1082 lines
42 KiB
Python
1082 lines
42 KiB
Python
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# pylint: disable=C0302
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"""
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This module provides SQL query parsing functions
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"""
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import logging
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import re
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from typing import Dict, List, Optional, Set, Tuple, Union
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import sqlparse
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from sqlparse.sql import Token
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from sqlparse.tokens import Name, Number, Whitespace
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from sql_metadata.generalizator import Generalizator
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from sql_metadata.keywords_lists import (
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COLUMNS_SECTIONS,
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KEYWORDS_BEFORE_COLUMNS,
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TokenType,
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RELEVANT_KEYWORDS,
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SUBQUERY_PRECEDING_KEYWORDS,
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SUPPORTED_QUERY_TYPES,
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TABLE_ADJUSTMENT_KEYWORDS,
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WITH_ENDING_KEYWORDS,
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)
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from sql_metadata.token import EmptyToken, SQLToken
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from sql_metadata.utils import UniqueList, flatten_list
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class Parser: # pylint: disable=R0902
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"""
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Main class to parse sql query
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"""
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def __init__(self, sql: str = "", disable_logging: bool = False) -> None:
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self._logger = logging.getLogger(self.__class__.__name__)
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self._logger.disabled = disable_logging
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self._raw_query = sql
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self._query = self._preprocess_query()
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self._query_type = None
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self._tokens = None
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self._columns = None
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self._columns_dict = None
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self._columns_aliases_names = None
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self._columns_aliases = None
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self._columns_with_tables_aliases = {}
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self._columns_aliases_dict = None
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self._tables = None
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self._table_aliases = None
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self._with_names = None
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self._with_queries = None
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self._with_queries_columns = None
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self._subqueries = None
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self._subqueries_names = None
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self._subqueries_parsers = {}
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self._with_parsers = {}
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self._limit_and_offset = None
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self._values = None
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self._values_dict = None
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self._subquery_level = 0
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self._nested_level = 0
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self._parenthesis_level = 0
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self._open_parentheses: List[SQLToken] = []
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self._preceded_keywords: List[SQLToken] = []
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self._aliases_to_check = None
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self._is_in_nested_function = False
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self._is_in_with_block = False
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self._with_columns_candidates = {}
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self._column_aliases_max_subquery_level = {}
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self.sqlparse_tokens = None
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self.non_empty_tokens = None
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self.tokens_length = None
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@property
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def query(self) -> str:
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"""
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Returns preprocessed query
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"""
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return self._query.replace("\n", " ").replace(" ", " ")
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@property
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def query_type(self) -> str:
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"""
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Returns type of the query.
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Currently supported queries are:
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select, insert, update, replace, create table, alter table, with + select
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"""
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if self._query_type:
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return self._query_type
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if not self._tokens:
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_ = self.tokens
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# remove comment tokens to not confuse the logic below (see #163)
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tokens: List[SQLToken] = list(
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filter(lambda token: not token.is_comment, self._tokens or [])
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)
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if not tokens:
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raise ValueError("Empty queries are not supported!")
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index = (
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0
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if not tokens[0].is_left_parenthesis
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else tokens[0]
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.find_nearest_token(
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value=False, value_attribute="is_left_parenthesis", direction="right"
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)
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.position
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)
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if tokens[index].normalized in ["CREATE", "ALTER", "DROP"]:
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switch = tokens[index].normalized + tokens[index + 1].normalized
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else:
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switch = tokens[index].normalized
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self._query_type = SUPPORTED_QUERY_TYPES.get(switch, "UNSUPPORTED")
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if self._query_type == "UNSUPPORTED":
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self._logger.error("Not supported query type: %s", self._raw_query)
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raise ValueError("Not supported query type!")
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return self._query_type
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@property
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def tokens(self) -> List[SQLToken]: # noqa: C901
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"""
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Tokenizes the query
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"""
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if self._tokens is not None:
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return self._tokens
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parsed = sqlparse.parse(self._query)
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tokens = []
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# handle empty queries (#12)
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if not parsed:
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return tokens
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self._get_sqlparse_tokens(parsed)
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last_keyword = None
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combine_flag = False
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for index, tok in enumerate(self.non_empty_tokens):
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# combine dot separated identifiers
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if self._is_token_part_of_complex_identifier(token=tok, index=index):
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combine_flag = True
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continue
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token = SQLToken(
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tok=tok,
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index=index,
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subquery_level=self._subquery_level,
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last_keyword=last_keyword,
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)
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if combine_flag:
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self._combine_qualified_names(index=index, token=token)
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combine_flag = False
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previous_token = tokens[-1] if index > 0 else EmptyToken
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token.previous_token = previous_token
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previous_token.next_token = token if index > 0 else None
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if token.is_left_parenthesis:
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token.token_type = TokenType.PARENTHESIS
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self._determine_opening_parenthesis_type(token=token)
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elif token.is_right_parenthesis:
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token.token_type = TokenType.PARENTHESIS
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self._determine_closing_parenthesis_type(token=token)
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if token.is_subquery_end:
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last_keyword = self._preceded_keywords.pop()
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last_keyword = self._determine_last_relevant_keyword(
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token=token, last_keyword=last_keyword
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)
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token.is_in_nested_function = self._is_in_nested_function
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token.parenthesis_level = self._parenthesis_level
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tokens.append(token)
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self._tokens = tokens
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# since tokens are used in all methods required parsing (so w/o generalization)
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# we set the query type here (and not in init) to allow for generalization
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# but disallow any other usage for not supported queries to avoid unexpected
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# results which are not really an error
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_ = self.query_type
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return tokens
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@property
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def columns(self) -> List[str]:
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"""
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Returns the list columns this query refers to
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"""
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if self._columns is not None:
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return self._columns
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columns = UniqueList()
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for token in self._not_parsed_tokens:
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if token.is_name or token.is_keyword_column_name:
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if token.is_column_definition_inside_create_table(
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query_type=self.query_type
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):
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token.token_type = TokenType.COLUMN
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columns.append(token.value)
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elif (
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token.is_potential_column_name
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and token.is_not_an_alias_or_is_self_alias_outside_of_subquery(
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columns_aliases_names=self.columns_aliases_names,
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max_subquery_level=self._column_aliases_max_subquery_level,
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)
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and not token.is_sub_query_name_or_with_name_or_function_name(
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sub_queries_names=self.subqueries_names,
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with_names=self.with_names,
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)
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and not token.is_table_definition_suffix_in_non_select_create_table(
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query_type=self.query_type
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)
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and not token.is_conversion_specifier
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):
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self._handle_column_save(token=token, columns=columns)
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elif token.is_column_name_inside_insert_clause:
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column = str(token.value).strip("`")
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self._add_to_columns_subsection(
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keyword=token.last_keyword_normalized, column=column
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)
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token.token_type = TokenType.COLUMN
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columns.append(column)
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elif token.is_a_wildcard_in_select_statement:
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self._handle_column_save(token=token, columns=columns)
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self._columns = columns
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return self._columns
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@property
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def columns_dict(self) -> Dict[str, List[str]]:
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"""
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Returns dictionary of column names divided into section of the query in which
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given column is present.
