Files
lancedb/python/src/connection.rs
Weston Pace 5a19cf15a6 feat: a utility for creating "permutation views" (#2552)
I'm working on a lancedb version of pytorch data loading (and hopefully
addressing https://github.com/lancedb/lance/issues/3727).

However, rather than rely on pytorch for everything I'm moving some of
the things that pytorch does into rust. This gives us more control over
data loading (e.g. using shards or a hash-based split) and it allows
permutations to be persistent. In particular I hope to be able to:

* Create a persistent permutation
* This permutation can handle splits, filtering, shuffling, and sharding
* Create a rust data loader that can read a permutation (one or more
splits), or a subset of a permutation (for DDP)
* Create a python data loader that delegates to the rust data loader

Eventually create integrations for other data loading libraries,
including rust & node
2025-10-09 18:07:31 -07:00

436 lines
14 KiB
Rust

// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
use std::{collections::HashMap, sync::Arc, time::Duration};
use arrow::{datatypes::Schema, ffi_stream::ArrowArrayStreamReader, pyarrow::FromPyArrow};
use lancedb::{
connection::Connection as LanceConnection,
database::{CreateTableMode, ReadConsistency},
};
use pyo3::{
exceptions::{PyRuntimeError, PyValueError},
pyclass, pyfunction, pymethods, Bound, FromPyObject, Py, PyAny, PyRef, PyResult, Python,
};
use pyo3_async_runtimes::tokio::future_into_py;
use crate::{error::PythonErrorExt, table::Table};
#[pyclass]
pub struct Connection {
inner: Option<LanceConnection>,
}
impl Connection {
pub(crate) fn new(inner: LanceConnection) -> Self {
Self { inner: Some(inner) }
}
pub(crate) fn get_inner(&self) -> PyResult<&LanceConnection> {
self.inner
.as_ref()
.ok_or_else(|| PyRuntimeError::new_err("Connection is closed"))
}
}
impl Connection {
fn parse_create_mode_str(mode: &str) -> PyResult<CreateTableMode> {
match mode {
"create" => Ok(CreateTableMode::Create),
"overwrite" => Ok(CreateTableMode::Overwrite),
"exist_ok" => Ok(CreateTableMode::exist_ok(|builder| builder)),
_ => Err(PyValueError::new_err(format!("Invalid mode {}", mode))),
}
}
}
#[pymethods]
impl Connection {
fn __repr__(&self) -> String {
match &self.inner {
Some(inner) => inner.to_string(),
None => "ClosedConnection".to_string(),
}
}
fn is_open(&self) -> bool {
self.inner.is_some()
}
fn close(&mut self) {
self.inner.take();
}
#[getter]
pub fn uri(&self) -> PyResult<String> {
self.get_inner().map(|inner| inner.uri().to_string())
}
#[pyo3(signature = ())]
pub fn get_read_consistency_interval(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
Ok(match inner.read_consistency().await.infer_error()? {
ReadConsistency::Manual => None,
ReadConsistency::Eventual(duration) => Some(duration.as_secs_f64()),
ReadConsistency::Strong => Some(0.0_f64),
})
})
}
#[pyo3(signature = (namespace=vec![], start_after=None, limit=None))]
pub fn table_names(
self_: PyRef<'_, Self>,
namespace: Vec<String>,
start_after: Option<String>,
limit: Option<u32>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
let mut op = inner.table_names();
op = op.namespace(namespace);
if let Some(start_after) = start_after {
op = op.start_after(start_after);
}
if let Some(limit) = limit {
op = op.limit(limit);
}
future_into_py(self_.py(), async move { op.execute().await.infer_error() })
}
#[pyo3(signature = (name, mode, data, namespace=vec![], storage_options=None))]
pub fn create_table<'a>(
self_: PyRef<'a, Self>,
name: String,
mode: &str,
data: Bound<'_, PyAny>,
namespace: Vec<String>,
storage_options: Option<HashMap<String, String>>,
) -> PyResult<Bound<'a, PyAny>> {
let inner = self_.get_inner()?.clone();
let mode = Self::parse_create_mode_str(mode)?;
let batches = ArrowArrayStreamReader::from_pyarrow_bound(&data)?;
let mut builder = inner.create_table(name, batches).mode(mode);
builder = builder.namespace(namespace);
if let Some(storage_options) = storage_options {
builder = builder.storage_options(storage_options);
}
future_into_py(self_.py(), async move {
let table = builder.execute().await.infer_error()?;
