knight76

import math
import zipfile
from PIL import Image, ImageOps, ImageDraw
import pytesseract
import cv2 as cv
import numpy as np

face_cascade = cv.CascadeClassifier('readonly/haarcascade_frontalface_default.xml')
parsed_img_src = {}

knight76

import org.apache.spark.util.AccumulatorV2

import scala.collection.mutable

class TupleAccumulator extends AccumulatorV2[((String, String), Long), Map[(String, String), Long]] {
  private val underlying: mutable.HashMap[(String, String), Long] = mutable.HashMap.empty

  override def isZero: Boolean = underlying.isEmpty

  override def copy(): AccumulatorV2[((String, String), Long), Map[(String, String), Long]] = {

knight76

package main

import (
    "fmt"
    "time"
    "strconv"
    "os"
)

func main() {

knight76

curl -X PUT "http://localhost:9200/_ingest/pipeline/reqlog-monthly-index" -H 'Content-Type: application/json' -d'

{

  "description": "monthly index naming for reqlog",

  "processors" : [

    {

knight76

scala> java.util.Arrays.asList("1", "2").toArray.foreach(println)
1
2

knight76

# read file and apply foreach.

# example - (curl )
for i in $(cat file); do

  curl -X GET "http://localhost/api/v1/orders/$i" -H "accept: application/json;charset=UTF-8" 
  
  sleep 1

done