![]() ![]() Alteryx DBs have a much quicker read speed. Once you're done you delete the Alteryx DB and reconnect to your data stream out. You can then connect your data to the Alteryx DB, where the stream out was before. You can then put all your in-DB tools into a container and disable it while you're working on the workflow. The other suggestion is to once off stream your SQL DB into an Alteryx DB. When you're done developing you can remove the filter. This video shows how you can import CSV file to SQLite DB Browser. ![]() You can put a filter into your in-DB stream and only work on a very narrowed down data set (eg: 1 day instead of whole month). Streaming out the data essentially means that the entire data set is downloaded from the SQL DB to your computer.Īnother tip - while you're building your workflow there are 2 suggestions to speeding up development. separator STRING Change separator used by output mode and. import FILE TABLE Import data from FILE into TABLE. Try and narrow down your data as far as possible and only stream out the data you really need. First you have to set separator string, then you can import you csv file to the desired parator ','. If that's not possible, then I'd always recommend connecting in-DB. If performance improvements to the table are possible that might help. sqlite file on ramdisk everything is wonderful. Often it is due to the underlying SQL table not being set up very efficiently. Alteryx can't do much if the underlying table is slow. Just read the CSV into Excel and make a line graph on the one column of data. Hi tend to have similar issues with some of my SQL connections.
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