query_engine = index.as_query_engine() response = query_engine.query(query_str) print('-' * 100) print("Base query:") print(response) # Query with HyDE transformation hyde = HyDEQueryTransform(include_original=True) hyde_query_engine = TransformQueryEngine(query_engine, hyde) response = h...
Base=declarative_base() from sqlalchemy import create_engine engine=create_engine('sqlite:///:memory:',echo=True) class User(Base): __tablename__='users' id=Column(Integer,Sequence('user_id_seq'),primary_key=True) name=Column(String(50)) fullname=Column(String(50)) password=Column(Stri...
#将s转成字典 df1.to_excel('output1.xlsx', engine='xlsxwriter') #将df1输出到excel文件中 s.to_frame() #将s转成数据框 df.to_json(orient='table') # 将数据转成json格式 s.value_counts() #统计s的每个值得个数 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16....
HQE(Hologres Query Engine) Hologres自研执行引擎,采用可扩展的MPP架构全并行计算,向量化算子发挥CPU极致算力,从而实现极致的查询性能。(QE主要由HQE组成)。 PQE(Postgres Query Engine) 用于兼容Postgres提供扩展能力,支持PG生态的各种扩展组件,如PostGIS,UDF(PL/JAVA,PL/SQL,PL/Python)等。部分HQE还没有支持的函数...
Documentation:Python-Rust-Node.js-R|StackOverflow:Python-Rust-Node.js-R|User guide|Discord Polars: Blazingly fast DataFrames in Rust, Python, Node.js, R and SQL Polars is a DataFrame interface on top of an OLAP Query Engine implemented in Rust usingApache Arrow Columnar Formatas the memory ...
df.query('column_name.str.contains("abc")', engine='python') 您可以轻松地将其与其他条件结合起来: df.query('column_a.str.contains("abc") or column_b.str.contains("xyz") and column_c>100', engine='python') 然而,它并不完全等同于 SQL Like,但仍然很有用。
一.SQLAlchemy介绍 SQLAlchemy是一个基于Python实现的ORM框架。该框架建立在 DB API之上,使用关系对象映射进行数据库操作,简言之便是:将类和对象转换成SQL,然后使用数据API执行SQL并获取执行结果。 1 pip3 install sqlalchemy 组成部分: Engine,框架的引擎 Connection Pooling ,数据库连接池 Dialect,选择连接数据库的...
Push down a query to the database engine You can push down an entire query to the database and return just the result. Thetableparameter identifies the JDBC table to read. You can use anything that is valid in a SQL queryFROMclause. ...
Python DataFrame API Architecture What can you do with this crate? DataFusion is great for building projects such as domain specific query engines, new database platforms and data pipelines, query languages and more. It lets you start quickly from a fully working engine, and then customize those...
-- Connect to demo postgres DB CREATE DATABASE demo_postgres_db WITH ENGINE = "postgres", PARAMETERS = { "user": "demo_user", "password": "demo_password", "host": "samples.mindsdb.com", "port": "5432", "database": "demo", "schema": "demo_data" }; Once you’ve connected ...