6 minutes ago, vendettaa said:

Office lo work unatte anpistundi munduki potledu proper lead leka

Busy busy untunna

nee yenkamma proper lead leka pani aagi povudu ok ...

nuvve lead cheyochu kada... u have that jeal and talent no

2 minutes ago, doenter said:

Your name 

Bayta vere... 

1 minute ago, doenter said:

Your name 

Ardam katleda it’s male dbing with female name ID

 

Just now, vendettaa said:

Ardam katleda it’s male dbing with female name ID

 

nuvvu male huh ? 

2 minutes ago, ShailuShetty said:

No. Parents chuskuntaru

+ jagadamba chow sastry gaaru 

Just now, MuPaGuNa said:

+ jagadamba chow sastry gaaru 

Idb astrology

2 minutes ago, ShailuShetty said:

Bayta vere... 

Ok

2 minutes ago, vendettaa said:

Ardam katleda it’s male dbing with female name ID

 

Your clone 

look at the display name 

1 minute ago, doenter said:

Your clone 

look at the display name 

Baleda name? My real name is shalini 

Just now, ShailuShetty said:

Baleda name? My real name is shalini 

sare

Prathi vallu ilanti values e cheptharu, intikelli sri reddy debates and big boss 2 lanti ethics leni shows e enjoy chestharu. 

Bitching is in our indian genes. sacche dhaka podhu. 

Inthaki oka anmayi chaala manditho affairs pettukovadam , adigithe it’s my choice Anadam first category r second ani bul bul fruit adigadu.. naku antha knowledge leka ikkada vesa 

1 minute ago, kiraak_poradu said:

nee yenkamma proper lead leka pani aagi povudu ok ...

nuvve lead cheyochu kada... u have that jeal and talent no

Antaledu ok chepta

we have 2 clusters

one cluster has Hadoop spark 

another one is spark standalone cluster on ec2 instance 

am supposed to build data pipeline using scala spark and deploy on these clusters 

so I have one of the source and target as Hadoop , so I developed application which gets data from Hadoop and writes to Hadoop and am running this job successfully on cluster which has hadoop 

withins 2 mins cassandra,kafka annitlo data save avtundi with logic implemented when I submit spark jar

ipdu nannu spark standalone lo deploy cheymantunnaru which doesn’t have Hadoop and cannot support hive server 2 ,endukante the spark we r using is 2.4.0

so java driver manager use chesi connecting to remote cluster and writing it adi 3000 records ki 1 hour tiskuntundi ,performance improve cheydam kastam ga undi

actually idi critical project remote cluster lo unna hive Loki data load cheydam feaseable ga ledu,it’s  slow 

so agipoindi

they are supposed to have everything in one cluster 

ma lead spark standalone cluster manadi,ide use cheddam antadu ,adi processing ki tappa deniki paniki radu

ade vere cluster which is maintained by other team ,it has spark Hadoop on one cluster 

ma lead ki vere team mida depend kadam istam ledu ala ani  deni mida ekuva dependency untundo danike priority ivvali gani

prod lo remote cluster lo unna hive ki millions of records from another cluster write cheydam anta tikkala pani undadu ani na abhiprayam

 

6 minutes ago, JohnSnow said:

Prathi vallu ilanti values e cheptharu, intikelli sri reddy debates and big boss 2 lanti ethics leni shows e enjoy chestharu. 

Bitching is in our indian genes. sacche dhaka podhu. 

oka saameta undi deeniki.  Cheppedi Sri Ranga neetulu, Dooredi Dommari gudesalu:)

Just now, vendettaa said:

Antaledu ok chepta

we have 2 clusters

one cluster has Hadoop spark 

another one is spark standalone cluster on ec2 instance 

am supposed to build data pipeline using scala spark and deploy on these clusters 

so I have one of the source and target as Hadoop , so I developed application which gets data from Hadoop and writes to Hadoop and am running this job successfully on cluster which has hadoop 

withins 2 mins cassandra,kafka annitlo data save avtundi with logic implemented when I submit spark jar

ipdu nannu spark standalone lo deploy cheymantunnaru which doesn’t have Hadoop and cannot support hive server 2 ,endukante the spark we r using is 2.4.0

so java driver manager use chesi connecting to remote cluster and writing it adi 3000 records ki 1 hour tiskuntundi ,performance improve cheydam kastam ga undi

actually idi critical project remote cluster lo unna hive Loki data load cheydam feaseable ga ledu,it’s  slow 

so agipoindi

they are supposed to have everything in one cluster 

ma lead spark standalone cluster manadi,ide use cheddam antadu ,adi processing ki tappa deniki paniki radu

ade vere cluster which is maintained by other team ,it has spark Hadoop on one cluster 

ma lead ki vere team mida depend kadam istam ledu ala ani  deni mida ekuva dependency untundo danike priority ivvali gani

prod lo remote cluster lo unna hive ki millions of records from another cluster write cheydam anta tikkala pani undadu ani na abhiprayam

 

em kadu kaka be cool. 

anni avthayi ... jayeebhava