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from typing import List
from data_diff.abcs.database_types import (
DbPath,
JSON,
Timestamp,
TimestampTZ,
Float,
Decimal,
Integer,
TemporalType,
Native_UUID,
Text,
FractionalType,
Boolean,
Date,
)
from data_diff.abcs.mixins import AbstractMixin_MD5, AbstractMixin_NormalizeValue
from data_diff.databases.base import BaseDialect, ThreadedDatabase, import_helper, ConnectError, Mixin_Schema
from data_diff.databases.base import (
MD5_HEXDIGITS,
CHECKSUM_HEXDIGITS,
_CHECKSUM_BITSIZE,
TIMESTAMP_PRECISION_POS,
Mixin_RandomSample,
)
SESSION_TIME_ZONE = None # Changed by the tests
@import_helper("postgresql")
def import_postgresql():
import psycopg2.extras
psycopg2.extensions.set_wait_callback(psycopg2.extras.wait_select)
return psycopg2
class Mixin_MD5(AbstractMixin_MD5):
def md5_as_int(self, s: str) -> str:
return f"('x' || substring(md5({s}), {1+MD5_HEXDIGITS-CHECKSUM_HEXDIGITS}))::bit({_CHECKSUM_BITSIZE})::bigint"
class Mixin_NormalizeValue(AbstractMixin_NormalizeValue):
def normalize_timestamp(self, value: str, coltype: TemporalType) -> str:
if coltype.rounds:
return f"to_char({value}::timestamp({coltype.precision}), 'YYYY-mm-dd HH24:MI:SS.US')"
timestamp6 = f"to_char({value}::timestamp(6), 'YYYY-mm-dd HH24:MI:SS.US')"
return (
f"RPAD(LEFT({timestamp6}, {TIMESTAMP_PRECISION_POS+coltype.precision}), {TIMESTAMP_PRECISION_POS+6}, '0')"
)
def normalize_number(self, value: str, coltype: FractionalType) -> str:
return self.to_string(f"{value}::decimal(38, {coltype.precision})")
def normalize_boolean(self, value: str, _coltype: Boolean) -> str:
return self.to_string(f"{value}::int")
def normalize_json(self, value: str, _coltype: JSON) -> str:
return f"{value}::text"
class PostgresqlDialect(
BaseDialect, Mixin_Schema, Mixin_MD5, Mixin_NormalizeValue, AbstractMixin_MD5, AbstractMixin_NormalizeValue
):
name = "PostgreSQL"
ROUNDS_ON_PREC_LOSS = True
SUPPORTS_PRIMARY_KEY = True
SUPPORTS_INDEXES = True
TYPE_CLASSES = {
# Timestamps
"timestamp with time zone": TimestampTZ,
"timestamp without time zone": Timestamp,
"timestamp": Timestamp,
"date": Date,
# Numbers
"double precision": Float,
"real": Float,
"decimal": Decimal,
"smallint": Integer,
"integer": Integer,
"numeric": Decimal,
"bigint": Integer,
# Text
"character": Text,
"character varying": Text,
"varchar": Text,
"text": Text,
"json": JSON,
"jsonb": JSON,
"uuid": Native_UUID,
"boolean": Boolean,
}
def quote(self, s: str):
return f'"{s}"'
def to_string(self, s: str):
return f"{s}::varchar"
def concat(self, items: List[str]) -> str:
joined_exprs = " || ".join(items)
return f"({joined_exprs})"
def _convert_db_precision_to_digits(self, p: int) -> int:
# Subtracting 2 due to wierd precision issues in PostgreSQL
return super()._convert_db_precision_to_digits(p) - 2
def set_timezone_to_utc(self) -> str:
return "SET TIME ZONE 'UTC'"
def current_timestamp(self) -> str:
return "current_timestamp"
def type_repr(self, t) -> str:
if isinstance(t, TimestampTZ):
return f"timestamp ({t.precision}) with time zone"
return super().type_repr(t)
class PostgreSQL(ThreadedDatabase):
dialect = PostgresqlDialect()
SUPPORTS_UNIQUE_CONSTAINT = True
CONNECT_URI_HELP = "postgresql://<user>:<password>@<host>/<database>"
CONNECT_URI_PARAMS = ["database?"]
default_schema = "public"
def __init__(self, *, thread_count, **kw):
self._args = kw
super().__init__(thread_count=thread_count)
def create_connection(self):
if not self._args:
self._args["host"] = None # psycopg2 requires 1+ arguments
pg = import_postgresql()
try:
c = pg.connect(**self._args)
if SESSION_TIME_ZONE:
c.cursor().execute(f"SET TIME ZONE '{SESSION_TIME_ZONE}'")
return c
except pg.OperationalError as e:
raise ConnectError(*e.args) from e
def select_table_schema(self, path: DbPath) -> str:
database, schema, table = self._normalize_table_path(path)
info_schema_path = ["information_schema", "columns"]
if database:
info_schema_path.insert(0, database)
return (
f"SELECT column_name, data_type, datetime_precision, numeric_precision, numeric_scale FROM {'.'.join(info_schema_path)} "
f"WHERE table_name = '{table}' AND table_schema = '{schema}'"
)
def select_table_unique_columns(self, path: DbPath) -> str:
database, schema, table = self._normalize_table_path(path)
info_schema_path = ["information_schema", "key_column_usage"]
if database:
info_schema_path.insert(0, database)
return (
"SELECT column_name "
f"FROM {'.'.join(info_schema_path)} "
f"WHERE table_name = '{table}' AND table_schema = '{schema}'"
)
def _normalize_table_path(self, path: DbPath) -> DbPath:
if len(path) == 1:
return None, self.default_schema, path[0]
elif len(path) == 2:
return None, path[0], path[1]
elif len(path) == 3:
return path
raise ValueError(
f"{self.name}: Bad table path for {self}: '{'.'.join(path)}'. Expected format: table, schema.table, or database.schema.table"
)