value def extract_tables(sql): stream = extract_from_part(sqlparse.parse(sql)[0]) return list(extract_table_identifiers(stream)) if __name__ == '__main__': sql = """ select K.a,K.b from (select H.b from (select G.c from (select F.d from (select E.e from A, B, C, ...
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...
importsqlparsedefextract_tables(sql):parsed=sqlparse.parse(sql)[0]tables=set()fortokeninparsed.tokens:ifisinstance(token,sqlparse.sql.Identifier):tables.add(token.get_real_name())returntables sql1="SELECT * FROM table1"sql2="SELECT * FROM table2 WHERE column1 > 10"sql3="SELECT * FROM ...
如sql元数据(https://github.com/macbre/sql-metadata)amd sql分析(https://github.com/andialbrecht/...
sql-metadata Uses tokenized query returned bypython-sqlparseand generates query metadata. Extracts column names and tablesused by the query. Automatically conductcolumn alias resolution,sub queries aliases resolutionas well astables aliases resolving. ...
原文:wesmckinney.com/book/ 译者:飞龙 协议:CC BY-NC-SA 4.0 六、数据加载、存储和文件格式 原文:wesmckinney.com/book/accessing-data 译者:飞龙 协议:CC BY-NC-SA 4.0 此开放访问网络版本的《Python 数据分
sqlparse 0.4.3 A non-validating SQL parser. sspyrs 0.3 Lightweight interface for SSRS reports to python stack_data 0.6.1 Extract data from python stack frames and tracebacks for informative displays starlette 0.35.1 The little ASGI library that shines. statsmodels 0.14.2 Statistical computations...
读取数据并使其可访问(通常称为数据加载)是使用本书中大多数工具的必要第一步。术语解析有时也用于描述加载文本数据并将其解释为表格和不同数据类型。我将专注于使用 pandas 进行数据输入和输出,尽管其他库中有许多工具可帮助读取和写入各种格式的数据。 输入和输出通常分为几个主要类别:读取文本文件和其他更高效的...
简介:Python pandas库|任凭弱水三千,我只取一瓢饮(5) S~W: Function46~56 Types['Function'][45:]['set_eng_float_format', 'show_versions', 'test', 'timedelta_range', 'to_datetime', 'to_numeric', 'to_pickle', 'to_timedelta', 'unique', 'value_counts', 'wide_to_long'] ...
模块3 数据模型和关系SQL【Data Models and Relational SQL】 In this section we learn about how data is stored across multiple tables in a database and how rows are linked (i.e., we establish relationships) in the database. 在本节中,我们将了解数据如何跨数据库中的多个表存储,以及如何在数据库...