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Sections consist of: select, where, order_by, group_by, join, insert and update
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"""
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if not self._columns_dict:
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_ = self.columns
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if self.columns_aliases_dict:
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for key, value in self.columns_aliases_dict.items():
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for alias in value:
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resolved = self._resolve_column_alias(alias)
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if isinstance(resolved, list):
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for res_alias in resolved:
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self._columns_dict.setdefault(key, UniqueList()).append(
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res_alias
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)
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else:
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self._columns_dict.setdefault(key, UniqueList()).append(
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resolved
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)
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return self._columns_dict
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@property
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def columns_aliases(self) -> Dict:
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"""
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Returns a dictionary of column aliases with columns
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"""
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if self._columns_aliases is not None:
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return self._columns_aliases
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column_aliases = {}
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_ = self.columns
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self._aliases_to_check = (
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list(self._columns_with_tables_aliases.keys())
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+ self.columns_aliases_names
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+ ["*"]
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)
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for token in self.tokens:
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if token.is_potential_column_alias(
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column_aliases=column_aliases,
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columns_aliases_names=self.columns_aliases_names,
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):
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token_check = (
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token.previous_token
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if not token.previous_token.is_as_keyword
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else token.get_nth_previous(2)
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)
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if token_check.is_column_definition_end:
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alias_of = self._resolve_subquery_alias(token=token)
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elif token_check.is_partition_clause_end:
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start_token = token.find_nearest_token(
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True, value_attribute="is_partition_clause_start"
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)
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alias_of = self._find_all_columns_between_tokens(
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start_token=start_token, end_token=token
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)
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elif token.is_in_with_columns:
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# columns definition is to the right in subquery
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# we are in: with with_name (<aliases>) as (subquery)
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alias_of = self._find_column_for_with_column_alias(token)
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else:
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alias_of = self._resolve_function_alias(token=token)
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if token.value != alias_of:
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# skip aliases of self, like sum(column) as column
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column_aliases[token.value] = alias_of
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self._columns_aliases = column_aliases
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return self._columns_aliases
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@property
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def columns_aliases_dict(self) -> Dict[str, List[str]]:
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"""
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Returns dictionary of column names divided into section of the query in which
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given column is present.
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Sections consist of: select, where, order_by, group_by, join, insert and update
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"""
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if self._columns_aliases_dict:
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return self._columns_aliases_dict
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_ = self.columns_aliases_names
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return self._columns_aliases_dict
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@property
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def columns_aliases_names(self) -> List[str]:
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"""
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Extract names of the column aliases used in query
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"""
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if self._columns_aliases_names is not None:
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return self._columns_aliases_names
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column_aliases_names = UniqueList()
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with_names = self.with_names
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subqueries_names = self.subqueries_names
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for token in self._not_parsed_tokens:
