mirror of
https://github.com/apache/superset.git
synced 2026-04-18 15:44:57 +00:00
95291facff
* Refactor db_engine_specs into package * Rename bigquery class and add epoch funcs * Fix flake8 errors * Dynamically load all engine specs * Fix linting errors and unit tests * Implement Snowflake epoch time funcs * Implement Teradata epoch time func * Fix presto datasource query and remove unused import * Fix broken datasource query * Add mypy ignore for false positive * Add missing license files * Make create_time_grains_tuple public * Fix flake8 quote * Fix incorrect licence header
509 lines
19 KiB
Python
509 lines
19 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# pylint: disable=C,R,W
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from collections import namedtuple
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import hashlib
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import os
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import re
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from typing import Dict, List, Optional, Tuple
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from flask import g
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from flask_babel import lazy_gettext as _
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import pandas as pd
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from sqlalchemy import column, DateTime, select
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from sqlalchemy.engine import create_engine
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from sqlalchemy.engine.reflection import Inspector
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from sqlalchemy.ext.compiler import compiles
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from sqlalchemy.sql import quoted_name, text
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from sqlalchemy.sql.expression import ColumnClause
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from sqlalchemy.sql.expression import TextAsFrom
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import sqlparse
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from werkzeug.utils import secure_filename
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from superset import app, db, sql_parse
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from superset.utils import core as utils
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Grain = namedtuple('Grain', 'name label function duration')
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config = app.config
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QueryStatus = utils.QueryStatus
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config = app.config
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builtin_time_grains = {
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None: 'Time Column',
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'PT1S': 'second',
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'PT1M': 'minute',
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'PT5M': '5 minute',
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'PT10M': '10 minute',
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'PT15M': '15 minute',
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'PT0.5H': 'half hour',
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'PT1H': 'hour',
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'P1D': 'day',
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'P1W': 'week',
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'P1M': 'month',
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'P0.25Y': 'quarter',
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'P1Y': 'year',
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'1969-12-28T00:00:00Z/P1W': 'week_start_sunday',
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'1969-12-29T00:00:00Z/P1W': 'week_start_monday',
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'P1W/1970-01-03T00:00:00Z': 'week_ending_saturday',
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'P1W/1970-01-04T00:00:00Z': 'week_ending_sunday',
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}
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class TimestampExpression(ColumnClause):
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def __init__(self, expr: str, col: ColumnClause, **kwargs):
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"""Sqlalchemy class that can be can be used to render native column elements
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respeting engine-specific quoting rules as part of a string-based expression.
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:param expr: Sql expression with '{col}' denoting the locations where the col
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object will be rendered.
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:param col: the target column
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"""
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super().__init__(expr, **kwargs)
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self.col = col
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@compiles(TimestampExpression)
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def compile_timegrain_expression(element: TimestampExpression, compiler, **kw):
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return element.name.replace('{col}', compiler.process(element.col, **kw))
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class LimitMethod(object):
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"""Enum the ways that limits can be applied"""
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FETCH_MANY = 'fetch_many'
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WRAP_SQL = 'wrap_sql'
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FORCE_LIMIT = 'force_limit'
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def create_time_grains_tuple(time_grains, time_grain_functions, blacklist):
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ret_list = []
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blacklist = blacklist if blacklist else []
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for duration, func in time_grain_functions.items():
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if duration not in blacklist:
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name = time_grains.get(duration)
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ret_list.append(Grain(name, _(name), func, duration))
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return tuple(ret_list)
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class BaseEngineSpec(object):
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"""Abstract class for database engine specific configurations"""
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engine = 'base' # str as defined in sqlalchemy.engine.engine
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time_grain_functions: Dict[Optional[str], str] = {}
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time_groupby_inline = False
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limit_method = LimitMethod.FORCE_LIMIT
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time_secondary_columns = False
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inner_joins = True
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allows_subquery = True
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supports_column_aliases = True
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force_column_alias_quotes = False
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arraysize = 0
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max_column_name_length = 0
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try_remove_schema_from_table_name = True
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@classmethod
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def get_timestamp_expr(cls, col: ColumnClause, pdf: Optional[str],
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time_grain: Optional[str]) -> TimestampExpression:
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"""
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Construct a TimeExpression to be used in a SQLAlchemy query.
