1、問題：HDFS文件上列分隔符是##，hive建表時直接用##，發現輸出的字段和文件不一致。

? ? ? 建表語句如下：

? ? ??

ROW FORMAT DELIMITED FIELDS TERMINATED BY '##' STORED AS INPUTFORMAT 'org.apache.hadoop.mapred.TextInputFormat' OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat' LOCATION'hdfs://nameservice-ha/pgw/gz'

2、原因：hive創建表指定分隔符時，不支持多個字符作為分隔符。

? ? ?上述就只能用#，簡單解決辦法就是寫個MR程序將兩個##改成一個#。

3、解決：Hive要支持多個字符作為分割符，需要自定義InputFormat.，重寫next方法。

? ? ?代碼如下：

? ??

package com.hive;import java.io.IOException;import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapred.FileSplit; import org.apache.hadoop.mapred.InputSplit; import org.apache.hadoop.mapred.JobConf; import org.apache.hadoop.mapred.JobConfigurable; import org.apache.hadoop.mapred.RecordReader; import org.apache.hadoop.mapred.Reporter; import org.apache.hadoop.mapred.TextInputFormat;public class DefTextInputFormat extends TextInputFormat implements JobConfigurable {public RecordReader<LongWritable, Text> getRecordReader(InputSplit genericSplit, JobConf job, Reporter reporter) throws IOException {reporter.setStatus(genericSplit.toString());return new DefRecordReader((FileSplit)genericSplit, job);} }

package com.hive;import java.io.IOException; import java.io.InputStream;import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FSDataInputStream; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.io.compress.CompressionCodec; import org.apache.hadoop.io.compress.CompressionCodecFactory; import org.apache.hadoop.mapred.FileSplit; import org.apache.hadoop.mapred.RecordReader; import org.apache.hadoop.util.LineReader;public class DefRecordReader implements RecordReader<LongWritable, Text> {private CompressionCodecFactory compressionCodecs = null;private long start;private long pos;private long end;private LineReader lineReader;int maxLineLength;// 構造方法public DefRecordReader(FileSplit inputSplit, Configuration job) throws IOException {maxLineLength = job.getInt("mapred.mutilCharRecordReader.maxlength",Integer.MAX_VALUE);start = inputSplit.getStart();end = start + inputSplit.getLength();final Path file = inputSplit.getPath();// 創建壓縮器compressionCodecs = new CompressionCodecFactory(job);final CompressionCodec codec = compressionCodecs.getCodec(file);// 打開文件系統FileSystem fs = file.getFileSystem(job);FSDataInputStream fileIn = fs.open(file);boolean skipFirstLine = false;if (codec != null) {lineReader = new LineReader(codec.createInputStream(fileIn), job);end = Long.MAX_VALUE;} else {if (start != 0) {skipFirstLine = true;--start;fileIn.seek(start);}lineReader = new LineReader(fileIn, job);}if (skipFirstLine) {start += lineReader.readLine(new Text(), 0,(int) Math.min((long) Integer.MAX_VALUE, end - start));}this.pos = start;}public DefRecordReader(InputStream in, long offset, long endOffset, int maxLineLength) {this.maxLineLength = maxLineLength;this.start = offset;this.lineReader = new LineReader(in);this.pos = offset;this.end = endOffset;}public DefRecordReader(InputStream in, long offset, long endOffset, Configuration job) throws IOException {this.maxLineLength = job.getInt("mapred.mutilCharRecordReader.maxlength", Integer.MAX_VALUE);this.lineReader = new LineReader(in, job);this.start = offset;this.end = endOffset;}@Overridepublic void close() throws IOException {if (lineReader != null)lineReader.close();}@Overridepublic LongWritable createKey() {return new LongWritable();}@Overridepublic Text createValue() {return new Text();}@Overridepublic long getPos() throws IOException {return pos;}@Overridepublic float getProgress() throws IOException {if (start == end) {return 0.0f;} else {return Math.min(1.0f, (pos - start) / (float) (end - start));}}@Override//重構next方法，處理行中字符，將多個列分割字符變成1個列分割字符public boolean next(LongWritable key, Text value) throws IOException {while (pos < end) {key.set(pos);int newSize = lineReader.readLine(value, maxLineLength,Math.max((int) Math.min(Integer.MAX_VALUE, end - pos),maxLineLength));// 把字符串中的"##"轉變為"#"String strReplace = value.toString().replace("##", "#");Text txtReplace = new Text();txtReplace.set(strReplace);value.set(txtReplace.getBytes(), 0, txtReplace.getLength());if (newSize == 0)return false;pos += newSize;if (newSize < maxLineLength)return true;}return false;} }

在建表時，指定com.hive.DefTextInputFormat類為INPUTFORMAT 。

當然要先將這兩個類打包成jar部署到Hive的運行環境中，可參考http://blog.csdn.net/fjssharpsword/article/details/70271671

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