GitHub - ywelsch/duckdb-psql: A piped SQL for DuckDB

PSQL: a piped SQL for DuckDB

PSQL extends DuckDB's SQL with a pipe syntax to provide simple composable queries. It's a lightweight variant of piped languages such as PRQL and Kusto, yet leveraging the full power of DuckDB's SQL.

Pipes allow you to compose your SQL queries in a very natural way (example inspired by PRQL):

from 'https://raw.githubusercontent.com/ywelsch/duckdb-psql/main/example/invoices.csv' |>
where invoice_date >= date '1970-01-16' |>
select
  *, 
  0.8 as transaction_fees,
  total - transaction_fees as income |>
where income > 1 |>
select
  customer_id, 
  avg(total), 
  sum(income) as sum_income, 
  count() as ct
  group by customer_id |>
order by sum_income desc |>
limit 10 |>
as invoices
  join 'https://raw.githubusercontent.com/ywelsch/duckdb-psql/main/example/customers.csv'
    as customers
  on invoices.customer_id = customers.customer_id |>
select
  customer_id,
  last_name || ', ' || first_name as name,
  sum_income,
  version() as db_version;

which returns:

┌─────────────┬─────────────────────┬────────────┬────────────┐
│ customer_id │        name         │ sum_income │ db_version │
│    int64    │       varchar       │   double   │  varchar   │
├─────────────┼─────────────────────┼────────────┼────────────┤
│           6 │ Holý, Helena        │      43.83 │ v0.7.1     │
│           7 │ Gruber, Astrid      │      36.83 │ v0.7.1     │
│          24 │ Ralston, Frank      │      37.83 │ v0.7.1     │
│          25 │ Stevens, Victor     │      36.83 │ v0.7.1     │
│          26 │ Cunningham, Richard │      41.83 │ v0.7.1     │
│          28 │ Barnett, Julia      │      37.83 │ v0.7.1     │
│          37 │ Zimmermann, Fynn    │      37.83 │ v0.7.1     │
│          45 │ Kovács, Ladislav    │      39.83 │ v0.7.1     │
│          46 │ O'Reilly, Hugh      │      39.83 │ v0.7.1     │
│          57 │ Rojas, Luis         │      40.83 │ v0.7.1     │
├─────────────┴─────────────────────┴────────────┴────────────┤
│ 10 rows                                           4 columns │
└─────────────────────────────────────────────────────────────┘

Pipes can also be used in sub-expression, by using a special syntax to delimit start and end of pipelines:

create view invoices as (|
  from 'https://raw.githubusercontent.com/ywelsch/duckdb-psql/main/example/invoices.csv' |>
  where invoice_date >= date '1970-01-16' |>
  select
    0.8 as transaction_fees,
    total - transaction_fees as income
|);

How does it work?

The underlying engine just does a simple syntactic transformation of the query, rewriting pipes

FROM (
FROM (
FROM (
  A
)
  B
)
  C
)
  D

Limitations

This is mainly an experiment at simplifying SQL and nowhere as feature-complete as some of the piped language alternatives. Its main advantage is that is has all the power and expressivity of DuckDB's SQL, while gaining some of the benefits of piped languages. As it is just implemented as a simple pre-processing step using quick and dirty regex subsitutions, it is unaware of the scoping rules of SQL. It has a special syntax for piped sub-expressions (surrounded by (| and |)) and does not allow arbitrary nesting of piped sub-expressions.

Running the extension

The PSQL extension is a DuckDB community extension, and can simply be installed with

install psql from community;

and subsequently loaded with

Build from source

To build the extension:

The main binaries that will be built are:

./build/release/duckdb
./build/release/test/unittest
./build/release/extension/psql/psql.duckdb_extension

duckdb is the binary for the duckdb shell with the extension code automatically loaded.
unittest is the test runner of duckdb. Again, the extension is already linked into the binary.
psql.duckdb_extension is the loadable binary as it would be distributed.

To run the extension code, simply start the shell with ./build/release/duckdb.