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if token.is_potential_alias:
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if token.value in column_aliases_names:
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self._handle_column_alias_subquery_level_update(token=token)
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elif (
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token.is_a_valid_alias
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and token.value not in with_names + subqueries_names
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):
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column_aliases_names.append(token.value)
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self._handle_column_alias_subquery_level_update(token=token)
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self._columns_aliases_names = column_aliases_names
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return self._columns_aliases_names
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|
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|
@property
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||
|
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def tables(self) -> List[str]:
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|
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"""
|
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|
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Return the list of tables this query refers to
|
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"""
|
||
|
|
if self._tables is not None:
|
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return self._tables
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|
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tables = UniqueList()
|
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|
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with_names = self.with_names
|
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|
|
|
||
|
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for token in self._not_parsed_tokens:
|
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|
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if token.is_potential_table_name:
|
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|
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if (
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token.is_alias_of_table_or_alias_of_subquery
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or token.is_with_statement_nested_in_subquery
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or token.is_constraint_definition_inside_create_table_clause(
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query_type=self.query_type
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)
|
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or token.is_columns_alias_of_with_query_or_column_in_insert_query(
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with_names=with_names
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)
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):
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continue
|
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|
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|
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|
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# handle INSERT INTO ON DUPLICATE KEY UPDATE queries
|
||
|
|
if (
|
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|
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token.last_keyword_normalized == "UPDATE"
|
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|
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and self.query_type == "INSERT"
|
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):
|
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continue
|
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|
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|
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|
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table_name = str(token.value.strip("`"))
|
||
|
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token.token_type = TokenType.TABLE
|
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|
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tables.append(table_name)
|
||
|
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self._tables = tables - with_names
|
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|
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return self._tables
|
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|
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@property
|
||
|
|
def limit_and_offset(self) -> Optional[Tuple[int, int]]:
|
||
|
|
"""
|
||
|
|
Returns value for limit and offset if set
|
||
|
|
"""
|
||
|
|
if self._limit_and_offset is not None:
|
||
|
|
return self._limit_and_offset
|
||
|
|
limit = None
|
||
|
|
offset = None
|
||
|
|
|
||
|
|
for token in self._not_parsed_tokens:
|
||
|
|
if token.is_integer:
|
||
|
|
if token.last_keyword_normalized == "LIMIT" and not limit:
|
||
|
|
# LIMIT <limit>
|
||
|
|
limit = int(token.value)
|
||
|
|
elif token.last_keyword_normalized == "OFFSET":
|
||
|
|
# OFFSET <offset>
|
||
|
|
offset = int(token.value)
|
||
|
|
elif (
|
||
|
|
token.previous_token.is_punctuation
|
||
|
|
and token.last_keyword_normalized == "LIMIT"
|
||
|
|
):
|
||
|
|
# LIMIT <offset>,<limit>
|
||
|
|
# enter this condition only when the limit has already been parsed
|
||
|
|
offset = limit
|
||
|
|
limit = int(token.value)
|
||
|
|
|
||
|
|
if limit is None:
|
||
|
|
return None
|
||
|
|
|
||
|
|
self._limit_and_offset = limit, offset or 0
|
||
|
|
return self._limit_and_offset
|
||
|
|
|
||
|
|
@property
|
||
|
|
def tables_aliases(self) -> Dict[str, str]:
|
||
|
|
"""
|
||
|
|
Returns tables aliases mapping from a given query
|
||
|
|
|
||
|
|
E.g. SELECT a.* FROM users1 AS a JOIN users2 AS b ON a.ip_address = b.ip_address
|
||
|
|
will give you {'a': 'users1', 'b': 'users2'}
|
||
|
|
"""
|
||
|
|
if self._table_aliases is not None:
|
||
|
|
return self._table_aliases
|
||
|
|
aliases = {}
|
||
|
|
tables = self.tables
|
||
|
|
|
||
|
|
for token in self._not_parsed_tokens:
|
||
|
|
if (
|
||
|
|
token.last_keyword_normalized in TABLE_ADJUSTMENT_KEYWORDS
|
||
|
|
and (token.is_name or (token.is_keyword and not token.is_as_keyword))
|
||
|
|
and not token.next_token.is_as_keyword
|
||
|
|
):
|
||
|
|
if token.previous_token.is_as_keyword:
|
||
|
|
# potential <DB.<SCHEMA>.<TABLE> as <ALIAS>
|
||
|
|
potential_table_name = token.get_nth_previous(2).value
|
||
|
|
else:
|
||
|
|
# potential <DB.<SCHEMA>.<TABLE> <ALIAS>
|
||
|
|
potential_table_name = token.previous_token.value
|
||
|
|
|
||
|
|
if potential_table_name in tables:
|
||
|
|
token.token_type = TokenType.TABLE_ALIAS
|
||
|
|
aliases[token.value] = potential_table_name
|
||
|
|
|
||
|
|
self._table_aliases = aliases
|
||
|
|
return self._table_aliases
|
||
|
|
|
||
|
|
@property
|
||
|
|
