@Test
public void test_getOrcField_complex_array() throws Exception {
final SchemaBuilder.FieldAssembler<Schema> builder =
SchemaBuilder.record("testRecord").namespace("any.data").fields();
builder.name("array").type().array().items().map().values().floatType().noDefault();
Schema testSchema = builder.endRecord();
TypeInfo orcType = NiFiOrcUtils.getOrcField(testSchema.getField("array").schema());
assertEquals(
TypeInfoFactory.getListTypeInfo(
TypeInfoFactory.getMapTypeInfo(
TypeInfoCreator.createString(), TypeInfoCreator.createFloat())),
orcType);
}
@Test
public void testDecimalPlusDecimalSameParams() throws HiveException {
GenericUDFOPPlus udf = new GenericUDFOPPlus();
ObjectInspector[] inputOIs = {
PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(
TypeInfoFactory.getDecimalTypeInfo(5, 2)),
PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(
TypeInfoFactory.getDecimalTypeInfo(5, 2))
};
PrimitiveObjectInspector oi = (PrimitiveObjectInspector) udf.initialize(inputOIs);
Assert.assertEquals(TypeInfoFactory.getDecimalTypeInfo(6, 2), oi.getTypeInfo());
}
@Override
public void initialize(Configuration conf, Properties tbl) throws SerDeException {
// Get column names and sort order
String columnNameProperty = tbl.getProperty(Constants.LIST_COLUMNS);
String columnTypeProperty = tbl.getProperty(Constants.LIST_COLUMN_TYPES);
if (columnNameProperty.length() == 0) {
columnNames = new ArrayList<String>();
} else {
columnNames = Arrays.asList(columnNameProperty.split(","));
}
if (columnTypeProperty.length() == 0) {
columnTypes = new ArrayList<TypeInfo>();
} else {
columnTypes = TypeInfoUtils.getTypeInfosFromTypeString(columnTypeProperty);
}
assert (columnNames.size() == columnTypes.size());
// Create row related objects
rowTypeInfo = TypeInfoFactory.getStructTypeInfo(columnNames, columnTypes);
rowObjectInspector =
(StructObjectInspector)
TypeInfoUtils.getStandardWritableObjectInspectorFromTypeInfo(rowTypeInfo);
row = new ArrayList<Object>(columnNames.size());
for (int i = 0; i < columnNames.size(); i++) {
row.add(null);
}
// Get the sort order
String columnSortOrder = tbl.getProperty(Constants.SERIALIZATION_SORT_ORDER);
columnSortOrderIsDesc = new boolean[columnNames.size()];
for (int i = 0; i < columnSortOrderIsDesc.length; i++) {
columnSortOrderIsDesc[i] = (columnSortOrder != null && columnSortOrder.charAt(i) == '-');
}
}
@Test
public void test_getOrcField_record() throws Exception {
final SchemaBuilder.FieldAssembler<Schema> builder =
SchemaBuilder.record("testRecord").namespace("any.data").fields();
builder.name("int").type().intType().noDefault();
builder.name("long").type().longType().longDefault(1L);
builder.name("array").type().array().items().stringType().noDefault();
Schema testSchema = builder.endRecord();
TypeInfo orcType = NiFiOrcUtils.getOrcField(testSchema);
assertEquals(
TypeInfoFactory.getStructTypeInfo(
Arrays.asList("int", "long", "array"),
Arrays.asList(
TypeInfoCreator.createInt(),
TypeInfoCreator.createLong(),
TypeInfoFactory.getListTypeInfo(TypeInfoCreator.createString()))),
orcType);
}
private ArrayWritableObjectInspector getObjectInspector(
final String columnNames, final String columnTypes) {
List<TypeInfo> columnTypeList = createHiveTypeInfoFrom(columnTypes);
List<String> columnNameList = createHiveColumnsFrom(columnNames);
StructTypeInfo rowTypeInfo =
(StructTypeInfo) TypeInfoFactory.getStructTypeInfo(columnNameList, columnTypeList);
return new ArrayWritableObjectInspector(rowTypeInfo);
}
@Test
public void testLongPlusDecimal() throws HiveException {
GenericUDFOPPlus udf = new GenericUDFOPPlus();
// Long
LongWritable left = new LongWritable(104);
HiveDecimalWritable right = new HiveDecimalWritable(HiveDecimal.create("234.97"));
ObjectInspector[] inputOIs = {
PrimitiveObjectInspectorFactory.writableLongObjectInspector,
PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(
TypeInfoFactory.getDecimalTypeInfo(9, 4))
};
DeferredObject[] args = {
new DeferredJavaObject(left), new DeferredJavaObject(right),
