Databricks

Alexander1 · 02-03-2023

I have spent way too much time to find a solution to the problem of efficiently writing data to Databricks via JDBC/ODBC. I have looked into countless docs, blogs and repos and I cannot find one example where someone is setting some kind of batch/bul...

Alexander1 · 10-08-2021

I am searching for the Databricks JDBC 2.6.19 documentation page. I can find release notes from the Databricks download page (https://databricks-bi-artifacts.s3.us-east-2.amazonaws.com/simbaspark-drivers/jdbc/2.6.19/docs/release-notes.txt) but on Mag...

Alexander1 · 04-09-2023

@Vidula Khanna yes, have done so. thanks.

Alexander1 · 04-03-2023

Hi @Suteja Kanuri thanks for the reply. Let me take your options one by one.Apache Spark JDBC connector: I don't see a bulk/batch write option TO spark only from spark to OTHER databases; if you have a docs pointer, it would be highly appreciated;sp...

Alexander1 · 01-31-2022

We have similar issues. Just two remarks. How can you have managed tables in a mount? I thought these are limited to the hive metastore in the default location. Second, are you aware that you can have a mount with credential passthrough? That means a...

Alexander1 · 11-07-2021

By the way what is still wild, is that the Simba docs say 2.6.16 does only support until Spark 2.4 while the release notes on Databricks download page say 2.6.16 already supports Spark 3.0. Strange that we get contradicting info from the actual driv...

Alexander1 · 11-07-2021

@Arjun Kaimaparambil Rajan Hi Arjun, sorry I missed your reply. Indeed, the direct download comes with the latest docs as pdf. This seems pretty archaic to me since now I have to send people PDFs so the can read the docs instead of pointing them to ...

Databricks

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Databricks JDBC/ODBC write batch size

Databricks JDBC 2.6.19 documentation

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Re: Overall security/access rights concept needed (combine Table Access Control and Credential Passthrough), how to allow users the benefits of both worlds

Re: Databricks JDBC 2.6.19 documentation

Re: Databricks JDBC 2.6.19 documentation