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feat(python): add DeltaTable.is_deltatable static method (#2662)
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This adds a static method `is_deltatable(path, opts)` to the
`DeltaTable` Python class, which returns `True` if able to
locate a delta table at specified `path` and `False` otherwise.

It does so by reusing the Rust internal `is_delta_table_location()`
via the `DeltaTableBuilder`.

Additionally, this also adds documentation of the usage with
examples for the `DeltaTable.is_deltatable()` method.
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omkar-foss authored and ion-elgreco committed Jul 31, 2024
1 parent 6f39234 commit ceeffd8
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6 changes: 6 additions & 0 deletions crates/core/src/table/builder.rs
Original file line number Diff line number Diff line change
Expand Up @@ -330,6 +330,12 @@ impl DeltaTableBuilder {
}
Ok(table)
}

/// Check if the [`DeltaTable`] exists
pub async fn verify_deltatable_existence(self) -> DeltaResult<bool> {
let table = self.build()?;
table.log_store.is_delta_table_location().await
}
}

enum UriType {
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27 changes: 27 additions & 0 deletions docs/usage/loading-table.md
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Expand Up @@ -59,6 +59,33 @@ For AWS Glue catalog, use AWS environment variables to authenticate.
{'id': [5, 7, 9, 5, 6, 7, 8, 9]}
```

## Verify Table Existence

You can check whether or not a Delta table exists at a particular path by using
the `DeltaTable.is_deltatable()` method.

```python
from deltalake import DeltaTable

table_path = "<path/to/valid/table>"
DeltaTable.is_deltatable(table_path)
# True

invalid_table_path = "<path/to/nonexistent/table>"
DeltaTable.is_deltatable(invalid_table_path)
# False

bucket_table_path = "<path/to/valid/table/in/bucket>"
storage_options = {
"AWS_ACCESS_KEY_ID": "THE_AWS_ACCESS_KEY_ID",
"AWS_SECRET_ACCESS_KEY": "THE_AWS_SECRET_ACCESS_KEY",
...
}
DeltaTable.is_deltatable(bucket_table_path)
# True
```


## Custom Storage Backends

While delta always needs its internal storage backend to work and be
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4 changes: 4 additions & 0 deletions python/deltalake/_internal.pyi
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Expand Up @@ -34,6 +34,10 @@ class RawDeltaTable:
data_catalog_id: Optional[str] = None,
catalog_options: Optional[Dict[str, str]] = None,
) -> str: ...
@staticmethod
def is_deltatable(
table_uri: str, storage_options: Optional[Dict[str, str]]
) -> bool: ...
def table_uri(self) -> str: ...
def version(self) -> int: ...
def get_latest_version(self) -> int: ...
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15 changes: 15 additions & 0 deletions python/deltalake/table.py
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Expand Up @@ -359,6 +359,21 @@ def from_data_catalog(
table_uri=table_uri, version=version, log_buffer_size=log_buffer_size
)

@staticmethod
def is_deltatable(
table_uri: str, storage_options: Optional[Dict[str, str]] = None
) -> bool:
"""
Returns True if a Delta Table exists at specified path.
Returns False otherwise.
Args:
table_uri: the path of the DeltaTable
storage_options: a dictionary of the options to use for the
storage backend
"""
return RawDeltaTable.is_deltatable(table_uri, storage_options)

@classmethod
def create(
cls,
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26 changes: 26 additions & 0 deletions python/docs/source/usage.rst
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Expand Up @@ -90,6 +90,32 @@ For Databricks Unity Catalog authentication, use environment variables:
.. _`azure options`: https://docs.rs/object_store/latest/object_store/azure/enum.AzureConfigKey.html#variants
.. _`gcs options`: https://docs.rs/object_store/latest/object_store/gcp/enum.GoogleConfigKey.html#variants

Verify Table Existence
~~~~~~~~~~~~~~~~~~~~~~

You can check whether or not a Delta table exists at a particular path by using
the :meth:`DeltaTable.is_deltatable()` method.

.. code-block:: python
from deltalake import DeltaTable
table_path = "<path/to/valid/table>"
DeltaTable.is_deltatable(table_path)
# True
invalid_table_path = "<path/to/nonexistent/table>"
DeltaTable.is_deltatable(invalid_table_path)
# False
bucket_table_path = "<path/to/valid/table/in/bucket>"
storage_options = {
"AWS_ACCESS_KEY_ID": "THE_AWS_ACCESS_KEY_ID",
"AWS_SECRET_ACCESS_KEY": "THE_AWS_SECRET_ACCESS_KEY",
...
}
DeltaTable.is_deltatable(bucket_table_path)
# True
Custom Storage Backends
~~~~~~~~~~~~~~~~~~~~~~~

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20 changes: 20 additions & 0 deletions python/src/lib.rs
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Expand Up @@ -136,6 +136,26 @@ impl RawDeltaTable {
})
}

#[pyo3(signature = (table_uri, storage_options = None))]
#[staticmethod]
pub fn is_deltatable(
table_uri: &str,
storage_options: Option<HashMap<String, String>>,
) -> PyResult<bool> {
let mut builder = deltalake::DeltaTableBuilder::from_uri(table_uri);
if let Some(storage_options) = storage_options {
builder = builder.with_storage_options(storage_options)
}
let res = rt()
.block_on(builder.verify_deltatable_existence())
.map_err(PythonError::from);
match res {
Ok(true) => Ok(true),
Ok(false) => Ok(false),
Err(err) => Err(err)?,
}
}

pub fn table_uri(&self) -> PyResult<String> {
Ok(self._table.table_uri())
}
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26 changes: 26 additions & 0 deletions python/tests/test_table_read.py
Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
import os
from datetime import date, datetime, timezone
from pathlib import Path
from random import random
from threading import Barrier, Thread
from types import SimpleNamespace
from typing import Any, List, Tuple
Expand Down Expand Up @@ -798,3 +799,28 @@ def test_read_table_last_checkpoint_not_updated():
dt = DeltaTable("../crates/test/tests/data/table_failed_last_checkpoint_update")

assert dt.version() == 3


def test_is_deltatable_valid_path():
table_path = "../crates/test/tests/data/simple_table"
assert DeltaTable.is_deltatable(table_path)


def test_is_deltatable_invalid_path():
# Nonce ensures that the table_path always remains an invalid table path.
nonce = int(random() * 10000)
table_path = "../crates/test/tests/data/simple_table_invalid_%s" % nonce
assert not DeltaTable.is_deltatable(table_path)


def test_is_deltatable_with_storage_opts():
table_path = "../crates/test/tests/data/simple_table"
storage_options = {
"AWS_ACCESS_KEY_ID": "THE_AWS_ACCESS_KEY_ID",
"AWS_SECRET_ACCESS_KEY": "THE_AWS_SECRET_ACCESS_KEY",
"AWS_ALLOW_HTTP": "true",
"AWS_S3_ALLOW_UNSAFE_RENAME": "true",
"AWS_S3_LOCKING_PROVIDER": "dynamodb",
"DELTA_DYNAMO_TABLE_NAME": "custom_table_name",
}
assert DeltaTable.is_deltatable(table_path, storage_options=storage_options)

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