Fastest way to load into SQL table in Azure Databricks
Question
What is the fastest and the most efficient way to load into a SQL table from an Azure Databricks notebook?
1 answers
solution1
0 2021-08-19 10:46:32
The best practice to load data into SQL is using partition tables and column-stored indexes .
You can find a sample repro guide here .
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.
Related Question
Export data table from Databricks dbfs to azure sql database
Is there a way to calculate the number of rows by table, schema and catalog in Databricks SQL (Spark SQL)?
Error Databricks Scala Application with Azure Table Storage
Azure Data Lake Store as EXTERNAL TABLE in Databricks with multiple PATH?
Any benefits of using Pyspark code over SQL in Azure databricks?
Is there a way to trigger a Logic App on a deletion of a record in an Azure SQL table?
How to execute a Spark SQL merge statement on an Iceberg table in Databricks?
How to create a table in databricks from an existing table on SQL
Azure Web Apps: Fastest Way(s) to Transfer Files Between Apps
How to stream data from SQL Table with Apache Spark with Databricks
Related Tags