Ok(Table::new(table))
})
}
#[pyo3(signature = (name, mode, schema, namespace=vec![], storage_options=None))]
pub fn create_empty_table<'a>(
self_: PyRef<'a, Self>,
name: String,
mode: &str,
schema: Bound<'_, PyAny>,
namespace: Vec<String>,
storage_options: Option<HashMap<String, String>>,
) -> PyResult<Bound<'a, PyAny>> {
let inner = self_.get_inner()?.clone();
let mode = Self::parse_create_mode_str(mode)?;
let schema = Schema::from_pyarrow_bound(&schema)?;
let mut builder = inner.create_empty_table(name, Arc::new(schema)).mode(mode);
builder = builder.namespace(namespace);
if let Some(storage_options) = storage_options {
builder = builder.storage_options(storage_options);
}
future_into_py(self_.py(), async move {
let table = builder.execute().await.infer_error()?;
Ok(Table::new(table))
})
}
#[pyo3(signature = (name, namespace=vec![], storage_options = None, index_cache_size = None))]
pub fn open_table(
self_: PyRef<'_, Self>,
name: String,
namespace: Vec<String>,
storage_options: Option<HashMap<String, String>>,
index_cache_size: Option<u32>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
let mut builder = inner.open_table(name);
builder = builder.namespace(namespace);
if let Some(storage_options) = storage_options {
builder = builder.storage_options(storage_options);
}
if let Some(index_cache_size) = index_cache_size {
builder = builder.index_cache_size(index_cache_size);
}
future_into_py(self_.py(), async move {
let table = builder.execute().await.infer_error()?;
Ok(Table::new(table))
})
}
#[pyo3(signature = (target_table_name, source_uri, target_namespace=vec![], source_version=None, source_tag=None, is_shallow=true))]
pub fn clone_table(
self_: PyRef<'_, Self>,
target_table_name: String,
source_uri: String,
target_namespace: Vec<String>,
source_version: Option<u64>,
source_tag: Option<String>,
is_shallow: bool,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
let mut builder = inner.clone_table(target_table_name, source_uri);
builder = builder.target_namespace(target_namespace);
if let Some(version) = source_version {
builder = builder.source_version(version);
}
if let Some(tag) = source_tag {
builder = builder.source_tag(tag);
}
builder = builder.is_shallow(is_shallow);
future_into_py(self_.py(), async move {
let table = builder.execute().await.infer_error()?;
Ok(Table::new(table))
})
}
#[pyo3(signature = (cur_name, new_name, cur_namespace=vec![], new_namespace=vec![]))]
pub fn rename_table(
self_: PyRef<'_, Self>,
cur_name: String,
new_name: String,
cur_namespace: Vec<String>,
new_namespace: Vec<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
inner
.rename_table(cur_name, new_name, &cur_namespace, &new_namespace)
.await
.infer_error()
})
}
#[pyo3(signature = (name, namespace=vec![]))]
pub fn drop_table(
self_: PyRef<'_, Self>,
name: String,
namespace: Vec<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
inner.drop_table(name, &namespace).await.infer_error()
})
}
#[pyo3(signature = (namespace=vec![],))]
pub fn drop_all_tables(
self_: PyRef<'_, Self>,
namespace: Vec<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
inner.drop_all_tables(&namespace).await.infer_error()
})
}
// Namespace management methods
#[pyo3(signature = (namespace=vec![], page_token=None, limit=None))]
pub fn list_namespaces(
self_: PyRef<'_, Self>,
namespace: Vec<String>,
page_token: Option<String>,
limit: Option<u32>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
use lancedb::database::ListNamespacesRequest;
let request = ListNamespacesRequest {
namespace,
page_token,
limit,
};
inner.list_namespaces(request).await.infer_error()
})
}
#[pyo3(signature = (namespace,))]
pub fn create_namespace(
self_: PyRef<'_, Self>,
namespace: Vec<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
use lancedb::database::CreateNamespaceRequest;
let request = CreateNamespaceRequest { namespace };
inner.create_namespace(request).await.infer_error()
})
}
#[pyo3(signature = (namespace,))]
pub fn drop_namespace(
self_: PyRef<'_, Self>,
namespace: Vec<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
future_into_py(self_.py(), async move {
