Files
lancedb/python/src/table.rs
Will Jones ad09234d59 feat: allow setting train=False and name on indices (#2586)
Enables two new parameters when building indices:

* `name`: Allows explicitly setting a name on the index. Default is
`{col_name}_idx`.
* `train` (default `True`): When set to `False`, an empty index will be
immediately created.

The upgrade of Lance means there are also additional behaviors from
cd76a993b8:

* When a scalar index is created on a Table, it will be kept around even
if all rows are deleted or updated.
* Scalar indices can be created on empty tables. They will default to
`train=False` if the table is empty.

---------

Co-authored-by: Weston Pace <weston.pace@gmail.com>
2025-08-15 14:00:26 -07:00

906 lines
29 KiB
Rust

// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
use std::{collections::HashMap, sync::Arc};
use crate::{
error::PythonErrorExt,
index::{extract_index_params, IndexConfig},
query::{Query, TakeQuery},
};
use arrow::{
datatypes::{DataType, Schema},
ffi_stream::ArrowArrayStreamReader,
pyarrow::{FromPyArrow, PyArrowType, ToPyArrow},
};
use lancedb::table::{
AddDataMode, ColumnAlteration, Duration, NewColumnTransform, OptimizeAction, OptimizeOptions,
Table as LanceDbTable,
};
use pyo3::{
exceptions::{PyKeyError, PyRuntimeError, PyValueError},
pyclass, pymethods,
types::{IntoPyDict, PyAnyMethods, PyDict, PyDictMethods},
Bound, FromPyObject, PyAny, PyRef, PyResult, Python,
};
use pyo3_async_runtimes::tokio::future_into_py;
/// Statistics about a compaction operation.
#[pyclass(get_all)]
#[derive(Clone, Debug)]
pub struct CompactionStats {
/// The number of fragments removed
pub fragments_removed: u64,
/// The number of new, compacted fragments added
pub fragments_added: u64,
/// The number of data files removed
pub files_removed: u64,
/// The number of new, compacted data files added
pub files_added: u64,
}
/// Statistics about a cleanup operation
#[pyclass(get_all)]
#[derive(Clone, Debug)]
pub struct RemovalStats {
/// The number of bytes removed
pub bytes_removed: u64,
/// The number of old versions removed
pub old_versions_removed: u64,
}
/// Statistics about an optimize operation
#[pyclass(get_all)]
#[derive(Clone, Debug)]
pub struct OptimizeStats {
/// Statistics about the compaction operation
pub compaction: CompactionStats,
/// Statistics about the removal operation
pub prune: RemovalStats,
}
#[pyclass(get_all)]
#[derive(Clone, Debug)]
pub struct UpdateResult {
pub rows_updated: u64,
pub version: u64,
}
#[pymethods]
impl UpdateResult {
pub fn __repr__(&self) -> String {
format!(
"UpdateResult(rows_updated={}, version={})",
self.rows_updated, self.version
)
}
}
impl From<lancedb::table::UpdateResult> for UpdateResult {
fn from(result: lancedb::table::UpdateResult) -> Self {
Self {
rows_updated: result.rows_updated,
version: result.version,
}
}
}
#[pyclass(get_all)]
#[derive(Clone, Debug)]
pub struct AddResult {
pub version: u64,
}
#[pymethods]
impl AddResult {
pub fn __repr__(&self) -> String {
format!("AddResult(version={})", self.version)
}
}
impl From<lancedb::table::AddResult> for AddResult {
fn from(result: lancedb::table::AddResult) -> Self {
