Pyspark Scenarios 17 : How to handle duplicate column errors in delta table #pyspark #deltalake #sql

Pyspark Scenarios Part 17 : How to handle duplicate column errors in delta table #pyspark #deltalake
Pyspark Interview question
Pyspark Scenario Based Interview Questions
Pyspark Scenario Based Questions
Scenario Based Questions
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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

How to avoid duplicate columns after join in PySpark ?,
How to resolve duplicate column names while joining two dataframes in PySpark?,
pyspark duplicate a column on pyspark data frame,
How to merge duplicate columns in pyspark?,
duplicate a column in pyspark data frame ,

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RISING
which role is most likely to use azure data factory to define a data pipeline for an etl process?
broadcast variable in spark
which one of the following tasks is the responsibility of a database administrator?
google colab
case class in scala
pyspark documentation
spark architecture
window function in sql
which single service would you use to implement data pipelines, sql analytics, and spark analytics?
apache spark architecture
hadoop vs spark
spark interview questions

[rutvikdandothi]

Very good explanation from one of the best instructors.

[ankur]

Hi Sir, Thanks for these videos you are doing great sir ✌️

[pranavsarc]

Hi Sir Thanks for the video explanation ☺️. Let me ask you one doubt
Can we brodacast tempView or delta table if the size is small?
My doubt is, if suppose I am using SparkSQl for coding and need to merge the final data into maintable. So the final data is available as stage table. So, can I broad cast that stage and will that improve performance?

[MrPerikala]

Thanks, where is the video for remove the duplicate columns dynamically

[supera]

Thanks for your videos, It was really helpful
I have few queries, can some one help

1. Do we need to follow any specific order when using options in readStream and writeStream. For example: "avro").option("multiline",

2. Delta table creation w/ both tableName and location option, is that right?? If I use both only I can see the files like .parquet, _delta log, checkpoint in the specified path and if I use tableName only I can see the table in hive meta store/spark catalog.bronze of SQL editor in databricks

The syntax i use, is it ok to use both .tableName() and .location() option
.tableName("%s.%s_%s" % (layer, domain, deltaTable))
.addColumn("x", "INTEGER")
.location(path) .execute()

[akshobhyaakshu]

Sir I have one doubt As a open degree candidate can we get data engineer job ???...