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index ef6fa9f..c2327e5 100644
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diff --git a/Cargo.toml b/Cargo.toml
new file mode 100644
index 0000000..e20c12a
--- /dev/null
+++ b/Cargo.toml
@@ -0,0 +1,36 @@
+[package]
+name = "bqredis"
+version = "0.1.0"
+edition = "2021"
+
+[lib]
+name = "_bqredis"
+crate-type = ["cdylib"]
+
+[dependencies]
+# Python bindings
+pyo3 = { version = "0.28", features = ["extension-module"] }
+pyo3-arrow = "0.17"
+
+# Async runtime
+tokio = { version = "1", features = ["full"] }
+futures = "0.3"
+
+# Redis
+redis = { version = "0.26", features = ["tokio-comp"] }
+
+# BigQuery
+google-cloud-bigquery = { package = "gcloud-bigquery", version = "1.6" }
+google-cloud-googleapis = { package = "gcloud-googleapis", version = "1.3", features = ["bigquery"] }
+google-cloud-gax = { package = "gcloud-gax", version = "1.4" }
+google-cloud-auth = { package = "gcloud-auth", version = "1.3" }
+
+# Arrow
+arrow = { version = "58", features = ["ipc"] }
+
+# Utilities
+sha2 = "0.10"
+hex = "0.4"
+chrono = { version = "0.4", features = ["serde"] }
+thiserror = "1"
+tracing = "0.1"
diff --git a/bqredis/__init__.py b/bqredis/__init__.py
index dae0092..0b848ee 100644
--- a/bqredis/__init__.py
+++ b/bqredis/__init__.py
@@ -1,350 +1,13 @@
-"""Implementation of a Redis BigQuery cache."""
+"""Redis-backed BigQuery query cache, implemented in Rust.
 
-import concurrent.futures
-import datetime
-import hashlib
-import io
-import logging
-import threading
-import typing
+All BigQuery I/O and threading runs in Rust without holding the Python GIL.
+Results are returned as ``pyarrow.Table`` objects.
 
-import pyarrow.ipc
-import redis
-from google.cloud import bigquery
-from google.cloud import bigquery_storage_v1 as bq_storage
+Authentication uses Application Default Credentials (ADC). Run:
+    gcloud auth application-default login
+or set GOOGLE_APPLICATION_CREDENTIALS before instantiating BQRedis.
+"""
 
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.DEBUG)
+from bqredis._bqredis import BQRedis
 
-
-class _QueryResult:
-    key: str
-    query_time: datetime.datetime
-    serialized_schema: bytes
-    serialized_data: io.BytesIO
-    records: typing.Any
-
-    def __init__(
-        self,
-        key: str,
-        query_time: datetime.datetime,
-        serialized_schema: bytes,
-        serialized_data: io.BytesIO,
-    ):
-        self.key = key
-        self.query_time = query_time
-        self.serialized_schema = serialized_schema
-        self.serialized_data = serialized_data
-        self.records = None
-
-
-def _read_pyarrow_table(
-    serialized_schema: bytes, serialized_data: bytes | io.BytesIO | None
-) -> pyarrow.Table:
-    # TODO: Stop copying data!
-    schema = pyarrow.ipc.read_schema(
-        pyarrow.BufferReader(serialized_schema).read_buffer()
-    )
-    if serialized_data is None:
-        return pyarrow.Table.from_pylist([], schema)
-    if isinstance(serialized_data, bytes) and len(serialized_data) == 0:
-        return pyarrow.Table.from_pylist([], schema)
-    if (
-        isinstance(serialized_data, io.BytesIO)
-        and serialized_data.getbuffer().nbytes == 0
-    ):
-        return pyarrow.Table.from_pylist([], schema)
-    all_data = io.BytesIO()
-    all_data.write(serialized_schema)
-    if isinstance(serialized_data, io.BytesIO):
-        all_data.write(serialized_data.getbuffer())
-    else:
-        all_data.write(serialized_data)
-
-    with pyarrow.ipc.open_stream(
-        pyarrow.BufferReader(all_data.getbuffer()).read_buffer()
-    ) as reader:
-        return reader.read_all()
-
-
-class BQRedis:
-    """A class to cache BigQuery results in Redis.
