I'm using databricks to mount to my blob storage with this function:
dbutils.fs.mount()
So I am fetching data and saving data from/to blob. I have partitioned my path so the path looks like <container_name>/year/month/day/<blob_file>. When I save my csv file it creates additional files with the same name as my partition folder, that is /year/month/day. Below is a snapshot of how it looks like in folder month:
Related
I have BLOB files (pdfs) on Oracle and I'm trying to migrate them all to Snowflake.
My goal is to be able to download the BLOB files (that would be the VARBINARY then) from Snowflake directly instead of just having the hex code.
I understand I'd need a Amazon S3 bucket or any blob storage but still, how from Snowflake could I have access to the pdf files as it is column-based relational database?
How would I do it?
Thank you
I am observing that whenever I create a new folder inside the Azure blob storage, a block blob file with the same name as the folder is auto created. I dont know why and what setting is making this behave this way. Any pointers on why and how to disable this ? Thank you.
In azure blob storage(not Azure data lake storage Gen2), you should know one important thing: You cannot create an empty folder. The reason is that blob storage has a 2 level hierarchy - blob container and blob. Any folder/directory should be part of a blob.
If you want to create an empty folder, you can use Azure data lake storage Gen2 instead. It's built on blob storage and has some familiar operations.
I have created an unmanaged table in Azure DataBricks using mount path as below:
CREATE TABLE <Table-Name> using org.apache.spark.sql.parquet OPTIONS (path "/mnt/<folder>/<subfolder>/")
Source of mount path is parquet files stored in ADLS Gen2.
I see if the underlying data is changed in ADLS Gen 2 blob storage path, it is not reflected in the unmanaged table created in ADB. This ADB table still holds the data which was available in blob storage at time of creation of table
Is there any way to get the latest data from blob storage into table in ADB?
There are many who suggest to use ,
REFRESH TABLE <table-name>
https://docs.databricks.com/data/tables.html#update-a-table
But it never worked for me .
The below think it worked .
yourdataframe.write.mode("overwrite").saveAsTable("test_table")
Trying to upload two files into one folder at the same time I need to save those filename into mysql database with different columns.
Uploading into folder is happening but I'm not able to save those file names into database.
I'm useing java to write some programe,
I need to insert some file into database such as ".mp3, .wav" files.
by the way how insert these file into oracle database?
Have you considered just storing the MP3 metadata and file location. I worked on a image server years ago and we attempted storing the images inside the database. It was much faster to just hand off the file location to the server service requesting it, then it would fetch the file. It is possible to load the mp3 binary file into a the database as a BLOB if you really want to.