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Partial Spark 1.3.0 update #65

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Partial Spark 1.3.0 update #65

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@gone-phishing gone-phishing commented Apr 7, 2015

Though the code compiles for spark 1.3.0 with hadoop 2.5.2, a lot of dependency issues needs to be fixed. We can have a separate branch for these updates

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gone-phishing commented Apr 9, 2015

Pushing a few more commits that resolves multiple scala version warnings.
There are still overlapping jars warnings present, and I've tried excluding a few of them by adding exclusions in the pom file, but then they don't have any effect on compilation and they can simply be ignored.

gone-phishing and others added 24 commits April 15, 2015 23:22
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Fixing imports from dbpedia core jar
45fa37a
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Adding scala version required
a4043b8
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Fixed FunSuite for scalatest issue (FunSuite needs to be a trait and …
784bbb4 
…so we use FunSuiteLike)
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Using FunSuite as a trait
f702ce1 
FunSuiteLike is the name of the trait
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FunSuiteLike trait is used
311cbd9
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Debugging the DistDownloadConfig.scala file for reading params
d482ca7
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Merge remote-tracking branch 'origin/spark_1.3.0-update' into spark_1…
408ecff 
….3.0-update
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Commenting the distconfig variable
480757c
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Commenting the distconfig variable
1f642e4
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Recompiling spark with scala 2.11.4
3f9ff7c
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Changing a lot of config properties
0d4935e
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Update README.md
3493129
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Modifying the pom file
276e58d
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Modifying the pom file
962320e
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Merge remote-tracking branch 'origin/spark_1.3.0-update' into spark_1…
f7b989e 
….3.0-update
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Changing a lot of config properties
3702a50
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Removing data files
ebd5c52
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Editing config files for download
5b39ec6
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Adding KryoSerializer for extractors
f4a0881
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Working extraction for li languages
e0192bd
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Working extraction for li languages
56ca1ec
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Updating pom files for latest extraction framework build
cb7bbb1
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Jsch authentication fixed using private key
215cc3e
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Adding the data folder in the repo using a dummy file
a265679
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intracer commented Oct 16, 2015

any updates on this?

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gone-phishing commented Oct 16, 2015

parallel downloads using akka clustering and extraction of information using apache spark is well supported at this stage. Are there any issues ?

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