Відео

Rejected

Rejected

Super cool interview

I admire your patience , most people would have ended the interview long back ...

wonderful video, but rebase could have been explained much better..

Excellent very helpful sir👌 👌

can i please get source code?

Thank you for this amazing video. Extremely useful

public static void main (String args[]){ Integer[] num1 = {0,1,0,1,0,1,0,1,0,1}; for(int k=0 ; k<= num1.length ; k++) { for (int i = 0; i < num1.length - 1; i++) { int temp; if (num1[i] > num1[i + 1]) { temp = num1[i]; num1[i] = num1[i + 1]; num1[i + 1] = temp; } } } for(int j=0;j<num1.length;j++){ System.out.println(num1[j]); } }

public static void main (String args[]){ Integer[] num1 = {0,1,0,1,0,1,0,1,0,1}; for(int k=0 ; k<= num1.length ; k++) { for (int i = 0; i < num1.length - 1; i++) { int temp; if (num1[i] > num1[i + 1]) { temp = num1[i]; num1[i] = num1[i + 1]; num1[i + 1] = temp; } } } for(int j=0;j<num1.length;j++){ System.out.println(num1[j]); } }

Coding knowledge is very poor

I dont know who you are or where you work, but the way you articulate a problem statement and the way you never give up on the candidates is truly amazing. More power to you! Lucky are the folks on your team to have a mentor like you.

'spark-shell' is not recognized as an internal or external command, operable program or batch file answer - add this in ur system varibles path - file:///C:/spark/spark-3.5.0-bin-hadoop3/bin

you are good interviewer, taking interview on selection mode not a rejection mode, most of interviewer pre decided like I will ask question from interviewee those he don't know

Iam facing this issue please tell how to troubleshoot this 10:57:42 WARN TaskSetManager: Lost task 3.0 in stage 1.0 (TID 7) (DESKTOP-LTORSLO executor driver): Taskkilled (Stage cancelled: Job aborted due to stage failure: Task 2 in stage 1.0 failed tim recent failure: Lost task 2.0 in stage. 1.9 (TID 6) (DESKTOP-LTORSLO executor driver): org.apache.spark. SparkException: Python worker exited unexpectedly (crashed) at org.apache.spark.api.python.BasePythonRunners ReaderIterator$Sanonfun$1.applyOrElse(PythonRunner.scala:612) at org.apache.spark.api.python.BasePythonRunner $ReaderIterators Sanonfun$1.applyOrElse(PythonRunner.scala:594) at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scalá:38) ) at org.apache.spark.api.python.PythonRunner $$anon$3.read(PythonRunner.scala:789 at org.apache.spark.api.python. PythonRunner$$anon$3.read(PythonRunner.scala:766) at org.apache.spark.api.python.BasePythonRunner ReaderIterator.hasNext(PythonRunner.scala:525) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) at scala.collection. Iterator.foreach(Iterator.scala:943) at scala.collection.Iterator.foreach$(Iterator.scala:943) at org.apache.spark.InterruptibleIterator.foreach (InterruptibleIterator.scala:28) at scala.collection.generic.Growable.Splussplusseq(Growable.scale:62) at scala.collection. generic.Growable.Splus$plusSeq$(Growable.scala:53) at scala.collection.mutable.ArrayBuffer.Splussplusses(Arraylluffer.scala:105) at scala.collection.mutable.ArrayBuffer.Splus$plus$eq(ArrayBuffer.scala:49) at scala.collection.TraversableOnce.to(TraversableOnce.scala:366) at scala.collection. TraversableOnce.tos (TraversableOnce.scala:364) at org.apache.spark. InterruptibleIterator.to(InterruptibleIterator.scala:28) at scala.collection.TraversableOnce.to@uffer(TraversableOnce.scala:358) at scala.collection.TraversableOnce.tolluffers(TraversableOnce.scala:358) at org.apache.spark. InterruptibleIterator.toBuffer(terruptibleIterator.scala:28) at scala.collection. TraversableOnce.toArray(TraversableOnce.scala: 345) at scala.collection.TraversableOnce. toArrays(TraversableOnce.scala:339) at org.apache.spark. InterruptibleIterator, toArray(InterruptibleIterator.scala:28) at org.apache.spark.rdd. RDD. Sanonfun$collect$2(RDD.scala:1046) at org.apache.spark. SparkContext, SanonfunsrunJob$5(SparkContext.scala:2438) org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93) at at org.apache.spark.TaskContext.runTaskwithlisteners (TaskContext.scala:161) at org.apache.spark.scheduler.Task.run(Task.scala:141) at org.apache.spark. executor, Executor$TaskRunnen SanonfunSrun$4(Executor.scala:620) org.apache.spark util.SparkErrorUtils, trywithSafeFinally(SparkErrorUtils.scala:64) at at org.apache.spark.util.SparkErrorUtils.trywithSafeFinally$(SparkErrorUtils.scala:61) at org.apache.spark.util.Utilss.trywithSafeFinally(Utils.scala:94) apache.spark. org.ap at org. or Executor$TaskRunner.run(Executor.scala:623) .executor at java.base/java.util.concurrent.ThreadPoolExecutor.runlorker (ThreadPoolExecutor.java:1128) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) at java.base/java.lang.Thread.run(Thread.java:834) : Caused by java.io.EOFException at java.base/java.io. DataInputStream.readInt(DataInputStream.java:397) at org.apache.spark.api.python.Pythonilunner$Sanon$3.read(PythonRunner.scala:774

Is he selected???