-
-    This should be instantiated as a singleton, as it maintains a
-    ThreadPoolExecutor. This allows concurrent query execution and caching
-    across multiple instances which share a redis connection. Additionally,
-    each instance maintains at most one inflight connection per query to
-    BigQuery.
-    """
-
-    def __init__(
-        self,
-        redis_client: redis.Redis,
-        executor: concurrent.futures.ThreadPoolExecutor | None = None,
-        bigquery_client: bigquery.Client | None = None,
-        bigquery_storage_client: bq_storage.BigQueryReadClient | None = None,
-        redis_key_prefix: str = "bigquery_cache:",
-        redis_cache_ttl_sec: int = 3600,  # 1 hour
-        redis_background_refresh_ttl_sec: int = 300,  # 5 minutes
-        max_stream_count: int | None = None,
-    ):
-        self.bigquery_client = bigquery_client or bigquery.Client()
-        self.bigquery_storage_client = (
-            bigquery_storage_client or bq_storage.BigQueryReadClient()
-        )
-        self.redis_client = redis_client
-        # This executor is used for bigquery, where a lot of actual processing happens.
-        self.executor = executor or concurrent.futures.ThreadPoolExecutor()
-        # This executor is used to make it convenient to generate an async interface.
-        # It will have much cheaper processing.
-        max_workers: int | None = getattr(self.executor, "_max_workers")
-        if max_workers is not None:
-            max_workers *= 2
-        self.frontend_executor = concurrent.futures.ThreadPoolExecutor(
-            max_workers=max_workers
-        )
-        self.redis_key_prefix = redis_key_prefix
-        self.redis_cache_ttl = redis_cache_ttl_sec
-        self.redis_background_refresh_ttl = redis_background_refresh_ttl_sec
-        self.max_stream_count = max_stream_count
-        self.inflight_requests: dict[str, concurrent.futures.Future[_QueryResult]] = {}
-        # This lock exists so we can avoid launching multiple inflight requests for the same
-        # query while another parallel request is actively queuing. Because this is a weakref
-        # dictionary, the lock does not help protect against deletions, so accessing values
-        # from the inflight_requests dict need to be atomic (e.g. a direct get, or a try/except)
-        # instead of first checking for existence and then accessing.
-        self.inflight_requests_lock = threading.Lock()
-
-    def convert_arrow_to_output_format(self, records: pyarrow.Table) -> typing.Any:
-        """Convert the pyarrow RecordBatch to the desired output format."""
-        # This method should be overridden in subclasses to convert
-        # the RecordBatch to the desired output format.
-        # The base implementation just returns the RecordBatch itself.
-        return records
-
-    def _submit_query(
-        self, query: str, key: str
-    ) -> concurrent.futures.Future[_QueryResult]:
-        """Only have one instance of a specific query inflight at a time."""
-        with self.inflight_requests_lock:
-            inflight_request = self.inflight_requests.get(key)
-            if inflight_request is not None:
-                logger.debug("Re-used inflight request for key: %s", key)
-                return inflight_request
-            logger.debug("Dispatching new inflight request for key: %s", key)
-            new_request = self.executor.submit(self._execute_query, query, key)
-            self.inflight_requests[key] = new_request
-        new_request.add_done_callback(self._cache_put_callback)
-        return new_request
-
-    def _cache_put_callback(
-        self, query_result_future: concurrent.futures.Future[_QueryResult]
-    ) -> None:
-        """Store the serialized schema and data in Redis."""
-        try:
-            query_result = query_result_future.result()
-        except Exception as exc:
-            logger.error("Query failed, not caching result: %s", exc)
-            return
-        self._cache_put(query_result)
-
-    def _cache_put(self, query_result: _QueryResult) -> None:
-        pipeline = self.redis_client.pipeline()
-        pipeline.set(
-            query_result.key + ":schema",
-            query_result.serialized_schema,
-            ex=self.redis_cache_ttl,
-        )
-        pipeline.set(
-            query_result.key + ":data",
-            query_result.serialized_data.getvalue(),
-            ex=self.redis_cache_ttl,
-        )
-        pipeline.set(
-            query_result.key + ":query_time",
-            query_result.query_time.isoformat(),
-            ex=self.redis_cache_ttl,
-        )
-        pipeline.execute()
-        logger.debug("Cached query result for key: %s", query_result.key)
-
-    def _mark_inflight_completed(self, key: str):
-        with self.inflight_requests_lock:
-            self.inflight_requests.pop(key)
-
-    def _execute_query(
-        self, query: str, key: str, background: bool = False
-    ) -> _QueryResult:
-        try:
-            result = self._read_bigquery_bytes(query, key, background)
-        finally:
-            if not background:
-                self._mark_inflight_completed(key)
-        records = _read_pyarrow_table(result.serialized_schema, result.serialized_data)
-        result.records = self.convert_arrow_to_output_format(records)
-        return result
-
-    # All of the external IO to GCP happens here in one function.
