pureapp | small library | Functional Programming library
kandi X-RAY | pureapp Summary
kandi X-RAY | pureapp Summary
The architecture for PureApp applications is mainly inspired by the Elm Architecture. An Idiomatic PureApp program is completely pure and referentially transparent. It can be either implemented as the main application or it can be composed of other PureApp programs (see below).
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pureapp Key Features
pureapp Examples and Code Snippets
import cats.implicits._
// import cats.implicits._
val p1 = Program.simple(
"Hello PureApp 1!",
(_: Unit, model: String) => model,
(_: String) => IO.unit,
(_: Unit) => true
).map(List(_)).build()
// p1: cats.effect.IO[List[Str
import com.github.battermann.pureapp._
// import com.github.battermann.pureapp._
import com.github.battermann.pureapp.interpreters.Terminal._
// import com.github.battermann.pureapp.interpreters.Terminal._
import cats.effect.IO
// import cats.effec
object Main extends StandardPureApp[IO] {
// MODEL
type Model = String
type Msg = Unit
type Cmd = Unit
def init: (Model, Cmd) = ("Hello PureApp!", ())
def quit(msg: Msg): Boolean = true
// UPDATE
def update(msg: Msg, model: Mo
Community Discussions
Trending Discussions on pureapp
QUESTION
I am trying to
1.Read JSON events from Cloud Pub/Sub
2.Load the events from Cloud Pub/Sub to BigQuery every 15 minutes using file loads to save cost on streaming inserts.
3.The destination will differ based on "user_id" and "campaign_id" field in the JSON event, "user_id" will be dataset name and "campaign_id" will be the table name. The partition name comes from the event timestamp.
4.The schema for all tables stays same.
I am new to Java and Beam. I think my code mostly does what I am trying to do and I just a need little help here.
But I unable to access "campaign_id" and "user_id" field in the JSON message. So, my events are not routing to the correct table.
...ANSWER
Answered 2018-Apr-18 at 00:58How about: String tableName = element.getValue().get("campaign_id").toString()
and likewise for the dataset.
Besides, for inserting into time-partitioned tables, I strongly recommend using BigQuery's Column-Based Partitioning, instead of using a partition decorator in the table name. Please see "Loading historical data into time-partitioned BigQuery tables" in the javadoc - you'll need a timestamp column. (note that the javadoc has a typo: "time" vs "timestamp")
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