chDB

中文

chDB is an embedded SQL OLAP Engine powered by ClickHouse ¹ For more details: The birth of chDB

Features

In-process SQL OLAP Engine, powered by ClickHouse
No need to install ClickHouse
Minimized data copy from C++ to Python with python memoryview
Input&Output support Parquet, CSV, JSON, Arrow, ORC and 60+more formats, samples
Support Python DB API 2.0, example

Arch

Get Started

Get started with chdb using our Installation and Usage Examples

Installation

Currently, chDB supports Python 3.8+ on macOS and Linux (x86_64 and ARM64).

pip install chdb

Usage

Run in command line

python3 -m chdb SQL [OutputFormat]

python3 -m chdb "SELECT 1,'abc'" Pretty

Data Input

The following methods are available to access on-disk and in-memory data formats:

🗂️ Query On File

(Parquet, CSV, JSON, Arrow, ORC and 60+)

You can execute SQL and return desired format data.

import chdb
res = chdb.query('select version()', 'Pretty'); print(res)

Work with Parquet or CSV

# See more data type format in tests/format_output.py
res = chdb.query('select * from file("data.parquet", Parquet)', 'JSON'); print(res)
res = chdb.query('select * from file("data.csv", CSV)', 'CSV');  print(res)
print(f"SQL read {res.rows_read()} rows, {res.bytes_read()} bytes, elapsed {res.elapsed()} seconds")

Pandas dataframe output

# See more in https://clickhouse.com/docs/en/interfaces/formats
chdb.query('select * from file("data.parquet", Parquet)', 'Dataframe')

🗂️ Query On Table

(Pandas DataFrame, Parquet file/bytes, Arrow bytes)

Query On Pandas DataFrame

import chdb.dataframe as cdf
import pandas as pd
# Join 2 DataFrames
df1 = pd.DataFrame({'a': [1, 2, 3], 'b': ["one", "two", "three"]})
df2 = pd.DataFrame({'c': [1, 2, 3], 'd': ["①", "②", "③"]})
ret_tbl = cdf.query(sql="select * from __tbl1__ t1 join __tbl2__ t2 on t1.a = t2.c",
                  tbl1=df1, tbl2=df2)
print(ret_tbl)
# Query on the DataFrame Table
print(ret_tbl.query('select b, sum(a) from __table__ group by b'))

🗂️ Query with Stateful Session

from chdb import session as chs

## Create DB, Table, View in temp session, auto cleanup when session is deleted.
sess = chs.Session()
sess.query("CREATE DATABASE IF NOT EXISTS db_xxx ENGINE = Atomic")
sess.query("CREATE TABLE IF NOT EXISTS db_xxx.log_table_xxx (x String, y Int) ENGINE = Log;")
sess.query("INSERT INTO db_xxx.log_table_xxx VALUES ('a', 1), ('b', 3), ('c', 2), ('d', 5);")
sess.query(
    "CREATE VIEW db_xxx.view_xxx AS SELECT * FROM db_xxx.log_table_xxx LIMIT 4;"
)
print("Select from view:\n")
print(sess.query("SELECT * FROM db_xxx.view_xxx", "Pretty"))

🗂️ Query with Python DB-API 2.0

import chdb.dbapi as dbapi
print("chdb driver version: {0}".format(dbapi.get_client_info()))

conn1 = dbapi.connect()
cur1 = conn1.cursor()
cur1.execute('select version()')
print("description: ", cur1.description)
print("data: ", cur1.fetchone())
cur1.close()
conn1.close()

🗂️ Query with UDF (User Defined Functions)

from chdb.udf import chdb_udf
from chdb import query

@chdb_udf()
def sum_udf(lhs, rhs):
    return int(lhs) + int(rhs)

print(query("select sum_udf(12,22)"))

Demos and Examples

Project Documentation and Usage Examples
Colab Notebooks and other Script Examples

Benchmark

ClickBench of embedded engines

Documentation

For chdb specific examples and documentation refer to doc.chdb.io
For SQL syntax, please refer to ClickHouse SQL Reference

Events

Demo chDB at ClickHouse v23.7 livehouse! and Slides

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated. There are something you can help:

Help test and report bugs
Help improve documentation
Help improve code quality and performance

Bindings

We welcome bindings for other languages, please refer to bindings for more details.

License

Apache 2.0, see LICENSE for more information.

Acknowledgments

chDB is mainly based on ClickHouse ¹ for trade mark and other reasons, I named it chDB.

Contact

ClickHouse® is a trademark of ClickHouse Inc. All trademarks, service marks, and logos mentioned or depicted are the property of their respective owners. The use of any third-party trademarks, brand names, product names, and company names does not imply endorsement, affiliation, or association with the respective owners. ↩ ↩²

pandeyshishir / chdb Goto Github PK

chdb's Introduction