def with_names(self) -> List[str]:
|
||
|
|
"""
|
||
|
|
Returns with statements aliases list from a given query
|
||
|
|
|
||
|
|
E.g. WITH database1.tableFromWith AS (SELECT * FROM table3)
|
||
|
|
SELECT "xxxxx" FROM database1.tableFromWith alias
|
||
|
|
LEFT JOIN database2.table2 ON ("tt"."ttt"."fff" = "xx"."xxx")
|
||
|
|
will return ["database1.tableFromWith"]
|
||
|
|
"""
|
||
|
|
if self._with_names is not None:
|
||
|
|
return self._with_names
|
||
|
|
with_names = UniqueList()
|
||
|
|
for token in self._not_parsed_tokens:
|
||
|
|
if token.previous_token.normalized == "WITH":
|
||
|
|
self._is_in_with_block = True
|
||
|
|
while self._is_in_with_block and token.next_token:
|
||
|
|
if token.next_token.is_as_keyword:
|
||
|
|
self._handle_with_name_save(token=token, with_names=with_names)
|
||
|
|
while token.next_token and not token.is_with_query_end:
|
||
|
|
token = token.next_token
|
||
|
|
is_end_of_with_block = (
|
||
|
|
token.next_token_not_comment is None
|
||
|
|
or token.next_token_not_comment.normalized
|
||
|
|
in WITH_ENDING_KEYWORDS
|
||
|
|
)
|
||
|
|
if is_end_of_with_block:
|
||
|
|
self._is_in_with_block = False
|
||
|
|
else:
|
||
|
|
token = token.next_token
|
||
|
|
|
||
|
|
self._with_names = with_names
|
||
|
|
return self._with_names
|
||
|
|
|
||
|
|
@property
|
||
|
|
def with_queries(self) -> Dict[str, str]:
|
||
|
|
"""
|
||
|
|
Returns "WITH" subqueries with names
|
||
|
|
|
||
|
|
E.g. WITH tableFromWith AS (SELECT * FROM table3)
|
||
|
|
SELECT "xxxxx" FROM database1.tableFromWith alias
|
||
|
|
LEFT JOIN database2.table2 ON ("tt"."ttt"."fff" = "xx"."xxx")
|
||
|
|
will return {"tableFromWith": "SELECT * FROM table3"}
|
||
|
|
"""
|
||
|
|
if self._with_queries is not None:
|
||
|
|
return self._with_queries
|
||
|
|
with_queries = {}
|
||
|
|
with_queries_columns = {}
|
||
|
|
for name in self.with_names:
|
||
|
|
token = self.tokens[0].find_nearest_token(
|
||
|
|
name, value_attribute="value", direction="right"
|
||
|
|
)
|
||
|
|
if token.next_token.is_with_columns_start:
|
||
|
|
with_queries_columns[name] = True
|
||
|
|
else:
|
||
|
|
with_queries_columns[name] = False
|
||
|
|
current_with_query = []
|
||
|
|
with_start = token.find_nearest_token(
|
||
|
|
True, value_attribute="is_with_query_start", direction="right"
|
||
|
|
)
|
||
|
|
with_end = with_start.find_nearest_token(
|
||
|
|
True, value_attribute="is_with_query_end", direction="right"
|
||
|
|
)
|
||
|
|
query_token = with_start.next_token
|
||
|
|
while query_token is not None and query_token != with_end:
|
||
|
|
current_with_query.append(query_token)
|
||
|
|
query_token = query_token.next_token
|
||
|
|
with_query_text = "".join([x.stringified_token for x in current_with_query])
|
||
|
|
with_queries[name] = with_query_text
|
||
|
|
self._with_queries = with_queries
|
||
|
|
self._with_queries_columns = with_queries_columns
|
||
|
|
return self._with_queries
|
||
|
|
|
||
|
|
@property
|
||
|
|
def subqueries(self) -> Dict:
|
||
|
|
"""
|
||
|
|
Returns a dictionary with all sub-queries existing in query
|
||
|
|
"""
|
||
|
|
if self._subqueries is not None:
|
||
|
|
return self._subqueries
|
||
|
|
subqueries = {}
|
||
|
|
token = self.tokens[0]
|
||
|
|
while token.next_token:
|
||
|
|
if token.previous_token.is_subquery_start:
|
||
|
|
current_subquery = []
|
||
|
|
current_level = token.subquery_level
|
||
|
|
inner_token = token
|
||
|
|
while (
|
||
|
|
inner_token.next_token
|
||
|
|
and not inner_token.next_token.subquery_level < current_level
|
||
|
|
):
|
||
|
|
current_subquery.append(inner_token)
|
||
|
|
inner_token = inner_token.next_token
|
||
|
|
|
||
|
|
query_name = None
|
||
|
|
if inner_token.next_token.value in self.subqueries_names:
|
||
|
|
query_name = inner_token.next_token.value
|
||
|
|
elif inner_token.next_token.is_as_keyword:
|
||
|
|
query_name = inner_token.next_token.next_token.value
|
||
|
|
|
||
|
|
subquery_text = "".join([x.stringified_token for x in current_subquery])
|
||
|
|
if query_name is not None:
|
||
|
|
subqueries[query_name] = subquery_text
|
||
|
|
|
||
|
|
token = token.next_token
|
||
|
|
|
||
|
|
self._subqueries = subqueries
|
||
|
|
return self._subqueries
|
||
|
|
|
||
|
|
@property
|
||
|
|
def subqueries_names(self) -> List[str]:
|
||
|
|
"""
|
||
|
|
Returns sub-queries aliases list from a given query
|
||
|
|
|
||
|
|
e.g. SELECT COUNT(1) FROM
|
||
|
|
(SELECT std.task_id FROM some_task_detail std WHERE std.STATUS = 1) a
|
||
|
|
JOIN (SELECT st.task_id FROM some_task st WHERE task_type_id = 80) b
|
||
|
|
ON a.task_id = b.task_id;
|
||
|
|
will return ["a", "b"]
|
||
|
|
"""
|
||
|
|
if self._subqueries_names is not None:
|
||
|
|
return self._subqueries_names
|
||
|
|
subqueries_names = UniqueList()
|
||
|
|
for token in self.tokens:
|
||
|
|
if (token.previous_token.is_subquery_end and not token.is_as_keyword) or (
|
||
|
|
token.previous_token.is_as_keyword
|
||
|
|
and token.get_nth_previous(2).is_subquery_end
|
||
|
|
):
|
||
|
|
token.token_type = TokenType.SUB_QUERY_NAME
|
||
|
|
subqueries_names.append(str(token))
|
||
|
|
|
||
|
|
self._subqueries_names = subqueries_names
|
||
|
|
return self._subqueries_names
|
||
|
|
|
||
|
|
@property
|
||
|
|
def values(self) -> List:
|
||
|
|
"""
|
||
|
|
Returns list of values from insert queries
|
||
|
|
"""
|
||
|
|
if self._values:
|
||
|
|
return self._values
|
||
|
|
values = []
|
||
|
|
for token in self._not_parsed_tokens:
|
||
|
|
if (
|
||
|
|
token.last_keyword_normalized == "VALUES"
|
||
|
|
and token.is_in_parenthesis
|
||
|
|
and token.next_token.is_punctuation
|
||
|
|
):
|
||
|
|
if token.is_integer:
|
||
|
|
value = int(token.value)
|
||
|
|
elif token.is_float:
|
||
|
|
value = float(token.value)
|
||
|
|
else:
|
||
|
|
value = token.value.strip("'\"")
|
||
|
|
values.append(value)
|
||
|
|
self._values = values
|
||
|
|
return self._values
|
||
|
|
|
||
|
|
@property
|
||
|
|
def values_dict(self) -> Dict:
|
||
|
|
"""
|
||
|
|
Returns dictionary of column-value pairs.
|
||
|
|
If columns are not set the auto generated column_<col_number> are added.
|
||
|
|
"""
|
||
|
|
values = self.values
|
||
|
|
if self._values_dict or not values:
|
||
|
|
return self._values_dict
|
||
|
|
columns = self.columns
|
||
|
|
if not columns:
|
||
|
|
columns = [f"column_{ind + 1}" for ind in range(len(values))]
|
||
|
|
values_dict = dict(zip(columns, values))
|
||
|
|
self._values_dict = values_dict
|
||
|
|
return self._values_dict
|
||
|
|
|
||
|
|
@property
|
||
|
|
def comments(self) -> List[str]:
|
||
|
|
"""
|
||
|
|
Return comments from SQL query
|
||
|
|
"""
|
||
|
|
return [x.value for x in self.tokens if x.is_comment]
|
||
|
|
|
||
|
|
@property
|
||
|
|
def without_comments(self) -> str:
|
||
|
|
"""
|
||
|
|
Removes comments from SQL query
|
||
|
|
"""
|
||
|
|
return Generalizator(self._raw_query).without_comments
|
||
|
|
|
||
|
|
@property
|
||
|
|
def generalize(self) -> str:
|
||
|
|
"""
|
||
|
|
Removes most variables from an SQL query
|
||
|
|
and replaces them with X or N for numbers.
