/**
* 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.apache.hadoop.hive.ql.io.parquet.convert;
import java.util.List;
import org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe;
import org.apache.hadoop.hive.serde.serdeConstants;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector.Category;
import org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.MapTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
import parquet.schema.ConversionPatterns;
import parquet.schema.GroupType;
import parquet.schema.MessageType;
import parquet.schema.OriginalType;
import parquet.schema.PrimitiveType;
import parquet.schema.PrimitiveType.PrimitiveTypeName;
import parquet.schema.Type;
import parquet.schema.Type.Repetition;
import parquet.schema.Types;
public class HiveSchemaConverter {
public static MessageType convert(final List<String> columnNames, final List<TypeInfo> columnTypes) {
final MessageType schema = new MessageType("hive_schema", convertTypes(columnNames, columnTypes));
return schema;
}
private static Type[] convertTypes(final List<String> columnNames, final List<TypeInfo> columnTypes) {
if (columnNames.size() != columnTypes.size()) {
throw new IllegalStateException("Mismatched Hive columns and types. Hive columns names" +
" found : " + columnNames + " . And Hive types found : " + columnTypes);
}
final Type[] types = new Type[columnNames.size()];
for (int i = 0; i < columnNames.size(); ++i) {
types[i] = convertType(columnNames.get(i), columnTypes.get(i));
}
return types;
}
private static Type convertType(final String name, final TypeInfo typeInfo) {
return convertType(name, typeInfo, Repetition.OPTIONAL);
}
private static Type convertType(final String name, final TypeInfo typeInfo, final Repetition repetition) {
if (typeInfo.getCategory().equals(Category.PRIMITIVE)) {
if (typeInfo.equals(TypeInfoFactory.stringTypeInfo)) {
return new PrimitiveType(repetition, PrimitiveTypeName.BINARY, name, OriginalType.UTF8);
} else if (typeInfo.equals(TypeInfoFactory.intTypeInfo) ||
typeInfo.equals(TypeInfoFactory.shortTypeInfo) ||
typeInfo.equals(TypeInfoFactory.byteTypeInfo)) {
return new PrimitiveType(repetition, PrimitiveTypeName.INT32, name);
} else if (typeInfo.equals(TypeInfoFactory.longTypeInfo)) {
return new PrimitiveType(repetition, PrimitiveTypeName.INT64, name);
} else if (typeInfo.equals(TypeInfoFactory.doubleTypeInfo)) {
return new PrimitiveType(repetition, PrimitiveTypeName.DOUBLE, name);
} else if (typeInfo.equals(TypeInfoFactory.floatTypeInfo)) {
return new PrimitiveType(repetition, PrimitiveTypeName.FLOAT, name);
} else if (typeInfo.equals(TypeInfoFactory.booleanTypeInfo)) {
return new PrimitiveType(repetition, PrimitiveTypeName.BOOLEAN, name);
} else if (typeInfo.equals(TypeInfoFactory.binaryTypeInfo)) {
// TODO : binaryTypeInfo is a byte array. Need to map it
throw new UnsupportedOperationException("Binary type not implemented");
} else if (typeInfo.equals(TypeInfoFactory.timestampTypeInfo)) {
return new PrimitiveType(repetition, PrimitiveTypeName.INT96, name);
} else if (typeInfo.equals(TypeInfoFactory.voidTypeInfo)) {
throw new UnsupportedOperationException("Void type not implemented");
} else if (typeInfo.getTypeName().toLowerCase().startsWith(
serdeConstants.CHAR_TYPE_NAME)) {
return Types.optional(PrimitiveTypeName.BINARY).as(OriginalType.UTF8)
.named(name);
} else if (typeInfo.getTypeName().toLowerCase().startsWith(
serdeConstants.VARCHAR_TYPE_NAME)) {
return Types.optional(PrimitiveTypeName.BINARY).as(OriginalType.UTF8)
.named(name);
} else if (typeInfo instanceof DecimalTypeInfo) {
DecimalTypeInfo decimalTypeInfo = (DecimalTypeInfo) typeInfo;
int prec = decimalTypeInfo.precision();
int scale = decimalTypeInfo.scale();
int bytes = ParquetHiveSerDe.PRECISION_TO_BYTE_COUNT[prec - 1];
return Types.optional(PrimitiveTypeName.FIXED_LEN_BYTE_ARRAY).length(bytes).as(OriginalType.DECIMAL).
scale(scale).precision(prec).named(name);
} else if (typeInfo.equals(TypeInfoFactory.unknownTypeInfo)) {
throw new UnsupportedOperationException("Unknown type not implemented");
} else {
throw new IllegalArgumentException("Unknown type: " + typeInfo);
}
} else if (typeInfo.getCategory().equals(Category.LIST)) {
return convertArrayType(name, (ListTypeInfo) typeInfo);
} else if (typeInfo.getCategory().equals(Category.STRUCT)) {
return convertStructType(name, (StructTypeInfo) typeInfo);
} else if (typeInfo.getCategory().equals(Category.MAP)) {
return convertMapType(name, (MapTypeInfo) typeInfo);
} else if (typeInfo.getCategory().equals(Category.UNION)) {
throw new UnsupportedOperationException("Union type not implemented");
} else {
throw new IllegalArgumentException("Unknown type: " + typeInfo);
}
}
// An optional group containing a repeated anonymous group "bag", containing
// 1 anonymous element "array_element"
private static GroupType convertArrayType(final String name, final ListTypeInfo typeInfo) {
final TypeInfo subType = typeInfo.getListElementTypeInfo();
return listWrapper(name, OriginalType.LIST, new GroupType(Repetition.REPEATED,
ParquetHiveSerDe.ARRAY.toString(), convertType("array_element", subType)));
}
// An optional group containing multiple elements
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));
}
// An optional group containing a repeated anonymous group "map", containing
// 2 elements: "key", "value"
private static GroupType convertMapType(final String name, final MapTypeInfo typeInfo) {
final Type keyType = convertType(ParquetHiveSerDe.MAP_KEY.toString(),
typeInfo.getMapKeyTypeInfo(), Repetition.REQUIRED);
final Type valueType = convertType(ParquetHiveSerDe.MAP_VALUE.toString(),
typeInfo.getMapValueTypeInfo());
return ConversionPatterns.mapType(Repetition.OPTIONAL, name, keyType, valueType);
}
private static GroupType listWrapper(final String name, final OriginalType originalType,
final GroupType groupType) {
return new GroupType(Repetition.OPTIONAL, name, originalType, groupType);
}
}