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Posted to common-dev@hadoop.apache.org by "Owen O'Malley (JIRA)" <ji...@apache.org> on 2008/05/07 20:19:04 UTC
[jira] Assigned: (HADOOP-3341) make key-value separators in hadoop
streaming fully configurable
[ https://issues.apache.org/jira/browse/HADOOP-3341?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Owen O'Malley reassigned HADOOP-3341:
-------------------------------------
Assignee: Zheng Shao
> make key-value separators in hadoop streaming fully configurable
> ----------------------------------------------------------------
>
> Key: HADOOP-3341
> URL: https://issues.apache.org/jira/browse/HADOOP-3341
> Project: Hadoop Core
> Issue Type: Improvement
> Components: contrib/streaming
> Reporter: Zheng Shao
> Assignee: Zheng Shao
> Attachments: 3341-1.patch
>
>
> By default, hadoop streaming uses TAB as the separator in all places. However in some environments, user may want to use customized separators (e.g, ^A = \u0001).
> The separator logic in hadoop streaming is very convoluted. Here is a brief summary:
> InputFormat {
> KeyValueLineRecordReader.java:59:
> S1: String sepStr = job.get("key.value.separator.in.input.line", "\t");
> }
> Mapper {
> PipeMapper.java:88:
> S2: clientOut_.write('\t');
> Call mapper process
> PipeMapRed.java:124:
> S3: String mapOutputFieldSeparator = job_.get("stream.map.output.field.separator", "\t");
> PipeMapRed.java:128:
> this.numOfMapOutputKeyFields = job_.getInt("stream.num.map.output.key.fields", 1);
> }
> Reducer {
> PipeReducer.java:78:
> S4: clientOut_.write('\t');
> Call reducer process
> PipeMapRed.java:125:
> S5: String reduceOutputFieldSeparator = job_.get("stream.reduce.output.field.separator", "\t");
> PipeMapRed.java:129:
> this.numOfReduceOutputKeyFields = job_.getInt("stream.num.reduce.output.key.fields", 1);
> }
> OutputFormat {
> TextOuputFormat.java:112:
> S6: String keyValueSeparator = job.get("mapred.textoutputformat.separator", "\t");
> }
> Short-cuts:
> 1. In case we use "TextInputFormat", S1 and S2 are not used at all. Lines are directly feed into the mapper (through the value part of the key-value pair - keys, which are offsets, are directly ignored).
> 2. For jobs with no reducers, The "Reducer" step is skipped.
> We need to make S3 and S4 configurable, possibly under the following names for conformity:
> stream.map.input.field.separator
> stream.reduce.input.field.separator
> Then, by specifying: -jobconf key.value.separator.in.input.line=^A -jobconf stream.map.input.field.separator=^A -jobconf stream.map.output.field.separator=^A -jobconf stream.reducer.input.field.separator=^A -jobconf stream.reducer.output.field.separator=^A -jobconf mapred.textoutputformat.separator=^A, we will be able to use ^A instead of TAB in every place!
> Maybe hadoop streaming can also provide a single option to override these 6 options.
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