The pipe operator is a semantic execution barrier:everything before the `|>` is assumed to have executed and returned a table before what follows begins:
From the paper:
> Each pipe operator is a unary relational operation that takes one table as input and produces one table as output.
Vanilla SQL is actually more complex in this respect because you have, for example, at least 3 different keywords for filtering (WHERE, HAVING, QUALIFY) and everyone who reads your query needs to understand what each keyword implies regarding execution scheduling. (WHERE is before grouping, HAVING is after aggregates, and QUALIFY is after analytic window functions.)
If you're referring to this in the comment you're replying to:
> Can we call this SQL anymore after this? This re-ordering of things ...
Then they're clearly just saying that this is a reordering compared to SQL, which is undeniably true (and the while point).
Isn't that FILTER (WHERE), as in SELECT avg(...) FILTER (WHERE ...) FROM ...?
I already think about SQL like this (as operation on lists/sets), however thinking of it like that, and having previous operations feed into the next, which is conceptually nice, seems to make it hard to do, and think about:
> *(the query engine is free to optimize the execution plan as long as the semantics are preserved)
since logically each part between the pipes doesn't know about the others, so global optimizations, such as use of indexes to restrict the result of a join based on the where clause can't be done/is more difficult.
Other engines that implement it are direct competitors in that space: Snowflake, Databricks SQL, BigQuery, Clickhouse, and duckdb (only OSS implementation I now). Point is: if you want to compete with Teradata and be a possible migration target, you want to implement QUALIFY.
Anecdote: I went from a company that had Teradata to another where I had to implement all the data stack in GCP. I shed tears of joy when I knew BQ also had QUALIFY. And the intent was clear, as they also offered various Teradata migration services.
But this thing resembles other FROM-clause-first variants of SQL, thus GP's point about this being just a reordering. GP is right: the FROM clause gets re-ordered to be first, so it's a reordering.
All these years I've been doing that reordering and didn't even realize!