Github user bhavya411 commented on a diff in the pull request:
https://github.com/apache/carbondata/pull/1142#discussion_r126119484
--- Diff:
integration/hive/src/main/java/org/apache/carbondata/hive/DictionaryDecodeReadSupport.java
---
@@ -0,0 +1,288 @@
+/*
+ * 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.carbondata.hive;
+
+import java.io.IOException;
+import java.sql.Date;
+import java.sql.Timestamp;
+import java.util.ArrayList;
+import java.util.List;
+
+import org.apache.carbondata.core.cache.Cache;
+import org.apache.carbondata.core.cache.CacheProvider;
+import org.apache.carbondata.core.cache.CacheType;
+import org.apache.carbondata.core.cache.dictionary.Dictionary;
+import
org.apache.carbondata.core.cache.dictionary.DictionaryColumnUniqueIdentifier;
+import org.apache.carbondata.core.metadata.AbsoluteTableIdentifier;
+import org.apache.carbondata.core.metadata.datatype.DataType;
+import org.apache.carbondata.core.metadata.encoder.Encoding;
+import
org.apache.carbondata.core.metadata.schema.table.column.CarbonColumn;
+import
org.apache.carbondata.core.metadata.schema.table.column.CarbonDimension;
+import org.apache.carbondata.core.util.CarbonUtil;
+import org.apache.carbondata.hadoop.readsupport.CarbonReadSupport;
+
+import org.apache.hadoop.hive.common.type.HiveDecimal;
+import org.apache.hadoop.hive.serde2.io.DateWritable;
+import org.apache.hadoop.hive.serde2.io.DoubleWritable;
+import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
+import org.apache.hadoop.hive.serde2.io.ShortWritable;
+import org.apache.hadoop.hive.serde2.io.TimestampWritable;
+
+import org.apache.hadoop.io.ArrayWritable;
+import org.apache.hadoop.io.IntWritable;
+import org.apache.hadoop.io.LongWritable;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.io.Writable;
+
+import org.apache.spark.sql.catalyst.expressions.GenericInternalRow;
+import org.apache.spark.sql.catalyst.util.GenericArrayData;
+
+/**
+ * This is the class to decode dictionary encoded column data back to its
original value.
+ */
+public class DictionaryDecodeReadSupport<T> implements
CarbonReadSupport<T> {
+
+ protected Dictionary[] dictionaries;
+
+ protected DataType[] dataTypes;
+ /**
+ * carbon columns
+ */
+ protected CarbonColumn[] carbonColumns;
+
+ protected Writable[] writableArr;
+
+ /**
+ * This initialization is done inside executor task
+ * for column dictionary involved in decoding.
+ *
+ * @param carbonColumns column list
+ * @param absoluteTableIdentifier table identifier
+ */
+ @Override public void initialize(CarbonColumn[] carbonColumns,
+ AbsoluteTableIdentifier absoluteTableIdentifier) throws IOException {
+ this.carbonColumns = carbonColumns;
+ dictionaries = new Dictionary[carbonColumns.length];
+ dataTypes = new DataType[carbonColumns.length];
+ for (int i = 0; i < carbonColumns.length; i++) {
+ if (carbonColumns[i].hasEncoding(Encoding.DICTIONARY) &&
!carbonColumns[i]
+ .hasEncoding(Encoding.DIRECT_DICTIONARY) &&
!carbonColumns[i].isComplex()) {
+ CacheProvider cacheProvider = CacheProvider.getInstance();
+ Cache<DictionaryColumnUniqueIdentifier, Dictionary>
forwardDictionaryCache = cacheProvider
+ .createCache(CacheType.FORWARD_DICTIONARY,
absoluteTableIdentifier.getStorePath());
+ dataTypes[i] = carbonColumns[i].getDataType();
+ dictionaries[i] = forwardDictionaryCache.get(
+ new
DictionaryColumnUniqueIdentifier(absoluteTableIdentifier.getCarbonTableIdentifier(),
+ carbonColumns[i].getColumnIdentifier(), dataTypes[i]));
+ } else {
+ dataTypes[i] = carbonColumns[i].getDataType();
+ }
+ }
+ }
+
+ @Override public T readRow(Object[] data) {
+ assert (data.length == dictionaries.length);
+ writableArr = new Writable[data.length];
+ for (int i = 0; i < dictionaries.length; i++) {
+ if (dictionaries[i] != null) {
+ data[i] = dictionaries[i].getDictionaryValueForKey((int) data[i]);
+ }
+ try {
+ writableArr[i] = createWritableObject(data[i], carbonColumns[i]);
+ } catch (IOException e) {
+ throw new RuntimeException(e.getMessage(), e);
+ }
+ }
+
+ return (T) writableArr;
+ }
+
+ /**
+ * to book keep the dictionary cache or update access count for each
+ * column involved during decode, to facilitate LRU cache policy if
memory
+ * threshold is reached
+ */
+ @Override public void close() {
+ if (dictionaries == null) {
+ return;
+ }
+ for (int i = 0; i < dictionaries.length; i++) {
+ CarbonUtil.clearDictionaryCache(dictionaries[i]);
+ }
+ }
+
+ /**
+ * To Create the Writable from the CarbonData data
+ *
+ * @param obj
+ * @param carbonColumn