};
PrimitiveObjectInspector oi = (PrimitiveObjectInspector) udf.initialize(inputOIs);
Assert.assertEquals(TypeInfoFactory.getDecimalTypeInfo(24, 4), oi.getTypeInfo());
HiveDecimalWritable res = (HiveDecimalWritable) udf.evaluate(args);
Assert.assertEquals(HiveDecimal.create("338.97"), res.getHiveDecimal());
}
public static TypeInfo buildPrimitiveOrcSchema() {
return TypeInfoFactory.getStructTypeInfo(
Arrays.asList("int", "long", "boolean", "float", "double", "bytes", "string"),
Arrays.asList(
TypeInfoCreator.createInt(),
TypeInfoCreator.createLong(),
TypeInfoCreator.createBoolean(),
TypeInfoCreator.createFloat(),
TypeInfoCreator.createDouble(),
TypeInfoCreator.createBinary(),
TypeInfoCreator.createString()));
}
@Test
public void test_getOrcField_union() throws Exception {
final SchemaBuilder.FieldAssembler<Schema> builder =
SchemaBuilder.record("testRecord").namespace("any.data").fields();
builder.name("union").type().unionOf().intType().and().booleanType().endUnion().noDefault();
Schema testSchema = builder.endRecord();
TypeInfo orcType = NiFiOrcUtils.getOrcField(testSchema.getField("union").schema());
assertEquals(
TypeInfoFactory.getUnionTypeInfo(
Arrays.asList(TypeInfoCreator.createInt(), TypeInfoCreator.createBoolean())),
orcType);
}
@Test
public void testDecimalPlusDecimal() throws HiveException {
GenericUDFOPPlus udf = new GenericUDFOPPlus();
// Decimal
HiveDecimalWritable left = new HiveDecimalWritable(HiveDecimal.create("14.5"));
HiveDecimalWritable right = new HiveDecimalWritable(HiveDecimal.create("234.97"));
ObjectInspector[] inputOIs = {
PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(
TypeInfoFactory.getDecimalTypeInfo(3, 1)),
PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(
TypeInfoFactory.getDecimalTypeInfo(5, 2))
};
DeferredObject[] args = {
new DeferredJavaObject(left), new DeferredJavaObject(right),
};
PrimitiveObjectInspector oi = (PrimitiveObjectInspector) udf.initialize(inputOIs);
Assert.assertEquals(TypeInfoFactory.getDecimalTypeInfo(6, 2), oi.getTypeInfo());
HiveDecimalWritable res = (HiveDecimalWritable) udf.evaluate(args);
Assert.assertEquals(HiveDecimal.create("249.47"), res.getHiveDecimal());
}
/**
* Initializes the SerDe. Gets the list of columns and their types from the table properties. Will
* use them to look into/create JSON data.
*
* @param conf Hadoop configuration object
* @param tbl Table Properties
* @throws SerDeException
*/
@Override
public void initialize(Configuration conf, Properties tbl) throws SerDeException {
LOG.debug("Initializing SerDe");
// Get column names and sort order
String columnNameProperty = tbl.getProperty(Constants.LIST_COLUMNS);
String columnTypeProperty = tbl.getProperty(Constants.LIST_COLUMN_TYPES);
LOG.debug("columns " + columnNameProperty + " types " + columnTypeProperty);
// all table column names
if (columnNameProperty.length() == 0) {
columnNames = new ArrayList<String>();
} else {
columnNames = Arrays.asList(columnNameProperty.split(","));
}
// all column types
if (columnTypeProperty.length() == 0) {
columnTypes = new ArrayList<TypeInfo>();
} else {
columnTypes = TypeInfoUtils.getTypeInfosFromTypeString(columnTypeProperty);
}
assert (columnNames.size() == columnTypes.size());
stats = new SerDeStats();
// Create row related objects
rowTypeInfo = (StructTypeInfo) TypeInfoFactory.getStructTypeInfo(columnNames, columnTypes);
// build options
options = new JsonStructOIOptions(getMappings(tbl));
rowObjectInspector =
(StructObjectInspector)
JsonObjectInspectorFactory.getJsonObjectInspectorFromTypeInfo(rowTypeInfo, options);
// Get the sort order
String columnSortOrder = tbl.getProperty(Constants.SERIALIZATION_SORT_ORDER);
columnSortOrderIsDesc = new boolean[columnNames.size()];
for (int i = 0; i < columnSortOrderIsDesc.length; i++) {
columnSortOrderIsDesc[i] = (columnSortOrder != null && columnSortOrder.charAt(i) == '-');
}
// other configuration
ignoreMalformedJson =
Boolean.parseBoolean(tbl.getProperty(PROP_IGNORE_MALFORMED_JSON, "false"));