Self {
version: result.version,
}
}
}
#[pyclass(get_all)]
#[derive(Clone, Debug)]
pub struct DeleteResult {
pub version: u64,
}
#[pymethods]
impl DeleteResult {
pub fn __repr__(&self) -> String {
format!("DeleteResult(version={})", self.version)
}
}
impl From<lancedb::table::DeleteResult> for DeleteResult {
fn from(result: lancedb::table::DeleteResult) -> Self {
Self {
version: result.version,
}
}
}
#[pyclass(get_all)]
#[derive(Clone, Debug)]
pub struct MergeResult {
pub version: u64,
pub num_updated_rows: u64,
pub num_inserted_rows: u64,
pub num_deleted_rows: u64,
}
#[pymethods]
impl MergeResult {
pub fn __repr__(&self) -> String {
format!(
"MergeResult(version={}, num_updated_rows={}, num_inserted_rows={}, num_deleted_rows={})",
self.version,
self.num_updated_rows,
self.num_inserted_rows,
self.num_deleted_rows
)
}
}
impl From<lancedb::table::MergeResult> for MergeResult {
fn from(result: lancedb::table::MergeResult) -> Self {
Self {
version: result.version,
num_updated_rows: result.num_updated_rows,
num_inserted_rows: result.num_inserted_rows,
num_deleted_rows: result.num_deleted_rows,
}
}
}
#[pyclass(get_all)]
#[derive(Clone, Debug)]
pub struct AddColumnsResult {
pub version: u64,
}
#[pymethods]
impl AddColumnsResult {
pub fn __repr__(&self) -> String {
format!("AddColumnsResult(version={})", self.version)
}
}
impl From<lancedb::table::AddColumnsResult> for AddColumnsResult {
fn from(result: lancedb::table::AddColumnsResult) -> Self {
Self {
version: result.version,
}
}
}
#[pyclass(get_all)]
#[derive(Clone, Debug)]
pub struct AlterColumnsResult {
pub version: u64,
}
#[pymethods]
impl AlterColumnsResult {
pub fn __repr__(&self) -> String {
format!("AlterColumnsResult(version={})", self.version)
}
}
impl From<lancedb::table::AlterColumnsResult> for AlterColumnsResult {
fn from(result: lancedb::table::AlterColumnsResult) -> Self {
Self {
version: result.version,
}
}
}
#[pyclass(get_all)]
#[derive(Clone, Debug)]
pub struct DropColumnsResult {
pub version: u64,
}
#[pymethods]
impl DropColumnsResult {
pub fn __repr__(&self) -> String {
format!("DropColumnsResult(version={})", self.version)
}
}
impl From<lancedb::table::DropColumnsResult> for DropColumnsResult {
fn from(result: lancedb::table::DropColumnsResult) -> Self {
Self {
version: result.version,
}
}
}
#[pyclass]
pub struct Table {
// We keep a copy of the name to use if the inner table is dropped
name: String,
inner: Option<LanceDbTable>,
}
#[pymethods]
impl OptimizeStats {
pub fn __repr__(&self) -> String {
format!(
"OptimizeStats(compaction={:?}, prune={:?})",
self.compaction, self.prune
)
}
}
impl Table {
pub(crate) fn new(inner: LanceDbTable) -> Self {
Self {
name: inner.name().to_string(),
inner: Some(inner),
}
}
}
impl Table {
fn inner_ref(&self) -> PyResult<&LanceDbTable> {
self.inner
.as_ref()
.ok_or_else(|| PyRuntimeError::new_err(format!("Table {} is closed", self.name)))
}
}
#[pymethods]
impl Table {
pub fn name(&self) -> String {
self.name.clone()
}
/// Returns True if the table is open, False if it is closed.
pub fn is_open(&self) -> bool {
self.inner.is_some()
}
/// Closes the table, releasing any resources associated with it.