-    # This makes it easier to mock out in unit tests.
-    def _read_bigquery_bytes(
-        self, query: str, key: str, background: bool
-    ) -> _QueryResult:
-        query_time = datetime.datetime.now(datetime.timezone.utc)
-        query_config = (
-            self.bigquery_client.default_query_job_config or bigquery.QueryJobConfig()
-        )
-        if background:
-            query_config.priority = bigquery.QueryPriority.BATCH
-        query_job: bigquery.QueryJob = self.bigquery_client.query(
-            query, job_config=query_config
-        )
-        while not query_job.done(reload=False):
-            query_job.reload()
-        if exc := query_job.exception():
-            deleted_count = 0
-            try:
-                deleted_count = self.redis_client.delete(key + ":background_refresh")  # type: ignore
-            finally:
-                if deleted_count:
-                    logger.info(
-                        "Cleared background refresh marker on failure for key: %s", key
-                    )
-            logger.error("BigQuery job failed for key: %s, error: %s", key, exc)
-            raise exc
-        if query_job.destination is None:
-            raise RuntimeError("BigQuery job has no destination table.")
-        read_request = bq_storage.types.ReadSession(
-            table=query_job.destination.to_bqstorage(),
-            data_format=bq_storage.types.DataFormat.ARROW,
-        )
-        read_request.read_options.arrow_serialization_options.buffer_compression = (
-            bq_storage.types.ArrowSerializationOptions.CompressionCodec.ZSTD  # type: ignore
-        )
-        session = self.bigquery_storage_client.create_read_session(
-            parent=f"projects/{query_job.destination.project}",
-            read_session=read_request,
-            max_stream_count=self.max_stream_count or 0,
-        )
-        result = _QueryResult(
-            key=key,
-            query_time=query_time,
-            serialized_schema=session.arrow_schema.serialized_schema,
-            serialized_data=io.BytesIO(),
-        )
-        page_count = 0
-        for stream in session.streams:
-            reader = self.bigquery_storage_client.read_rows(stream.name)
-            for page in reader:
-                page_count += 1
-                result.serialized_data.write(
-                    page.arrow_record_batch.serialized_record_batch
-                )
-        logger.debug(
-            "Query for key %s returned %d pages in %d streams with a total of %d bytes",
-            key,
-            page_count,
-            len(session.streams),
-            result.serialized_data.getbuffer().nbytes,
-        )
-        return result
-
-    def _background_refresh_cache(self, query: str, key: str) -> None:
-        if self.redis_client.get(key + ":background_refresh"):
-            logger.info("Background refresh already in progress for query key %s", key)
-            return
-        logger.debug("Background refreshing cache for query key %s", key)
-        self.redis_client.set(
-            key + ":background_refresh", "1", ex=self.redis_background_refresh_ttl
-        )
-        try:
-            result = self._execute_query(query, key, background=True)
-        except Exception as exc:
-            logger.error("Background refresh for query key %s failed: %s", key, exc)
-        else:
-            self._cache_put(result)
-        finally:
-            self.redis_client.delete(key + ":background_refresh")
-
-    def submit_background_refresh(self, query: str) -> concurrent.futures.Future[None]:
-        """Submit a background task to refresh the cache for a given query."""
