Java Code Examples for org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo#getAllStructFieldTypeInfos()
The following examples show how to use
org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo#getAllStructFieldTypeInfos() .
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Example 1
Source File: HiveSchemaConverter.java From kite with Apache License 2.0 | 6 votes |
private static Schema convert(LinkedList<String> path, String name, StructTypeInfo type, Collection<String[]> required) { List<String> names = type.getAllStructFieldNames(); List<TypeInfo> types = type.getAllStructFieldTypeInfos(); Preconditions.checkArgument(names.size() == types.size(), "Cannot convert struct: %s names != %s types", names.size(), types.size()); List<Schema.Field> fields = Lists.newArrayList(); for (int i = 0; i < names.size(); i += 1) { path.addLast(name); fields.add(convertField(path, names.get(i), types.get(i), required)); path.removeLast(); } Schema recordSchema = Schema.createRecord(name, doc(type), null, false); recordSchema.setFields(fields); return recordSchema; }
Example 2
Source File: EmoSerDe.java From emodb with Apache License 2.0 | 6 votes |
private Object deserializeStruct(StructTypeInfo type, Object data) throws SerDeException { if (!(data instanceof Map)) { throw new SerDeException("Value not of type map"); } //noinspection unchecked Map<String, Object> map = (Map<String, Object>) data; List<String> fieldNames = type.getAllStructFieldNames(); List<TypeInfo> fieldTypes = type.getAllStructFieldTypeInfos(); // When deserializing a struct the returned value is a list of values in the same order as the field names. List<Object> values = Lists.newArrayListWithCapacity(fieldNames.size()); for (int i=0; i < fieldNames.size(); i++) { Object rawValue = getRawValueOrNullIfAbsent(fieldNames.get(i), map); Object value = deserialize(fieldTypes.get(i), rawValue); values.add(value); } return values; }
Example 3
Source File: JSONSerDe.java From searchanalytics-bigdata with MIT License | 6 votes |
/** * Parses a JSON object and its fields. The Hive metadata is used to * determine how to parse the object fields. * * @param field * - The JSON object to parse * @param fieldTypeInfo * - Metadata about the Hive column * @return - A map representing the object and its fields */ @SuppressWarnings("unchecked") private Object parseStruct(final Object field, final StructTypeInfo fieldTypeInfo) { final Map<Object, Object> map = (Map<Object, Object>) field; final ArrayList<TypeInfo> structTypes = fieldTypeInfo .getAllStructFieldTypeInfos(); final ArrayList<String> structNames = fieldTypeInfo .getAllStructFieldNames(); final List<Object> structRow = new ArrayList<Object>(structTypes.size()); for (int i = 0; i < structNames.size(); i++) { structRow.add(parseField(map.get(structNames.get(i)), structTypes.get(i))); } return structRow; }
Example 4
Source File: ArrayWritableObjectInspector.java From indexr with Apache License 2.0 | 6 votes |
public ArrayWritableObjectInspector(final StructTypeInfo rowTypeInfo) { typeInfo = rowTypeInfo; fieldNames = rowTypeInfo.getAllStructFieldNames(); fieldInfos = rowTypeInfo.getAllStructFieldTypeInfos(); fields = new ArrayList<StructField>(fieldNames.size()); fieldsByName = new HashMap<String, StructFieldImpl>(); for (int i = 0; i < fieldNames.size(); ++i) { final String name = fieldNames.get(i); final TypeInfo fieldInfo = fieldInfos.get(i); final StructFieldImpl field = new StructFieldImpl(name, getObjectInspector(fieldInfo), i); fields.add(field); fieldsByName.put(name, field); } }