}
@Test
public void testMapColumnPairs() throws TooManyAccumuloColumnsException {
ColumnMapper columnMapper =
new ColumnMapper(
":rowID,cf:*",
conf.get(AccumuloSerDeParameters.DEFAULT_STORAGE_TYPE),
Arrays.asList("row", "col"),
Arrays.<TypeInfo>asList(
TypeInfoFactory.stringTypeInfo,
TypeInfoFactory.getMapTypeInfo(
TypeInfoFactory.stringTypeInfo, TypeInfoFactory.stringTypeInfo)));
Set<Pair<Text, Text>> pairs = inputformat.getPairCollection(columnMapper.getColumnMappings());
Assert.assertEquals(1, pairs.size());
Pair<Text, Text> cfCq = pairs.iterator().next();
Assert.assertEquals("cf", cfCq.getFirst().toString());
Assert.assertNull(cfCq.getSecond());
}
@Override
public final void initialize(final Configuration conf, final Properties tbl)
throws SerDeException {
final TypeInfo rowTypeInfo;
final List<String> columnNames;
final List<TypeInfo> columnTypes;
// Get column names and sort order
final String columnNameProperty = tbl.getProperty(serdeConstants.LIST_COLUMNS);
final String columnTypeProperty = tbl.getProperty(serdeConstants.LIST_COLUMN_TYPES);
// Get compression properties
compressionType = tbl.getProperty(ParquetOutputFormat.COMPRESSION, DEFAULTCOMPRESSION);
if (columnNameProperty.length() == 0) {
columnNames = new ArrayList<String>();
} else {
columnNames = Arrays.asList(columnNameProperty.split(","));
}
if (columnTypeProperty.length() == 0) {
columnTypes = new ArrayList<TypeInfo>();
} else {
columnTypes = TypeInfoUtils.getTypeInfosFromTypeString(columnTypeProperty);
}
if (columnNames.size() != columnTypes.size()) {
throw new IllegalArgumentException(
"ParquetHiveSerde initialization failed. Number of column "
+ "name and column type differs. columnNames = "
+ columnNames
+ ", columnTypes = "
+ columnTypes);
}
// Create row related objects
rowTypeInfo = TypeInfoFactory.getStructTypeInfo(columnNames, columnTypes);
this.objInspector = new ArrayWritableObjectInspector((StructTypeInfo) rowTypeInfo);
// Stats part
stats = new SerDeStats();
serializedSize = 0;
deserializedSize = 0;
status = LAST_OPERATION.UNKNOWN;
}
@Test
public void testDoulePlusDecimal() throws HiveException {
GenericUDFOPPlus udf = new GenericUDFOPPlus();
// Double
DoubleWritable left = new DoubleWritable(74.52);
HiveDecimalWritable right = new HiveDecimalWritable(HiveDecimal.create("234.97"));
ObjectInspector[] inputOIs = {
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector,
PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(
TypeInfoFactory.getDecimalTypeInfo(5, 2))
};
DeferredObject[] args = {
new DeferredJavaObject(left), new DeferredJavaObject(right),
};
PrimitiveObjectInspector oi = (PrimitiveObjectInspector) udf.initialize(inputOIs);
Assert.assertEquals(TypeInfoFactory.doubleTypeInfo, oi.getTypeInfo());
DoubleWritable res = (DoubleWritable) udf.evaluate(args);
Assert.assertEquals(new Double(309.49), new Double(res.get()));
}
@Test
public void test_getOrcField_primitive() throws Exception {
// Expected ORC types
TypeInfo[] expectedTypes = {
TypeInfoFactory.getPrimitiveTypeInfo("int"),
TypeInfoFactory.getPrimitiveTypeInfo("bigint"),
TypeInfoFactory.getPrimitiveTypeInfo("boolean"),
TypeInfoFactory.getPrimitiveTypeInfo("float"),
TypeInfoFactory.getPrimitiveTypeInfo("double"),
TypeInfoFactory.getPrimitiveTypeInfo("binary"),
TypeInfoFactory.getPrimitiveTypeInfo("string")
};
// Build a fake Avro record with all types
Schema testSchema = buildPrimitiveAvroSchema();
List<Schema.Field> fields = testSchema.getFields();
for (int i = 0; i < fields.size(); i++) {
assertEquals(expectedTypes[i], NiFiOrcUtils.getOrcField(fields.get(i).schema()));
}
}
@Override
public ObjectInspector init(Mode m, ObjectInspector[] parameters) throws HiveException {
assert (parameters.length == 1);
super.init(m, parameters);
result = new HiveDecimalWritable(HiveDecimal.ZERO);
inputOI = (PrimitiveObjectInspector) parameters[0];
// The output precision is 10 greater than the input which should cover at least
// 10b rows. The scale is the same as the input.