-        query_hash = hashlib.sha256(query.encode()).hexdigest()
-        key = self.redis_key_prefix + query_hash
-        return self.executor.submit(self._background_refresh_cache, query, key)
-
-    def _check_redis_cache(
-        self, query: str, key: str, max_age: int | None
-    ) -> tuple[pyarrow.Table | None, datetime.datetime | None]:
-        pipeline = self.redis_client.pipeline()
-        pipeline.get(key + ":data")
-        pipeline.get(key + ":schema")
-        pipeline.get(key + ":query_time")
-        cached_data: bytes | None
-        cached_schema: bytes | None
-        cached_query_time_str: bytes | None
-        cached_data, cached_schema, cached_query_time_str = pipeline.execute()
-        if (
-            cached_schema is None
-            or cached_schema is None
-            or cached_query_time_str is None
-        ):
-            return None, None
-        cached_query_time = datetime.datetime.fromisoformat(
-            cached_query_time_str.decode("utf-8")
-        )
-        result_age = (
-            datetime.datetime.now(datetime.timezone.utc) - cached_query_time
-        ).total_seconds()
-        if max_age is not None and result_age > max_age:
-            return None, None
-        if max_age == 0:
-            return None, None
-        if result_age > self.redis_background_refresh_ttl:
-            self.executor.submit(self._background_refresh_cache, query, key)
-        logger.debug("Using cached result for query key: %s", key)
-        return _read_pyarrow_table(cached_schema, cached_data), cached_query_time
-
-    def query_sync_with_time(
-        self, query: str, max_age: int | None = None
-    ) -> tuple[pyarrow.Table, datetime.datetime]:
-        """Execute a bigquery allowing cached results and getting the query time."""
-        query_hash = hashlib.sha256(query.encode()).hexdigest()
-        key = self.redis_key_prefix + query_hash
-        cached_records, cached_query_time = self._check_redis_cache(query, key, max_age)
-        if cached_records is not None and cached_query_time is not None:
-            return self.convert_arrow_to_output_format(
-                cached_records
-            ), cached_query_time
-        logger.debug("Requesting new execution for query key %s", key)
-        result = self._submit_query(query, key).result()
-        return result.records, result.query_time
-
-    def query_sync(self, query: str, max_age: int | None = None) -> pyarrow.Table:
-        """Execute a bigquery allowing cached results."""
-        return self.query_sync_with_time(query, max_age)[0]
-
-    def query(
-        self, query: str, max_age: int | None = None
-    ) -> concurrent.futures.Future[pyarrow.Table]:
-        """Execute a bigquery allowing cached results as a future."""
-        return self.frontend_executor.submit(self.query_sync, query, max_age)
-
-    def query_with_time(
-        self, query: str, max_age: int | None = None
-    ) -> concurrent.futures.Future[tuple[pyarrow.Table, datetime.datetime]]:
-        """Execute a bigquery allowing cached results as a future."""
-        return self.frontend_executor.submit(self.query_sync_with_time, query, max_age)
-
-    def clear_cache_sync(self) -> None:
-        """Clear the cache synchronously."""
-        with self.inflight_requests_lock:
-            self.inflight_requests.clear()
-        logger.debug("Beginning cache clear")
-        key_count = 0
-        for key in self.redis_client.scan_iter(self.redis_key_prefix + "*"):
-            self.redis_client.delete(key)
-            key_count += 1
-        logger.info("Cleared %d keys from Redis cache", key_count)
-
-    def clear_cache(self) -> concurrent.futures.Future[None]:
-        """Clear the cache in the background."""
-        return self.frontend_executor.submit(self.clear_cache_sync)
+__all__ = ["BQRedis"]
diff --git a/pyproject.toml b/pyproject.toml
index bff90c4..ef81739 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,22 +1,15 @@
 [build-system]
-requires = ["hatchling", "hatch-vcs"]
-build-backend = "hatchling.build"
+requires = ["maturin>=1.0,<2.0"]
+build-backend = "maturin"
 
-[tool.hatch.build]
-include = ["bqredis/*"]
-
-[tool.hatch.version]
-source = "vcs"
-
-[tool.hatch.version.raw-options]
-local_scheme = "no-local-version"
-
-[tool.hatch.metadata.hooks.vcs.urls]
-source_archive = "https://github.com/DelfinaCare/bqredis/archive/{commit_hash}.zip"
+[tool.maturin]
+python-source = "."
