use of org.apache.hadoop.hive.serde2.io.HiveDecimalWritable in project hive by apache.
the class TestVectorizedListColumnReader method writeListData.
protected static void writeListData(ParquetWriter<Group> writer, boolean isDictionaryEncoding, int elementNum) throws IOException {
SimpleGroupFactory f = new SimpleGroupFactory(schema);
int listMaxSize = 4;
int listElementIndex = 0;
for (int i = 0; i < elementNum; i++) {
boolean isNull = isNull(i);
Group group = f.newGroup();
int listSize = i % listMaxSize + 1;
if (!isNull) {
for (int j = 0; j < listSize; j++) {
group.append("list_int32_field", getIntValue(isDictionaryEncoding, listElementIndex));
group.append("list_int64_field", getLongValue(isDictionaryEncoding, listElementIndex));
group.append("list_double_field", getDoubleValue(isDictionaryEncoding, listElementIndex));
group.append("list_float_field", getFloatValue(isDictionaryEncoding, listElementIndex));
group.append("list_boolean_field", getBooleanValue(listElementIndex));
group.append("list_binary_field", getBinaryValue(isDictionaryEncoding, listElementIndex));
HiveDecimal hd = getDecimal(isDictionaryEncoding, listElementIndex).setScale(2);
HiveDecimalWritable hdw = new HiveDecimalWritable(hd);
group.append("list_decimal_field", Binary.fromConstantByteArray(hdw.getInternalStorage()));
listElementIndex++;
}
}
for (int j = 0; j < listMaxSize; j++) {
group.append("list_binary_field_for_repeat_test", getBinaryValue(isDictionaryEncoding, i));
}
writer.write(group);
}
writer.close();
}
use of org.apache.hadoop.hive.serde2.io.HiveDecimalWritable in project hive by apache.
the class TestVectorizedORCReader method checkVectorizedReader.
private void checkVectorizedReader() throws Exception {
Reader vreader = OrcFile.createReader(testFilePath, OrcFile.readerOptions(conf));
Reader reader = OrcFile.createReader(testFilePath, OrcFile.readerOptions(conf));
RecordReaderImpl vrr = (RecordReaderImpl) vreader.rows();
RecordReaderImpl rr = (RecordReaderImpl) reader.rows();
VectorizedRowBatch batch = reader.getSchema().createRowBatchV2();
OrcStruct row = null;
long lastRowNumber = -1;
// Check Vectorized ORC reader against ORC row reader
while (vrr.nextBatch(batch)) {
Assert.assertEquals(lastRowNumber + 1, vrr.getRowNumber());
for (int i = 0; i < batch.size; i++) {
Assert.assertEquals(rr.getRowNumber(), vrr.getRowNumber() + i);
lastRowNumber = rr.getRowNumber();
row = (OrcStruct) rr.next(row);
for (int j = 0; j < batch.cols.length; j++) {
Object a = (row.getFieldValue(j));
ColumnVector cv = batch.cols[j];
// if the value is repeating, use row 0
int rowId = cv.isRepeating ? 0 : i;
// make sure the null flag agrees
if (a == null) {
Assert.assertEquals(true, !cv.noNulls && cv.isNull[rowId]);
} else if (a instanceof BooleanWritable) {
// Boolean values are stores a 1's and 0's, so convert and compare
Long temp = (long) (((BooleanWritable) a).get() ? 1 : 0);
long b = ((LongColumnVector) cv).vector[rowId];
Assert.assertEquals(temp.toString(), Long.toString(b));
} else if (a instanceof TimestampWritableV2) {
// Timestamps are stored as long, so convert and compare
TimestampWritableV2 t = ((TimestampWritableV2) a);
TimestampColumnVector tcv = ((TimestampColumnVector) cv);
java.sql.Timestamp ts = tcv.asScratchTimestamp(rowId);
Assert.assertEquals(t.getTimestamp(), Timestamp.ofEpochMilli(ts.getTime(), ts.getNanos()));
} else if (a instanceof DateWritableV2) {
// Dates are stored as long, so convert and compare
DateWritableV2 adt = (DateWritableV2) a;
long b = ((LongColumnVector) cv).vector[rowId];
Assert.assertEquals(adt.get().toEpochMilli(), DateWritableV2.daysToMillis((int) b));
} else if (a instanceof HiveDecimalWritable) {
// Decimals are stored as BigInteger, so convert and compare
HiveDecimalWritable dec = (HiveDecimalWritable) a;
HiveDecimalWritable b = ((DecimalColumnVector) cv).vector[i];
Assert.assertEquals(dec, b);
} else if (a instanceof DoubleWritable) {
