;
import org.zuinnote.hadoop.office.format.common.converter.datatypes.GenericDoubleDataType;
import org.zuinnote.hadoop.office.format.common.converter.datatypes.GenericFloatDataType;
import org.zuinnote.hadoop.office.format.common.converter.datatypes.GenericIntegerDataType;
import org.zuinnote.hadoop.office.format.common.converter.datatypes.GenericLongDataType;
import org.zuinnote.hadoop.office.format.common.converter.datatypes.GenericShortDataType;
import org.zuinnote.hadoop.office.format.common.converter.datatypes.GenericStringDataType;
import org.zuinnote.hadoop.office.format.common.converter.datatypes.GenericTimestampDataType;
import org.zuinnote.hadoop.office.format.common.dao.SpreadSheetCellDAO;
import org.zuinnote.hadoop.office.format.common.dao.SpreadSheetCellDAOArrayWritable;
import org.zuinnote.hadoop.office.format.common.util.msexcel.MSExcelUtil;
/**
* SerDe for Excel files (.xls,.xlsx) to retrieve them as rows and store them in Excel. Note: you need to specify a schema according to which the data in the Excel should be converted.
*
*/
public class ExcelSerde extends AbstractSerDe {
public static final String CONF_DEFAULTSHEETNAME = "office.hive.write.defaultSheetName";
public static final String DEFAULT_DEFAULTSHEETNAME = "Sheet1";
public static final String HOSUFFIX = "hadoopoffice.";
private static final Log LOG = LogFactory.getLog(ExcelSerde.class.getName());
private ObjectInspector oi;
private String defaultSheetName = ExcelSerde.CONF_DEFAULTSHEETNAME;
private List columnNames;
private List columnTypes;
private Object[] nullRow;
private Object[] outputRow;
private int currentWriteRow;
private ExcelConverterSimpleSpreadSheetCellDAO readConverter;
private ExcelConverterSimpleSpreadSheetCellDAO writeConverter;
private boolean writeHeader;
/**
* Initializes the Serde
*
* @see #initialize(Configuration, Properties, Properties)
*
* @param conf Hadoop Configuration
* @param prop table properties
*
*
*/
@Override
public void initialize(Configuration conf, Properties prop) throws SerDeException {
this.initialize(conf, prop, null);
}
/**
* Initializes the SerDe \n
* You can define in the table properties (additionally to the standard Hive properties) the following options \n
* office.hive.write.defaultSheetName: The sheetname to which data should be written (note: as an input any sheets can be read or selected sheets according to HadoopOffice configuration values) \n
* Any of the HadoopOffice options (hadoopoffice.*), such as encryption, signing, low footprint mode, linked workbooks, can be defined in the table properties @see HadoopOffice configuration\n
* @param conf Hadoop Configuration
* @param prop table properties.
* @param partitionProperties ignored. Partitions are not supported.
*/
@Override
public void initialize(Configuration conf, Properties prop, Properties partitionProperties) throws SerDeException {
LOG.debug("Initializing Excel Hive Serde");
LOG.debug("Configuring Hive-only options");
// configure hadoopoffice specific hive options
String defaultSheetNameStr = prop.getProperty(ExcelSerde.CONF_DEFAULTSHEETNAME);
if (defaultSheetNameStr != null) {
this.defaultSheetName = defaultSheetNameStr;
}
// copy hadoopoffice options
LOG.debug("Configuring HadoopOffice Format");
Set> entries = prop.entrySet();
for (Entry entry : entries) {
if ((entry.getKey() instanceof String) && ((String) entry.getKey()).startsWith(ExcelSerde.HOSUFFIX)) {
if (("TRUE".equalsIgnoreCase((String) entry.getValue()))
|| ("FALSE".equalsIgnoreCase(((String) entry.getValue())))) {
conf.setBoolean((String) entry.getKey(), Boolean.valueOf((String) entry.getValue()));
} else {
conf.set((String) entry.getKey(), (String) entry.getValue());
}
}
}
// create object inspector (always a struct = row)
LOG.debug("Creating object inspector");
this.columnNames = Arrays.asList(prop.getProperty(serdeConstants.LIST_COLUMNS).split(","));