Example 5
Source File: BlurObjectInspectorGenerator.java From incubator-retired-blur with Apache License 2.0 | 6 votes |
private ObjectInspector createObjectInspectorWorker(TypeInfo ti) throws SerDeException { switch (ti.getCategory()) { case PRIMITIVE: PrimitiveTypeInfo pti = (PrimitiveTypeInfo) ti; return PrimitiveObjectInspectorFactory.getPrimitiveJavaObjectInspector(pti); case STRUCT: StructTypeInfo sti = (StructTypeInfo) ti; List<ObjectInspector> ois = new ArrayList<ObjectInspector>(sti.getAllStructFieldTypeInfos().size()); for (TypeInfo typeInfo : sti.getAllStructFieldTypeInfos()) { ois.add(createObjectInspectorWorker(typeInfo)); } return ObjectInspectorFactory.getStandardStructObjectInspector(sti.getAllStructFieldNames(), ois); case LIST: ListTypeInfo lti = (ListTypeInfo) ti; TypeInfo listElementTypeInfo = lti.getListElementTypeInfo(); return ObjectInspectorFactory.getStandardListObjectInspector(createObjectInspectorWorker(listElementTypeInfo)); default: throw new SerDeException("No Hive categories matched for [" + ti + "]"); } }
Example 6
Source File: ArrayWritableObjectInspector.java From parquet-mr with Apache License 2.0 | 6 votes |
public ArrayWritableObjectInspector(final StructTypeInfo rowTypeInfo) { typeInfo = rowTypeInfo; fieldNames = rowTypeInfo.getAllStructFieldNames(); fieldInfos = rowTypeInfo.getAllStructFieldTypeInfos(); fields = new ArrayList<StructField>(fieldNames.size()); fieldsByName = new HashMap<String, StructFieldImpl>(); for (int i = 0; i < fieldNames.size(); ++i) { final String name = fieldNames.get(i); final TypeInfo fieldInfo = fieldInfos.get(i); final StructFieldImpl field = new StructFieldImpl(name, getObjectInspector(fieldInfo), i); fields.add(field); fieldsByName.put(name, field); } }
Example 7
Source File: HiveTypeUtil.java From flink with Apache License 2.0 | 5 votes |
/** * Convert Hive data type to a Flink data type. * * @param hiveType a Hive data type * @return the corresponding Flink data type */ public static DataType toFlinkType(TypeInfo hiveType) { checkNotNull(hiveType, "hiveType cannot be null"); switch (hiveType.getCategory()) { case PRIMITIVE: return toFlinkPrimitiveType((PrimitiveTypeInfo) hiveType); case LIST: ListTypeInfo listTypeInfo = (ListTypeInfo) hiveType; return DataTypes.ARRAY(toFlinkType(listTypeInfo.getListElementTypeInfo())); case MAP: MapTypeInfo mapTypeInfo = (MapTypeInfo) hiveType; return DataTypes.MAP(toFlinkType(mapTypeInfo.getMapKeyTypeInfo()), toFlinkType(mapTypeInfo.getMapValueTypeInfo())); case STRUCT: StructTypeInfo structTypeInfo = (StructTypeInfo) hiveType; List<String> names = structTypeInfo.getAllStructFieldNames(); List<TypeInfo> typeInfos = structTypeInfo.getAllStructFieldTypeInfos(); DataTypes.Field[] fields = new DataTypes.Field[names.size()]; for (int i = 0; i < fields.length; i++) { fields[i] = DataTypes.FIELD(names.get(i), toFlinkType(typeInfos.get(i))); } return DataTypes.ROW(fields); default: throw new UnsupportedOperationException( String.format("Flink doesn't support Hive data type %s yet.", hiveType)); } }
Example 8
Source File: OrcLazyRowObjectInspector.java From hive-dwrf with Apache License 2.0 | 5 votes |
public OrcLazyRowObjectInspector(StructTypeInfo info) { super(info.getAllStructFieldNames().size()); ArrayList<String> fieldNames = info.getAllStructFieldNames(); ArrayList<TypeInfo> fieldTypes = info.getAllStructFieldTypeInfos(); for(int i=0; i < fieldNames.size(); ++i) { fields.add(new Field(fieldNames.get(i), OrcLazyObjectInspectorUtils.createLazyObjectInspector(fieldTypes.get(i)), i)); } }