|
||
|
|
|
||
|
|
Based on Mediawiki's DatabaseBase::generalizeSQL
|
||
|
|
"""
|
||
|
|
return Generalizator(self._raw_query).generalize
|
||
|
|
|
||
|
|
@property
|
||
|
|
def _not_parsed_tokens(self):
|
||
|
|
"""
|
||
|
|
Returns only tokens that have no type assigned yet
|
||
|
|
"""
|
||
|
|
return [x for x in self.tokens if x.token_type is None]
|
||
|
|
|
||
|
|
def _handle_column_save(self, token: SQLToken, columns: List[str]):
|
||
|
|
column = token.table_prefixed_column(self.tables_aliases)
|
||
|
|
if self._is_with_query_already_resolved(column):
|
||
|
|
self._add_to_columns_aliases_subsection(token=token, left_expand=False)
|
||
|
|
token.token_type = TokenType.COLUMN_ALIAS
|
||
|
|
return
|
||
|
|
column = self._resolve_sub_queries(column)
|
||
|
|
self._add_to_columns_with_tables(token, column)
|
||
|
|
self._add_to_columns_subsection(
|
||
|
|
keyword=token.last_keyword_normalized, column=column
|
||
|
|
)
|
||
|
|
token.token_type = TokenType.COLUMN
|
||
|
|
columns.extend(column)
|
||
|
|
|
||
|
|
@staticmethod
|
||
|
|
def _handle_with_name_save(token: SQLToken, with_names: List[str]) -> None:
|
||
|
|
if token.is_right_parenthesis:
|
||
|
|
# inside columns of with statement
|
||
|
|
# like: with (col1, col2) as (subquery)
|
||
|
|
token.is_with_columns_end = True
|
||
|
|
token.is_nested_function_end = False
|
||
|
|
start_token = token.find_nearest_token("(")
|
||
|
|
# like: with (col1, col2) as (subquery) as ..., it enters an infinite loop.
|
||
|
|
# return exception
|
||
|
|
if start_token.is_with_query_start:
|
||
|
|
raise ValueError("This query is wrong")
|
||
|
|
start_token.is_with_columns_start = True
|
||
|
|
start_token.is_nested_function_start = False
|
||
|
|
prev_token = start_token.previous_token
|
||
|
|
prev_token.token_type = TokenType.WITH_NAME
|
||
|
|
with_names.append(prev_token.value)
|
||
|
|
else:
|
||
|
|
token.token_type = TokenType.WITH_NAME
|
||
|
|
with_names.append(token.value)
|
||
|
|
|
||
|
|
def _handle_column_alias_subquery_level_update(self, token: SQLToken) -> None:
|
||
|
|
token.token_type = TokenType.COLUMN_ALIAS
|
||
|
|
self._add_to_columns_aliases_subsection(token=token)
|
||
|
|
current_level = self._column_aliases_max_subquery_level.setdefault(
|
||
|
|
token.value, 0
|
||
|
|
)
|
||
|
|
if token.subquery_level > current_level:
|
||
|
|
self._column_aliases_max_subquery_level[token.value] = token.subquery_level
|
||
|
|
|
||
|
|
def _resolve_subquery_alias(self, token: SQLToken) -> Union[str, List[str]]:
|
||
|
|
# nested subquery like select a, (select a as b from x) as column
|
||
|
|
start_token = token.find_nearest_token(
|
||
|
|
True, value_attribute="is_column_definition_start"
|
||
|
|
)
|
||
|
|
if start_token.next_token.normalized == "SELECT":
|
||
|
|
# we have a subquery
|
||
|
|
alias_token = start_token.next_token.find_nearest_token(
|
||
|
|
self._aliases_to_check,
|
||
|
|
direction="right",
|
||
|
|
value_attribute="value",
|
||
|
|
)
|
||
|
|
return self._resolve_alias_to_column(alias_token)
|
||
|
|
|
||
|
|
# chain of functions or redundant parenthesis
|
||
|
|
return self._find_all_columns_between_tokens(
|
||
|
|
start_token=start_token, end_token=token
|
||
|
|
)
|
||
|
|
|
||
|
|
def _resolve_function_alias(self, token: SQLToken) -> Union[str, List[str]]:
|
||
|
|
# it can be one function or a chain of functions
|
||
|
|
# like: sum(a) + sum(b) as alias
|
||
|
|
# or operation on columns like: col1 + col2 as alias
|
||
|
|
start_token = token.find_nearest_token(
|
||
|
|
[",", "SELECT"], value_attribute="normalized"
|
||
|
|
)
|
||
|
|
while start_token.is_in_nested_function:
|
||
|
|
start_token = start_token.find_nearest_token(
|
||
|
|
[",", "SELECT"], value_attribute="normalized"
|
||
|
|
)
|
||
|
|
return self._find_all_columns_between_tokens(
|
||
|
|
start_token=start_token, end_token=token
|
||
|
|
)
|
||
|
|
|
||
|
|
def _add_to_columns_subsection(self, keyword: str, column: Union[str, List[str]]):
|
||
|
|
"""
|
||
|
|
Add columns to the section in which it appears in query
|
||
|
|
"""
|
||
|
|
section = COLUMNS_SECTIONS[keyword]
|
||
|
|
self._columns_dict = self._columns_dict or {}
|
||
|
|
current_section = self._columns_dict.setdefault(section, UniqueList())
|
||
|
|
if isinstance(column, str):
|
||
|
|
current_section.append(column)
|
||
|
|
else:
|
||
|
|
current_section.extend(column)
|
||
|
|
|
||
|
|
def _add_to_columns_aliases_subsection(
|
||
|
|
self, token: SQLToken, left_expand: bool = True
|
||
|
|
) -> None:
|
||
|
|
"""
|
||
|
|
Add alias to the section in which it appears in query
|
||
|
|
"""
|
||
|
|
