Thanks to everyone who joined the Best Practices for Your Data Architecture session on Optimizing Data Performance. You can access the on-demand session recording here and the pre-run performance benchmarks using the Spark UI Simulator. Proper cluste...
Advantage of using Photon EngineThe following summarizes the advantages of Photon:Supports SQL and equivalent DataFrame operations against Delta and Parquet tables.Expected to accelerate queries that process a significant amount of data (100GB+) and ...
Data is stored in the control plane. Metadata (eg feature table descriptions, column types, etc) is stored in the control plane. The location where the Delta table is stored is determined by the database location. The customer could call CREATE DATA...
I'm trying to run Delta Lake MergeMERGE INTO source USING updates ON source.d = updates.sessionId WHEN MATCHED THEN UPDATE * WHEN NOT MATCHED THEN INSERT *I'm getting an SQL errorParseException: mismatched input 'MERGE' expecting {'(', 'SELECT', 'FR...
The merge SQL support is added in Delta Lake 0.7.0. You also need to upgrade your Apache Spark to 3.0.0 and enable the integration with Apache Spark DataSourceV2 and C
I can see an example on how to call the vacuum function for a Delta lake in python here. how to use the same in python %sql VACUUM delta.`dbfs:/mnt/<myfolder>` DRY RUN
The dry run for non-SQL code is not yet available in Delta version 0.8. I see there is a bug that is opened with delta opensource in git . hope it get resolved soon
The impact will be only on the files touched by the MERGE operation. The newly created files will not be optimized and data co-locality is not ensured. However, the files which are not touched by the MERGE operation will continue to show the improvem...
What would be good for me , if I should use Optimize every time or should I be using auto-optimize?
Optimize: Bin-packing/Compaction. Idempotent and IncrementalOptimize + Z-Order: Helps in Data Skipping; Use Range PartitioningOptimize write: Improve the write operation to the Delta table. optimization is performed before the write/during the writ...
Delta sharing Features-Share live data directly - Easily share existing, live data in your Delta Lake without copying it to another system.Support diverse clients - Data recipients can directly connect to Delta Shares from Pandas, Apache Spark™, Rus...
Is it possible to write same table with Databricks and from OSS too, Also what if I want to read the data from Map redeuce or hive
Yes. The Delta client is open source, and lets you read/write Delta tables if you add it to your external application. See https://docs.delta.io/latest/index.html
