claudinei-daitx

import org.apache.spark.sql.SparkSession

object SparkSessionS3 {
    //create a spark session with optimizations to work with Amazon S3.
    def getSparkSession: SparkSession = {
        val spark = SparkSession
            .builder
            .appName("my spark application name")
            .config("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
            .config("spark.hadoop.fs.s3a.access.key", "my access key")

tsdeng

Basic Support

1. Install ctags-exuberant
   • add stuff as listed in http://leonard.io/blog/2013/04/editing-scala-with-vim/ to ~/.ctags
2. Install gnu global
   • brew install global --with-exuberant-ctags
   • add following line in bash export GTAGSCONF=/usr/local/share/gtags/gtags.conf
   • edit gtags.conf, in the exuberant-ctags section, add following line :langmap=Scala:.scala:\

tsdeng

1. create ~/.ctags as follows(notice for regexps I used ^[ \t] to excactly match):
--langdef=Scala
--langmap=Scala:.scala
--regex-Scala=/^[ \t]*class[ \t]*([a-zA-Z0-9_]+)/class \1/c,classes/
--regex-Scala=/^[ \t]*object[ \t]*([a-zA-Z0-9_]+)/object \1/o,objects/
--regex-scala=/^[ \t]*trait[ \t]*([a-zA-Z0-9_]+)/trait \1/t,traits/
--regex-Scala=/^[ \t]*case[ \t]*class[ \t]*([a-zA-Z0-9_]+)/case class \1/m,case-classes/
--regex-Scala=/^[ \t]*abstract[ \t]*class[ \t]*([a-zA-Z0-9_]+)/abstract class \1/a,abstract-classes/
--regex-Scala=/^[^\*\/]*def[ \t]*([a-zA-Z0-9_]+)[ \t]*.*[:=]/f \1/f,functions/
#--regex-Scala=/^[^\*\/]*val[ \t]*([a-zA-Z0-9_]+)[ \t]*[:=]/\1/V,values/

sedm0784

g_LastCtrlKeyDownTime := 0
g_AbortSendEsc := false
g_ControlRepeatDetected := false

*CapsLock::
    if (g_ControlRepeatDetected)
    {
        return
    }