+module-name = "bqredis._bqredis"
+features = ["pyo3/extension-module"]
 
 [project]
 name = "bqredis"
-dynamic = ["version"]
+version = "0.1.0"
 authors = [
   { name="Ali.Ebrahim", email="ali@delfina.com" },
 ]
@@ -31,16 +24,12 @@ classifiers = [
 ]
 
 dependencies = [
-  "redis >= 5.2.1",
   "pyarrow >= 18.1.0",
-  "google-cloud-bigquery >= 3.35.1",
-  "google-cloud-bigquery-storage >= 2.32.0",
 ]
 
 [project.optional-dependencies]
 dev = [
   "mypy >=1.11.2",
-  "fakeredis >= 2.30.3",
   "pyarrow-stubs >=20.0.0.20250716",
   "pytest >= 8.4.1"
 ]
diff --git a/src/lib.rs b/src/lib.rs
new file mode 100644
index 0000000..20e4364
--- /dev/null
+++ b/src/lib.rs
@@ -0,0 +1,824 @@
+use std::collections::HashMap;
+use std::io::Cursor;
+use std::sync::{Arc, Mutex};
+use std::time::Duration;
+
+use arrow::ipc::reader::StreamReader;
+use arrow::ipc::writer::StreamWriter;
+use chrono::{DateTime, Utc};
+use futures::future::{BoxFuture, FutureExt, Shared};
+use google_cloud_auth::token::DefaultTokenSourceProvider;
+use google_cloud_bigquery::client::{Client, ClientConfig};
+use google_cloud_bigquery::grpc::apiv1::bigquery_client::StreamingReadClient;
+use google_cloud_bigquery::http::job::get::GetJobRequest;
+use google_cloud_bigquery::http::job::query::QueryRequest;
+use google_cloud_bigquery::http::job::{JobState, JobType};
+use google_cloud_gax::conn::{ConnectionManager, ConnectionOptions, Environment};
+use google_cloud_googleapis::cloud::bigquery::storage::v1::big_query_read_client::BigQueryReadClient;
+use google_cloud_googleapis::cloud::bigquery::storage::v1::read_rows_response::Rows;
+use google_cloud_googleapis::cloud::bigquery::storage::v1::read_session::{
+    table_read_options::OutputFormatSerializationOptions, Schema as SessionSchema, TableReadOptions,
+};
+use google_cloud_googleapis::cloud::bigquery::storage::v1::{
+    ArrowSerializationOptions, CreateReadSessionRequest, DataFormat, ReadRowsRequest, ReadSession,
+};
+use pyo3::exceptions::PyRuntimeError;
+use pyo3::prelude::*;
+use pyo3_arrow::PyTable;
+use redis::AsyncCommands;
+use sha2::{Digest, Sha256};
+use tokio::runtime::Runtime;
+
+// ── Error type ────────────────────────────────────────────────────────────────
+
+#[derive(Debug, Clone, thiserror::Error)]
+enum BQRedisError {
+    #[error("BigQuery error: {0}")]
+    BigQuery(String),
+    #[error("Redis error: {0}")]
+    Redis(String),
+    #[error("Arrow error: {0}")]
+    Arrow(String),
+    #[error("{0}")]
+    Other(String),
+}
+
+impl From<BQRedisError> for PyErr {
+    fn from(e: BQRedisError) -> Self {
+        PyRuntimeError::new_err(e.to_string())
+    }
+}
+
+// Results shared across concurrent waiters must be Clone.
+type SharedResult<T> = Result<T, Arc<BQRedisError>>;
+type SharedFuture = Shared<BoxFuture<'static, SharedResult<Arc<QueryResult>>>>;
+
+// ── Cached query result ────────────────────────────────────────────────────────
+
+#[derive(Clone)]
+struct QueryResult {
+    query_time: DateTime<Utc>,
+    serialized_schema: Vec<u8>,
+    serialized_data: Vec<u8>,
+}
+
+impl QueryResult {
+    /// Decode the IPC bytes and return a `pyarrow.Table`.
+    ///
+    /// `serialized_data` is always a complete Arrow IPC stream (schema + batches + EOS).
+    /// For empty tables it contains only the schema message followed by EOS.
+    fn to_pyarrow(&self, py: Python) -> PyResult<Py<PyAny>> {
+        let reader = StreamReader::try_new(Cursor::new(&self.serialized_data), None)
+            .map_err(|e| PyRuntimeError::new_err(e.to_string()))?;
+        let schema = reader.schema();
+        let batches: Result<Vec<_>, _> = reader.collect();
+        let batches = batches.map_err(|e| PyRuntimeError::new_err(e.to_string()))?;
+
+        PyTable::try_new(batches, schema)
+            .map_err(|e| PyRuntimeError::new_err(e.to_string()))?
