How to read only 5 records from s3 bucket and return it without getting all data of csv file

General Tech Bugs & Fixes 2 years ago

0 2 0 0 0 tuteeHUB earn credit +10 pts

5 Star Rating 1 Rating

Posted on 16 Aug 2022, this text provides information on Bugs & Fixes related to General Tech. Please note that while accuracy is prioritized, the data presented might not be entirely correct or up-to-date. This information is offered for general knowledge and informational purposes only, and should not be considered as a substitute for professional advice.

Take Quiz To Earn Credits!

Turn Your Knowledge into Earnings.

tuteehub_quiz

Answers (2)

Post Answer
profilepic.png
manpreet Tuteehub forum best answer Best Answer 2 years ago

 

Hello guys I know lots of similar questions i'll find here but i have a code which is executing properly which is returning five records also my query is how should i only read the entire file and atlast return with desire rows just supose i have csv file which have size in gb so i don't want to return the entire gb file data for getting only 5 records so please tell me how should i get it....Please if possible explain my code if it is not good why it is not good.. code:

import boto3
from botocore.client import Config
import pandas as pd

ACCESS_KEY_ID = 'something'
ACCESS_SECRET_KEY = 'something'
BUCKET_NAME = 'something'
Filename='dataRepository/source/MergedSeedData(Parts_skills_Durations).csv'

client = boto3.client("s3",
                     aws_access_key_id=ACCESS_KEY_ID,
                     aws_secret_access_key=ACCESS_SECRET_KEY)
obj = client.get_object(Bucket=BUCKET_NAME, Key=Filename)
Data = pd.read_csv(obj['Body'])
# data1 = Data.columns
# return data1
Data=Data.head(5)
print(Data)

This my code which is running fine also getting the 5 records from s3 bucket but i have explained it what i'm looking for any other query feel free to text me...thnxx in advance

profilepic.png
manpreet 2 years ago

You can use the pandas capability of reading a file in chunks, just loading as much data as you need.

Data_iter = pd.read_csv(obj['Body'], chunksize = 5)
Data = Data_iter.get_chunk()
print(Data)

0 views   0 shares

No matter what stage you're at in your education or career, TuteeHub will help you reach the next level that you're aiming for. Simply,Choose a subject/topic and get started in self-paced practice sessions to improve your knowledge and scores.