Example 9
Source File: OrcLazyStructObjectInspector.java From hive-dwrf with Apache License 2.0 | 5 votes |
public OrcLazyStructObjectInspector(StructTypeInfo info) { ArrayList<String> fieldNames = info.getAllStructFieldNames(); ArrayList<TypeInfo> fieldTypes = info.getAllStructFieldTypeInfos(); fields = new ArrayList<StructField>(fieldNames.size()); for(int i=0; i < fieldNames.size(); ++i) { fields.add(new Field(fieldNames.get(i), OrcLazyObjectInspectorUtils.createWritableObjectInspector(fieldTypes.get(i)), i)); } }
Example 10
Source File: OrcUtils.java From spork with Apache License 2.0 | 5 votes |
PigStructInspector(StructTypeInfo info) { ArrayList<String> fieldNames = info.getAllStructFieldNames(); ArrayList<TypeInfo> fieldTypes = info.getAllStructFieldTypeInfos(); fields = new ArrayList<StructField>(fieldNames.size()); for (int i = 0; i < fieldNames.size(); ++i) { fields.add(new Field(fieldNames.get(i), createObjectInspector(fieldTypes.get(i)), i)); } }
Example 11
Source File: HiveInspectors.java From flink with Apache License 2.0 | 5 votes |
private static ObjectInspector getObjectInspector(TypeInfo type) { switch (type.getCategory()) { case PRIMITIVE: PrimitiveTypeInfo primitiveType = (PrimitiveTypeInfo) type; return PrimitiveObjectInspectorFactory.getPrimitiveJavaObjectInspector(primitiveType); case LIST: ListTypeInfo listType = (ListTypeInfo) type; return ObjectInspectorFactory.getStandardListObjectInspector( getObjectInspector(listType.getListElementTypeInfo())); case MAP: MapTypeInfo mapType = (MapTypeInfo) type; return ObjectInspectorFactory.getStandardMapObjectInspector( getObjectInspector(mapType.getMapKeyTypeInfo()), getObjectInspector(mapType.getMapValueTypeInfo())); case STRUCT: StructTypeInfo structType = (StructTypeInfo) type; List<TypeInfo> fieldTypes = structType.getAllStructFieldTypeInfos(); List<ObjectInspector> fieldInspectors = new ArrayList<ObjectInspector>(); for (TypeInfo fieldType : fieldTypes) { fieldInspectors.add(getObjectInspector(fieldType)); } return ObjectInspectorFactory.getStandardStructObjectInspector( structType.getAllStructFieldNames(), fieldInspectors); default: throw new CatalogException("Unsupported Hive type category " + type.getCategory()); } }
Example 12
Source File: JSONCDHSerDe.java From bigdata-tutorial with Apache License 2.0 | 5 votes |
/** * Parses a JSON object and its fields. The Hive metadata is used to * determine how to parse the object fields. * * @param field - The JSON object to parse * @param fieldTypeInfo - Metadata about the Hive column * @return - A map representing the object and its fields */ private Object parseStruct(Object field, StructTypeInfo fieldTypeInfo) { Map<Object, Object> map = (Map<Object, Object>) field; ArrayList<TypeInfo> structTypes = fieldTypeInfo.getAllStructFieldTypeInfos(); ArrayList<String> structNames = fieldTypeInfo.getAllStructFieldNames(); List<Object> structRow = new ArrayList<Object>(structTypes.size()); if (map != null) { for (int i = 0; i < structNames.size(); i++) { structRow.add(parseField(map.get(structNames.get(i)), structTypes.get(i))); } } return structRow; }
Example 13
Source File: CobolDeserializer.java From Cobol-to-Hive with Apache License 2.0 | 5 votes |