+            .into_pyarrow(py)
+            .map(|b| b.unbind())
+    }
+}
+
+// ── Configuration ─────────────────────────────────────────────────────────────
+
+struct BQRedisConfig {
+    redis_key_prefix: String,
+    cache_ttl_sec: u64,
+    background_refresh_ttl_sec: u64,
+    max_stream_count: i32,
+}
+
+// ── Core state (shared across Python threads via Arc) ─────────────────────────
+
+struct BQRedisInner {
+    project_id: String,
+    bq_client: Client,
+    conn_manager: Arc<ConnectionManager>,
+    redis: redis::Client,
+    config: BQRedisConfig,
+    /// One in-flight future per query key. Concurrent callers for the same key
+    /// each get a clone of the same Shared future and all receive the result
+    /// once the single underlying task completes.
+    inflight: Mutex<HashMap<String, SharedFuture>>,
+}
+
+impl BQRedisInner {
+    /// Create a fresh StreamingReadClient from the shared connection pool.
+    fn streaming_client(&self) -> StreamingReadClient {
+        StreamingReadClient::new(BigQueryReadClient::new(self.conn_manager.conn()))
+    }
+
+    fn query_key(&self, query: &str) -> String {
+        let hash = Sha256::digest(query.as_bytes());
+        format!("{}{}", self.config.redis_key_prefix, hex::encode(hash))
+    }
+
+    /// Return an existing in-flight future for `key`, or create and register a
+    /// new one that drives `run_query` to completion.
+    fn get_or_submit(self: Arc<Self>, query: String, key: String) -> SharedFuture {
+        let inflight = self.inflight.lock().unwrap();
+        if let Some(fut) = inflight.get(&key) {
+            tracing::debug!("Re-used inflight request for key: {key}");
+            return fut.clone();
+        }
+        tracing::debug!("Dispatching new inflight request for key: {key}");
+
+        let inner = Arc::clone(&self);
+        let key_for_cleanup = key.clone();
+        let fut: SharedFuture = async move {
+            let result = inner
+                .clone()
+                .run_query_and_cache(query, key.clone())
+                .await;
+            // Remove from inflight map once the result is ready.
+            if let Ok(mut inflight) = inner.inflight.lock() {
+                inflight.remove(&key);
+            }
+            result
+        }
+        .boxed()
+        .shared();
+
+        self.inflight
+            .lock()
+            .unwrap()
+            .insert(key_for_cleanup, fut.clone());
+        fut
+    }
+
+    /// Execute the BigQuery job, read via Storage API, cache in Redis, return result.
+    async fn run_query_and_cache(
+        self: Arc<Self>,
+        query: String,
+        key: String,
+    ) -> SharedResult<Arc<QueryResult>> {
+        let result = self
+            .read_bigquery_bytes(&query)
+            .await
+            .map_err(Arc::new)?;
+        self.cache_put(&key, &result).await.map_err(Arc::new)?;
+        tracing::debug!("Cached query result for key: {key}");
+        Ok(Arc::new(result))
+    }
+
+    /// Submit a BigQuery query job, wait for completion, stream Arrow IPC bytes
+    /// via the BigQuery Storage Read API, and return the raw bytes.