this.columnTypes = TypeInfoUtils.getTypeInfosFromTypeString(prop.getProperty(serdeConstants.LIST_COLUMN_TYPES));
final List columnOIs = new ArrayList(columnNames.size());
for (TypeInfo currentColumnType : columnTypes) {
columnOIs.add(TypeInfoUtils.getStandardJavaObjectInspectorFromTypeInfo(currentColumnType));
}
this.oi = ObjectInspectorFactory.getStandardStructObjectInspector(columnNames, columnOIs);
// create converter
LOG.debug("Creating converter");
HadoopOfficeReadConfiguration hocr = new HadoopOfficeReadConfiguration(conf);
this.readConverter = new ExcelConverterSimpleSpreadSheetCellDAO(hocr.getSimpleDateFormat(), hocr.getSimpleDecimalFormat(), hocr.getSimpleDateTimeFormat());
HadoopOfficeWriteConfiguration howc = new HadoopOfficeWriteConfiguration(conf,"");
this.writeConverter = new ExcelConverterSimpleSpreadSheetCellDAO(howc.getSimpleDateFormat(), howc.getSimpleDecimalFormat(), howc.getSimpleDateTimeFormat());
// configure writing of header
this.writeHeader=howc.getWriteHeader();
GenericDataType[] columnsGD = new GenericDataType[columnNames.size()];
for (int i = 0; i < columnOIs.size(); i++) {
ObjectInspector currentOI = columnOIs.get(i);
if (currentOI instanceof BooleanObjectInspector) {
columnsGD[i] = new GenericBooleanDataType();
} else if (currentOI instanceof DateObjectInspector) {
columnsGD[i] = new GenericDateDataType();
} else if (currentOI instanceof TimestampObjectInspector) {
columnsGD[i] = new GenericTimestampDataType();
}
else if (currentOI instanceof ByteObjectInspector) {
columnsGD[i] = new GenericByteDataType();
} else if (currentOI instanceof ShortObjectInspector) {
columnsGD[i] = new GenericShortDataType();
} else if (currentOI instanceof IntObjectInspector) {
columnsGD[i] = new GenericIntegerDataType();
} else if (currentOI instanceof LongObjectInspector) {
columnsGD[i] = new GenericLongDataType();
} else if (currentOI instanceof DoubleObjectInspector) {
columnsGD[i] = new GenericDoubleDataType();
} else if (currentOI instanceof FloatObjectInspector) {
columnsGD[i] = new GenericFloatDataType();
} else if (currentOI instanceof HiveDecimalObjectInspector) {
HiveDecimalObjectInspector currentOIHiveDecimalOI = (HiveDecimalObjectInspector) currentOI;
columnsGD[i] = new GenericBigDecimalDataType(currentOIHiveDecimalOI.precision(),
currentOIHiveDecimalOI.scale());
} else if (currentOI instanceof StringObjectInspector) {
columnsGD[i] = new GenericStringDataType();
} else {
LOG.warn("Could not detect desired datatype for column " + i + ". Type " + currentOI.getTypeName()
+ ". Using String");
columnsGD[i] = new GenericStringDataType();
}
}
this.readConverter.setSchemaRow(columnsGD);
this.writeConverter.setSchemaRow(columnsGD);
// create nullrow
this.nullRow = new Object[this.columnNames.size()];
// set writerow
this.currentWriteRow = 0;
// set outputrow
this.outputRow = new Object[this.columnNames.size()];
LOG.debug("Finished Initialization");
}
/**
* The object inspector returned is always of type StructObjectInspector
*
* @return StructObjectInspector
*/
@Override
public ObjectInspector getObjectInspector() throws SerDeException {
return this.oi;
}
/**
* Returns null because SerdeStata are not supported
*
* @return null
*/
@Override
public SerDeStats getSerDeStats() {
// no statistics supported
return null;
}
/**
* Returns the class in which information is serialized.
* It is an ArrayWritable (@see org.zuinnote.hadoop.office.format.common.dao.SpreadSheetCellDAOArrayWritable) containing objects of type SpreadSheetCellDAO (@see org.zuinnote.hadoop.office.format.common.dao.SpreadSheetCellDAO)
*
* @return SpreadSheetCellDAOArrayWritable.class
*/
@Override
public Class getSerializedClass() {
return SpreadSheetCellDAOArrayWritable.class;
}
/**
* Deserializes an object of type @see #getSerializedClass()
* Note: Some Java types, such as Decimal, are converted to Hive specific datatypes.
