xerial

td-spark usage notes

• Official Doc

What You Can Do With td-spark

• Reading and writing tables in TD through DataFrames of Spark.
• Running Spark SQL queries against DataFrames.
• Submitting Presto SQL queries to TD and reading the query results as DataFrame.
• If you use PySpark, you can use both Spark's DataFrames and Pandas DataFrames interchangeably.

shunirr

xl1

Facebook API: 有効期限の長い Access Token を取得する

tl;dr

1. User Access Token を取得する
2. それを使って長い期限のトークンを取得する
3. /me/accounts?access_token={long_lived_token}
4. 無期限のトークンが手に入る

API のバージョン

xuwei-k

scalaVersion := "2.11.1"

libraryDependencies ++= Seq(
  "org.scalaz" %% "scalaz-core" % "7.1.0-M7"
)

scalacOptions ++= Seq("-deprecation", "-language:_")

runarorama

sealed trait Interact[A]

case class Ask(prompt: String)
  extends Interact[String]

case class Tell(msg: String)
  extends Interact[Unit]

trait Monad[M[_]] {
  def pure[A](a: A): M[A]