How to select the first row of each group?
Window functions: Something like this should do the trick: import org.apache.spark.sql.functions.{row_number, max, broadcast} import org.apache.spark.sql.expressions.Window val df = sc.parallelize(Seq( (0,"cat26",30.9), (0,"cat13",22.1), (0,"cat95",19.6), (0,"cat105",1.3), (1,"cat67",28.5), (1,"cat4",26.8), (1,"cat13",12.6), (1,"cat23",5.3), (2,"cat56",39.6), (2,"cat40",29.7), (2,"cat187",27.9), (
Write to multiple outputs by key Spark - one Spark job
How can you write to multiple outputs dependent on the key using Spark in a single Job. Related: Write to multiple outputs by key Scalding Hadoop, one MapReduce Job E.g. sc.makeRDD(Seq((1, "a"), (1, "b"), (2, "c"))) .writeAsMultiple(prefix, compressionCodecOption) would ensure cat prefix/1 is a b and cat prefix/2 would be c EDIT: I've recently added a new answer that includes full imports, pimp an
Firebase authentication vs AWS Cognito
We are doing the same. We started with Cognito but moved to Firebase because we were not satisfied with the way AWS Android SDK implements the authentication flow with Google and Facebook: the code is quite old, it makes use of deprecated methods and generally requires rewriting. On the other hand, Firebase authentication is obviously working seamlessly. When you don't use Cognito, you need to imp
SSH using jschexception verify false sometimes fails
The requirement is to ssh from one server to multiple server and execute a command. When I do this I frequently, but not always, receive this exception when trying to ssh from one server to another. What could be the reason for this and how can it be fixed? Any help could be great. Thanks in advance! jcraft.jsch.JSchException: verify: false at jcraft.jsch.Session.connect(Session.java:309) at jcraf
How to combine two Jar files
Is it possible to combine two jar files such that in an applet tag I can simply do something like archive="jarjar.jar/jar1.jar"... ...archive="jarjar.jar/jar2.jar"... instead of archive="jar1.jar"... ...archive="jar2.jar"... I need to only have one jar file so putting two jar files in a folder will not help me.
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