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/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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.phoenix.mapreduce;

import java.io.IOException;
import java.io.StringReader;
import java.util.List;

import org.apache.commons.csv.CSVFormat;
import org.apache.commons.csv.CSVParser;
import org.apache.commons.csv.CSVRecord;
import org.apache.hadoop.conf.Configuration;
import org.apache.phoenix.util.CSVCommonsLoader;
import org.apache.phoenix.util.ColumnInfo;
import org.apache.phoenix.util.UpsertExecutor;
import org.apache.phoenix.util.csv.CsvUpsertExecutor;

import com.google.common.annotations.VisibleForTesting;
import com.google.common.base.Preconditions;
import com.google.common.collect.Iterables;

/**
 * MapReduce mapper that converts CSV input lines into KeyValues that can be written to HFiles.
 * 

* KeyValues are produced by executing UPSERT statements on a Phoenix connection and then * extracting the created KeyValues and rolling back the statement execution before it is * committed to HBase. */ public class CsvToKeyValueMapper extends FormatToBytesWritableMapper { /** Configuration key for the field delimiter for input csv records */ public static final String FIELD_DELIMITER_CONFKEY = "phoenix.mapreduce.import.fielddelimiter"; /** Configuration key for the quote char for input csv records */ public static final String QUOTE_CHAR_CONFKEY = "phoenix.mapreduce.import.quotechar"; /** Configuration key for the escape char for input csv records */ public static final String ESCAPE_CHAR_CONFKEY = "phoenix.mapreduce.import.escapechar"; /** Configuration key for the array element delimiter for input arrays */ public static final String ARRAY_DELIMITER_CONFKEY = "phoenix.mapreduce.import.arraydelimiter"; private CsvLineParser lineParser; @Override protected LineParser getLineParser() { return lineParser; } @Override protected void setup(Context context) throws IOException, InterruptedException { super.setup(context); Configuration conf = context.getConfiguration(); lineParser = new CsvLineParser( CsvBulkImportUtil.getCharacter(conf, FIELD_DELIMITER_CONFKEY), CsvBulkImportUtil.getCharacter(conf, QUOTE_CHAR_CONFKEY), CsvBulkImportUtil.getCharacter(conf, ESCAPE_CHAR_CONFKEY)); } @VisibleForTesting @Override protected UpsertExecutor buildUpsertExecutor(Configuration conf) { String tableName = conf.get(TABLE_NAME_CONFKEY); String arraySeparator = conf.get(ARRAY_DELIMITER_CONFKEY, CSVCommonsLoader.DEFAULT_ARRAY_ELEMENT_SEPARATOR); Preconditions.checkNotNull(tableName, "table name is not configured"); List columnInfoList = buildColumnInfoList(conf); return new CsvUpsertExecutor(conn, tableName, columnInfoList, upsertListener, arraySeparator); } /** * Parses a single CSV input line, returning a {@code CSVRecord}. */ @VisibleForTesting static class CsvLineParser implements LineParser { private final CSVFormat csvFormat; CsvLineParser(char fieldDelimiter, char quote, char escape) { this.csvFormat = CSVFormat.DEFAULT .withIgnoreEmptyLines(true) .withDelimiter(fieldDelimiter) .withEscape(escape) .withQuote(quote); } @Override public CSVRecord parse(String input) throws IOException { // TODO Creating a new parser for each line seems terribly inefficient but // there's no public way to parse single lines via commons-csv. We should update // it to create a LineParser class like this one. CSVParser csvParser = new CSVParser(new StringReader(input), csvFormat); return Iterables.getFirst(csvParser, null); } } }





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