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vertica.py
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from typing import List
from ..utils import match_regexps
from .base import (
CHECKSUM_HEXDIGITS,
MD5_HEXDIGITS,
TIMESTAMP_PRECISION_POS,
BaseDialect,
ConnectError,
DbPath,
ColType,
ColType_UUID,
ThreadedDatabase,
import_helper,
)
from .database_types import (
Decimal,
Float,
FractionalType,
Integer,
TemporalType,
Text,
Timestamp,
TimestampTZ,
)
@import_helper("vertica")
def import_vertica():
import vertica_python
return vertica_python
class Dialect(BaseDialect):
name = "Vertica"
ROUNDS_ON_PREC_LOSS = True
TYPE_CLASSES = {
# Timestamps
"timestamp": Timestamp,
"timestamptz": TimestampTZ,
# Numbers
"numeric": Decimal,
"int": Integer,
"float": Float,
# Text
"char": Text,
"varchar": Text,
}
def quote(self, s: str):
return f'"{s}"'
def concat(self, items: List[str]) -> str:
return " || ".join(items)
def md5_as_int(self, s: str) -> str:
return f"CAST(HEX_TO_INTEGER(SUBSTRING(MD5({s}), {1 + MD5_HEXDIGITS - CHECKSUM_HEXDIGITS})) AS NUMERIC(38, 0))"
def to_string(self, s: str) -> str:
return f"CAST({s} AS VARCHAR)"
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"CAST({value} AS NUMERIC(38, {coltype.precision}))")
def normalize_uuid(self, value: str, coltype: ColType_UUID) -> str:
# Trim doesn't work on CHAR type
return f"TRIM(CAST({value} AS VARCHAR))"
def is_distinct_from(self, a: str, b: str) -> str:
return f"not ({a} <=> {b})"
def parse_type(
self,
table_path: DbPath,
col_name: str,
type_repr: str,
datetime_precision: int = None,
numeric_precision: int = None,
numeric_scale: int = None,
) -> ColType:
timestamp_regexps = {
r"timestamp\(?(\d?)\)?": Timestamp,
r"timestamptz\(?(\d?)\)?": TimestampTZ,
}
for m, t_cls in match_regexps(timestamp_regexps, type_repr):
precision = int(m.group(1)) if m.group(1) else 6
return t_cls(precision=precision, rounds=self.ROUNDS_ON_PREC_LOSS)
number_regexps = {
r"numeric\((\d+),(\d+)\)": Decimal,
}
for m, n_cls in match_regexps(number_regexps, type_repr):
_prec, scale = map(int, m.groups())
return n_cls(scale)
string_regexps = {
r"varchar\((\d+)\)": Text,
r"char\((\d+)\)": Text,
}
for m, n_cls in match_regexps(string_regexps, type_repr):
return n_cls()
return super().parse_type(table_path, col_name, type_repr, datetime_precision, numeric_precision)
class Vertica(ThreadedDatabase):
dialect = Dialect()
default_schema = "public"
def __init__(self, *, thread_count, **kw):
self._args = kw
self._args["AUTOCOMMIT"] = False
super().__init__(thread_count=thread_count)
def create_connection(self):
vertica = import_vertica()
try:
c = vertica.connect(**self._args)
return c
except vertica.errors.ConnectionError as e:
raise ConnectError(*e.args) from e
def select_table_schema(self, path: DbPath) -> str:
schema, table = self._normalize_table_path(path)
return (
"SELECT column_name, data_type, datetime_precision, numeric_precision, numeric_scale "
"FROM V_CATALOG.COLUMNS "
f"WHERE table_name = '{table}' AND table_schema = '{schema}'"
)