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| author | Bryan Newbold <bnewbold@archive.org> | 2018-05-21 11:59:14 -0700 |
|---|---|---|
| committer | Bryan Newbold <bnewbold@archive.org> | 2018-05-21 11:59:14 -0700 |
| commit | ca8c5dedea7907cf26ec63309f4e99030e644351 (patch) | |
| tree | 08c944c1cd0ed90d10a5171bbb56d89e82be53d9 /jvm-mapreduce | |
| parent | 53c2b11d4d234d933742651051ef57ca3c145382 (diff) | |
| download | sandcrawler-ca8c5dedea7907cf26ec63309f4e99030e644351.tar.gz sandcrawler-ca8c5dedea7907cf26ec63309f4e99030e644351.zip | |
success running with com.twitter.scalding.Tool
Diffstat (limited to 'jvm-mapreduce')
| -rw-r--r-- | jvm-mapreduce/learning.txt | 9 |
1 files changed, 9 insertions, 0 deletions
diff --git a/jvm-mapreduce/learning.txt b/jvm-mapreduce/learning.txt index 1fe64bd..6fe1442 100644 --- a/jvm-mapreduce/learning.txt +++ b/jvm-mapreduce/learning.txt @@ -12,6 +12,15 @@ Or, with actual files on hadoop: Horray! One issue with this was that building scalding took *forever* (meaning 30+ minutes). +potentially instead: + + hadoop jar scald-mvp-assembly-0.1.0-SNAPSHOT.jar com.twitter.scalding.Tool main.scala.example.WordCountJob --hdfs --input hdfs:///user/bnewbold/dummy.txt --output hdfs:///user/bnewbold/test_scalding_out2 + +Hypothesis: class name should be same as file name. Don't need `main` function +if using Scalding Tool wrapper jar. Don't need scald.rb. + + hadoop jar scald-mvp-assembly-0.1.0-SNAPSHOT.jar com.twitter.scalding.Tool example.WordCount --hdfs --input hdfs:///user/bnewbold/dummy.txt --output hdfs:///user/bnewbold/test_scalding_out2 + ## sbt Uncommenting this line in scalding:build.sbt sped things way up (don't need to |