keyword = token.last_keyword_normalized
|
||
|
|
alias = token.value if left_expand else token.value.split(".")[-1]
|
||
|
|
if (
|
||
|
|
token.last_keyword_normalized in ["FROM", "WITH"]
|
||
|
|
and token.find_nearest_token("(").is_with_columns_start
|
||
|
|
):
|
||
|
|
keyword = "SELECT"
|
||
|
|
section = COLUMNS_SECTIONS[keyword]
|
||
|
|
self._columns_aliases_dict = self._columns_aliases_dict or {}
|
||
|
|
self._columns_aliases_dict.setdefault(section, UniqueList()).append(alias)
|
||
|
|
|
||
|
|
def _add_to_columns_with_tables(
|
||
|
|
self, token: SQLToken, column: Union[str, List[str]]
|
||
|
|
) -> None:
|
||
|
|
if isinstance(column, list) and len(column) == 1:
|
||
|
|
column = column[0]
|
||
|
|
self._columns_with_tables_aliases[token.value] = column
|
||
|
|
|
||
|
|
def _resolve_column_alias(
|
||
|
|
self, alias: Union[str, List[str]], visited: Set = None
|
||
|
|
) -> Union[str, List]:
|
||
|
|
"""
|
||
|
|
Returns a column name for a given alias
|
||
|
|
"""
|
||
|
|
visited = visited or set()
|
||
|
|
if isinstance(alias, list):
|
||
|
|
return [self._resolve_column_alias(x, visited) for x in alias]
|
||
|
|
while alias in self.columns_aliases and alias not in visited:
|
||
|
|
visited.add(alias)
|
||
|
|
alias = self.columns_aliases[alias]
|
||
|
|
if isinstance(alias, list):
|
||
|
|
return self._resolve_column_alias(alias, visited)
|
||
|
|
return alias
|
||
|
|
|
||
|
|
def _resolve_alias_to_column(self, alias_token: SQLToken) -> str:
|
||
|
|
"""
|
||
|
|
Resolves aliases of tables to already resolved columns
|
||
|
|
"""
|
||
|
|
if alias_token.value in self._columns_with_tables_aliases:
|
||
|
|
alias_of = self._columns_with_tables_aliases[alias_token.value]
|
||
|
|
else:
|
||
|
|
alias_of = alias_token.value
|
||
|
|
return alias_of
|
||
|
|
|
||
|
|
def _resolve_sub_queries(self, column: str) -> List[str]:
|
||
|
|
"""
|
||
|
|
Resolve column names coming from sub queries and with queries to actual
|
||
|
|
column names as they appear in the query
|
||
|
|
"""
|
||
|
|
column = self._resolve_nested_query(
|
||
|
|
subquery_alias=column,
|
||
|
|
nested_queries_names=self.subqueries_names,
|
||
|
|
nested_queries=self.subqueries,
|
||
|
|
already_parsed=self._subqueries_parsers,
|
||
|
|
)
|
||
|
|
if isinstance(column, str):
|
||
|
|
column = self._resolve_nested_query(
|
||
|
|
subquery_alias=column,
|
||
|
|
nested_queries_names=self.with_names,
|
||
|
|
nested_queries=self.with_queries,
|
||
|
|
already_parsed=self._with_parsers,
|
||
|
|
)
|
||
|
|
return column if isinstance(column, list) else [column]
|
||
|
|
|
||
|
|
@staticmethod
|
||
|
|
def _resolve_nested_query(
|
||
|
|
subquery_alias: str,
|
||
|
|
nested_queries_names: List[str],
|
||
|
|
nested_queries: Dict,
|
||
|
|
already_parsed: Dict,
|
||
|
|
) -> Union[str, List[str]]:
|
||
|
|
"""
|
||
|
|
Resolves subquery reference to the actual column in the subquery
|
||
|
|
"""
|
||
|
|
parts = subquery_alias.split(".")
|
||
|
|
if len(parts) != 2 or parts[0] not in nested_queries_names:
|
||
|
|
return subquery_alias
|
||
|
|
sub_query, column_name = parts[0], parts[-1]
|
||
|
|
sub_query_definition = nested_queries.get(sub_query)
|
||
|
|
subparser = already_parsed.setdefault(sub_query, Parser(sub_query_definition))
|
||
|
|
# in subquery you cannot have more than one column with given name
|
||
|
|
# so it either has to have an alias or only one column with given name exists
|
||
|
|
if column_name in subparser.columns_aliases_names:
|
||
|
|
resolved_column = subparser._resolve_column_alias( # pylint: disable=W0212
|
||
|
|
column_name
|
||
|
|
)
|
||
|
|
if isinstance(resolved_column, list):
|
||
|
|
resolved_column = flatten_list(resolved_column)
|
||
|
|
return resolved_column
|
||
|
|
return [resolved_column]
|
||
|
|
|
||
|
|
if column_name == "*":
|
||
|
|
return subparser.columns
|
||
|
|
try:
|
||
|
|
column_index = [x.split(".")[-1] for x in subparser.columns].index(
|
||
|
|
column_name
|
||
|
|
)
|
||
|
|
except ValueError as exc:
|
||
|
|
# handle case when column name is used but subquery select all by wildcard
|
||
|
|
if "*" in subparser.columns:
|
||
|
|
return column_name
|
||
|
|
raise exc # pragma: no cover
|
||
|
|
resolved_column = subparser.columns[column_index]
|
||
|
|
return [resolved_column]
|
||
|
|
|
||
|
|
def _is_with_query_already_resolved(self, col_alias: str) -> bool:
|
||
|
|
"""
|
||
|
|
Checks if columns comes from a with query that has columns defined
|
||
|
|
cause if it does that means that column name is an alias and is already
|
||
|
|
resolved in aliases.
|
||
|
|
"""
|
||
|
|
parts = col_alias.split(".")