DecimalTypeInfo outputTypeInfo = null;
if (mode == Mode.PARTIAL1 || mode == Mode.COMPLETE) {
int precision = Math.min(HiveDecimal.MAX_PRECISION, inputOI.precision() + 10);
outputTypeInfo = TypeInfoFactory.getDecimalTypeInfo(precision, inputOI.scale());
} else {
outputTypeInfo = (DecimalTypeInfo) inputOI.getTypeInfo();
}
ObjectInspector oi =
PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(outputTypeInfo);
outputOI =
(PrimitiveObjectInspector)
ObjectInspectorUtils.getStandardObjectInspector(oi, ObjectInspectorCopyOption.JAVA);
return oi;
}
static TypeInfo createDouble() {
return TypeInfoFactory.getPrimitiveTypeInfo("double");
}
static {
cachedPrimitiveLazyObjectInspectors.put(
TypeInfoFactory.getPrimitiveTypeInfo(serdeConstants.BOOLEAN_TYPE_NAME),
LAZY_BOOLEAN_OBJECT_INSPECTOR);
cachedPrimitiveLazyObjectInspectors.put(
TypeInfoFactory.getPrimitiveTypeInfo(serdeConstants.TINYINT_TYPE_NAME),
LAZY_BYTE_OBJECT_INSPECTOR);
cachedPrimitiveLazyObjectInspectors.put(
TypeInfoFactory.getPrimitiveTypeInfo(serdeConstants.SMALLINT_TYPE_NAME),
LAZY_SHORT_OBJECT_INSPECTOR);
cachedPrimitiveLazyObjectInspectors.put(
TypeInfoFactory.getPrimitiveTypeInfo(serdeConstants.INT_TYPE_NAME),
LAZY_INT_OBJECT_INSPECTOR);
cachedPrimitiveLazyObjectInspectors.put(
TypeInfoFactory.getPrimitiveTypeInfo(serdeConstants.FLOAT_TYPE_NAME),
LAZY_FLOAT_OBJECT_INSPECTOR);
cachedPrimitiveLazyObjectInspectors.put(
TypeInfoFactory.getPrimitiveTypeInfo(serdeConstants.DOUBLE_TYPE_NAME),
LAZY_DOUBLE_OBJECT_INSPECTOR);
cachedPrimitiveLazyObjectInspectors.put(
TypeInfoFactory.getPrimitiveTypeInfo(serdeConstants.BIGINT_TYPE_NAME),
LAZY_LONG_OBJECT_INSPECTOR);
cachedPrimitiveLazyObjectInspectors.put(
TypeInfoFactory.getPrimitiveTypeInfo(serdeConstants.VOID_TYPE_NAME),
LAZY_VOID_OBJECT_INSPECTOR);
cachedPrimitiveLazyObjectInspectors.put(
TypeInfoFactory.getPrimitiveTypeInfo(serdeConstants.DATE_TYPE_NAME),
LAZY_DATE_OBJECT_INSPECTOR);
cachedPrimitiveLazyObjectInspectors.put(
TypeInfoFactory.getPrimitiveTypeInfo(serdeConstants.TIMESTAMP_TYPE_NAME),
LAZY_TIMESTAMP_OBJECT_INSPECTOR);
cachedPrimitiveLazyObjectInspectors.put(
TypeInfoFactory.getPrimitiveTypeInfo(serdeConstants.INTERVAL_YEAR_MONTH_TYPE_NAME),
LAZY_INTERVAL_YEAR_MONTH_OBJECT_INSPECTOR);
cachedPrimitiveLazyObjectInspectors.put(
TypeInfoFactory.getPrimitiveTypeInfo(serdeConstants.INTERVAL_DAY_TIME_TYPE_NAME),
LAZY_INTERVAL_DAY_TIME_OBJECT_INSPECTOR);
cachedPrimitiveLazyObjectInspectors.put(
TypeInfoFactory.getPrimitiveTypeInfo(serdeConstants.BINARY_TYPE_NAME),
LAZY_BINARY_OBJECT_INSPECTOR);
}
static TypeInfo createInt() {
return TypeInfoFactory.getPrimitiveTypeInfo("int");
}
static TypeInfo createLong() {
return TypeInfoFactory.getPrimitiveTypeInfo("bigint");
}
static TypeInfo createBoolean() {
return TypeInfoFactory.getPrimitiveTypeInfo("boolean");
}
static TypeInfo createFloat() {
return TypeInfoFactory.getPrimitiveTypeInfo("float");
}
static TypeInfo createString() {
return TypeInfoFactory.getPrimitiveTypeInfo("string");
}
static TypeInfo createBinary() {
return TypeInfoFactory.getPrimitiveTypeInfo("binary");
}
private MapOpCtx initObjectInspector(
Configuration hconf, MapOpCtx opCtx, StructObjectInspector tableRowOI) throws Exception {
PartitionDesc pd = opCtx.partDesc;
TableDesc td = pd.getTableDesc();
// Use table properties in case of unpartitioned tables,
