Generate random (and sometimes valid!) SQL queries from any local datasets in Parquet, CSV, JSON, or Avro format.
bash
cargo install sqlfuzz
bash
sqlfuzz query \
--table ./testdata/test0.parquet ./testdata/test1.parquet \
--join-type inner left right full semi anti \
--count 5 \
--max-depth 5
sql
SELECT table_alias_29.a, table_alias_29.b, table_alias_29.c
FROM
(SELECT table_alias_28.a, table_alias_28.b, table_alias_28.c
FROM (SELECT table_alias_27.a, table_alias_27.b, table_alias_27.c
FROM (SELECT test.a, test.b, test.c
FROM test) table_alias_27
WHERE table_alias_27.a <= table_alias_27.a) table_alias_28) table_alias_29
Full JOIN
(SELECT table_alias_31.a, table_alias_31.b, table_alias_31.c
FROM (SELECT table_alias_30.a, table_alias_30.b, table_alias_30.c
FROM (SELECT test.a, test.b, test.c
FROM test) table_alias_30) table_alias_31) table_alias_32
ON table_alias_29.b = table_alias_32.a;
If you don't already have suitable data, you can generate random data files to run the query fuzzer against.
bash
sqlfuzz data --path ./testdata --num-files 4 --row-count 20