File size: 8,626 Bytes
4e1037f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 | """Cut one BIRD Mini-Dev database out of the official PostgreSQL dump.
BIRD ships `MINIDEV_postgresql/BIRD_dev.sql`: a ~955 MB `pg_dump` plain file
that loads **all eleven** Mini-Dev databases into a single `public` schema.
Restoring it whole would put 75 unrelated tables (Formula-1 circuits, card
games, hospital labs β¦) in front of the schema-retrieval step β a different,
much noisier task than the single-database one the product actually serves.
So we slice. Table names are globally unique across the eleven databases
(verified against `dev_tables.json`), which makes a by-table-name slice
unambiguous.
Why not `scripts/load_postgres.py` (SQLite β pandas β Postgres)? Because BIRD's
own Postgres gold SQL is written against **this** dump's schema: identifiers are
folded to lower case (`displayname`, `posthistory`) and dates are real
`timestamptz`, whereas a pandas load reproduces SQLite's CamelCase and text
dates. Gold like `SELECT DisplayName FROM users` resolves to `displayname` in
Postgres and would fail against a pandas-built table. Loading the official dump
is what makes the Postgres eval an apples-to-apples BIRD run rather than a
lookalike. `load_postgres.py` remains the right tool for Chinook and for ad-hoc
SQLite slices where no Postgres gold exists.
Usage:
# what would be extracted (no output file written)
python scripts/extract_pg_dump_slice.py --db codebase_community --list
# write the slice
python scripts/extract_pg_dump_slice.py --db codebase_community \
--out .tmp/codebase_community_pg.sql
"""
from __future__ import annotations
import argparse
import json
import sys
from collections.abc import Iterator
from dataclasses import dataclass, field
from pathlib import Path
from typing import TextIO
from nl_sql.paths import under_root
DEFAULT_DUMP = under_root("data/bird_mini_dev/MINIDEV_postgresql/BIRD_dev.sql")
DEFAULT_TABLES_JSON = under_root("data/bird_mini_dev/MINIDEV/dev_tables.json")
# pg_dump attaches a comment block to every object:
# --
# -- Name: badges badges_pkey; Type: CONSTRAINT; Schema: public; Owner: β¦
# --
# and for data:
# -- Data for Name: badges; Type: TABLE DATA; Schema: public; Owner: β¦
_NAME_PREFIX = "-- Name: "
_DATA_PREFIX = "-- Data for Name: "
# Object types whose `Name:` field starts with the table they belong to.
_TABLE_SCOPED = {
"TABLE",
"TABLE DATA",
"CONSTRAINT",
"FK CONSTRAINT",
"INDEX",
"DEFAULT",
"TRIGGER",
}
@dataclass(frozen=True, slots=True)
class Section:
"""One pg_dump object: its `-- Name:` header plus the SQL that follows."""
name: str
type: str
lines: list[str] = field(repr=False)
@property
def table(self) -> str:
"""Table this object belongs to, lower-cased. Empty when not table-scoped."""
if self.type in _TABLE_SCOPED:
return self.name.split()[0].lower()
return ""
def bird_tables(db_id: str, tables_json: Path = DEFAULT_TABLES_JSON) -> set[str]:
"""Lower-cased table names of one BIRD database, read from dev_tables.json."""
entries = json.loads(tables_json.read_text(encoding="utf-8"))
for entry in entries:
if entry["db_id"] == db_id:
return {t.lower() for t in entry["table_names_original"]}
known = sorted(e["db_id"] for e in entries)
raise KeyError(f"unknown BIRD db_id {db_id!r}. Known: {known}")
def _parse_header(line: str) -> tuple[str, str] | None:
"""Return (name, type) from a pg_dump `-- Name:` comment, else None."""
if line.startswith(_DATA_PREFIX):
rest = line[len(_DATA_PREFIX) :]
elif line.startswith(_NAME_PREFIX):
rest = line[len(_NAME_PREFIX) :]
else:
return None
name, _, tail = rest.partition("; Type: ")
if not tail:
return None
obj_type, _, _ = tail.partition(";")
return name.strip(), obj_type.strip()
def iter_sections(fh: TextIO) -> Iterator[Section]:
"""Stream the dump as objects. The leading SET-block is yielded as PREAMBLE.
