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sql.py
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executable file
·422 lines (331 loc) · 14.8 KB
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#!/usr/bin/env python3
import argparse
import ast
import atexit
import math
import os
from dataclasses import dataclass
from typing import Any
from rich.console import Console
from rich.table import Table
from benchmarks.benchmark import benchmark_arguments, benchmarks
from dbms.dbms import DBMS, Result, database_systems
@dataclass
class ReplConfig:
repeats: int
fetch_result: bool
timeout: int
fetch_result_limit: int
console = Console()
HISTORY_FILE = os.path.expanduser("~/.olapbench_sql_history")
def _setup_history():
try:
import readline
readline.set_history_length(5000)
if os.path.exists(HISTORY_FILE):
readline.read_history_file(HISTORY_FILE)
atexit.register(readline.write_history_file, HISTORY_FILE)
except Exception:
# History is optional; continue without it if readline is unavailable.
pass
def _parse_key_value(items: list[str] | None) -> dict[str, Any]:
if not items:
return {}
parsed: dict[str, Any] = {}
for item in items:
if "=" not in item:
raise ValueError(f"Invalid key=value argument: {item}")
key, raw_value = item.split("=", 1)
key = key.strip()
raw_value = raw_value.strip()
parsed[key] = _parse_value(raw_value)
return parsed
def _parse_value(raw_value: str) -> Any:
lower = raw_value.lower()
if lower == "true":
return True
if lower == "false":
return False
try:
return int(raw_value)
except ValueError:
pass
try:
return float(raw_value)
except ValueError:
pass
try:
return ast.literal_eval(raw_value)
except Exception:
return raw_value
def _normalize_special_params(dbms_name: str, params: dict[str, Any]) -> dict[str, Any]:
if "index" in params and isinstance(params["index"], str):
params["index"] = DBMS.Index.from_string(params["index"])
if dbms_name in {"umbra", "umbradev"}:
from dbms.umbra import Umbra
if "relation" in params and isinstance(params["relation"], str):
params["relation"] = Umbra.Relation.from_string(params["relation"])
if "backend" in params and isinstance(params["backend"], str):
params["backend"] = Umbra.Backend.from_string(params["backend"])
if "indexMethod" in params and isinstance(params["indexMethod"], str):
params["indexMethod"] = Umbra.IndexMethod.from_string(params["indexMethod"])
return params
def _format_ms(value: float) -> str:
if math.isnan(value):
return "nan"
return f"{value:.2f} ms"
def _get_benchmark_query(queries: list[tuple[str, str]], identifier: str) -> tuple[str, str]:
index: int | None = None
try:
index = int(identifier)
except ValueError:
pass
if index is not None:
if index < 1 or index > len(queries):
raise ValueError(f"Benchmark query index out of range: {identifier}")
return queries[index - 1]
for name, query in queries:
if name == identifier:
return name, query
raise ValueError(f"Unknown benchmark query: {identifier}")
def _print_result_table(columns: list[Any], rows: list[list[Any]]):
if not rows:
print("Result: <empty>")
return
headers = [str(c) for c in columns] if columns else [f"col{i + 1}" for i in range(len(rows[0]))]
width_count = max(len(headers), max((len(r) for r in rows), default=0))
if len(headers) < width_count:
headers.extend([f"col{i + 1}" for i in range(len(headers), width_count)])
table = Table(show_header=True, header_style="bold")
for header in headers:
table.add_column(header)
for row in rows:
rendered = ["NULL" if v is None else str(v) for v in row]
if len(rendered) < width_count:
rendered.extend([""] * (width_count - len(rendered)))
table.add_row(*rendered)
console.print(table)
def _execute_query(dbms, query_name: str, query_text: str, config: ReplConfig):
result = Result()
for _ in range(config.repeats):
run_result = dbms._execute(
query_text,
fetch_result=config.fetch_result,
timeout=config.timeout,
fetch_result_limit=config.fetch_result_limit,
)
result.merge(run_result)
total_runtime = sum(result.client_total) if result.client_total else math.nan
print()
if result.state != Result.SUCCESS and result.message:
print(f"Error: {result.message}")
