StringZilla ๐ฆ
StringZilla is the Godzilla of string libraries, splitting, sorting, and shuffling large textual datasets faster than you can say "Tokyo Tower" ๐
- Python docs
- C docs
- JavaScript docs.
- Rust docs.
Performance
StringZilla uses a heuristic so simple it's almost stupid... but it works.
It matches the first few letters of words with hyper-scalar code to achieve memcpy
speeds.
The implementation fits into a single C 99 header file and uses different SIMD flavors and SWAR on older platforms.
So if you're haunted by open(...).readlines()
and str().splitlines()
taking forever, this should help ๐
Substring Search
Backend \ Device | IoT | Laptop | Server |
---|---|---|---|
Speed Comparison ๐ | |||
Python for loop |
4 MB/s | 14 MB/s | 11 MB/s |
C++ for loop |
520 MB/s | 1.0 GB/s | 900 MB/s |
C++ string.find |
560 MB/s | 1.2 GB/s | 1.3 GB/s |
Scalar StringZilla | 2 GB/s | 3.3 GB/s | 3.5 GB/s |
Hyper-Scalar StringZilla | 4.3 GB/s | 12 GB/s | 12.1 GB/s |
Efficiency Metrics ๐ | |||
CPU Specs | 8-core ARM, 0.5 W/core | 8-core Intel, 5.6 W/core | 22-core Intel, 6.3 W/core |
Performance/Core | 2.1 - 3.3 GB/s | 11 GB/s | 10.5 GB/s |
Bytes/Joule | 4.2 GB/J | 2 GB/J | 1.6 GB/J |
Partition & Sort
Coming soon.
Quick Start: Python ๐
1๏ธ. Install via pip: pip install stringzilla
2. Import classes: from stringzilla import Str, File, Strs
Basic Usage
StringZilla offers two mostly interchangeable core classes:
from stringzilla import Str, File
text1 = Str('some-string')
text2 = File('some-file.txt')
The Str
is designed to replace long Python str
strings and wrap our C-level API.
On the other hand, the File
memory-maps a file from persistent memory without loading its copy into RAM.
The contents of that file would remain immutable, and the mapping can be shared by multiple Python processes simultaneously.
A standard dataset pre-processing use case would be to map a sizeable textual dataset like Common Crawl into memory, spawn child processes, and split the job between them.
Basic Operations
- Length:
len(text) -> int
- Indexing:
text[42] -> str
- Slicing:
text[42:46] -> str
Advanced Operations
'substring' in text -> bool
text.contains('substring', start=0, end=9223372036854775807) -> bool
text.find('substring', start=0, end=9223372036854775807) -> int
text.count('substring', start=0, end=9223372036854775807, allowoverlap=False) -> int
text.splitlines(keeplinebreaks=False, separator='\n') -> Strs
text.split(separator=' ', maxsplit=9223372036854775807, keepseparator=False) -> Strs
Collection-Level Operations
Once split into a Strs
object, you can sort, shuffle, and reorganize the slices.
lines: Strs = text.split(separator='\n')
lines.sort()
lines.shuffle(seed=42)
Need copies?
sorted_copy: Strs = lines.sorted()
shuffled_copy: Strs = lines.shuffled(seed=42)
Basic list
-like operations are also supported:
lines.append('Pythonic string')
lines.extend(shuffled_copy)
Quick Start: C ๐ ๏ธ
There is an ABI-stable C 99 interface, in case you have a database, an operating system, or a runtime you want to integrate with StringZilla.
#include "stringzilla.h"
// Initialize your haystack and needle
strzl_haystack_t haystack = {your_text, your_text_length};
strzl_needle_t needle = {your_subtext, your_subtext_length, your_anomaly_offset};
// Perform string-level operations
size_t character_count = strzl_naive_count_char(haystack, 'a');
size_t character_position = strzl_naive_find_char(haystack, 'a');
size_t substring_position = strzl_naive_find_substr(haystack, needle);
// Perform collection level operations
strzl_array_t array = {your_order, your_count, your_get_begin, your_get_length, your_handle};
strzl_sort(&array, &your_config);
Contributing ๐พ
Future development plans include:
- Replace PyBind11 with CPython.
- Reverse-order operations in Python #12.
- Bindings for JavaScript #25, Java, and Rust.
- Faster string sorting algorithm.
- Splitting CSV rows into columns.
- Splitting with multiple separators at once #29.
- UTF-8 validation.
- Arm SVE backend.
Here's how to set up your dev environment and run some tests.
Development
CPython:
# Clean up and install
rm -rf build && pip install -e . && pytest scripts/test.py -s -x
# Install without dependencies
pip install -e . --no-index --no-deps
NodeJS:
npm install && node javascript/test.js
Benchmarking
To benchmark on some custom file and pattern combinations:
python scripts/bench.py --haystack_path "your file" --needle "your pattern"
To benchmark on synthetic data:
python scripts/bench.py --haystack_pattern "abcd" --haystack_length 1e9 --needle "abce"
Packaging
To validate packaging:
cibuildwheel --platform linux
Compiling C++ Tests
# Install dependencies
brew install libomp llvm
# Compile and run tests
cmake -B ./build_release \
-DCMAKE_C_COMPILER="/opt/homebrew/opt/llvm/bin/clang" \
-DCMAKE_CXX_COMPILER="/opt/homebrew/opt/llvm/bin/clang++" \
-DSTRINGZILLA_USE_OPENMP=1 \
-DSTRINGZILLA_BUILD_TEST=1 \
&& \
make -C ./build_release -j && ./build_release/stringzilla_test
License ๐
Feel free to use the project under Apache 2.0 or the Three-clause BSD license at your preference.
If you like this project, you may also enjoy USearch, UCall, UForm, UStore, SimSIMD, and TenPack ๐ค