Hi! Im using Autoloader to ingest Binary files into delta format. I have 7 binary files but delta generate 3 files and the format is part-0000, part-0001... Why generate this files with format part-000...
Hi @Alejandro Piury Pinzón​ We haven't heard from you since the last response from @Lakshay Goel​ r​, and I was checking back to see if her suggestions helped you.Or else, If you have any solution, please share it with the community, as it can be hel...
Hello everyone, I have an intermittent issue when trying to create a Delta table for the first time in Databricks: all the data gets converted into parquet at the specified location but the _delta_log is not created or, if created, it's left empty, t...
Can you list (display) the folder location "deltaLocation"? what files do you see here? have you try to use a new location for testing? do you get the same behavior?
Very often, we need to know how many files my table path contains and the overall size of the path for various optimizations. In the past, I had to write my own logic to accomplish this.Delta Lake is making life easier. See how simple it is to obtain...
I'm trying to reuse a Python Package to do a very complex series of parsing binary files into workable data in Delta Format. I have made the first part (binary file parsing) work with a UDF:asffileparser = F.udf(File()._parseBytes,AsfFileDelta.getSch...
Is it possible to reapply schema in delta files? For example, we have a history with field string but from some point, we need to replace string with struct.In my case merge option and overwrite schema don't work.
We have configured workspace with own vpc. We need to extract data from DB2 and write as delta format. we tried to for 550k records with 230 columns, it took 50mins to complete the task. 15mn records takes more than 18hrs. Not sure why this takes suc...
Hello. We face exactly the same issue. Reading is quick but writing takes long time. Just to clarify that it is about a table with only 700k rows. Any suggestions please? Thank youremote_table = spark.read.format ( "jdbc" ) \.option ( "driver" , "com...
Hi @Stephanie Rivera​,Just a friendly follow-up. Did any of the responses help you to resolve your question? if it did, please mark it as best. Otherwise, please let us know if you still need help.
Scenario : I have a dataframe that have 5 billion records/rows and 100+ columns. Is there a way to write this in a delta format efficiently. I have tried to export it but cancelled it after 2 hours (write didnt finish) as this processing time is not ...
I have a path where there is _delta_log and 3 snappy.parquet files. I am trying to read all those .parquet using spark.read.format('delta').load(path) but I am getting data from only one same file all the time. Can't I read from all these files? If s...
Hi as it is transaction tables (there are history commits and snapshot). I would not store there images or videos as it can be saved few times and you will have high storage costs, it can also be slow when data is big.I would definitely store images,...
Many a times there is a need to convert Delta tables from Delta format to plain parquet format for a number of reasons, what is the best way to do that?
You can easily convert a Delta table back to a Parquet table using the following steps:If you have performed Delta Lake operations that can change the data files (for example, delete or merge, run vacuum with retention of 0 hours to delete all data f...
