这段代码定义了一个extract_tables函数,用于提取SQL语句中的表名。它遍历解析后的SQL结构,查找FROM和JOIN关键字后面的表名,并将它们添加到一个集合中。 总结 sqlparse是一个功能强大的SQL解析工具,它可以帮助你解析、格式化和美化SQL语句,提取表名和字段名等信息。通过使用sqlparse,你可以更方便地处理和分析SQL语句...
value def extract_tables(sql): """ 提取sql中的表名(select语句) """ from_stream = extract_from_part(sqlparse.parse(sql)[0]) join_stream = extract_join_part(sqlparse.parse(sql)[0]) return list(extract_table_identifiers(from_stream)) + list(extract_table_identifiers(join_stream)) 4 ...
yielditem.value defextract_tables(sql): """ 提取sql中的表名(select语句) """ from_stream = extract_from_part(sqlparse.parse(sql)[0]) join_stream = extract_join_part(sqlparse.parse(sql)[0]) returnlist(extract_table_identifiers(from_stream)) + list(extract_table_identifiers(join_stream))...
def extract_tables(sql): """ 提取sql中的表名(select语句) :param sql: :return: """ from_stream = extract_from_part(sqlparse.parse(sql)[0]) join_stream = extract_join_part(sqlparse.parse(sql)[0]) return list(extract_table_identifiers(from_stream)) + list(extract_table_identifiers(joi...
import sqlparse import re def format_sql(sql_content): '''将sql语句进行规范化,并去除sql中的注释,输入和输出均为字符串''' parse_str = sqlparse.format(sql_content, reindent=True, strip_comments=True) return parse_str def extract_temp_tables(with_clause): '''从WITH子句中提取临时表名,输出...
def extract_tables(sql): """ 提取sql中的表名(select语句) """ from_stream = extract_from_part(sqlparse.parse(sql)[0]) join_stream = extract_join_part(sqlparse.parse(sql)[0]) return list(extract_table_identifiers(from_stream)) + list(extract_table_identifiers(join_stream)) ...
def extract_tables(sql): """ 提取sql中的表名(select语句) :param sql: :return: """ from_stream = extract_from_part(sqlparse.parse(sql)[0]) join_stream = extract_join_part(sqlparse.parse(sql)[0]) return list(extract_table_identifiers(from_stream)) + list(extract_table_identifiers(joi...
("SELECT test, id FROM foo, bar").tables# ['foo', 'bar']# you can also extract aliases of the tables as a dictionaryparser=Parser("SELECT f.test FROM foo AS f")# get table aliasesparser.tables_aliases# {'f': 'foo'}# note that aliases are auto-resolved for columnsparser.columns...
Using SqlParser or the DependencyTree classes in SqlServer.Management namespaces, how can I parse the tokens out of the View. I need to be able to individually identify the columns, tables, join types, aliases, where clause conditions etc. I know all these information is available as tokens ...
def extract_tables_from_sql(sql: str, engine: str = "postgresql") -> set[Table]: """ Helper function to extract tables from SQL. """ dialect = SQLGLOT_DIALECTS.get(engine) return { table for statement in SQLScript(sql, engine).statements for table in extract_tables_from_statement(...