Yes, SparkSQL does support wildcards. The query you have written should work
as is, if the type of ename is string. You can find all the keywords and a
few supported functions at
http://docs.datastax.com/en/datastax_enterprise/4.6/datastax_enterprise/spark/sparkSqlSupportedSyntax.html
Can you explain the issue? Further, in which language do you want to code?
There are number of blogs to create a simple a maven project in Eclipse, and
they are pretty simple and straightforward.
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I have never used Mahout, so cannot compare the two. Spark MLlib, however,
provides matrix factorization based Collaborative Filtering
http://spark.apache.org/docs/latest/mllib-collaborative-filtering.html
using Alternating Least Squares algorithm.
Also, Singular Value Decomposition is handled
For RandomForest classifier, labels should be within the range
[0,numClasses-1]. This means, you have to map your labels to 0,1 instead of
1,2.
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Sent from the Apache Spark
Hi all,
Apparently, we can only specify character delimiter for tokenizing data
using Spark-CSV. But what if we have a log file with multiple delimiters or
even a multi-character delimiter? e.g. (field1,field2:field3) with
delimiters [,:] and (field1::field2::field3) with a single multi-character