|
||
|
|
if len(parts) != 2 or parts[0] not in self.with_names:
|
||
|
|
return False
|
||
|
|
if self._with_queries_columns.get(parts[0]):
|
||
|
|
return True
|
||
|
|
return False
|
||
|
|
|
||
|
|
def _determine_opening_parenthesis_type(self, token: SQLToken):
|
||
|
|
"""
|
||
|
|
Determines the type of left parenthesis in query
|
||
|
|
"""
|
||
|
|
if token.previous_token.normalized in SUBQUERY_PRECEDING_KEYWORDS:
|
||
|
|
# inside subquery / derived table
|
||
|
|
token.is_subquery_start = True
|
||
|
|
self._subquery_level += 1
|
||
|
|
self._preceded_keywords.append(token.last_keyword_normalized)
|
||
|
|
token.subquery_level = self._subquery_level
|
||
|
|
elif token.previous_token.normalized in KEYWORDS_BEFORE_COLUMNS.union({","}):
|
||
|
|
# we are in columns and in a column subquery definition
|
||
|
|
token.is_column_definition_start = True
|
||
|
|
elif (
|
||
|
|
token.previous_token_not_comment.is_as_keyword
|
||
|
|
and token.last_keyword_normalized != "WINDOW"
|
||
|
|
):
|
||
|
|
# window clause also contains AS keyword, but it is not a query
|
||
|
|
token.is_with_query_start = True
|
||
|
|
elif (
|
||
|
|
token.last_keyword_normalized == "TABLE"
|
||
|
|
and token.find_nearest_token("(") is EmptyToken
|
||
|
|
):
|
||
|
|
token.is_create_table_columns_declaration_start = True
|
||
|
|
elif token.previous_token.normalized == "OVER":
|
||
|
|
token.is_partition_clause_start = True
|
||
|
|
else:
|
||
|
|
# nested function
|
||
|
|
token.is_nested_function_start = True
|
||
|
|
self._nested_level += 1
|
||
|
|
self._is_in_nested_function = True
|
||
|
|
self._open_parentheses.append(token)
|
||
|
|
self._parenthesis_level += 1
|
||
|
|
|
||
|
|
def _determine_closing_parenthesis_type(self, token: SQLToken):
|
||
|
|
"""
|
||
|
|
Determines the type of right parenthesis in query
|
||
|
|
"""
|
||
|
|
last_open_parenthesis = self._open_parentheses.pop(-1)
|
||
|
|
if last_open_parenthesis.is_subquery_start:
|
||
|
|
token.is_subquery_end = True
|
||
|
|
self._subquery_level -= 1
|
||
|
|
elif last_open_parenthesis.is_column_definition_start:
|
||
|
|
token.is_column_definition_end = True
|
||
|
|
elif last_open_parenthesis.is_with_query_start:
|
||
|
|
token.is_with_query_end = True
|
||
|
|
elif last_open_parenthesis.is_create_table_columns_declaration_start:
|
||
|
|
token.is_create_table_columns_declaration_end = True
|
||
|
|
elif last_open_parenthesis.is_partition_clause_start:
|
||
|
|
token.is_partition_clause_end = True
|
||
|
|
else:
|
||
|
|
token.is_nested_function_end = True
|
||
|
|
self._nested_level -= 1
|
||
|
|
if self._nested_level == 0:
|
||
|
|
self._is_in_nested_function = False
|
||
|
|
self._parenthesis_level -= 1
|
||
|
|
|
||
|
|
def _find_column_for_with_column_alias(self, token: SQLToken) -> str:
|
||
|
|
start_token = token.find_nearest_token(
|
||
|
|
True, direction="right", value_attribute="is_with_query_start"
|
||
|
|
)
|
||
|
|
if start_token not in self._with_columns_candidates:
|
||
|
|
end_token = start_token.find_nearest_token(
|
||
|
|
True, direction="right", value_attribute="is_with_query_end"
|
||
|
|
)
|
||
|
|
columns = self._find_all_columns_between_tokens(
|
||
|
|
start_token=start_token, end_token=end_token
|
||
|
|
)
|
||
|
|
self._with_columns_candidates[start_token] = columns
|
||
|
|
if isinstance(self._with_columns_candidates[start_token], list):
|
||
|
|
alias_of = self._with_columns_candidates[start_token].pop(0)
|
||
|
|
else:
|
||
|
|
alias_of = self._with_columns_candidates[start_token]
|
||
|
|
return alias_of
|
||
|
|
|
||
|
|
def _find_all_columns_between_tokens(
|
||
|
|
self, start_token: SQLToken, end_token: SQLToken
|
||
|
|
) -> Union[str, List[str]]:
|
||
|
|
"""
|
||
|
|
Returns a list of columns between two tokens
|
||
|
|
"""
|
||
|
|
loop_token = start_token
|
||
|
|
aliases = UniqueList()
|
||
|
|
while loop_token.next_token != end_token:
|
||
|
|
if loop_token.next_token.value in self._aliases_to_check:
|
||
|
|
alias_token = loop_token.next_token
|
||
|
|
if (
|
||
|
|
alias_token.normalized != "*"
|
||
|
|
or alias_token.is_wildcard_not_operator
|
||
|
|
):
|
||
|
|
aliases.append(self._resolve_alias_to_column(alias_token))
|
||
|
|
loop_token = loop_token.next_token
|
||
|
|
return aliases[0] if len(aliases) == 1 else aliases
|
||
|
|
|
||
|
|
def _preprocess_query(self) -> str:
|
||
|
|
"""
|
||
|
|
Perform initial query cleanup
|
||
|
|
"""
|
||
|
|
if self._raw_query == "":
|
||
|
|
return ""
|
||
|
|
|
||
|
|
# python re does not have variable length look back/forward
|
||
|
|
# so we need to replace all the " (double quote) for a
|
||
|
|