*
* @param arg0 object of type @see #getSerializedClass()
* @return Array containing objects of type primitive Java (e.g. string, byte, integer)/Hive (e.g HiveDecimal, HiveVarChar)
*
*/
@Override
public Object deserialize(Writable arg0) throws SerDeException {
if ((arg0 == null) || (arg0 instanceof NullWritable)) {
return this.nullRow;
}
Object[] primitiveRow = this.readConverter
.getDataAccordingToSchema((SpreadSheetCellDAO[]) ((ArrayWritable) arg0).get());
// check if supported type and convert to hive type, if necessary
for (int i = 0; i < primitiveRow.length; i++) {
PrimitiveTypeInfo ti = (PrimitiveTypeInfo) this.columnTypes.get(i);
switch (ti.getPrimitiveCategory()) {
case STRING:
primitiveRow[i] = primitiveRow[i];
break;
case BYTE:
primitiveRow[i] = primitiveRow[i];
break;
case SHORT:
primitiveRow[i] = primitiveRow[i];
break;
case INT:
primitiveRow[i] = primitiveRow[i];
break;
case LONG:
primitiveRow[i] = primitiveRow[i];
break;
case FLOAT:
primitiveRow[i] = primitiveRow[i];
break;
case DOUBLE:
primitiveRow[i] = primitiveRow[i];
break;
case BOOLEAN:
primitiveRow[i] = primitiveRow[i];
break;
case TIMESTAMP:
primitiveRow[i] = primitiveRow[i];
break;
case DATE:
if (primitiveRow[i] != null) {
primitiveRow[i] = new java.sql.Date(((Date) primitiveRow[i]).getTime());
}
break;
case DECIMAL:
if (primitiveRow[i] != null) {
primitiveRow[i] = HiveDecimal.create((BigDecimal) primitiveRow[i]);
}
break;
case CHAR:
if (primitiveRow[i] != null) {
primitiveRow[i] = new HiveChar((String) primitiveRow[i], ((CharTypeInfo) ti).getLength());
}
break;
case VARCHAR:
if (primitiveRow[i] != null) {
primitiveRow[i] = new HiveVarchar((String) primitiveRow[i], ((VarcharTypeInfo) ti).getLength());
}
break;
default:
throw new SerDeException("Unsupported type " + ti);
}
}
if (this.columnNames.size()>primitiveRow.length) { // can happen in rare cases where a row does not contain all columns
Object[] tempRow = new Object[this.columnNames.size()];
for (int i=0;i 0) {
// write header
SpreadSheetCellDAOArrayWritable resultWritable = new SpreadSheetCellDAOArrayWritable();
resultWritable.set(resultHeader);
return resultWritable;
} else { // write empty row
this.currentWriteRow++;
return null;
}
}
if (!(arg1 instanceof StructObjectInspector)) {
throw new SerDeException("Expect a row of primitive datatypes for serialization");
}
final StructObjectInspector outputOI = (StructObjectInspector) arg1;
final List outputFields = outputOI.getAllStructFieldRefs();
if (outputFields.size() != this.columnNames.size()) {
throw new SerDeException("Cannot serialize the object because there are " + outputFields.size()
+ " fields but the table has " + this.columnNames.size() + " columns.");
}
SpreadSheetCellDAO[] result = new SpreadSheetCellDAO[resultHeader.length + this.columnNames.size()];
// copy header, if available
for (int i = 0; i < resultHeader.length; i++) {
result[i] = resultHeader[i];
}
// get field data
for (int i = 0; i < this.columnNames.size(); i++) {
final Object fieldObject = outputOI.getStructFieldData(arg0, outputFields.get(i));
final ObjectInspector fieldOI = outputFields.get(i).getFieldObjectInspector();
this.outputRow[i] = ((PrimitiveObjectInspector) fieldOI).getPrimitiveJavaObject(fieldObject);
PrimitiveTypeInfo ti = (PrimitiveTypeInfo) this.columnTypes.get(i);
switch (ti.getPrimitiveCategory()) {
case STRING:
outputRow[i] = outputRow[i];
break;
case BYTE:
outputRow[i] = outputRow[i];
break;
case SHORT:
outputRow[i] = outputRow[i];
break;
case INT:
outputRow[i] = outputRow[i];
break;
case LONG:
outputRow[i] = outputRow[i];
break;
case FLOAT:
outputRow[i] = outputRow[i];
break;
case DOUBLE:
outputRow[i] = outputRow[i];
break;
case BOOLEAN:
outputRow[i] = outputRow[i];
break;
case TIMESTAMP:
outputRow[i] = outputRow[i];
break;
case DATE:
outputRow[i] = outputRow[i];
break;
case DECIMAL:
if (outputRow[i] != null) {
// add trailing zeros, if necessary, Hive removes them by default, but for certain scenarios we might still need them in Excel
outputRow[i] = ((HiveDecimal) outputRow[i]).bigDecimalValue().setScale(((DecimalTypeInfo)ti).scale());
}
break;
case CHAR:
if (outputRow[i] != null) {
outputRow[i] = ((HiveChar) outputRow[i]).getStrippedValue();
}
break;
case VARCHAR:
if (outputRow[i] != null) {
outputRow[i] = ((HiveVarchar) outputRow[i]).toString();
}
break;
default:
throw new SerDeException("Unsupported type " + ti);
}
}
// convert to spreadsheetcell
SpreadSheetCellDAO[] convertedRow = this.writeConverter.getSpreadSheetCellDAOfromSimpleDataType(this.outputRow,
this.defaultSheetName, this.currentWriteRow);
// write into result
for (int i = 0; i < convertedRow.length; i++) {
result[resultHeader.length + i] = convertedRow[i];
}
this.currentWriteRow++;
SpreadSheetCellDAOArrayWritable resultWritable = new SpreadSheetCellDAOArrayWritable();
resultWritable.set(result);
return resultWritable;
}
}