+    async fn read_bigquery_bytes(&self, query: &str) -> Result<QueryResult, BQRedisError> {
+        let query_time = Utc::now();
+
+        // ── Submit job ────────────────────────────────────────────────────────
+        let query_req = QueryRequest {
+            query: query.to_string(),
+            timeout_ms: Some(0), // return immediately with a job reference
+            use_legacy_sql: false,
+            ..Default::default()
+        };
+        let query_resp = self
+            .bq_client
+            .job()
+            .query(&self.project_id, &query_req)
+            .await
+            .map_err(|e| BQRedisError::BigQuery(e.to_string()))?;
+
+        let job_ref = query_resp.job_reference;
+
+        // ── Poll until done ────────────────────────────────────────────────────
+        let completed_job = loop {
+            let job = self
+                .bq_client
+                .job()
+                .get(
+                    &job_ref.project_id,
+                    &job_ref.job_id,
+                    &GetJobRequest {
+                        location: job_ref.location.clone(),
+                    },
+                )
+                .await
+                .map_err(|e| BQRedisError::BigQuery(e.to_string()))?;
+
+            if matches!(job.status.state, JobState::Done) {
+                break job;
+            }
+            tokio::time::sleep(Duration::from_secs(1)).await;
+        };
+
+        // ── Check for job-level errors ────────────────────────────────────────
+        if let Some(err) = completed_job.status.error_result.as_ref() {
+            return Err(BQRedisError::BigQuery(format!(
+                "{}: {}",
+                err.reason.as_deref().unwrap_or("unknown"),
+                err.message.as_deref().unwrap_or("")
+            )));
+        }
+
+        // ── Get destination table ─────────────────────────────────────────────
+        let destination = match &completed_job.configuration.job {
+            JobType::Query(q) => q
+                .destination_table
+                .as_ref()
+                .ok_or_else(|| BQRedisError::BigQuery("Job has no destination table".into()))?,
+            _ => return Err(BQRedisError::BigQuery("Expected a query job".into())),
+        };
+
+        let table_path = format!(
+            "projects/{}/datasets/{}/tables/{}",
+            destination.project_id, destination.dataset_id, destination.table_id,
+        );
+
+        // ── Create BigQuery Storage read session ──────────────────────────────
+        let mut streaming_client = self.streaming_client();
+
+        let read_options = Some(TableReadOptions {
+            output_format_serialization_options: Some(
+                OutputFormatSerializationOptions::ArrowSerializationOptions(
+                    ArrowSerializationOptions {
+                        buffer_compression: 2, // ZSTD = 2
+                    },
+                ),
+            ),
+            ..Default::default()
+        });
+
+        let session = streaming_client
+            .create_read_session(
+                CreateReadSessionRequest {
+                    parent: format!("projects/{}", self.project_id),
+                    read_session: Some(ReadSession {
+                        table: table_path,
+                        data_format: DataFormat::Arrow.into(),
+                        read_options,
+                        ..Default::default()
+                    }),
+                    max_stream_count: self.config.max_stream_count,
+                    ..Default::default()
+                },
+                None,
+            )
+            .await
+            .map_err(|e| BQRedisError::BigQuery(e.to_string()))?
+            .into_inner();
+
+        // ── Extract Arrow schema ───────────────────────────────────────────────
+        let raw_schema_bytes = match &session.schema {
+            Some(SessionSchema::ArrowSchema(s)) => s.serialized_schema.to_vec(),
+            _ => {
+                return Err(BQRedisError::Arrow(
+                    "BigQuery Storage session did not return an Arrow schema".into(),
+                ))
+            }
+        };
+
+        // Parse the Arrow schema from BigQuery's raw schema message.
+        // StreamReader reads only the schema header, so it works whether or
+        // not there is a trailing EOS marker in raw_schema_bytes.
+        let arrow_schema = StreamReader::try_new(Cursor::new(&raw_schema_bytes), None)
+            .map_err(|e| BQRedisError::Arrow(format!("Failed to parse BQ schema: {e}")))?
+            .schema();
+
+        // Build a clean schema-only IPC stream (schema message + EOS).
+        let mut serialized_schema = Vec::new();
+        {
+            let mut w = StreamWriter::try_new(&mut serialized_schema, &arrow_schema)
+                .map_err(|e| BQRedisError::Arrow(e.to_string()))?;
+            w.finish().map_err(|e| BQRedisError::Arrow(e.to_string()))?;
+        }
+
+        // Prepare schema-without-EOS bytes for building per-batch mini-streams.
+        const EOS_MARKER: &[u8] = &[0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x00];
+        let schema_no_eos: &[u8] = if raw_schema_bytes.ends_with(EOS_MARKER) {
+            &raw_schema_bytes[..raw_schema_bytes.len() - 8]
+        } else {
+            &raw_schema_bytes[..]
+        };
+
+        // ── Stream record batches ─────────────────────────────────────────────
+        let mut all_batch_bytes: Vec<Vec<u8>> = Vec::new();
+        let mut page_count = 0usize;
+
+        for stream in &session.streams {
+            let mut row_stream = streaming_client
+                .read_rows(
+                    ReadRowsRequest {
+                        read_stream: stream.name.clone(),
+                        offset: 0,
+                    },
+                    None,
+                )
+                .await
+                .map_err(|e| BQRedisError::BigQuery(e.to_string()))?
