He Tianyi created MAPREDUCE-6712:
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Summary: Support grouping values for reducer on java-side
Key: MAPREDUCE-6712
URL: https://issues.apache.org/jira/browse/MAPREDUCE-6712
Project: Hadoop Map/Reduce
Issue Type: Improvement
Components: contrib/streaming
Reporter: He Tianyi
Priority: Minor
In hadoop streaming, with TextInputWriter, reducer program will receive each
line representing a (k, v) tuple from {{stdin}}, in which values with identical
key is not grouped.
This brings some inefficiency, especially for runtimes based on interpreter
(e.g. cpython), coming from:
A. user program has to compare key with previous one (but on java side, records
already come to reducer in groups),
B. user program has to perform {{read}}, then {{find}} or {{split}} on each
record. even if there are multiple values with identical key,
C. if length of key is large, apparently this introduces inefficiency for
caching,
Suppose we need another InputWriter. But this is not enough, since the
interface of {{InputWriter}} defined {{writeKey}} and {{writeValue}}, not
{{writeValues}}. Though we can compare key in custom InputWriter and group
them, but this is also inefficient. Some other changes are also needed.
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