if config.fetch_result and result.state == Result.SUCCESS:
_print_result_table(result.columns, result.result)
runs_text = f"runs={config.repeats}"
runtime_text = f"total={_format_ms(total_runtime)}"
state_text = f"state={result.state}"
query_text_summary = f"query={query_name}"
rows_value = result.rows if result.rows is not None else (len(result.result) if result.result else 0)
rows_text = f"rows={rows_value}" if config.fetch_result and result.state == Result.SUCCESS else "rows=n/a"
per_run_text = f"per_run=[{', '.join(_format_ms(t) for t in result.client_total)}]" if result.client_total else "per_run=[]"
print(f"{query_text_summary} | {state_text} | {runtime_text} | {runs_text} | {rows_text} | {per_run_text}")
def _format_cardinality(value: Any) -> str:
return "?" if value is None else str(value)
def _format_operator_details(operator: Any) -> str:
details: list[str] = []
for key, value in vars(operator).items():
if key in {"operator_type", "operator_id"} or value is None:
continue
details.append(f"{key}={value}")
return ", ".join(details)
def _print_plan_tree(node: Any, prefix: str = "", is_last: bool = True):
connector = "└─>" if is_last else "├─>"
operator = node.operator
op_type = operator.operator_type.name
op_id = operator.operator_id
est = _format_cardinality(node.estimated_cardinality)
exact = _format_cardinality(node.exact_cardinality)
details = _format_operator_details(operator)
details_text = f", {details}" if details else ""
print(f"{prefix}{connector} {op_type} [id={op_id}, exact={exact}, est={est}{details_text}]")
children = getattr(node, "children", [])
for i, child in enumerate(children):
child_is_last = i == len(children) - 1
child_prefix = prefix + (" " if is_last else "│ ")
_print_plan_tree(child, child_prefix, child_is_last)
def _explain_query(dbms, query_name: str, query_text: str, timeout: int):
print(f"\nExplain: {query_name}")
query_plan = dbms.retrieve_query_plan(query_text, include_system_representation=True, timeout=timeout)
if query_plan is None or getattr(query_plan, "plan", None) is None:
print("No plan available for this system/query.")
return
print("Plan:")
_print_plan_tree(query_plan.plan)
def _resolve_explain_input(value: str, queries: list[tuple[str, str]]) -> tuple[str, str]:
value = value.strip()
if value.startswith("\\run "):
identifier = value[len("\\run "):].strip()
return _get_benchmark_query(queries, identifier)
return "ad_hoc", value
def _print_help():
print("""
Commands:
\\help Show this help
\\list List benchmark queries
\\run <index|name> Run benchmark query by 1-based index or filename
\\explain <sql|\\run ...> Explain a SQL query or benchmark query
\\repeat <n> Set repeats
\\fetch <on|off> Enable or disable result extraction
\\timeout <seconds> Set query timeout in seconds (0 = disabled)
\\limit <n> Set fetch result row limit (0 = unlimited)
\\config Show current config
\\quit Exit
Any non-command input is treated as SQL and executed.
Multi-line SQL is supported (input ends when a line ends with ';').
""".strip())
def _print_config(config: ReplConfig):
print(
f"Config: repeats={config.repeats}, fetch_result={config.fetch_result}, "
f"timeout={config.timeout}s, fetch_result_limit={config.fetch_result_limit}"
)
def main():
parser = argparse.ArgumentParser(description="Interactive SQL REPL for OLAPBench systems")
parser.add_argument("--dbms", required=True, choices=sorted(database_systems().keys()), help="Database system")
parser.add_argument("--db", dest="db_dir", type=str, default="db", help="Database directory (default: ./db)")
parser.add_argument("--data", dest="data_dir", type=str, default="data", help="Data directory (default: ./data)")
parser.add_argument("--param", action="append", default=[], help="DBMS parameter in key=value format (repeatable)")
parser.add_argument("--setting", action="append", default=[], help="DBMS setting in key=value format (repeatable)")
parser.add_argument("--repeats", type=int, default=1, help="Number of repetitions per query (default: 1)")
parser.add_argument("--timeout", type=int, default=0, help="Query timeout in seconds (default: 0 = disabled)")
