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aws --profile <profile> --region <region> ec2 describe-instances \
    --filters "Name=tag-key,Values=Name" "Name=tag-value,Values=<name>" \
| jq '.Reservations[] | .Instances[] | .InstanceId' 

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Generate table as SQL

Presto:

with t1 as (select sequence(1,10) as c1)
select c from t1 
CROSS JOIN UNNEST (c1) as t(c)

BigQuery:

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REPL based application will fail with initialization error of REPL if its jar file name has no extension '.jar' or '.zip'.

import scala.tools.nsc.Settings
import scala.tools.nsc.interpreter.shell.{ILoop, ShellConfig}

object ReplTestMain extends App {
    println("test")
    val settings = new Settings
    settings.usejavacp.value = true

yoyama

package test1 {
  import com.databricks.spark.corenlp.functions._
  import org.apache.spark.sql.{DataFrame, SparkSession}

  class Test(implicit spark: SparkSession) {
    def run(df: DataFrame): DataFrame = {
      import spark.implicits._
      val df2 = df.select(tokenize($"Text").as("word"), lemma($"Text").as("lemma"), pos($"Text").as("pos")).persist
      df2.count
      df2.unpersist()

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/**
  * Generate Case class from DataFrame.schema
  *
  *  val df:DataFrame = ...
  *
  *  val s2cc = new Schema2CaseClass
  *  import s2cc.implicit._
  *
  *  println(s2cc.schemaToCaseClass(df.schema, "MyClass"))
  *

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def snake2camel(s:String):String = s.toList.foldLeft(List.empty[Char]){
    case ('_'::xs, c) => c.toUpper::xs
    case (xs, c) => c::xs
}.reverse.mkString("")