cancel
Turn on suggestions
Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.
Showing results for 
Search instead for 
Did you mean: 
Help
Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
cancel
Turn on suggestions
Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.
Showing results for 
Search instead for 
Did you mean: 

Forum Posts

Start a conversation
Mado
by • Valued Contributor II
  • 9341 Views
  • 4 replies
  • 4 kudos

Resolved! Difference between "spark.table" & "spark.read.table"?

Hi,I want to make a PySpark DataFrame from a Table. I would like to ask about the difference of the following commands:spark.read.table(TableName)&spark.table(TableName)Both return PySpark DataFrame and look similar. Thanks.

Data Engineering
Reply
  • 9341 Views
  • 4 replies
  • 4 kudos
View Replies
Latest Reply
Mado
Valued Contributor II
  • 4 kudos

Hi @Kaniz Fatma​ I selected answer from @Kedar Deshpande​ as the best answer.

  • 4 kudos
3 More Replies
Mado
by • Valued Contributor II
  • 775 Views
  • 1 replies
  • 3 kudos

Resolved! How to specify directory when reading table?

Hi, Assume that I have created several tables in Databricks workspace. If two tables have similar names but stored in different folders, how I can read them by "spark.read.table". I ask this question because input to the "spark.read.table" is only ta...

Data Engineering
Reply
  • 775 Views
  • 1 replies
  • 3 kudos
View Replies
Latest Reply
Hubert-Dudek
Esteemed Contributor III
  • 3 kudos

spark.read.table reads table registered in catalog/metastore. If you have multiple databases in metastore, just prefix table name with database name db.table

  • 3 kudos
Labels