HiveStorageFormat.java example

Explorer
presto-master
/*
 * 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 com.facebook.presto.hive;

import com.facebook.presto.spi.PrestoException;
import io.airlift.units.DataSize;
import io.airlift.units.DataSize.Unit;
import org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat;
import org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat;
import org.apache.hadoop.hive.ql.io.RCFileInputFormat;
import org.apache.hadoop.hive.ql.io.RCFileOutputFormat;
import org.apache.hadoop.hive.ql.io.avro.AvroContainerInputFormat;
import org.apache.hadoop.hive.ql.io.avro.AvroContainerOutputFormat;
import org.apache.hadoop.hive.ql.io.orc.OrcInputFormat;
import org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat;
import org.apache.hadoop.hive.ql.io.orc.OrcSerde;
import org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat;
import org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat;
import org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe;
import org.apache.hadoop.hive.serde2.avro.AvroSerDe;
import org.apache.hadoop.hive.serde2.columnar.ColumnarSerDe;
import org.apache.hadoop.hive.serde2.columnar.LazyBinaryColumnarSerDe;
import org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector.Category;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory;
import org.apache.hadoop.hive.serde2.typeinfo.MapTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.mapred.SequenceFileInputFormat;
import org.apache.hadoop.mapred.TextInputFormat;
import org.apache.hive.hcatalog.data.JsonSerDe;

import java.util.List;

import static com.facebook.presto.spi.StandardErrorCode.NOT_SUPPORTED;
import static java.lang.String.format;
import static java.util.Objects.requireNonNull;

public enum HiveStorageFormat
{
    ORC(
            OrcSerde.class.getName(),
            OrcInputFormat.class.getName(),
            OrcOutputFormat.class.getName(),
            new DataSize(256, Unit.MEGABYTE)),
    DWRF(
            com.facebook.hive.orc.OrcSerde.class.getName(),
            com.facebook.hive.orc.OrcInputFormat.class.getName(),
            com.facebook.hive.orc.OrcOutputFormat.class.getName(),
            new DataSize(256, Unit.MEGABYTE)),
    PARQUET(
            ParquetHiveSerDe.class.getName(),
            MapredParquetInputFormat.class.getName(),
            MapredParquetOutputFormat.class.getName(),
            new DataSize(128, Unit.MEGABYTE)),
    AVRO(
            AvroSerDe.class.getName(),
            AvroContainerInputFormat.class.getName(),
            AvroContainerOutputFormat.class.getName(),
            new DataSize(64, Unit.MEGABYTE)),
    RCBINARY(
            LazyBinaryColumnarSerDe.class.getName(),
            RCFileInputFormat.class.getName(),
            RCFileOutputFormat.class.getName(),
            new DataSize(8, Unit.MEGABYTE)),
    RCTEXT(
            ColumnarSerDe.class.getName(),
            RCFileInputFormat.class.getName(),
            RCFileOutputFormat.class.getName(),
            new DataSize(8, Unit.MEGABYTE)),
    SEQUENCEFILE(
            LazySimpleSerDe.class.getName(),
            SequenceFileInputFormat.class.getName(),
            HiveSequenceFileOutputFormat.class.getName(),
            new DataSize(8, Unit.MEGABYTE)),
    JSON(JsonSerDe.class.getName(),
            TextInputFormat.class.getName(),
            HiveIgnoreKeyTextOutputFormat.class.getName(),
            new DataSize(8, Unit.MEGABYTE)),
    TEXTFILE(LazySimpleSerDe.class.getName(),
            TextInputFormat.class.getName(),
            HiveIgnoreKeyTextOutputFormat.class.getName(),
            new DataSize(8, Unit.MEGABYTE));

    private final String serde;
    private final String inputFormat;
    private final String outputFormat;
    private final DataSize estimatedWriterSystemMemoryUsage;

    HiveStorageFormat(String serde, String inputFormat, String outputFormat, DataSize estimatedWriterSystemMemoryUsage)
    {
        this.serde = requireNonNull(serde, "serde is null");
        this.inputFormat = requireNonNull(inputFormat, "inputFormat is null");
        this.outputFormat = requireNonNull(outputFormat, "outputFormat is null");
        this.estimatedWriterSystemMemoryUsage = requireNonNull(estimatedWriterSystemMemoryUsage, "estimatedWriterSystemMemoryUsage is null");
    }

    public String getSerDe()
    {
        return serde;
    }

    public String getInputFormat()
    {
        return inputFormat;
    }

    public String getOutputFormat()
    {
        return outputFormat;
    }

    public DataSize getEstimatedWriterSystemMemoryUsage()
    {
        return estimatedWriterSystemMemoryUsage;
    }

    public void validateColumns(List<HiveColumnHandle> handles)
    {
        if (this == AVRO) {
            for (HiveColumnHandle handle : handles) {
                if (!handle.isPartitionKey()) {
                    validateAvroType(handle.getHiveType().getTypeInfo(), handle.getName());
                }
            }
        }
    }

    private static void validateAvroType(TypeInfo type, String columnName)
    {
        if (type.getCategory() == Category.MAP) {
            TypeInfo keyType = mapTypeInfo(type).getMapKeyTypeInfo();
            if ((keyType.getCategory() != Category.PRIMITIVE) ||
                    (primitiveTypeInfo(keyType).getPrimitiveCategory() != PrimitiveCategory.STRING)) {
                throw new PrestoException(NOT_SUPPORTED, format("Column %s has a non-varchar map key, which is not supported by Avro", columnName));
            }
        }
        else if (type.getCategory() == Category.PRIMITIVE) {
            PrimitiveCategory primitive = primitiveTypeInfo(type).getPrimitiveCategory();
            if (primitive == PrimitiveCategory.BYTE) {
                throw new PrestoException(NOT_SUPPORTED, format("Column %s is tinyint, which is not supported by Avro. Use integer instead.", columnName));
            }
            if (primitive == PrimitiveCategory.SHORT) {
                throw new PrestoException(NOT_SUPPORTED, format("Column %s is smallint, which is not supported by Avro. Use integer instead.", columnName));
            }
        }
    }

    private static PrimitiveTypeInfo primitiveTypeInfo(TypeInfo typeInfo)
    {
        return (PrimitiveTypeInfo) typeInfo;
    }

    private static MapTypeInfo mapTypeInfo(TypeInfo typeInfo)
    {
        return (MapTypeInfo) typeInfo;
    }
}