Data lines inside `COPY β¦ FROM stdin;` are never scanned for headers β a
StackExchange post body legitimately contains lines starting with `--`, and
treating one as an object boundary would truncate the table mid-load.
"""
current = Section(name="", type="PREAMBLE", lines=[])
in_copy = False
for line in fh:
if in_copy:
current.lines.append(line)
if line.rstrip("\n") == r"\.":
in_copy = False
continue
header = _parse_header(line)
if header is not None:
# The bare `--` line above the header already landed in the previous
# section; harmless (pg_dump ignores stray comments), so leave it.
yield current
current = Section(name=header[0], type=header[1], lines=[line])
continue
current.lines.append(line)
if line.startswith("COPY ") and line.rstrip("\n").endswith("FROM stdin;"):
in_copy = True
yield current
def extract(
dump: Path,
tables: set[str],
out: TextIO | None,
) -> list[Section]:
"""Copy the preamble + every object owned by `tables` from `dump` to `out`."""
kept: list[Section] = []
with dump.open("r", encoding="utf-8", newline="") as fh:
for section in iter_sections(fh):
keep = section.type == "PREAMBLE" or section.table in tables
if not keep:
continue
kept.append(section)
if out is not None:
out.writelines(section.lines)
return kept
def _verify(kept: list[Section], tables: set[str]) -> list[str]:
"""Structural checks β a silently short slice is worse than a loud failure."""
problems: list[str] = []
created = {s.table for s in kept if s.type == "TABLE"}
loaded = {s.table for s in kept if s.type == "TABLE DATA"}
if created != tables:
problems.append(f"CREATE TABLE missing for: {sorted(tables - created)}")
if loaded != tables:
problems.append(f"COPY data missing for: {sorted(tables - loaded)}")
# An FK pointing outside the slice cannot restore β it would reference a
# table we deliberately left behind.
for section in kept:
if section.type == "FK CONSTRAINT":
body = "".join(section.lines)
_, _, ref = body.partition("REFERENCES public.")
target = ref.split("(")[0].strip().lower()
if target and target not in tables:
problems.append(f"FK {section.name!r} references {target!r}, outside the slice")
return problems
def main(argv: list[str] | None = None) -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--db", default="codebase_community", help="BIRD db_id to extract")
parser.add_argument("--dump", type=Path, default=DEFAULT_DUMP, help="path to BIRD_dev.sql")
parser.add_argument("--out", type=Path, default=None, help="output .sql (omit with --list)")
parser.add_argument(
"--list",
action="store_true",
dest="list_only",
help="print the objects that would be extracted and exit",
)
args = parser.parse_args(argv)
if not args.dump.is_file():
print(f"[error] dump not found: {args.dump}", file=sys.stderr)
return 2
if not args.list_only and args.out is None:
print("[error] pass --out PATH (or --list to preview)", file=sys.stderr)
return 3
tables = bird_tables(args.db)
print(f"[info] {args.db}: {len(tables)} tables β {sorted(tables)}")
if args.list_only:
kept = extract(args.dump, tables, out=None)
else:
args.out.parent.mkdir(parents=True, exist_ok=True)
with args.out.open("w", encoding="utf-8", newline="") as out_fh:
kept = extract(args.dump, tables, out=out_fh)
by_type: dict[str, list[str]] = {}
for section in kept:
if section.type == "PREAMBLE":
continue
by_type.setdefault(section.type, []).append(section.name)
for obj_type in sorted(by_type):
print(f" {obj_type}: {', '.join(sorted(by_type[obj_type]))}")
problems = _verify(kept, tables)
if problems:
for problem in problems:
print(f"[error] {problem}", file=sys.stderr)
return 4
if args.out is not None:
size_mb = args.out.stat().st_size / 1e6
print(f"[ok] wrote {args.out} ({size_mb:.0f} MB)")
else:
print("[ok] slice is structurally complete (use --out to write it)")
return 0
if __name__ == "__main__":
sys.exit(main())
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