parser.add_argument("--fetch-result", action=argparse.BooleanOptionalAction, default=True, help="Fetch and print query result")
parser.add_argument("--fetch-result-limit", type=int, default=0, help="Limit fetched rows (default: 0 = unlimited)")
parser.add_argument("--query", type=str, default=None, help="Run this ad-hoc SQL query once before entering REPL")
parser.add_argument("--benchmark-query", type=str, default=None, help="Run benchmark query by index or name before entering REPL")
parser.add_argument("--no-repl", action="store_true", help="Exit after optional --query/--benchmark-query")
benchmark_arguments(parser)
args = parser.parse_args()
_setup_history()
if args.repeats < 1:
raise ValueError("--repeats must be >= 1")
if args.timeout < 0:
raise ValueError("--timeout must be >= 0")
if args.fetch_result_limit < 0:
raise ValueError("--fetch-result-limit must be >= 0")
params = _parse_key_value(args.param)
settings = _parse_key_value(args.setting)
params = _normalize_special_params(args.dbms, params)
workdir = os.getcwd()
db_dir = os.path.join(workdir, args.db_dir)
data_dir = os.path.join(workdir, args.data_dir)
benchmark_map = benchmarks()
benchmark_description = benchmark_map[args.benchmark]
benchmark = benchmark_description.instantiate(data_dir, vars(args))
dbms_descriptions = database_systems()
dbms_description = dbms_descriptions[args.dbms]
queries, _ = benchmark.queries(args.dbms)
print(f"Preparing benchmark data for {benchmark.fullname}...")
benchmark.dbgen()
config = ReplConfig(
repeats=args.repeats,
fetch_result=args.fetch_result,
timeout=args.timeout,
fetch_result_limit=args.fetch_result_limit,
)
os.makedirs(db_dir, exist_ok=True)
os.makedirs(data_dir, exist_ok=True)
with dbms_description.instantiate(benchmark, db_dir, data_dir, params, settings) as dbms:
print("Loading database...")
dbms.load_database()
print("Connected.")
print(f"Benchmark: {benchmark.description}")
print(f"DBMS: {args.dbms}")
print(f"Loaded benchmark queries: {len(queries)}")
if args.benchmark_query is not None:
name, query = _get_benchmark_query(queries, args.benchmark_query)
_execute_query(dbms, name, query, config)
if args.query is not None:
_execute_query(dbms, "ad_hoc", args.query, config)
if args.no_repl:
return
_print_help()
_print_config(config)
while True:
line = input("sql> ").strip()
if not line:
continue
if line.startswith("\\"):
parts = line.split(maxsplit=1)
command = parts[0]
value = parts[1] if len(parts) > 1 else None
if command in {"\\quit", "\\exit"}:
break
if command == "\\help":
_print_help()
continue
if command == "\\list":
for i, (name, _) in enumerate(queries, start=1):
print(f"{i:>3}: {name}")
continue
if command == "\\run":
if value is None:
print("Usage: \\run <index|name>")
continue
try:
name, query = _get_benchmark_query(queries, value)
_execute_query(dbms, name, query, config)
except Exception as e:
print(f"Error: {e}")
continue
if command == "\\explain":
if value is None:
print("Usage: \\explain <sql|\\run <index|name>>")
continue
try:
name, query = _resolve_explain_input(value, queries)
_explain_query(dbms, name, query, config.timeout)
except Exception as e:
print(f"Error: {e}")
continue
if command == "\\repeat":
if value is None:
print("Usage: \\repeat <n>")
continue
config.repeats = max(1, int(value))
_print_config(config)
continue
if command == "\\fetch":
if value not in {"on", "off"}:
print("Usage: \\fetch <on|off>")
continue
config.fetch_result = value == "on"
_print_config(config)
continue
if command == "\\timeout":
if value is None:
print("Usage: \\timeout <seconds>")
continue
config.timeout = max(0, int(value))
_print_config(config)
continue
if command == "\\limit":
if value is None:
print("Usage: \\limit <n>")
continue
config.fetch_result_limit = max(0, int(value))
_print_config(config)
continue
if command == "\\config":
_print_config(config)
continue
print(f"Unknown command: {command}. Try \\help")
continue
sql_lines = [line]
while not sql_lines[-1].rstrip().endswith(";"):
sql_lines.append(input("... "))
query_text = "\n".join(sql_lines)
try:
_execute_query(dbms, "ad_hoc", query_text, config)
except Exception as e:
print(f"Error: {e}")
if __name__ == "__main__":
main()