com.cloudera.impala.catalog.HiveStorageDescriptorFactory.java Source code

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// Copyright 2012 Cloudera Inc.
//
// 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.cloudera.impala.catalog;

import java.util.HashMap;

import org.apache.hadoop.hive.metastore.api.StorageDescriptor;

import com.cloudera.impala.thrift.THdfsFileFormat;
import com.google.common.base.Preconditions;

public class HiveStorageDescriptorFactory {
    /**
     * Creates and returns a Hive StoreDescriptor for the given FileFormat and RowFormat.
     * Currently supports creating StorageDescriptors for Parquet, Text, Sequence, and
     * RC file.
     * TODO: Add support for HBase
     */
    public static StorageDescriptor createSd(THdfsFileFormat fileFormat, RowFormat rowFormat) {
        Preconditions.checkNotNull(fileFormat);
        Preconditions.checkNotNull(rowFormat);

        StorageDescriptor sd = null;
        switch (fileFormat) {
        case PARQUET:
            sd = createParquetFileSd();
            break;
        case RC_FILE:
            sd = createRcFileSd();
            break;
        case SEQUENCE_FILE:
            sd = createSequenceFileSd();
            break;
        case TEXT:
            sd = createTextSd();
            break;
        case AVRO:
            sd = createAvroSd();
            break;
        default:
            throw new UnsupportedOperationException("Unsupported file format: " + fileFormat);
        }

        if (rowFormat.getFieldDelimiter() != null) {
            sd.getSerdeInfo().putToParameters("serialization.format", rowFormat.getFieldDelimiter());
            sd.getSerdeInfo().putToParameters("field.delim", rowFormat.getFieldDelimiter());
        }
        if (rowFormat.getEscapeChar() != null) {
            sd.getSerdeInfo().putToParameters("escape.delim", rowFormat.getEscapeChar());
        }
        if (rowFormat.getLineDelimiter() != null) {
            sd.getSerdeInfo().putToParameters("line.delim", rowFormat.getLineDelimiter());
        }
        return sd;
    }

    private static StorageDescriptor createParquetFileSd() {
        StorageDescriptor sd = createGenericSd();
        sd.setInputFormat("parquet.hive.DeprecatedParquetInputFormat");
        sd.setOutputFormat("parquet.hive.DeprecatedParquetOutputFormat");
        // TODO: Should we use "org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe"?
        sd.getSerdeInfo().setSerializationLib("parquet.hive.serde.ParquetHiveSerDe");
        return sd;
    }

    private static StorageDescriptor createTextSd() {
        StorageDescriptor sd = createGenericSd();
        sd.setInputFormat(org.apache.hadoop.mapred.TextInputFormat.class.getName());
        sd.setOutputFormat(org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat.class.getName());
        sd.getSerdeInfo().setSerializationLib(org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe.class.getName());
        return sd;
    }

    private static StorageDescriptor createSequenceFileSd() {
        StorageDescriptor sd = createGenericSd();
        sd.setInputFormat(org.apache.hadoop.mapred.SequenceFileInputFormat.class.getName());
        sd.setOutputFormat(org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat.class.getName());
        sd.getSerdeInfo().setSerializationLib(org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe.class.getName());
        return sd;
    }

    private static StorageDescriptor createRcFileSd() {
        StorageDescriptor sd = createGenericSd();
        sd.setInputFormat(org.apache.hadoop.hive.ql.io.RCFileInputFormat.class.getName());
        sd.setOutputFormat(org.apache.hadoop.hive.ql.io.RCFileOutputFormat.class.getName());
        sd.getSerdeInfo().setSerializationLib(org.apache.hadoop.hive.serde2.columnar.ColumnarSerDe.class.getName());
        return sd;
    }

    private static StorageDescriptor createAvroSd() {
        StorageDescriptor sd = createGenericSd();
        sd.setInputFormat(org.apache.hadoop.hive.ql.io.avro.AvroContainerInputFormat.class.getName());
        sd.setOutputFormat(org.apache.hadoop.hive.ql.io.avro.AvroContainerOutputFormat.class.getName());
        sd.getSerdeInfo().setSerializationLib(org.apache.hadoop.hive.serde2.avro.AvroSerDe.class.getName());
        // Writing compressed Avro tables is done using a session level configuration
        // setting, it is not specified as part of the table metadata. The compression
        // property of the StorageDescriptor has a different purpose.
        return sd;
    }

    /**
     * Creates a new StorageDescriptor with options common to all storage formats.
     */
    private static StorageDescriptor createGenericSd() {
        StorageDescriptor sd = new StorageDescriptor();
        sd.setSerdeInfo(new org.apache.hadoop.hive.metastore.api.SerDeInfo());
        sd.getSerdeInfo().setParameters(new HashMap<String, String>());
        // The compressed flag is not used to determine whether the table is compressed or
        // not. Instead, we use the input format or the filename.
        sd.setCompressed(false);
        return sd;
    }
}