Скачать или смотреть how to convert sql server result to semi structured file | Read using pyspark | databricks | pyspark

In This Video we are going to learn,
1) Convert SQL Server Result to Semi structured data file (csv, json, xml, parquet)
2) Read it using pyspark on databricks platform.

parquet file
Reference:
https://github.com/microsoft/AzureSyn...

To Run Powershell script
Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy Unrestricted
Set-ExecutionPolicy -ExecutionPolicy Bypass -Scope CurrentUser

Command to Run in power shell
.\Export-ToParquet.ps1 -ConfigFile .\ConfigFile.csv -ServerName "MYCOMP" -UserName sa -MaxJobsCount 5

command in pyspark
df1=spark.read.format("csv")\
.option("header","false")\
.option("inferschema","false")\
.option("mode","FAILFAST")\
.load("/FileStore/tables/Patient_csv_5L.csv")

df2=spark.read.format("json")\
.option("inferschema","false")\
.option("mode","PERMISSIVE")\
.option("multiline","true")\
.load("/FileStore/tables/Results_490k.json")

df3=spark.read.format("parquet").load("/FileStore/tables/PatientData.parquet")

xmlFile = "/FileStore/tables/Results_xml.xml"

df4 =spark.read.format("com.databricks.spark.xml")\
.option("rowTag","row")\
.option("spark.jars.packages", "com.databricks:spark-xml_2.12:0.17.0")\
.load(xmlFile)

Notes / SQL Query link:
https://learnsqlwithsagar.blogspot.com

your queries:
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