>>>importduckdb>>>duckdb.sql('SELECT * FROM "/Users/michen/Documents/学习资料/duckDB/nation.csv" limit 1');┌─────────────┬─────────┬─────────────┬───────────────────────────────────────────...
import duckdb conn = duckdb.connect('sales.duckdb') cursor = conn.cursor() cursor.execute(""" CREATE TABLE sales( Transaction_date date ,Product varchar ,Price bigint ,Payment_Type varchar ,Name varchar ,City varchar ,State varchar ,Country varchar ,Account_Created varchar ,Last_Login varchar ...
importduckdbimportosif__name__=="__main__": csv_dir =r"~/duckdb_exp"file_nm =r"roadline.csv"## dbeaver中 duckdb 可以不导入到数据库中,就可以直接查询<前提是已经安装好debeaver 以及duckdb 以及dbeaver的duckdb驱动>## dbeaver “新建 SQL 编辑器”,这样我们就可以在里面写 SQL 语句## 直接可...
[root@hfserver1 soft]# time ./duckdb testdb -c "select deptno,count(*) from big_emp group by deptno" real 0m0.015s user 0m0.010s sys 0m0.009sselect count(*) from big_emp;\n+---+\n| count(*) |\n+---+\n| 1000000 |\n+---+\n\nmysql> show create table big_emp\\G;...
importpandasaspdimportduckdbimportosif__name__=="__main__": root_csv_dir =r"/data/statics_pandas_result.csv"grade_table_nm ="grade_nm_info"# 如果一张表我们要经常查询还是需要将其导入到数据库out_file_db = os.path.join(r"/data/stat",'schools_file.db')## 文件是否存在--数据库是否存在...
psql CREATE SERVER DuckDB_server FOREIGN DATA WRAPPER duckdb_fdw OPTIONS (database '/home/postgres/db'); IMPORT FOREIGN SCHEMA public FROM SERVER DuckDB_server INTO public; postgres=# \det List of foreign tables Schema | Table | Server ---+---+--- public | t1 | duckdb_server public |...
fix(deps): bump react-router-dom from 6.22.3 to 6.26.1 Aug 21, 2024 Repository files navigation README LicenseDuckDB-WasmDuckDB is an in-process SQL OLAP Database Management System.DuckDB-Wasm brings DuckDB to every browser thanks to WebAssembly.Duckdb...
from sqlalchemy import create_engine create_engine( 'duckdb:///:memory:', connect_args={ 'preload_extensions': ['https'], 'config': { 's3_region': 'ap-southeast-1' } } )The nameYes, I'm aware this package should be named duckdb-driver or something, I wasn't thinking when I ...
We will use it to create interactive visualizations of our dataset.Total Pedestrian Counts Over Timeimport plotly.express as px # Aggregate pedestrian counts by year yearly_counts = con.execute(""" SELECT strftime('%Y', Date_Time) AS Year, SUM(Counts) AS Total_Counts FROM pedestrian_counts ...
import pandas as pd from sklearn.datasets import fetch_openml # Load data df = fetch_openml(data_id=42092, as_frame=True)["frame"] # Initialize duckdb, register df and fire first query # If out-of-RAM: duckdb.connect("py.duckdb", config={"temp_directory": "a_directory"}) con =...