ashugupt

import java.nio.file.{DirectoryStream, Files, Path, Paths}

import scala.collection.JavaConverters._
import scala.collection.mutable.ArrayBuffer

val filesList = ArrayBuffer[String]()
var directoryStream =
  Files.newDirectoryStream(Paths.get("/Users/ashugupt/Pictures/chandrataal"))

val outputJpegPath = Paths.get("/Users/ashugupt/Pictures/chandrataal/jpegs")

ashugupt

# List all large blobs in a git repository sorted by blob size in descending order.
git rev-list --objects master | git cat-file --batch-check='%(objectsize) %(objecttype) %(objectname) %(rest)' | sort -k1,1 -rn > ~/Desktop/abc.txt

# Rewrite history removing history of a file
git filter-branch --force --index-filter \
'git rm --cached --ignore-unmatch <path/to/unwanted/file>' \
--prune-empty --tag-name-filter cat -- --all

ashugupt

Quick Tips for Fast Code on the JVM

I was talking to a coworker recently about general techniques that almost always form the core of any effort to write very fast, down-to-the-metal hot path code on the JVM, and they pointed out that there really isn't a particularly good place to go for this information. It occurred to me that, really, I had more or less picked up all of it by word of mouth and experience, and there just aren't any good reference sources on the topic. So… here's my word of mouth.

This is by no means a comprehensive gist. It's also important to understand that the techniques that I outline in here are not 100% absolute either. Performance on the JVM is an incredibly complicated subject, and while there are rules that almost always hold true, the "almost" remains very salient. Also, for many or even most applications, there will be other techniques that I'm not mentioning which will have a greater impact. JMH, Java Flight Recorder, and a good profiler are your very best friend! Mea

ashugupt

{
  "before": {
    "key1": "value1",
    "key2": "value2",
    "key3": "value3"
  },
  "after": {
    "key1": "value1-modified",
    "key2": "value2",
    "key3": "value3-modified"

ashugupt

{
  "before": {
    "shipment_id": 1,
    "from": "Delhi",
    "to": "Chennai",
    "total_amount": 15600.00
  },
  "after": {
    "shipment_id": 1,
    "from": "Delhi",

ashugupt

Message 1:
-----------
{
  "after": {
    "key1": "value1",
    "key2": "value2",
    "key3": "value3",
    "created_at": 1
  }
}

ashugupt

SELECT
  b.cluster_name,
  SUM(a.total_shipments) AS total_shipments
FROM (
  SELECT
    booking_cluster_id,
    1 AS total_shipments
  FROM shipment
  WHERE 1=1
     AND timestamp BETWEEN '{{ last_sunday }}'