use lancedb::database::DropNamespaceRequest;
let request = DropNamespaceRequest { namespace };
inner.drop_namespace(request).await.infer_error()
})
}
}
#[pyfunction]
#[pyo3(signature = (uri, api_key=None, region=None, host_override=None, read_consistency_interval=None, client_config=None, storage_options=None, session=None))]
#[allow(clippy::too_many_arguments)]
pub fn connect(
py: Python<'_>,
uri: String,
api_key: Option<String>,
region: Option<String>,
host_override: Option<String>,
read_consistency_interval: Option<f64>,
client_config: Option<PyClientConfig>,
storage_options: Option<HashMap<String, String>>,
session: Option<crate::session::Session>,
) -> PyResult<Bound<'_, PyAny>> {
future_into_py(py, async move {
let mut builder = lancedb::connect(&uri);
if let Some(api_key) = api_key {
builder = builder.api_key(&api_key);
}
if let Some(region) = region {
builder = builder.region(&region);
}
if let Some(host_override) = host_override {
builder = builder.host_override(&host_override);
}
if let Some(read_consistency_interval) = read_consistency_interval {
let read_consistency_interval = Duration::from_secs_f64(read_consistency_interval);
builder = builder.read_consistency_interval(read_consistency_interval);
}
if let Some(storage_options) = storage_options {
builder = builder.storage_options(storage_options);
}
#[cfg(feature = "remote")]
if let Some(client_config) = client_config {
builder = builder.client_config(client_config.into());
}
if let Some(session) = session {
builder = builder.session(session.inner.clone());
}
Ok(Connection::new(builder.execute().await.infer_error()?))
})
}
#[derive(FromPyObject)]
pub struct PyClientConfig {
user_agent: String,
retry_config: Option<PyClientRetryConfig>,
timeout_config: Option<PyClientTimeoutConfig>,
extra_headers: Option<HashMap<String, String>>,
id_delimiter: Option<String>,
tls_config: Option<PyClientTlsConfig>,
header_provider: Option<Py<PyAny>>,
}
#[derive(FromPyObject)]
pub struct PyClientRetryConfig {
retries: Option<u8>,
connect_retries: Option<u8>,
read_retries: Option<u8>,
backoff_factor: Option<f32>,
backoff_jitter: Option<f32>,
statuses: Option<Vec<u16>>,
}
#[derive(FromPyObject)]
pub struct PyClientTimeoutConfig {
timeout: Option<Duration>,
connect_timeout: Option<Duration>,
read_timeout: Option<Duration>,
pool_idle_timeout: Option<Duration>,
}
#[derive(FromPyObject)]
pub struct PyClientTlsConfig {
cert_file: Option<String>,
key_file: Option<String>,
ssl_ca_cert: Option<String>,
assert_hostname: bool,
}
#[cfg(feature = "remote")]
impl From<PyClientRetryConfig> for lancedb::remote::RetryConfig {
fn from(value: PyClientRetryConfig) -> Self {
Self {
retries: value.retries,
connect_retries: value.connect_retries,
read_retries: value.read_retries,
backoff_factor: value.backoff_factor,
backoff_jitter: value.backoff_jitter,
statuses: value.statuses,
}
}
}
#[cfg(feature = "remote")]
impl From<PyClientTimeoutConfig> for lancedb::remote::TimeoutConfig {
fn from(value: PyClientTimeoutConfig) -> Self {
Self {
timeout: value.timeout,
connect_timeout: value.connect_timeout,
read_timeout: value.read_timeout,
pool_idle_timeout: value.pool_idle_timeout,
}
}
}
#[cfg(feature = "remote")]
impl From<PyClientTlsConfig> for lancedb::remote::TlsConfig {
fn from(value: PyClientTlsConfig) -> Self {
Self {
cert_file: value.cert_file,
key_file: value.key_file,
ssl_ca_cert: value.ssl_ca_cert,
assert_hostname: value.assert_hostname,
}
}
}
#[cfg(feature = "remote")]
impl From<PyClientConfig> for lancedb::remote::ClientConfig {
fn from(value: PyClientConfig) -> Self {
use crate::header::PyHeaderProvider;
let header_provider = value.header_provider.map(|provider| {
let py_provider = PyHeaderProvider::new(provider);
Arc::new(py_provider) as Arc<dyn lancedb::remote::HeaderProvider>
});
Self {
user_agent: value.user_agent,
retry_config: value.retry_config.map(Into::into).unwrap_or_default(),
timeout_config: value.timeout_config.map(Into::into).unwrap_or_default(),
extra_headers: value.extra_headers.unwrap_or_default(),
id_delimiter: value.id_delimiter,
tls_config: value.tls_config.map(Into::into),
header_provider,
}
}
}