org.apache.phoenix.mapreduce.CsvToKeyValueMapper Maven / Gradle / Ivy
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* to you under the Apache License, Version 2.0 (the
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* http://www.apache.org/licenses/LICENSE-2.0
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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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