One thing that I am always looking for in a new "reusable", "composable" SQL tool is reuse of the same analytical queries across different source tables. My litmus test: I have a table "people" with the columns "people.firstname", "people.lastname", and a table "persons" with the columns "persons.firstname", "persons.lastname". I now want to create a query that gives me the "fullname" (".firstname" + " " + ".lastname…
Hi, Having this sort of "table polymorphism" is something we've thought a lot about for PRQL and is definitely something we want to get right. That said it's not straightforward but you can do a lot of it already. You can try the following examples for yourself in the PRQL Playground ( https://prql-lang.org/playground/ ). First a simple example using functions as they are documented: ```prql let fullname = func first…
Show HN: Trilogy – A Reusable, Composable SQL Experiment
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Re: Show HN: Trilogy – A Reusable, Composable SQL Experiment
#22One thing that I am always looking for in a new "reusable", "composable" SQL tool is reuse of the same analytical queries across different source tables. My litmus test: I have a table "people" with the columns "people.firstname", "people.lastname", and a table "persons" with the columns "persons.firstname", "persons.lastname". I now want to create a query that gives me the "fullname" (".firstname" + " " + ".lastname…
I wrote a longer blog post about this recently: https://carlineng.com/?postid=holy-grail-data-engineering#bl...
Re: Show HN: Trilogy – A Reusable, Composable SQL Experiment
#23Will take a proper look when I get a chance.
In the meantime, I just wanted to say: nice name! ;-)
Re: Show HN: Trilogy – A Reusable, Composable SQL Experiment
#24One thing that I am always looking for in a new "reusable", "composable" SQL tool is reuse of the same analytical queries across different source tables. My litmus test: I have a table "people" with the columns "people.firstname", "people.lastname", and a table "persons" with the columns "persons.firstname", "persons.lastname". I now want to create a query that gives me the "fullname" (".firstname" + " " + ".lastname…
I agree 100% that this needs to be more of a thing. For data engineers building data pipelines, queries are like functions, and table schemas are like types. There needs to be a way to write a query that runs on an abstract interface, rather than an actual table. To do this, most folks rely on string templating in Python or Jinja, which makes the development process really cumbersome. As a result, most teams end up i…
Re: Show HN: Trilogy – A Reusable, Composable SQL Experiment
#25Earlier quoted context omitted.
TBH, I don't think your test is very useful in real world environments. That is, you have 2 independent tables, and you're wanting the solution to depend on the fact that there are columns that are named the same across both tables. IMO these kinds of "shortcuts based on column naming across tables" usually end in disaster down the road. For example, I've been bitten in the past by "natural joins" when we've wanted t…
Oh, I 100% agree with you. > IMO these kinds of "shortcuts based on column naming across tables" usually end in disaster down the road. I can see that point, and that was not what I wanted to express with my litmus test. It's only supposed to be a litmus test after all. In a proper solution there would be additional things I would be looking for, but so far everything I've seen already fails that "trivial" test. One…
Re: Show HN: Trilogy – A Reusable, Composable SQL Experiment
#26One thing that I am always looking for in a new "reusable", "composable" SQL tool is reuse of the same analytical queries across different source tables. My litmus test: I have a table "people" with the columns "people.firstname", "people.lastname", and a table "persons" with the columns "persons.firstname", "persons.lastname". I now want to create a query that gives me the "fullname" (".firstname" + " " + ".lastname…
I agree 100% that this needs to be more of a thing. For data engineers building data pipelines, queries are like functions, and table schemas are like types. There needs to be a way to write a query that runs on an abstract interface, rather than an actual table. To do this, most folks rely on string templating in Python or Jinja, which makes the development process really cumbersome. As a result, most teams end up i…
Seeing that both someone working on PRQL and Malloy replied and to both of you it's an understood pain makes me feel a lot better about the future of these tools! When talking about that with people that are not that deep into the problem it is often hard to transport the difference between this kind of composability vs. the composability that the tools are offering today, and the implications that come with that.
At a past startup I had the fortune to be able to work on a similar system to what I am looking for: Packageable, reusable relation algebra inspired by Substrait. It had the downside though that it was quite tied to RDF and SPARQL in its implementation, and now I'm chasing something similar in the SQL world :D
Re: Show HN: Trilogy – A Reusable, Composable SQL Experiment
#27One thing that I am always looking for in a new "reusable", "composable" SQL tool is reuse of the same analytical queries across different source tables. My litmus test: I have a table "people" with the columns "people.firstname", "people.lastname", and a table "persons" with the columns "persons.firstname", "persons.lastname". I now want to create a query that gives me the "fullname" (".firstname" + " " + ".lastname…
https://github.com/totalhack/zillion
Disclaimer: been sidetracked by an acquisition at my day job this year, intend to put more time into this project soon, but I use it in production to great effect.
Re: Show HN: Trilogy – A Reusable, Composable SQL Experiment
#28One thing that I am always looking for in a new "reusable", "composable" SQL tool is reuse of the same analytical queries across different source tables. My litmus test: I have a table "people" with the columns "people.firstname", "people.lastname", and a table "persons" with the columns "persons.firstname", "persons.lastname". I now want to create a query that gives me the "fullname" (".firstname" + " " + ".lastname…
I agree 100% that this needs to be more of a thing. For data engineers building data pipelines, queries are like functions, and table schemas are like types. There needs to be a way to write a query that runs on an abstract interface, rather than an actual table. To do this, most folks rely on string templating in Python or Jinja, which makes the development process really cumbersome. As a result, most teams end up i…
Re: Show HN: Trilogy – A Reusable, Composable SQL Experiment
#29One thing that I am always looking for in a new "reusable", "composable" SQL tool is reuse of the same analytical queries across different source tables. My litmus test: I have a table "people" with the columns "people.firstname", "people.lastname", and a table "persons" with the columns "persons.firstname", "persons.lastname". I now want to create a query that gives me the "fullname" (".firstname" + " " + ".lastname…
I agree 100% that this needs to be more of a thing. For data engineers building data pipelines, queries are like functions, and table schemas are like types. There needs to be a way to write a query that runs on an abstract interface, rather than an actual table. To do this, most folks rely on string templating in Python or Jinja, which makes the development process really cumbersome. As a result, most teams end up i…
Proper use of SQL inverts control. Instead of parameterizing query by table, you write a query and at the actual use site you join it on the table you need by fields your query provides. VIEWs allows you to not repeat yourself too often.
Best thing is that you do not need to even mention that "abstract interface table" as a parameter at all.