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8 Ways to Optimize AWS Glue Jobs in a Nutshell

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  Improving the performance of AWS Glue jobs involves several strategies that target different aspects of the ETL (Extract, Transform, Load) process. Here are some key practices. 1. Optimize Job Scripts Partitioning : Ensure your data is properly partitioned. Partitioning divides your data into manageable chunks, allowing parallel processing and reducing the amount of data scanned. Filtering : Apply pushdown predicates to filter data early in the ETL process, reducing the amount of data processed downstream. Compression : Use compressed file formats (e.g., Parquet, ORC) for your data sources and sinks. These formats not only reduce storage costs but also improve I/O performance. Optimize Transformations : Minimize the number of transformations and actions in your script. Combine transformations where possible and use DataFrame APIs which are optimized for performance. 2. Use Appropriate Data Formats Parquet and ORC : These columnar formats are efficient for storage and querying, signif

Python Tuples: An Overview with Code Examples

Tuple in python is one of the streaming datasets. The other streaming datasets are List and Dictionary. Operations that you can perform on it are shown here for your reference.

Writing tuple is easy. It has values of comma separated, and enclosed with parenthesis '()'. The values in the tuple are immutable, which means you cannot replace with new values.


How to use tuple in python


#1. How to create a tuple


Code: Tuple example

my_tuple=(1,2,3,4,5)

print(my_tuple)


Output:


(1, 2, 3, 4, 5)


** Process exited - Return Code: 0 **

Press Enter to exit terminal


#2. How to read tuple values


Code:

print(my_tuple[0])


Output:


1

** Process exited - Return Code: 0 **

Press Enter to exit terminal


#3. How to add two tuples



Code:

a=(1,6,7,8)
c=(3,4,5,6,7,8)

d=print(a+c)


Output:

(1, 6, 7, 8, 3, 4, 5, 6, 7, 8)

** Process exited - Return Code: 0 **
Press Enter to exit terminal


#4.  How to count tuple values

Here the count is not counting values; count the repetition of a given value.

Code:

sample=(1, 6, 7, 8, 3, 4, 5, 6, 7, 8)
print(sample.count(8))


Output:

2


** Process exited - Return Code: 0 **
Press Enter to exit terminal


#5. How to get index of a tuple value



Code:

sample=(1, 6, 7, 8, 3, 4, 5, 6, 7, 8)
print(sample.index(8))



Output:

3


** Process exited - Return Code: 0 **
Press Enter to exit terminal

Note: 

It has given an index for the first occurrence. If you seek an index for all the items, you need to use for loop. Even though values are repeated, it shows the same index.


sample=(1, 6, 7, 8, 3, 4, 5, 6, 7, 8)


for a in sample:
print(sample.index(a))


Output:

0
1
2
3
4
5
6
1
2
3


** Process exited - Return Code: 0 **
Press Enter to exit terminal


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