-
description: monitor the AWS RDBMS schema change
-
create new column to
Summary
orDetail
:- add
COL
into google sheet (fill default value it can decrease amount of updating time) - orginzie sql in
Summary
orDetail
func.(fetch table schema frominforamtion_schema
table) col = a.columns[:NUM]
incheck_cell
func -> NUM+=1
- add
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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 |
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ss |
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|
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setpup: | |
~/.vimrc | |
set mouse=a | |
watch tail logfile1 logfile2 | |
shortcut : tmux a -t #num |
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.
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.
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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) { |
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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") |
Array
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