double b = ((DoubleColumnVector) cv).vector[rowId];
assertEquals(a.toString(), Double.toString(b));
} else if (a instanceof Text) {
BytesColumnVector bcv = (BytesColumnVector) cv;
Text b = new Text();
b.set(bcv.vector[rowId], bcv.start[rowId], bcv.length[rowId]);
assertEquals(a, b);
} else if (a instanceof IntWritable || a instanceof LongWritable || a instanceof ByteWritable || a instanceof ShortWritable) {
assertEquals(a.toString(), Long.toString(((LongColumnVector) cv).vector[rowId]));
} else {
assertEquals("huh", a.getClass().getName());
}
}
}
// Check repeating
Assert.assertEquals(false, batch.cols[0].isRepeating);
Assert.assertEquals(false, batch.cols[1].isRepeating);
Assert.assertEquals(false, batch.cols[2].isRepeating);
Assert.assertEquals(true, batch.cols[3].isRepeating);
Assert.assertEquals(false, batch.cols[4].isRepeating);
Assert.assertEquals(false, batch.cols[5].isRepeating);
Assert.assertEquals(false, batch.cols[6].isRepeating);
Assert.assertEquals(false, batch.cols[7].isRepeating);
Assert.assertEquals(false, batch.cols[8].isRepeating);
Assert.assertEquals(false, batch.cols[9].isRepeating);
// Check non null
Assert.assertEquals(false, batch.cols[0].noNulls);
Assert.assertEquals(false, batch.cols[1].noNulls);
Assert.assertEquals(true, batch.cols[2].noNulls);
Assert.assertEquals(true, batch.cols[3].noNulls);
Assert.assertEquals(false, batch.cols[4].noNulls);
Assert.assertEquals(false, batch.cols[5].noNulls);
Assert.assertEquals(false, batch.cols[6].noNulls);
Assert.assertEquals(false, batch.cols[7].noNulls);
Assert.assertEquals(false, batch.cols[8].noNulls);
Assert.assertEquals(false, batch.cols[9].noNulls);
}
Assert.assertEquals(false, rr.nextBatch(batch));
}
use of org.apache.hadoop.hive.serde2.io.HiveDecimalWritable in project hive by apache.
the class VectorizedColumnReaderTestBase method writeData.
protected static void writeData(ParquetWriter<Group> writer, boolean isDictionaryEncoding) throws IOException {
SimpleGroupFactory f = new SimpleGroupFactory(schema);
for (int i = 0; i < nElements; i++) {
boolean isNull = isNull(i);
int intVal = getIntValue(isDictionaryEncoding, i);
long longVal = getLongValue(isDictionaryEncoding, i);
Binary timeStamp = getTimestamp(isDictionaryEncoding, i);
HiveDecimal decimalVal = getDecimal(isDictionaryEncoding, i).setScale(2);
double doubleVal = getDoubleValue(isDictionaryEncoding, i);
float floatVal = getFloatValue(isDictionaryEncoding, i);
boolean booleanVal = getBooleanValue(i);
Binary binary = getBinaryValue(isDictionaryEncoding, i);
Group group = f.newGroup().append("int32_field", intVal).append("int64_field", longVal).append("int96_field", timeStamp).append("double_field", doubleVal).append("float_field", floatVal).append("boolean_field", booleanVal).append("flba_field", "abc");
if (!isNull) {
group.append("some_null_field", "x");
}
group.append("binary_field", binary);
if (!isNull) {
group.append("binary_field_some_null", binary);
}
HiveDecimalWritable w = new HiveDecimalWritable(decimalVal);
group.append("value", Binary.fromConstantByteArray(w.getInternalStorage()));
group.addGroup("struct_field").append("a", intVal).append("b", doubleVal);
Group g = group.addGroup("nested_struct_field");
g.addGroup("nsf").append("c", intVal).append("d", intVal);
g.append("e", doubleVal);
Group some_null_g = group.addGroup("struct_field_some_null");
if (i % 2 != 0) {
some_null_g.append("f", intVal);
}
if (i % 3 != 0) {
some_null_g.append("g", doubleVal);
}
Group mapGroup = group.addGroup("map_field");
if (i % 13 != 1) {
mapGroup.addGroup("map").append("key", binary).append("value", "abc");
} else {
mapGroup.addGroup("map").append("key", binary);
}
Group arrayGroup = group.addGroup("array_list");
for (int j = 0; j < i % 4; j++) {
arrayGroup.addGroup("bag").append("array_element", intVal);
}
writer.write(group);
}
writer.close();
}
use of org.apache.hadoop.hive.serde2.io.HiveDecimalWritable in project hive by apache.