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:param col: Target column for the TimeExpression
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:param pdf: date format (seconds or milliseconds)
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:param time_grain: time grain, e.g. P1Y for 1 year
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:return: TimestampExpression object
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"""
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if time_grain:
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time_expr = cls.time_grain_functions.get(time_grain)
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if not time_expr:
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raise NotImplementedError(
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f'No grain spec for {time_grain} for database {cls.engine}')
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else:
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time_expr = '{col}'
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# if epoch, translate to DATE using db specific conf
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if pdf == 'epoch_s':
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time_expr = time_expr.replace('{col}', cls.epoch_to_dttm())
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elif pdf == 'epoch_ms':
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time_expr = time_expr.replace('{col}', cls.epoch_ms_to_dttm())
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return TimestampExpression(time_expr, col, type_=DateTime)
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@classmethod
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def get_time_grains(cls):
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blacklist = config.get('TIME_GRAIN_BLACKLIST', [])
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grains = builtin_time_grains.copy()
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grains.update(config.get('TIME_GRAIN_ADDONS', {}))
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grain_functions = cls.time_grain_functions.copy()
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grain_addon_functions = config.get('TIME_GRAIN_ADDON_FUNCTIONS', {})
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grain_functions.update(grain_addon_functions.get(cls.engine, {}))
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return create_time_grains_tuple(grains, grain_functions, blacklist)
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@classmethod
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def make_select_compatible(cls, groupby_exprs, select_exprs):
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# Some databases will just return the group-by field into the select, but don't
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# allow the group-by field to be put into the select list.
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return select_exprs
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@classmethod
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def fetch_data(cls, cursor, limit):
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if cls.arraysize:
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cursor.arraysize = cls.arraysize
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if cls.limit_method == LimitMethod.FETCH_MANY:
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return cursor.fetchmany(limit)
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return cursor.fetchall()
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@classmethod
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def expand_data(cls,
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columns: List[dict],
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data: List[dict]) -> Tuple[List[dict], List[dict], List[dict]]:
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return columns, data, []
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@classmethod
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def alter_new_orm_column(cls, orm_col):
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"""Allow altering default column attributes when first detected/added
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For instance special column like `__time` for Druid can be
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set to is_dttm=True. Note that this only gets called when new
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columns are detected/created"""
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pass
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@classmethod
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def epoch_to_dttm(cls):
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raise NotImplementedError()
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@classmethod
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def epoch_ms_to_dttm(cls):
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return cls.epoch_to_dttm().replace('{col}', '({col}/1000)')
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@classmethod
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def get_datatype(cls, type_code):
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if isinstance(type_code, str) and len(type_code):
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return type_code.upper()
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@classmethod
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def extra_table_metadata(cls, database, table_name, schema_name):
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"""Returns engine-specific table metadata"""
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return {}
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@classmethod
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def apply_limit_to_sql(cls, sql, limit, database):
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"""Alters the SQL statement to apply a LIMIT clause"""
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if cls.limit_method == LimitMethod.WRAP_SQL:
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sql = sql.strip('\t\n ;')
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qry = (
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select('*')
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.select_from(
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TextAsFrom(text(sql), ['*']).alias('inner_qry'),
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)
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.limit(limit)
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)
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return database.compile_sqla_query(qry)
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elif LimitMethod.FORCE_LIMIT:
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parsed_query = sql_parse.ParsedQuery(sql)
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sql = parsed_query.get_query_with_new_limit(limit)
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return sql
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@classmethod
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def get_limit_from_sql(cls, sql):
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parsed_query = sql_parse.ParsedQuery(sql)
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return parsed_query.limit
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@classmethod
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def get_query_with_new_limit(cls, sql, limit):
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parsed_query = sql_parse.ParsedQuery(sql)
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return parsed_query.get_query_with_new_limit(limit)
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@staticmethod
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def csv_to_df(**kwargs):
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kwargs['filepath_or_buffer'] = \
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config['UPLOAD_FOLDER'] + kwargs['filepath_or_buffer']
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kwargs['encoding'] = 'utf-8'
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kwargs['iterator'] = True
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chunks = pd.read_csv(**kwargs)
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df = pd.DataFrame()
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df = pd.concat(chunk for chunk in chunks)
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return df
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@staticmethod
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def df_to_db(df, table, **kwargs):
