Pyspark Scenarios 8: How to add Sequence generated surrogate key as a column in dataframe. #pyspark

How to add Sequence generated surrogate key as a column in dataframe.
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employee data file location :

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Complete Pyspark Real Time Scenarios Videos.

Pyspark Scenarios 1: How to create partition by month and year in pyspark
pyspark scenarios 2 : how to read variable number of columns data in pyspark dataframe #pyspark
Pyspark Scenarios 3 : how to skip first few rows from data file in pyspark
Pyspark Scenarios 4 : how to remove duplicate rows in pyspark dataframe #pyspark #Databricks
Pyspark Scenarios 5 : how read all files from nested folder in pySpark dataframe
Pyspark Scenarios 6 How to Get no of rows from each file in pyspark dataframe
Pyspark Scenarios 7 : how to get no of rows at each partition in pyspark dataframe
Pyspark Scenarios 8: How to add Sequence generated surrogate key as a column in dataframe.
Pyspark Scenarios 9 : How to get Individual column wise null records count
Pyspark Scenarios 10:Why we should not use crc32 for Surrogate Keys Generation?
Pyspark Scenarios 11 : how to handle double delimiter or multi delimiters in pyspark
Pyspark Scenarios 12 : how to get 53 week number years in pyspark extract 53rd week number in spark
Pyspark Scenarios 13 : how to handle complex json data file in pyspark
Pyspark Scenarios 14 : How to implement Multiprocessing in Azure Databricks
Pyspark Scenarios 15 : how to take table ddl backup in databricks
Pyspark Scenarios 16: Convert pyspark string to date format issue dd-mm-yy old format
Pyspark Scenarios 17 : How to handle duplicate column errors in delta table
Pyspark Scenarios 18 : How to Handle Bad Data in pyspark dataframe using pyspark schema
Pyspark Scenarios 19 : difference between #OrderBy #Sort and #sortWithinPartitions Transformations
Pyspark Scenarios 20 : difference between coalesce and repartition in pyspark #coalesce #repartition
Pyspark Scenarios 21 : Dynamically processing complex json file in pyspark #complexjson #databricks
Pyspark Scenarios 22 : How To create data files based on the number of rows in PySpark #pyspark


identity column in spark,
Generating Surrogate Keys for your Data Lakehouse with Spark SQL and Delta Lake,
sequence generator in pyspark,
sequence generator in spark sql,
random number generator in pyspark,
generate sequence number in pyspark dataframe,
generate sequence number in spark dataframe,
How to create sequential number column in pyspark dataframe?,
Pyspark add sequential and deterministic index to dataframe,
Adding sequential IDs to a Spark Dataframe
row_number() ,
monotonically_increasing_id(),
md5,
sha1,sha2

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which role is most likely to use azure data factory to define a data pipeline for an etl process?
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which one of the following tasks is the responsibility of a database administrator?
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which single service would you use to implement data pipelines, sql analytics, and spark analytics?
apache spark architecture
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[SaiKumarvenigalla]

Very useful and easily understandable pyspark scenario series. Great work and really appreciate your

[pratiksharma]

Thanks for this wonderful series. Really appreciate your efforts.

[sowmiyadevik]

Hi sir, nice explanation but monotonically increasing id will work if there is duplication in combined key to allocate a surrogate key ?

[NasimaKhatun-jbqo]

Hi, how to generate the integertype surrogate key for a column col1. Where we are getting duplicate values in col1. As sha2 gives good result but it's alpha numeric

[ramprajapati]

From where can I download the sample file for practice.. Please share the link
.pls

[AnimeManhwaFans]

when i am using monotonically_increasing_id it is generating random number instead of 0, 1, 2, 3... Can you pleae help me with this

[KaveshR]

How can we sum the one column data incremental basis
salary op
1 1
2 3
3 6
4 10
5 15

[ketanmehta]

@TeckLake monotonicaly_increasing_id is not recommended. It might generate the same ID in the next iteration of job.