Sir can you please send me the source codes

What was he answering?

Excellent video - vivid hand holding session bro. THANK YOU

bro i don't have word for you🥰🥰

@Stream nice interview

10 years of experience or 6 months experience?

For the algo question answer , i don't remember if the panelists asked NOT TO USE any inbuilt methods. If they said so then pardon i am sorry. In that Case ONLY ONE LINE CODE WILL DO:- int ar[]={0,0,1,1,0,1,1,0,0,0,0,1,0,0}; Arrays.sort(ar); for(int i=0;i<ar.length;i++) sop(ar[i]+",");

i love the interviewer, very patient and knowledgeable. The interviewee though is hard headed. I know he is good but he doesn't listen to instructions so it depends on what kind of projects you want to put him. it's always good to listen to the interviewer and comply with the instructions.

Viewing. Any reason why you were helping with code? This will eat your time asking other questions. Put vs Post you were helping

persons.stream() .filter(person -> person.getAge() >= 45) .forEach(System.out::println);

int countZeros = 0; // Count the number of zeros for (int num : arr) { if (num == 0) { countZeros++; } } // Overwrite the array with 0s and 1s for (int i = 0; i < countZeros; i++) { arr[i] = 0; } for (int i = countZeros; i < arr.length; i++) { arr[i] = 1; }

when i run spark-shell command on cmd i receive the system cannot find the path specified

I am interested is he hired ?

Sometimes we don't get opportunity so theory knowledge is there but we should give opportunity then only anyone will get practical experience

Routing questions to somewhere else. Seems explaining anything he finds relevant.

I used to pause in between the videos and tried to give the answers and it was very good rehearsal. You were also very patient with the interviewee in moments when he panicked initially. That was really nice. Thank you for the upload.

Thanks for you explanation. BUt I'm getting below error can you please help me ERROR FileFormatWriter: Aborting job.................. raise Py4JJavaError( py4j.protocol.Py4JJavaError: An error occurred while calling o32.csv.

It would be really helpful if you could post more videos like this

he should be rejected bad perfornamce.

what an inefficient approach to sort 0(s) and 1(s) simply you can count and rearrange the integer array without creating not extra space and with O(n) Time Complexity Integer[] arr = new Integer[]{0, 1, 0, 1, 0, 1, 0}; int zeroCount = 0; for (Integer integer : arr) { if (integer == 0) zeroCount++; } int counter = 0; while (counter < arr.length) { if (zeroCount-- > 0) { arr[counter++] = 0; } else { arr[counter++] = 1; } }

Can u plss snd me the source code for this

You really confused us starting from the merge conflicts explanation(due to incorrect commit message), which is the crucial part of this video. But, trust me this is the best video out there covering all use cases . If possible , please edit the video from merge conflicts section for future viewers.

Very interesting, people can't sort an array with function :D Buy answer more complex things..

Arrays.stream(integers).sorted().forEach(System.out::print); He was thinking very complex and strange to me, also stressed :D

For the questions wtih 0 on left and 1 set right here is the best code i think public static void put0OnTheLeft(Integer[] integers) { List<Integer> integersList = Arrays.asList(integers ); integersList.parallelStream().sorted((y,x ) -> x.compareTo(y)).forEach(System.out::println); } main table ---> Integer[] entiers = {1,0,0,1,0,1,0,1,0,0,0,1,1,1};

I haven't seen interviewer like you who really make the opposite person confident. And you looks so strong in technical.

That was not the best way to do the arrangement of zeros and one's so many conversations he is doing

int index=0; For(int i=0;i<arr.length;i++){ If(arr[i]==0){ arr[index++]=0; } } While (index<arr.length){ arr[index++]=1; // Now all the array will be filled up with 0's in left and 1's in right 😊 }

If I would’ve been taking this interview definitely this guy Is rejected. He doesn’t have the pure real-time skills he just trying to answer from theoretical perspective.

For those looking for answers of the Algo question. Its simple in-place algo (You can say its a simple swapping the numbers algo). int[] intArr = {0,1,0,1,0,0,1,0,1,0}; int j = 0; for(int i =0; i<intArr.length; i++){ if(intArr[i] > 0){ int temp = intArr[j]; intArr[j] = intArr[i]; intArr[i] = temp; j++; } }

private static void sortArr(Integer[] inputArr) { boolean swapRequired = true; while (swapRequired) { swapRequired = false; for (int i = 0; i < inputArr.length - 1; i++) { if(inputArr[i] > inputArr[i+1]) { swapRequired = true; inputArr[i] = inputArr[i] + inputArr[i+1]; inputArr[i+1] = inputArr[i] - inputArr[i+1]; inputArr[i] = inputArr[i] - inputArr[i+1]; } } } }

Thank you!

Hi sir, It would be great 👍, if you could send me the source code for this project tutorial. Could you do so, please, sir? 🙏 Thank you in advance.

From Belgium @stream2learn Great tutorial It's really well done. I like the debugging part and refactoring, topics that we don't find in other tutorials. I would really appreciate if you could send me your sources files in order for me to have a better understanding. Thank you in advance😀