pub fn close(&mut self) {
self.inner.take();
}
pub fn schema(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
let schema = inner.schema().await.infer_error()?;
Python::with_gil(|py| schema.to_pyarrow(py))
})
}
pub fn add<'a>(
self_: PyRef<'a, Self>,
data: Bound<'_, PyAny>,
mode: String,
) -> PyResult<Bound<'a, PyAny>> {
let batches = ArrowArrayStreamReader::from_pyarrow_bound(&data)?;
let mut op = self_.inner_ref()?.add(batches);
if mode == "append" {
op = op.mode(AddDataMode::Append);
} else if mode == "overwrite" {
op = op.mode(AddDataMode::Overwrite);
} else {
return Err(PyValueError::new_err(format!("Invalid mode: {}", mode)));
}
future_into_py(self_.py(), async move {
let result = op.execute().await.infer_error()?;
Ok(AddResult::from(result))
})
}
pub fn delete(self_: PyRef<'_, Self>, condition: String) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
let result = inner.delete(&condition).await.infer_error()?;
Ok(DeleteResult::from(result))
})
}
#[pyo3(signature = (updates, r#where=None))]
pub fn update<'a>(
self_: PyRef<'a, Self>,
updates: &Bound<'_, PyDict>,
r#where: Option<String>,
) -> PyResult<Bound<'a, PyAny>> {
let mut op = self_.inner_ref()?.update();
if let Some(only_if) = r#where {
op = op.only_if(only_if);
}
for (column_name, value) in updates.into_iter() {
let column_name: String = column_name.extract()?;
let value: String = value.extract()?;
op = op.column(column_name, value);
}
future_into_py(self_.py(), async move {
let result = op.execute().await.infer_error()?;
Ok(UpdateResult::from(result))
})
}
#[pyo3(signature = (filter=None))]
pub fn count_rows(
self_: PyRef<'_, Self>,
filter: Option<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
inner.count_rows(filter).await.infer_error()
})
}
#[pyo3(signature = (column, index=None, replace=None, wait_timeout=None, *, name=None, train=None))]
pub fn create_index<'a>(
self_: PyRef<'a, Self>,
column: String,
index: Option<Bound<'_, PyAny>>,
replace: Option<bool>,
wait_timeout: Option<Bound<'_, PyAny>>,
name: Option<String>,
train: Option<bool>,
) -> PyResult<Bound<'a, PyAny>> {
let index = extract_index_params(&index)?;
let timeout = wait_timeout.map(|t| t.extract::<std::time::Duration>().unwrap());
let mut op = self_
.inner_ref()?
.create_index_with_timeout(&[column], index, timeout);
if let Some(replace) = replace {
op = op.replace(replace);
}
if let Some(name) = name {
op = op.name(name);
}
if let Some(train) = train {
op = op.train(train);
}
future_into_py(self_.py(), async move {
op.execute().await.infer_error()?;
Ok(())
})
}
pub fn drop_index(self_: PyRef<'_, Self>, index_name: String) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
inner.drop_index(&index_name).await.infer_error()?;
Ok(())
})
}
pub fn wait_for_index<'a>(
self_: PyRef<'a, Self>,
index_names: Vec<String>,
timeout: Bound<'_, PyAny>,
) -> PyResult<Bound<'a, PyAny>> {
let inner = self_.inner_ref()?.clone();
let timeout = timeout.extract::<std::time::Duration>()?;
future_into_py(self_.py(), async move {
let index_refs = index_names
.iter()
.map(String::as_str)
.collect::<Vec<&str>>();
inner
.wait_for_index(&index_refs, timeout)
.await
.infer_error()?;
Ok(())
})
}
pub fn prewarm_index(self_: PyRef<'_, Self>, index_name: String) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
inner.prewarm_index(&index_name).await.infer_error()?;
Ok(())
})
}
pub fn list_indices(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
Ok(inner
.list_indices()
.await
.infer_error()?
.into_iter()
.map(IndexConfig::from)
.collect::<Vec<_>>())
})
}
pub fn index_stats(self_: PyRef<'_, Self>, index_name: String) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
let stats = inner.index_stats(&index_name).await.infer_error()?;
if let Some(stats) = stats {
Python::with_gil(|py| {
let dict = PyDict::new(py);
dict.set_item("num_indexed_rows", stats.num_indexed_rows)?;
dict.set_item("num_unindexed_rows", stats.num_unindexed_rows)?;
dict.set_item("index_type", stats.index_type.to_string())?;
if let Some(distance_type) = stats.distance_type {
dict.set_item("distance_type", distance_type.to_string())?;
}
if let Some(num_indices) = stats.num_indices {
dict.set_item("num_indices", num_indices)?;
}
if let Some(loss) = stats.loss {
dict.set_item("loss", loss)?;
}
Ok(Some(dict.unbind()))
})
} else {
Ok(None)
}
})
}
pub fn stats(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