private Object deserializeStruct(String columnName, StructTypeInfo columnType) { // No equivalent Java type for the backing structure, need to recurse // and build a list ArrayList<TypeInfo> innerFieldTypes = (ArrayList<TypeInfo>) columnType .getAllStructFieldTypeInfos(); List<Object> innerObjectRow = new ArrayList<Object>( innerFieldTypes.size()); List<String> innerColumnNames = columnType.getAllStructFieldNames(); rowElements.add(""); fieldNo++; return workerBase(innerObjectRow, innerFieldTypes.size(), innerColumnNames, innerFieldTypes); }
Example 14
Source File: HiveDynamoDBMapType.java From emr-dynamodb-connector with Apache License 2.0 | 5 votes |
@Override public boolean supportsHiveType(TypeInfo typeInfo) { try { switch (typeInfo.getCategory()) { case MAP: MapTypeInfo mapTypeInfo = (MapTypeInfo) typeInfo; if (!mapTypeInfo.getMapKeyTypeInfo().equals(TypeInfoFactory.stringTypeInfo)) { return false; } TypeInfo valueTypeInfo = mapTypeInfo.getMapValueTypeInfo(); HiveDynamoDBTypeFactory.getTypeObjectFromHiveType(valueTypeInfo); return true; case STRUCT: StructTypeInfo structTypeInfo = (StructTypeInfo) typeInfo; for (TypeInfo fieldTypeInfo : structTypeInfo.getAllStructFieldTypeInfos()) { HiveDynamoDBTypeFactory.getTypeObjectFromHiveType(fieldTypeInfo); } return true; default: return false; } } catch (IllegalArgumentException e) { return false; } }
Example 15
Source File: HiveInspectors.java From flink with Apache License 2.0 | 5 votes |
private static ObjectInspector getObjectInspector(TypeInfo type) { switch (type.getCategory()) { case PRIMITIVE: PrimitiveTypeInfo primitiveType = (PrimitiveTypeInfo) type; return PrimitiveObjectInspectorFactory.getPrimitiveJavaObjectInspector(primitiveType); case LIST: ListTypeInfo listType = (ListTypeInfo) type; return ObjectInspectorFactory.getStandardListObjectInspector( getObjectInspector(listType.getListElementTypeInfo())); case MAP: MapTypeInfo mapType = (MapTypeInfo) type; return ObjectInspectorFactory.getStandardMapObjectInspector( getObjectInspector(mapType.getMapKeyTypeInfo()), getObjectInspector(mapType.getMapValueTypeInfo())); case STRUCT: StructTypeInfo structType = (StructTypeInfo) type; List<TypeInfo> fieldTypes = structType.getAllStructFieldTypeInfos(); List<ObjectInspector> fieldInspectors = new ArrayList<ObjectInspector>(); for (TypeInfo fieldType : fieldTypes) { fieldInspectors.add(getObjectInspector(fieldType)); } return ObjectInspectorFactory.getStandardStructObjectInspector( structType.getAllStructFieldNames(), fieldInspectors); default: throw new CatalogException("Unsupported Hive type category " + type.getCategory()); } }
Example 16
Source File: HiveTypeUtil.java From flink with Apache License 2.0 | 5 votes |
/** * Convert Hive data type to a Flink data type. * * @param hiveType a Hive data type * @return the corresponding Flink data type */ public static DataType toFlinkType(TypeInfo hiveType) { checkNotNull(hiveType, "hiveType cannot be null"); switch (hiveType.getCategory()) { case PRIMITIVE: return toFlinkPrimitiveType((PrimitiveTypeInfo) hiveType); case LIST: ListTypeInfo listTypeInfo = (ListTypeInfo) hiveType; return DataTypes.ARRAY(toFlinkType(listTypeInfo.getListElementTypeInfo())); case MAP: MapTypeInfo mapTypeInfo = (MapTypeInfo) hiveType; return DataTypes.MAP(toFlinkType(mapTypeInfo.getMapKeyTypeInfo()), toFlinkType(mapTypeInfo.getMapValueTypeInfo())); case STRUCT: StructTypeInfo structTypeInfo = (StructTypeInfo) hiveType; List<String> names = structTypeInfo.getAllStructFieldNames(); List<TypeInfo> typeInfos = structTypeInfo.getAllStructFieldTypeInfos(); DataTypes.Field[] fields = new DataTypes.Field[names.size()]; for (int i = 0; i < fields.length; i++) { fields[i] = DataTypes.FIELD(names.get(i), toFlinkType(typeInfos.get(i))); } return DataTypes.ROW(fields); default: throw new UnsupportedOperationException( String.format("Flink doesn't support Hive data type %s yet.", hiveType)); } }