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df.to_sql(**kwargs)
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table.user_id = g.user.id
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table.schema = kwargs['schema']
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table.fetch_metadata()
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db.session.add(table)
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db.session.commit()
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@staticmethod
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def create_table_from_csv(form, table):
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def _allowed_file(filename):
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# Only allow specific file extensions as specified in the config
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extension = os.path.splitext(filename)[1]
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return extension and extension[1:] in config['ALLOWED_EXTENSIONS']
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filename = secure_filename(form.csv_file.data.filename)
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if not _allowed_file(filename):
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raise Exception('Invalid file type selected')
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kwargs = {
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'filepath_or_buffer': filename,
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'sep': form.sep.data,
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'header': form.header.data if form.header.data else 0,
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'index_col': form.index_col.data,
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'mangle_dupe_cols': form.mangle_dupe_cols.data,
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'skipinitialspace': form.skipinitialspace.data,
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'skiprows': form.skiprows.data,
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'nrows': form.nrows.data,
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'skip_blank_lines': form.skip_blank_lines.data,
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'parse_dates': form.parse_dates.data,
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'infer_datetime_format': form.infer_datetime_format.data,
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'chunksize': 10000,
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}
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df = BaseEngineSpec.csv_to_df(**kwargs)
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df_to_db_kwargs = {
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'table': table,
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'df': df,
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'name': form.name.data,
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'con': create_engine(form.con.data.sqlalchemy_uri_decrypted, echo=False),
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'schema': form.schema.data,
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'if_exists': form.if_exists.data,
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'index': form.index.data,
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'index_label': form.index_label.data,
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'chunksize': 10000,
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}
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BaseEngineSpec.df_to_db(**df_to_db_kwargs)
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@classmethod
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def convert_dttm(cls, target_type, dttm):
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return "'{}'".format(dttm.strftime('%Y-%m-%d %H:%M:%S'))
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@classmethod
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def get_all_datasource_names(cls, db, datasource_type: str) \
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-> List[utils.DatasourceName]:
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"""Returns a list of all tables or views in database.
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:param db: Database instance
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:param datasource_type: Datasource_type can be 'table' or 'view'
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:return: List of all datasources in database or schema
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"""
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schemas = db.get_all_schema_names(cache=db.schema_cache_enabled,
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cache_timeout=db.schema_cache_timeout,
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force=True)
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all_datasources: List[utils.DatasourceName] = []
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for schema in schemas:
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if datasource_type == 'table':
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all_datasources += db.get_all_table_names_in_schema(
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schema=schema, force=True,
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cache=db.table_cache_enabled,
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cache_timeout=db.table_cache_timeout)
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elif datasource_type == 'view':
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all_datasources += db.get_all_view_names_in_schema(
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schema=schema, force=True,
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cache=db.table_cache_enabled,
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cache_timeout=db.table_cache_timeout)
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else:
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raise Exception(f'Unsupported datasource_type: {datasource_type}')
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return all_datasources
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@classmethod
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def handle_cursor(cls, cursor, query, session):
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"""Handle a live cursor between the execute and fetchall calls
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The flow works without this method doing anything, but it allows
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for handling the cursor and updating progress information in the
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query object"""
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pass
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@classmethod
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def extract_error_message(cls, e):
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"""Extract error message for queries"""
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return utils.error_msg_from_exception(e)
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@classmethod
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def adjust_database_uri(cls, uri, selected_schema):
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"""Based on a URI and selected schema, return a new URI
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The URI here represents the URI as entered when saving the database,
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``selected_schema`` is the schema currently active presumably in
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the SQL Lab dropdown. Based on that, for some database engine,
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we can return a new altered URI that connects straight to the
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active schema, meaning the users won't have to prefix the object
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names by the schema name.
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Some databases engines have 2 level of namespacing: database and
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schema (postgres, oracle, mssql, ...)
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For those it's probably better to not alter the database
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component of the URI with the schema name, it won't work.
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Some database drivers like presto accept '{catalog}/{schema}' in
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the database component of the URL, that can be handled here.