// and the union of table properties and partition properties, with partition
// taking precedence, in the case of partitioned tables
Properties overlayedProps =
SerDeUtils.createOverlayedProperties(td.getProperties(), pd.getProperties());
Map<String, String> partSpec = pd.getPartSpec();
opCtx.tableName = String.valueOf(overlayedProps.getProperty("name"));
opCtx.partName = String.valueOf(partSpec);
opCtx.deserializer = pd.getDeserializer(hconf);
StructObjectInspector partRawRowObjectInspector;
if (Utilities.isInputFileFormatSelfDescribing(pd)) {
partRawRowObjectInspector = tableRowOI;
} else {
partRawRowObjectInspector = (StructObjectInspector) opCtx.deserializer.getObjectInspector();
}
opCtx.partTblObjectInspectorConverter =
ObjectInspectorConverters.getConverter(partRawRowObjectInspector, tableRowOI);
// 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 = overlayedProps.getProperty(hive_metastoreConstants.META_TABLE_PARTITION_COLUMNS);
if (pcols != null && pcols.length() > 0) {
String[] partKeys = pcols.trim().split("/");
String pcolTypes =
overlayedProps.getProperty(hive_metastoreConstants.META_TABLE_PARTITION_COLUMN_TYPES);
String[] partKeyTypes = pcolTypes.trim().split(":");
if (partKeys.length > partKeyTypes.length) {
throw new HiveException(
"Internal error : partKeys length, "
+ partKeys.length
+ " greater than partKeyTypes length, "
+ partKeyTypes.length);
}
List<String> partNames = new ArrayList<String>(partKeys.length);
Object[] partValues = new Object[partKeys.length];
List<ObjectInspector> partObjectInspectors = new ArrayList<ObjectInspector>(partKeys.length);
for (int i = 0; i < partKeys.length; i++) {
String key = partKeys[i];
partNames.add(key);
ObjectInspector oi =
PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(
TypeInfoFactory.getPrimitiveTypeInfo(partKeyTypes[i]));
// Partitions do not exist for this table
if (partSpec == null) {
// for partitionless table, initialize partValue to null
partValues[i] = null;
} else {
partValues[i] =
ObjectInspectorConverters.getConverter(
PrimitiveObjectInspectorFactory.javaStringObjectInspector, oi)
.convert(partSpec.get(key));
}
partObjectInspectors.add(oi);
}
opCtx.rowWithPart = new Object[] {null, partValues};
opCtx.partObjectInspector =
ObjectInspectorFactory.getStandardStructObjectInspector(partNames, partObjectInspectors);
}
// 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 amended
if (opCtx.op instanceof TableScanOperator) {
TableScanOperator tsOp = (TableScanOperator) opCtx.op;
TableScanDesc tsDesc = tsOp.getConf();
if (tsDesc != null && tsDesc.hasVirtualCols()) {
opCtx.vcs = tsDesc.getVirtualCols();
opCtx.vcValues = new Object[opCtx.vcs.size()];
opCtx.vcsObjectInspector = VirtualColumn.getVCSObjectInspector(opCtx.vcs);
if (opCtx.isPartitioned()) {
opCtx.rowWithPartAndVC = Arrays.copyOfRange(opCtx.rowWithPart, 0, 3);
} else {
opCtx.rowWithPartAndVC = new Object[2];
}
}
}
if (!opCtx.hasVC() && !opCtx.isPartitioned()) {
opCtx.rowObjectInspector = tableRowOI;
return opCtx;
}
List<StructObjectInspector> inspectors = new ArrayList<StructObjectInspector>();
inspectors.add(tableRowOI);
if (opCtx.isPartitioned()) {
inspectors.add(opCtx.partObjectInspector);
}
if (opCtx.hasVC()) {
inspectors.add(opCtx.vcsObjectInspector);
}
opCtx.rowObjectInspector = ObjectInspectorFactory.getUnionStructObjectInspector(inspectors);
return opCtx;
}
