Kiollpt

DD-DataDictionary

• description: monitor the AWS RDBMS schema change

• create new column to Summary or Detail:

  1. add COL into google sheet (fill default value it can decrease amount of updating time)
  2. orginzie sql in Summary or Detail func.(fetch table schema from inforamtion_schema table)
  3. col = a.columns[:NUM] in check_cell func -> NUM+=1

Kiollpt

ss

Kiollpt

‎‎​

Kiollpt

LS_COLORS=$LS_COLORS:'di=0;35:' ; export LS_COLORS; ls
export LS_OPTIONS='--color=auto'
#eval "$(dircolors -b)"
alias ls='ls $LS_OPTIONS'




# tmux 

Kiollpt

setpup:

~/.vimrc
set mouse=a
 

watch tail logfile1 logfile2

shortcut : tmux a -t #num

Kiollpt

In this gist I would like to describe an idea for GraphQL subscriptions. It was inspired by conversations about subscriptions in the GraphQL slack channel and different GH issues, like #89 and #411.

Conceptual Model

At the moment GraphQL allows 2 types of queries:

• query
• mutation

Reference implementation also adds the third type: subscription. It does not have any semantics yet, so here I would like to propose one possible semantics interpretation and the reasoning behind it.

Kiollpt

val output = ds.groupByKey(_.`pickup zone`).mapGroupsWithState[State,Result](GroupStateTimeout.NoTimeout()){


      case (key:String,values:Iterator[order],state: GroupState[State]) => {
        val data = values.toSeq
        println(data)
        val size = data.size
        print()
        val updateState = if(state.exists) {

Kiollpt

Array

• * 27 Remove Element 视频讲解
• * 26 Remove Duplicates from Sorted Array 视频讲解 L1:match condition | L2
• ? 80 Remove Duplicates from Sorted Array II 视频讲解
• 277 Find the Celebrity 视频讲解
• * 189 Rotate Array 视频讲解
• * 41 First Missing Positive 视频讲解
• *? 299 Bulls and Cows 视频讲解
• 134 Gas Station 视频讲解

Kiollpt

  def main(args: Array[String]): Unit = {
    val ss = SparkSession.builder().master("local[*]").appName("app1").getOrCreate()
    import ss.implicits._
    val filePath = "src/resource"


    val schema = Encoders.product[order].schema
    val ds = ss.readStream.option("header","true").schema(schema).csv(filePath)

    val ds1 = ds.select( lit("1") as "key",to_json(struct("*"))as "value")

Kiollpt

if __name__ == "__main__":