Taro L. Saito xerial

td-spark usage notes

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.

	{
	"title": "Cursor-mode layout for saving your little fingers",
	"rules": [
	{
	"description": "Cursor-mode: Enter the cursor mode with left command click. i/j/k/l to arrows. Exit when ctrl/esc/enter/backspace or command+(any) is pressed.",
	"manipulators": [
	{
	"conditions": [
	{
	"name": "cursor_layout",

	{
	"title": "i/k/k/l Arrows Layer",
	"rules": [
	{
	"description": "Enter i/j/k/l arrow mode with left_command (on) control (off)",
	"manipulators": [
	{
	"conditions": [
	{
	"name": "ijkl_mode",

	val testDesign = d
	.bind[DB].to[InMemoryDB]
	.bind[HttpClient].to[InMemoryLogger]

	testDesign.build[A] { a => ... }

	import wvlet.airframe._

	val d = newDesign
	.bind[DB].toSingleton
	.bind[FluentdLogger].toSingleton

	d.build[A] { a => ... }

	package serde

	import java.io.{ByteArrayInputStream, ByteArrayOutputStream, ObjectInputStream, ObjectOutputStream}

	sealed trait Color
	case object RED extends Color
	case class A(colors:Seq[Color])

	object SerdeTest {

	new A(new DBClient(new ConnectionPool(new DB(…)))
	new A(new DBClient(new ConnectionPool(new MemoryDB(…))

	import wvlet.airframe.http.finagle._
	import com.twitter.finagle.http.Request

	// Define API routes. This will read all @Endpoint annotations in MyApi
	val router = Router.of[MyApi]

	val design =
	finagleDefaultDesign
	.bind[MyApi].toSingleton // Register API impl
	.bind[Router].toInstance(router) // Register http routes