Froid: Optimization of Imperative Programs in a Relational Database [pdf] (opens in new tab)

(vldb.org)

64 pointsrodionos7y ago12 comments

12 comments

I am a co-author of the Froid paper, and am around if people have any questions/comments/feedback.

Froid is now available as a feature of SQL Server 2019 preview. The feature is called "Scalar UDF Inlining" https://blogs.msdn.microsoft.com/sqlserverstorageengine/2018...

Available to try out for free here: https://www.microsoft.com/en-us/sql-server/sql-server-2019

RMarcus7y ago

I've only read part of it, but it seems great so far! I always appreciate the clarity and practicality y'all at the JGL take.

I'm amazed that the implementation was under 1500 LOC! Was that the research prototype or the shipped preview?

Congratulations on the VLDB paper! Hopefully I'll come say "hi" in LA :)

karthiksr7y ago

Thank you.

The shipped preview has only a bit more than 1500LOC.

The VLDB paper was presented at Rio in Aug this year already, but I'll try to come over to LA anyways :)

2 more replies

maslam7y ago

Thank you for the paper - it is well-written and succinct. Karhik, do you think this approach can be applied to Apache Spark as well (given its well-known slowness with UDFs)?

karthiksr7y ago

Thank you. Conceptually the ideas behind Froid follow from relational algebra so it can be applied to other relational engines as well. However, the details still need to be figured before making any concrete statement.

If you could share any pointers about UDFs and their performance problems in Spark, I would love to investigate more.

prince6177y ago

You might want to check out this related work: http://casper.uwplse.org

1 more reply

gigatexal7y ago

Why does the first example return price as a char? Looking forward to reading the paper fully. I just scanned it.

karthiksr7y ago

It returns a formatted string including the price and the currency code. Eg: "5000 USD".

j / k navigate · click thread line to collapse

12 comments

karthiksr7y ago

I am a co-author of the Froid paper, and am around if people have any questions/comments/feedback.

Froid is now available as a feature of SQL Server 2019 preview. The feature is called "Scalar UDF Inlining" https://blogs.msdn.microsoft.com/sqlserverstorageengine/2018...

Available to try out for free here: https://www.microsoft.com/en-us/sql-server/sql-server-2019

RMarcus7y ago

I've only read part of it, but it seems great so far! I always appreciate the clarity and practicality y'all at the JGL take.

I'm amazed that the implementation was under 1500 LOC! Was that the research prototype or the shipped preview?

Congratulations on the VLDB paper! Hopefully I'll come say "hi" in LA :)

karthiksr7y ago

Thank you.

The shipped preview has only a bit more than 1500LOC.

The VLDB paper was presented at Rio in Aug this year already, but I'll try to come over to LA anyways :)

2 more replies

maslam7y ago

Thank you for the paper - it is well-written and succinct. Karhik, do you think this approach can be applied to Apache Spark as well (given its well-known slowness with UDFs)?

karthiksr7y ago

If you could share any pointers about UDFs and their performance problems in Spark, I would love to investigate more.

prince6177y ago

You might want to check out this related work: http://casper.uwplse.org

1 more reply

gigatexal7y ago

Why does the first example return price as a char? Looking forward to reading the paper fully. I just scanned it.

karthiksr7y ago

It returns a formatted string including the price and the currency code. Eg: "5000 USD".

j / k navigate · click thread line to collapse