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Spark Connect to Databases

This series includes tutorials about how to read data from or write data into databases via JDBC or other drivers. With Java, Spark can interact with many SQL databases such as SQL Server, Oracle, Teradata, MySQL, PostgreSQL, SQLite, etc. 

Spark Connect to Databases
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Connect to MySQL in Spark (PySpark)
Connect to MySQL in Spark (PySpark)
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#spark #pyspark #mysql #spark-database-connect
visibility 2,361
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access_time 9m
open_in_new Spark
Save DataFrame to SQL Databases via JDBC in PySpark
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#pyspark #spark-2-x #teradata #SQL Server #spark-database-connect
visibility 23,095
thumb_up 1
access_time 2y
open_in_new Spark
Spark Read from SQL Server Source using Windows/Kerberos Authentication
Spark Read from SQL Server Source using Windows/Kerberos Authentication
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#pyspark #SQL Server #spark-2-x #spark-database-connect
visibility 3,027
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access_time 2y
open_in_new Spark
Load Data from Teradata in Spark (PySpark)
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#teradata #spark #pyspark #spark-database-connect
visibility 12,354
thumb_up 1
access_time 11m
open_in_new Spark
Read Data from Hive in Spark 1.x and 2.x
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#spark #pyspark #hive #spark-database-connect
visibility 1,889
thumb_up 0
access_time 11m
open_in_new Spark
Spark - Save DataFrame to Hive Table
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#python #spark #pyspark #hive #spark-database-connect
visibility 50,655
thumb_up 7
access_time 11m
open_in_new Spark
Connect to SQL Server in Spark (PySpark)
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#SQL Server #python #spark #pyspark #spark-database-connect
visibility 44,340
thumb_up 5
access_time 11m
open_in_new Spark

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