6. what is data skew in pyspark | pyspark interview questions & answers | databricks interview q & a

[@motivational_thoughts6760]

00:05 Data skew occurs when data is unevenly partitioned 00:53 Data skew causes uneven processing in distributed systems. 01:46 Data skew in large data processing 02:38 Identifying and dealing with data skew in PySpark. 03:28 Data skew can lead to inefficient processing in PySpark 04:26 Understanding partitions and rows distribution in PySpark dataframes 05:19 Partitioning data frame for efficient processing 06:11 Managing data skew in PySpark

[@amritasingh1769]

One more very informative video. Keep uploading videos like this..

[@ssunitech6890]

Thanks 🙏

[@surajpatil4940]

Well explained question along with the real time example.

[@ssunitech6890]

Thanks Please share to others

[@tejasgangurde1998]

Very informative video

[@ssunitech6890]

Thanks, Please share to others

[@BalaMurugan-kb8ri]

----> 1 df1=df.select(spark_partition_id().alias('partid')).groupBy('partid').count() NameError: name 'spark_partition_id' is not defined Sir I am getting above error

[@MsMohanj]

How I know sir project allocation how many core on my project according only I can create the partition right

[@ssunitech6890]

You can check that in your cluster that what is the configuration of that.

[@goluSingh-su1xs]

Superb explanation bro ❤

[@ssunitech6890]

Thanks

[@vaddenata6735]

Thank you sir

[@ssunitech6890]

Thanks Please share to others

[@shivamchandan50]

plz share dataset also

[@ssunitech6890]

Will update tomorrow

[@motivational_thoughts6760]

plz share code