let stats = inner.stats().await.infer_error()?;
Python::with_gil(|py| {
let dict = PyDict::new(py);
dict.set_item("total_bytes", stats.total_bytes)?;
dict.set_item("num_rows", stats.num_rows)?;
dict.set_item("num_indices", stats.num_indices)?;
let fragment_stats = PyDict::new(py);
fragment_stats.set_item("num_fragments", stats.fragment_stats.num_fragments)?;
fragment_stats.set_item(
"num_small_fragments",
stats.fragment_stats.num_small_fragments,
)?;
let fragment_lengths = PyDict::new(py);
fragment_lengths.set_item("min", stats.fragment_stats.lengths.min)?;
fragment_lengths.set_item("max", stats.fragment_stats.lengths.max)?;
fragment_lengths.set_item("mean", stats.fragment_stats.lengths.mean)?;
fragment_lengths.set_item("p25", stats.fragment_stats.lengths.p25)?;
fragment_lengths.set_item("p50", stats.fragment_stats.lengths.p50)?;
fragment_lengths.set_item("p75", stats.fragment_stats.lengths.p75)?;
fragment_lengths.set_item("p99", stats.fragment_stats.lengths.p99)?;
fragment_stats.set_item("lengths", fragment_lengths)?;
dict.set_item("fragment_stats", fragment_stats)?;
Ok(Some(dict.unbind()))
})
})
}
pub fn __repr__(&self) -> String {
match &self.inner {
None => format!("ClosedTable({})", self.name),
Some(inner) => inner.to_string(),
}
}
pub fn version(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner_ref()?.clone();
future_into_py(
self_.py(),
async move { inner.version().await.infer_error() },
)
}
pub fn list_versions(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
let versions = inner.list_versions().await.infer_error()?;
let versions_as_dict = Python::with_gil(|py| {
versions
.iter()
.map(|v| {
let dict = PyDict::new(py);
dict.set_item("version", v.version).unwrap();
dict.set_item(
"timestamp",
v.timestamp.timestamp_nanos_opt().unwrap_or_default(),
)
.unwrap();
let tup: Vec<(&String, &String)> = v.metadata.iter().collect();
dict.set_item("metadata", tup.into_py_dict(py)?).unwrap();
Ok(dict.unbind())
})
.collect::<PyResult<Vec<_>>>()
});
versions_as_dict
})
}
pub fn checkout(self_: PyRef<'_, Self>, version: LanceVersion) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner_ref()?.clone();
let py = self_.py();
future_into_py(py, async move {
match version {
LanceVersion::Version(version_num) => {
inner.checkout(version_num).await.infer_error()
}
LanceVersion::Tag(tag) => inner.checkout_tag(&tag).await.infer_error(),
}
})
}
pub fn checkout_latest(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
inner.checkout_latest().await.infer_error()
})
}
#[pyo3(signature = (version=None))]
pub fn restore(
self_: PyRef<'_, Self>,
version: Option<LanceVersion>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner_ref()?.clone();
let py = self_.py();
future_into_py(py, async move {
if let Some(version) = version {
match version {
LanceVersion::Version(num) => inner.checkout(num).await.infer_error()?,
LanceVersion::Tag(tag) => inner.checkout_tag(&tag).await.infer_error()?,
}
}
inner.restore().await.infer_error()
})
}
pub fn query(&self) -> Query {
Query::new(self.inner_ref().unwrap().query())
}
#[getter]
pub fn tags(&self) -> PyResult<Tags> {
Ok(Tags::new(self.inner_ref()?.clone()))
}
#[pyo3(signature = (offsets))]
pub fn take_offsets(self_: PyRef<'_, Self>, offsets: Vec<u64>) -> PyResult<TakeQuery> {
Ok(TakeQuery::new(
self_.inner_ref()?.clone().take_offsets(offsets),
))
}
#[pyo3(signature = (row_ids))]
pub fn take_row_ids(self_: PyRef<'_, Self>, row_ids: Vec<u64>) -> PyResult<TakeQuery> {
Ok(TakeQuery::new(
self_.inner_ref()?.clone().take_row_ids(row_ids),
))
}
/// Optimize the on-disk data by compacting and pruning old data, for better performance.
#[pyo3(signature = (cleanup_since_ms=None, delete_unverified=None, retrain=None))]
pub fn optimize(
self_: PyRef<'_, Self>,
cleanup_since_ms: Option<u64>,
delete_unverified: Option<bool>,
retrain: Option<bool>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner_ref()?.clone();
let older_than = if let Some(ms) = cleanup_since_ms {
if ms > i64::MAX as u64 {
return Err(PyValueError::new_err(format!(
"cleanup_since_ms must be between {} and -{}",
i32::MAX,
i32::MAX
)));
}
Duration::try_milliseconds(ms as i64)
} else {
None
};
future_into_py(self_.py(), async move {
let compaction_stats = inner
.optimize(OptimizeAction::Compact {
options: lancedb::table::CompactionOptions::default(),
remap_options: None,
})
.await
.infer_error()?