the class TestParquetFilterPredicate method testFilterComplexTypes.
/**
* Check the converted filter predicate is null if unsupported types are included
* @throws Exception
*/
@Test
public void testFilterComplexTypes() throws Exception {
SearchArgument sarg = SearchArgumentFactory.newBuilder().startAnd().lessThan("x", PredicateLeaf.Type.DATE, Date.valueOf("1970-1-11")).lessThanEquals("y", PredicateLeaf.Type.STRING, new HiveChar("hi", 10).toString()).equals("z", PredicateLeaf.Type.DECIMAL, new HiveDecimalWritable("1.0")).end().build();
MessageType schema = MessageTypeParser.parseMessageType("message test {" + " required int32 x; required binary y; required binary z;}");
Map<String, TypeInfo> columnTypes = new HashMap<>();
columnTypes.put("x", TypeInfoFactory.getPrimitiveTypeInfo("date"));
columnTypes.put("y", TypeInfoFactory.getCharTypeInfo(10));
columnTypes.put("z", TypeInfoFactory.getDecimalTypeInfo(4, 2));
assertEquals(null, ParquetFilterPredicateConverter.toFilterPredicate(sarg, schema, columnTypes));
sarg = SearchArgumentFactory.newBuilder().startNot().startOr().isNull("x", PredicateLeaf.Type.LONG).between("y", PredicateLeaf.Type.DECIMAL, new HiveDecimalWritable("10"), new HiveDecimalWritable("20.0")).in("z", PredicateLeaf.Type.LONG, 1L, 2L, 3L).nullSafeEquals("a", PredicateLeaf.Type.STRING, new HiveVarchar("stinger", 100).toString()).end().end().build();
schema = MessageTypeParser.parseMessageType("message test {" + " optional int32 x; required binary y; required int32 z;" + " optional binary a;}");
columnTypes = new HashMap<>();
columnTypes.put("x", TypeInfoFactory.getPrimitiveTypeInfo("int"));
columnTypes.put("y", TypeInfoFactory.getDecimalTypeInfo(4, 2));
columnTypes.put("z", TypeInfoFactory.getPrimitiveTypeInfo("int"));
columnTypes.put("z", TypeInfoFactory.getCharTypeInfo(100));
assertEquals(null, ParquetFilterPredicateConverter.toFilterPredicate(sarg, schema, columnTypes));
}
use of org.apache.hadoop.hive.serde2.io.HiveDecimalWritable in project hive by apache.
the class TestETypeConverter method testGetDecimalConverter.
@Test
public void testGetDecimalConverter() throws Exception {
TypeInfo hiveTypeInfo = new DecimalTypeInfo(7, 2);
PrimitiveType primitiveType = Types.optional(PrimitiveTypeName.BINARY).as(LogicalTypeAnnotation.decimalType(2, 7)).named("value");
Writable writable = getWritableFromBinaryConverter(hiveTypeInfo, primitiveType, Binary.fromString("155"));
HiveDecimalWritable decimalWritable = (HiveDecimalWritable) writable;
assertEquals(2, decimalWritable.getScale());
}
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