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"""
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return uri
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@classmethod
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def patch(cls):
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pass
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@classmethod
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def get_schema_names(cls, inspector):
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return sorted(inspector.get_schema_names())
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@classmethod
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def get_table_names(cls, inspector, schema):
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tables = inspector.get_table_names(schema)
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if schema and cls.try_remove_schema_from_table_name:
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tables = [re.sub(f'^{schema}\\.', '', table) for table in tables]
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return sorted(tables)
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@classmethod
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def get_view_names(cls, inspector, schema):
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views = inspector.get_view_names(schema)
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if schema and cls.try_remove_schema_from_table_name:
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views = [re.sub(f'^{schema}\\.', '', view) for view in views]
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return sorted(views)
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@classmethod
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def get_columns(cls, inspector: Inspector, table_name: str, schema: str) -> list:
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return inspector.get_columns(table_name, schema)
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@classmethod
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def where_latest_partition(
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cls, table_name, schema, database, qry, columns=None):
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return False
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@classmethod
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def _get_fields(cls, cols):
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return [column(c.get('name')) for c in cols]
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@classmethod
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def select_star(cls, my_db, table_name, engine, schema=None, limit=100,
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show_cols=False, indent=True, latest_partition=True,
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cols=None):
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fields = '*'
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cols = cols or []
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if (show_cols or latest_partition) and not cols:
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cols = my_db.get_columns(table_name, schema)
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if show_cols:
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fields = cls._get_fields(cols)
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quote = engine.dialect.identifier_preparer.quote
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if schema:
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full_table_name = quote(schema) + '.' + quote(table_name)
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else:
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full_table_name = quote(table_name)
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qry = select(fields).select_from(text(full_table_name))
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if limit:
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qry = qry.limit(limit)
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if latest_partition:
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partition_query = cls.where_latest_partition(
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table_name, schema, my_db, qry, columns=cols)
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if partition_query != False: # noqa
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qry = partition_query
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sql = my_db.compile_sqla_query(qry)
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if indent:
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sql = sqlparse.format(sql, reindent=True)
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return sql
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@classmethod
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def modify_url_for_impersonation(cls, url, impersonate_user, username):
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"""
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Modify the SQL Alchemy URL object with the user to impersonate if applicable.
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:param url: SQLAlchemy URL object
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:param impersonate_user: Bool indicating if impersonation is enabled
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:param username: Effective username
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"""
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if impersonate_user is not None and username is not None:
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url.username = username
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@classmethod
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def get_configuration_for_impersonation(cls, uri, impersonate_user, username):
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"""
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Return a configuration dictionary that can be merged with other configs
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that can set the correct properties for impersonating users
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:param uri: URI string
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:param impersonate_user: Bool indicating if impersonation is enabled
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:param username: Effective username
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:return: Dictionary with configs required for impersonation
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"""
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return {}
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@classmethod
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def execute(cls, cursor, query, **kwargs):
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if cls.arraysize:
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cursor.arraysize = cls.arraysize
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cursor.execute(query)
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@classmethod
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def make_label_compatible(cls, label):
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"""
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Conditionally mutate and/or quote a sql column/expression label. If
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force_column_alias_quotes is set to True, return the label as a
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sqlalchemy.sql.elements.quoted_name object to ensure that the select query
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and query results have same case. Otherwise return the mutated label as a
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regular string. If maxmimum supported column name length is exceeded,
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generate a truncated label by calling truncate_label().
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"""
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label_mutated = cls.mutate_label(label)
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if cls.max_column_name_length and len(label_mutated) > cls.max_column_name_length:
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label_mutated = cls.truncate_label(label)
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if cls.force_column_alias_quotes:
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label_mutated = quoted_name(label_mutated, True)
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return label_mutated
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@classmethod
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def get_sqla_column_type(cls, type_):
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"""
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Return a sqlalchemy native column type that corresponds to the column type
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defined in the data source (optional). Needs to be overridden if column requires
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special handling (see MSSQL for example of NCHAR/NVARCHAR handling).
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"""
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return None
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@staticmethod
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def mutate_label(label):
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"""
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Most engines support mixed case aliases that can include numbers
|
|
and special characters, like commas, parentheses etc. For engines that
|
|
have restrictions on what types of aliases are supported, this method
|
|
can be overridden to ensure that labels conform to the engine's
|
|
limitations. Mutated labels should be deterministic (input label A always
|
|
yields output label X) and unique (input labels A and B don't yield the same
|
|
output label X).
|
|
"""
|
|
return label
|
|
|
|
@classmethod
|
|
def truncate_label(cls, label):
|
|
"""
|
|
In the case that a label exceeds the max length supported by the engine,
|
|
this method is used to construct a deterministic and unique label based on
|
|
an md5 hash.
|
|
"""
|
|
label = hashlib.md5(label.encode('utf-8')).hexdigest()
|
|
# truncate hash if it exceeds max length
|
|
if cls.max_column_name_length and len(label) > cls.max_column_name_length:
|
|
label = label[:cls.max_column_name_length]
|
|
return label
|
|
|
|
@classmethod
|
|
def column_datatype_to_string(cls, sqla_column_type, dialect):
|
|
return sqla_column_type.compile(dialect=dialect).upper()
|