.compaction
.unwrap();
let prune_stats = inner
.optimize(OptimizeAction::Prune {
older_than,
delete_unverified,
error_if_tagged_old_versions: None,
})
.await
.infer_error()?
.prune
.unwrap();
inner
.optimize(lancedb::table::OptimizeAction::Index(match retrain {
Some(true) => OptimizeOptions::retrain(),
_ => OptimizeOptions::default(),
}))
.await
.infer_error()?;
Ok(OptimizeStats {
compaction: CompactionStats {
files_added: compaction_stats.files_added as u64,
files_removed: compaction_stats.files_removed as u64,
fragments_added: compaction_stats.fragments_added as u64,
fragments_removed: compaction_stats.fragments_removed as u64,
},
prune: RemovalStats {
bytes_removed: prune_stats.bytes_removed,
old_versions_removed: prune_stats.old_versions,
},
})
})
}
pub fn execute_merge_insert<'a>(
self_: PyRef<'a, Self>,
data: Bound<'a, PyAny>,
parameters: MergeInsertParams,
) -> PyResult<Bound<'a, PyAny>> {
let batches: ArrowArrayStreamReader = ArrowArrayStreamReader::from_pyarrow_bound(&data)?;
let on = parameters.on.iter().map(|s| s.as_str()).collect::<Vec<_>>();
let mut builder = self_.inner_ref()?.merge_insert(&on);
if parameters.when_matched_update_all {
builder.when_matched_update_all(parameters.when_matched_update_all_condition);
}
if parameters.when_not_matched_insert_all {
builder.when_not_matched_insert_all();
}
if parameters.when_not_matched_by_source_delete {
builder
.when_not_matched_by_source_delete(parameters.when_not_matched_by_source_condition);
}
if let Some(timeout) = parameters.timeout {
builder.timeout(timeout);
}
future_into_py(self_.py(), async move {
let res = builder.execute(Box::new(batches)).await.infer_error()?;
Ok(MergeResult::from(res))
})
}
pub fn uses_v2_manifest_paths(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
inner
.as_native()
.ok_or_else(|| PyValueError::new_err("This cannot be run on a remote table"))?
.uses_v2_manifest_paths()
.await
.infer_error()
})
}
pub fn migrate_manifest_paths_v2(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
inner
.as_native()
.ok_or_else(|| PyValueError::new_err("This cannot be run on a remote table"))?
.migrate_manifest_paths_v2()
.await
.infer_error()
})
}
pub fn add_columns(
self_: PyRef<'_, Self>,
definitions: Vec<(String, String)>,
) -> PyResult<Bound<'_, PyAny>> {
let definitions = NewColumnTransform::SqlExpressions(definitions);
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
let result = inner.add_columns(definitions, None).await.infer_error()?;
Ok(AddColumnsResult::from(result))
})
}
pub fn add_columns_with_schema(
self_: PyRef<'_, Self>,
schema: PyArrowType<Schema>,
) -> PyResult<Bound<'_, PyAny>> {
let arrow_schema = &schema.0;
let transform = NewColumnTransform::AllNulls(Arc::new(arrow_schema.clone()));
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
let result = inner.add_columns(transform, None).await.infer_error()?;
Ok(AddColumnsResult::from(result))
})
}
pub fn alter_columns<'a>(
self_: PyRef<'a, Self>,
alterations: Vec<Bound<PyDict>>,
) -> PyResult<Bound<'a, PyAny>> {
let alterations = alterations
.iter()
.map(|alteration| {
let path = alteration
.get_item("path")?
.ok_or_else(|| PyValueError::new_err("Missing path"))?
.extract()?;
let rename = {
// We prefer rename, but support name for backwards compatibility
let rename = if let Ok(Some(rename)) = alteration.get_item("rename") {
Some(rename)
} else {
alteration.get_item("name")?
};
rename.map(|name| name.extract()).transpose()?
};
let nullable = alteration
.get_item("nullable")?
.map(|val| val.extract())
.transpose()?;
let data_type = alteration
.get_item("data_type")?