Example 17
Source File: XmlObjectInspectorFactory.java From Hive-XML-SerDe with Apache License 2.0 | 5 votes |
/** * Returns the standard java object inspector * * @param typeInfo * the type info * @param xmlProcessor * the XML processor * @return the standard java object inspector */ public static ObjectInspector getStandardJavaObjectInspectorFromTypeInfo(TypeInfo typeInfo, XmlProcessor xmlProcessor) { switch (typeInfo.getCategory()) { case PRIMITIVE: { return PrimitiveObjectInspectorFactory.getPrimitiveJavaObjectInspector(((PrimitiveTypeInfo) typeInfo).getPrimitiveCategory()); } case LIST: { ObjectInspector listElementObjectInspector = getStandardJavaObjectInspectorFromTypeInfo(((ListTypeInfo) typeInfo).getListElementTypeInfo(), xmlProcessor); return new XmlListObjectInspector(listElementObjectInspector, xmlProcessor); } case MAP: { MapTypeInfo mapTypeInfo = (MapTypeInfo) typeInfo; ObjectInspector mapKeyObjectInspector = getStandardJavaObjectInspectorFromTypeInfo(mapTypeInfo.getMapKeyTypeInfo(), xmlProcessor); ObjectInspector mapValueObjectInspector = getStandardJavaObjectInspectorFromTypeInfo(mapTypeInfo.getMapValueTypeInfo(), xmlProcessor); return new XmlMapObjectInspector(mapKeyObjectInspector, mapValueObjectInspector, xmlProcessor); } case STRUCT: { StructTypeInfo structTypeInfo = (StructTypeInfo) typeInfo; List<String> structFieldNames = structTypeInfo.getAllStructFieldNames(); List<TypeInfo> fieldTypeInfos = structTypeInfo.getAllStructFieldTypeInfos(); List<ObjectInspector> structFieldObjectInspectors = new ArrayList<ObjectInspector>(fieldTypeInfos.size()); for (int fieldIndex = 0; fieldIndex < fieldTypeInfos.size(); ++fieldIndex) { structFieldObjectInspectors.add(getStandardJavaObjectInspectorFromTypeInfo(fieldTypeInfos.get(fieldIndex), xmlProcessor)); } return getStandardStructObjectInspector(structFieldNames, structFieldObjectInspectors, xmlProcessor); } default: { throw new IllegalStateException(); } } }
Example 18
Source File: SingleLevelArrayMapKeyValuesSchemaConverter.java From presto with Apache License 2.0 | 4 votes |
private static GroupType convertStructType(String name, StructTypeInfo typeInfo, Repetition repetition) { List<String> columnNames = typeInfo.getAllStructFieldNames(); List<TypeInfo> columnTypes = typeInfo.getAllStructFieldTypeInfos(); return new GroupType(repetition, name, convertTypes(columnNames, columnTypes)); }
Example 19
Source File: HiveSchemaConverter.java From parquet-mr with Apache License 2.0 | 4 votes |
private static GroupType convertStructType(final String name, final StructTypeInfo typeInfo) { final List<String> columnNames = typeInfo.getAllStructFieldNames(); final List<TypeInfo> columnTypes = typeInfo.getAllStructFieldTypeInfos(); return new GroupType(Repetition.OPTIONAL, name, convertTypes(columnNames, columnTypes)); }
Example 20
Source File: MapKeyValuesSchemaConverter.java From presto with Apache License 2.0 | 4 votes |
private static GroupType convertStructType(String name, StructTypeInfo typeInfo) { List<String> columnNames = typeInfo.getAllStructFieldNames(); List<TypeInfo> columnTypes = typeInfo.getAllStructFieldTypeInfos(); return new GroupType(Repetition.OPTIONAL, name, convertTypes(columnNames, columnTypes)); }