# temporary placeholder as we DO NOT want to replace those
|
||
|
|
# in the strings as this is something that user provided
|
||
|
|
def replace_quotes_in_string(match):
|
||
|
|
return re.sub('"', "<!!__QUOTE__!!>", match.group())
|
||
|
|
|
||
|
|
def replace_back_quotes_in_string(match):
|
||
|
|
return re.sub("<!!__QUOTE__!!>", '"', match.group())
|
||
|
|
|
||
|
|
# unify quoting in queries, replace double quotes to backticks
|
||
|
|
# it's best to keep the quotes as they can have keywords
|
||
|
|
# or digits at the beginning so we only strip them in SQLToken
|
||
|
|
# as double quotes are not properly handled in sqlparse
|
||
|
|
query = re.sub(r"'.*?'", replace_quotes_in_string, self._raw_query)
|
||
|
|
query = re.sub(r'"([^`]+?)"', r"`\1`", query)
|
||
|
|
query = re.sub(r"'.*?'", replace_back_quotes_in_string, query)
|
||
|
|
|
||
|
|
return query
|
||
|
|
|
||
|
|
def _determine_last_relevant_keyword(self, token: SQLToken, last_keyword: str):
|
||
|
|
if token.value == "," and token.last_keyword_normalized == "ON":
|
||
|
|
return "FROM"
|
||
|
|
if token.is_keyword and "".join(token.normalized.split()) in RELEVANT_KEYWORDS:
|
||
|
|
if (
|
||
|
|
not (
|
||
|
|
token.normalized == "FROM"
|
||
|
|
and token.get_nth_previous(3).normalized == "EXTRACT"
|
||
|
|
)
|
||
|
|
and not (
|
||
|
|
token.normalized == "ORDERBY"
|
||
|
|
and len(self._open_parentheses) > 0
|
||
|
|
and self._open_parentheses[-1].is_partition_clause_start
|
||
|
|
)
|
||
|
|
and not (token.normalized == "USING" and last_keyword == "SELECT")
|
||
|
|
):
|
||
|
|
last_keyword = token.normalized
|
||
|
|
return last_keyword
|
||
|
|
|
||
|
|
def _is_token_part_of_complex_identifier(
|
||
|
|
self, token: sqlparse.tokens.Token, index: int
|
||
|
|
) -> bool:
|
||
|
|
"""
|
||
|
|
Checks if token is a part of complex identifier like
|
||
|
|
<schema>.<table>.<column> or <table/sub_query>.<column>
|
||
|
|
"""
|
||
|
|
return str(token) == "." or (
|
||
|
|
index + 1 < self.tokens_length
|
||
|
|
and str(self.non_empty_tokens[index + 1]) == "."
|
||
|
|
)
|
||
|
|
|
||
|
|
def _combine_qualified_names(self, index: int, token: SQLToken) -> None:
|
||
|
|
"""
|
||
|
|
Combines names like <schema>.<table>.<column> or <table/sub_query>.<column>
|
||
|
|
"""
|
||
|
|
value = token.value
|
||
|
|
is_complex = True
|
||
|
|
while is_complex:
|
||
|
|
value, is_complex = self._combine_tokens(index=index, value=value)
|
||
|
|
index = index - 2
|
||
|
|
token.value = value
|
||
|
|
|
||
|
|
def _combine_tokens(self, index: int, value: str) -> Tuple[str, bool]:
|
||
|
|
"""
|
||
|
|
Checks if complex identifier is longer and follows back until it's finished
|
||
|
|
"""
|
||
|
|
if index > 1 and str(self.non_empty_tokens[index - 1]) == ".":
|
||
|
|
prev_value = self.non_empty_tokens[index - 2].value.strip("`").strip('"')
|
||
|
|
value = f"{prev_value}.{value}"
|
||
|
|
return value, True
|
||
|
|
return value, False
|
||
|
|
|
||
|
|
def _get_sqlparse_tokens(self, parsed) -> None:
|
||
|
|
"""
|
||
|
|
Flattens the tokens and removes whitespace
|
||
|
|
"""
|
||
|
|
self.sqlparse_tokens = parsed[0].tokens
|
||
|
|
sqlparse_tokens = self._flatten_sqlparse()
|
||
|
|
self.non_empty_tokens = [
|
||
|
|
token
|
||
|
|
for token in sqlparse_tokens
|
||
|
|
if token.ttype is not Whitespace and token.ttype.parent is not Whitespace
|
||
|
|
]
|
||
|
|
self.tokens_length = len(self.non_empty_tokens)
|
||
|
|
|
||
|
|
def _flatten_sqlparse(self):
|
||
|
|
for token in self.sqlparse_tokens:
|
||
|
|
# sqlparse returns mysql digit starting identifiers as group
|
||
|
|
# check https://github.com/andialbrecht/sqlparse/issues/337
|
||
|
|
is_grouped_mysql_digit_name = (
|
||
|
|
token.is_group
|
||
|
|
and len(token.tokens) == 2
|
||
|
|
and token.tokens[0].ttype is Number.Integer
|
||
|
|
and (
|
||
|
|
token.tokens[1].is_group and token.tokens[1].tokens[0].ttype is Name
|
||
|
|
)
|
||
|
|
)
|
||
|
|
if token.is_group and not is_grouped_mysql_digit_name:
|
||
|
|
yield from token.flatten()
|
||
|
|
elif is_grouped_mysql_digit_name:
|
||
|
|
# we have digit starting name
|
||
|
|
new_tok = Token(
|
||
|
|
value=f"{token.tokens[0].normalized}"
|
||
|
|
f"{token.tokens[1].tokens[0].normalized}",
|
||
|
|
ttype=token.tokens[1].tokens[0].ttype,
|
||
|
|
)
|
||
|
|
new_tok.parent = token.parent
|
||
|
|
yield new_tok
|
||
|
|
if len(token.tokens[1].tokens) > 1:
|
||
|
|
# unfortunately there might be nested groups
|
||
|
|
remaining_tokens = token.tokens[1].tokens[1:]
|
||
|
|
for tok in remaining_tokens:
|
||
|
|
if tok.is_group:
|
||
|
|
yield from tok.flatten()
|
||
|
|
else:
|
||
|
|
yield tok
|
||
|
|
else:
|
||
|
|
yield token
|