+ * @return
+ * @throws IOException
+ */
+ private Writable createWritableObject(Object obj, CarbonColumn
carbonColumn) throws IOException {
+ DataType dataType = carbonColumn.getDataType();
+ switch (dataType) {
+ case STRUCT:
+ return createStruct(obj, carbonColumn);
+ case ARRAY:
+ return createArray(obj, carbonColumn);
+ default:
+ return createWritablePrimitive(obj, carbonColumn);
+ }
+ }
+
+ /**
+ * Create Array Data for Array Datatype
+ *
+ * @param obj
+ * @param carbonColumn
+ * @return
+ * @throws IOException
+ */
+ private ArrayWritable createArray(Object obj, CarbonColumn carbonColumn)
throws IOException {
+ if (obj instanceof GenericArrayData) {
+
+ Object[] objArray = ((GenericArrayData) obj).array();
+ List<CarbonDimension> childCarbonDimensions = null;
+ CarbonDimension arrayDimension = null;
+ if (carbonColumn.isDimension() &&
carbonColumn.getColumnSchema().getNumberOfChild() > 0) {
+ childCarbonDimensions = ((CarbonDimension)
carbonColumn).getListOfChildDimensions();
+ arrayDimension = childCarbonDimensions.get(0);
+ }
+ List array = new ArrayList();
+ if (objArray != null) {
+ for (int i = 0; i < objArray.length; i++) {
+ Object curObj = objArray[i];
+ Writable newObj = createWritableObject(curObj, arrayDimension);
+ array.add(newObj);
+ }
+ }
+ if (array.size() > 0) {
+ ArrayWritable subArray = new ArrayWritable(Writable.class,
+ (Writable[]) array.toArray(new Writable[array.size()]));
+ return new ArrayWritable(Writable.class, new Writable[] { subArray
});
+ }
+ }
+ return null;
+ }
+
+ /**
+ * Create the Struct data for the Struct Datatype
+ *
+ * @param obj
+ * @param carbonColumn
+ * @return
+ * @throws IOException
+ */
+ private ArrayWritable createStruct(Object obj, CarbonColumn
carbonColumn) throws IOException {
+ if (obj instanceof GenericInternalRow) {
+ Object[] objArray = ((GenericInternalRow) obj).values();
+ List<CarbonDimension> childCarbonDimensions = null;
+ if (carbonColumn.isDimension() &&
carbonColumn.getColumnSchema().getNumberOfChild() > 0) {
+ childCarbonDimensions = ((CarbonDimension)
carbonColumn).getListOfChildDimensions();
+ }
+ Writable[] arr = new Writable[objArray.length];
+ for (int i = 0; i < objArray.length; i++) {
+
+ arr[i] = createWritableObject(objArray[i],
childCarbonDimensions.get(i));
+ }
+ return new ArrayWritable(Writable.class, arr);
+ }
+ throw new IOException("DataType not supported in Carbondata");
+ }
+
+ /**
+ * This method will create the Writable Objects for primitives.
+ *
+ * @param obj
+ * @param carbonColumn
+ * @return
+ * @throws IOException
+ */
+ private Writable createWritablePrimitive(Object obj, CarbonColumn
carbonColumn)
+ throws IOException {
+ DataType dataType = carbonColumn.getDataType();
+ if (obj == null) {
+ return null;
+ }
+ switch (dataType) {
+ case NULL:
+ return null;
+ case DOUBLE:
+ return new DoubleWritable((double) obj);
+ case INT:
+ return new IntWritable((int) obj);
+ case LONG:
+ return new LongWritable((long) obj);
+ case SHORT:
+ return new ShortWritable((Short) obj);
+ case DATE:
+ return new DateWritable(new Date((Integer) obj));
+ case TIMESTAMP:
+ return new TimestampWritable(new Timestamp((long) obj));
+ case STRING:
+ return new Text(obj.toString());
+ case DECIMAL:
+ return new HiveDecimalWritable(
+ HiveDecimal.create(((org.apache.spark.sql.types.Decimal)
obj).toJavaBigDecimal()));
+ }
+ throw new IOException("Unknown primitive : " + dataType.getName());
+ }
+
+ /**
+ * If we need to use the same Writable[] then we can use this method
+ *
+ * @param writable
+ * @param obj
+ * @param carbonColumn
+ * @throws IOException
+ */
+ private void setPrimitive(Writable writable, Object obj, CarbonColumn
carbonColumn)
+ throws IOException {
+ DataType dataType = carbonColumn.getDataType();
+ if (obj == null) {
+ writable.write(null);
+ }
+ switch (dataType) {
+ case DOUBLE:
+ ((DoubleWritable) writable).set((double) obj);
+ break;
+ case INT:
+ ((IntWritable) writable).set((int) obj);
+ break;
+ case LONG:
+ ((LongWritable) writable).set((long) obj);
+ break;
+ case SHORT:
+ ((ShortWritable) writable).set((short) obj);
+ break;
+ case DATE:
+ ((DateWritable) writable).set(new Date((Long) obj));
+ break;
+ case TIMESTAMP:
+ ((TimestampWritable) writable).set(new Timestamp((long) obj));
+ break;
+ case STRING:
+ ((Text) writable).set(obj.toString());
+ break;
+ case DECIMAL:
+ ((HiveDecimalWritable) writable)
--- End diff --
Have fixed the issue now using BigDecimal
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