.map(|val| DataType::from_pyarrow_bound(&val))
.transpose()?;
Ok(ColumnAlteration {
path,
rename,
nullable,
data_type,
})
})
.collect::<PyResult<Vec<_>>>()?;
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
let result = inner.alter_columns(&alterations).await.infer_error()?;
Ok(AlterColumnsResult::from(result))
})
}
pub fn drop_columns(self_: PyRef<Self>, columns: Vec<String>) -> PyResult<Bound<PyAny>> {
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
let column_refs = columns.iter().map(String::as_str).collect::<Vec<&str>>();
let result = inner.drop_columns(&column_refs).await.infer_error()?;
Ok(DropColumnsResult::from(result))
})
}
pub fn replace_field_metadata<'a>(
self_: PyRef<'a, Self>,
field_name: String,
metadata: &Bound<'_, PyDict>,
) -> PyResult<Bound<'a, PyAny>> {
let mut new_metadata = HashMap::<String, String>::new();
for (column_name, value) in metadata.into_iter() {
let key: String = column_name.extract()?;
let value: String = value.extract()?;
new_metadata.insert(key, value);
}
let inner = self_.inner_ref()?.clone();
future_into_py(self_.py(), async move {
let native_tbl = inner
.as_native()
.ok_or_else(|| PyValueError::new_err("This cannot be run on a remote table"))?;
let schema = native_tbl.manifest().await.infer_error()?.schema;
let field = schema
.field(&field_name)
.ok_or_else(|| PyKeyError::new_err(format!("Field {} not found", field_name)))?;
native_tbl
.replace_field_metadata(vec![(field.id as u32, new_metadata)])
.await
.infer_error()?;
Ok(())
})
}
}
#[derive(FromPyObject)]
pub enum LanceVersion {
Version(u64),
Tag(String),
}
#[derive(FromPyObject)]
#[pyo3(from_item_all)]
pub struct MergeInsertParams {
on: Vec<String>,
when_matched_update_all: bool,
when_matched_update_all_condition: Option<String>,
when_not_matched_insert_all: bool,
when_not_matched_by_source_delete: bool,
when_not_matched_by_source_condition: Option<String>,
timeout: Option<std::time::Duration>,
}
#[pyclass]
pub struct Tags {
inner: LanceDbTable,
}
impl Tags {
pub fn new(table: LanceDbTable) -> Self {
Self { inner: table }
}
}
#[pymethods]
impl Tags {
pub fn list(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner.clone();
future_into_py(self_.py(), async move {
let tags = inner.tags().await.infer_error()?;
let res = tags.list().await.infer_error()?;
Python::with_gil(|py| {
let py_dict = PyDict::new(py);
for (key, contents) in res {
let value_dict = PyDict::new(py);
value_dict.set_item("version", contents.version)?;
value_dict.set_item("manifest_size", contents.manifest_size)?;
py_dict.set_item(key, value_dict)?;
}
Ok(py_dict.unbind())
})
})
}
pub fn get_version(self_: PyRef<'_, Self>, tag: String) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.inner.clone();
future_into_py(self_.py(), async move {
let tags = inner.tags().await.infer_error()?;
let res = tags.get_version(tag.as_str()).await.infer_error()?;
Ok(res)
})
}
pub fn create(self_: PyRef<Self>, tag: String, version: u64) -> PyResult<Bound<PyAny>> {
let inner = self_.inner.clone();
future_into_py(self_.py(), async move {
let mut tags = inner.tags().await.infer_error()?;
tags.create(tag.as_str(), version).await.infer_error()?;
Ok(())
})
}
pub fn delete(self_: PyRef<Self>, tag: String) -> PyResult<Bound<PyAny>> {
let inner = self_.inner.clone();
future_into_py(self_.py(), async move {
let mut tags = inner.tags().await.infer_error()?;
tags.delete(tag.as_str()).await.infer_error()?;
Ok(())
})
}
pub fn update(self_: PyRef<Self>, tag: String, version: u64) -> PyResult<Bound<PyAny>> {
let inner = self_.inner.clone();
future_into_py(self_.py(), async move {
let mut tags = inner.tags().await.infer_error()?;
tags.update(tag.as_str(), version).await.infer_error()?;
Ok(())
})
}
}