feat(python): add DeltaTable.is_deltatable static method (#2662)

crates/core/src/table/mod.rs

@@ -287,6 +287,11 @@ impl DeltaTable {
         self.log_store.object_store()
     }
 
+    /// Check if the [`DeltaTable`] exists
+    pub async fn verify_deltatable_existence(&self) -> DeltaResult<bool> {
+        self.log_store.is_delta_table_location().await
+    }
+
     /// The URI of the underlying data
     pub fn table_uri(&self) -> String {
         self.log_store.root_uri()

docs/usage/loading-table.md

@@ -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

python/deltalake/_internal.pyi

@@ -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: ...

python/deltalake/table.py

@@ -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,

python/docs/source/usage.rst

@@ -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
 ~~~~~~~~~~~~~~~~~~~~~~~
 

python/src/lib.rs

@@ -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)
+        }
+        Ok(rt()
+            .block_on(async {
+                match builder.build() {
+                    Ok(table) => table.verify_deltatable_existence().await,
+                    Err(err) => Err(err),
+                }
+            })
+            .map_err(PythonError::from)?)
+    }
+
     pub fn table_uri(&self) -> PyResult<String> {
         Ok(self._table.table_uri())
     }

python/tests/test_table_read.py

@@ -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
@@ -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)