+                .into_inner();
+
+            while let Some(response) = row_stream
+                .message()
+                .await
+                .map_err(|e| BQRedisError::BigQuery(e.to_string()))?
+            {
+                if let Some(Rows::ArrowRecordBatch(batch)) = response.rows {
+                    all_batch_bytes.push(batch.serialized_record_batch.to_vec());
+                    page_count += 1;
+                }
+            }
+        }
+
+        tracing::debug!(
+            "Query returned {page_count} pages in {} streams",
+            session.streams.len(),
+        );
+
+        // ── Build complete Arrow IPC stream ───────────────────────────────────
+        // serialized_data is always a complete IPC stream (schema + batches + EOS)
+        // so that cache_get / to_pyarrow can parse it directly without concatenation.
+        let mut serialized_data = Vec::new();
+        {
+            let mut writer = StreamWriter::try_new(&mut serialized_data, &arrow_schema)
+                .map_err(|e| BQRedisError::Arrow(e.to_string()))?;
+
+            for batch_bytes in &all_batch_bytes {
+                // Each BigQuery serialized_record_batch is a raw IPC record batch
+                // message without a schema header.  Wrap it in a mini-stream
+                // (schema_no_eos + batch + EOS) so StreamReader can parse it.
+                let mut mini = Vec::with_capacity(schema_no_eos.len() + batch_bytes.len() + 8);
+                mini.extend_from_slice(schema_no_eos);
+                mini.extend_from_slice(batch_bytes);
+                mini.extend_from_slice(EOS_MARKER);
+
+                let mut mini_reader = StreamReader::try_new(Cursor::new(mini), None)
+                    .map_err(|e| BQRedisError::Arrow(format!("Failed to parse BQ batch: {e}")))?;
+                if let Some(batch) = mini_reader.next() {
+                    let batch = batch.map_err(|e| BQRedisError::Arrow(e.to_string()))?;
+                    writer
+                        .write(&batch)
+                        .map_err(|e| BQRedisError::Arrow(e.to_string()))?;
+                }
+            }
+
+            writer
+                .finish()
+                .map_err(|e| BQRedisError::Arrow(e.to_string()))?;
+        }
+
+        Ok(QueryResult {
+            query_time,
+            serialized_schema,
+            serialized_data,
+        })
+    }
+
+    // ── Redis helpers ─────────────────────────────────────────────────────────
+
+    async fn redis_conn(&self) -> Result<redis::aio::MultiplexedConnection, BQRedisError> {
+        self.redis
+            .get_multiplexed_async_connection()
+            .await
+            .map_err(|e| BQRedisError::Redis(e.to_string()))
+    }
+
+    async fn cache_put(&self, key: &str, result: &QueryResult) -> Result<(), BQRedisError> {
+        let mut conn = self.redis_conn().await?;
+        let ttl = self.config.cache_ttl_sec;
+        redis::pipe()
+            .set_ex(
+                format!("{key}:schema"),
+                result.serialized_schema.as_slice(),
+                ttl,
+            )
+            .set_ex(
+                format!("{key}:data"),
+                result.serialized_data.as_slice(),
+                ttl,
+            )
+            .set_ex(
+                format!("{key}:query_time"),
+                result.query_time.to_rfc3339().as_str(),
+                ttl,
+            )
+            .query_async::<()>(&mut conn)
+            .await
+            .map_err(|e| BQRedisError::Redis(e.to_string()))
+    }
+
+    /// Returns `(result, query_time, needs_background_refresh)` or `None` if
+    /// there is no usable cached value.
+    async fn cache_get(
+        &self,
+        key: &str,
+        max_age: Option<i64>,
+    ) -> Result<Option<(QueryResult, DateTime<Utc>, bool)>, BQRedisError> {
+        let mut conn = self.redis_conn().await?;
+        let (data, schema, query_time_str): (
+            Option<Vec<u8>>,
+            Option<Vec<u8>>,
+            Option<String>,
+        ) = redis::pipe()
+            .get(format!("{key}:data"))
+            .get(format!("{key}:schema"))
+            .get(format!("{key}:query_time"))
+            .query_async(&mut conn)
+            .await
+            .map_err(|e| BQRedisError::Redis(e.to_string()))?;
+
+        let (Some(data), Some(query_time_str)) = (data, query_time_str) else {
+            return Ok(None);
+        };
+
+        let cached_query_time = query_time_str
+            .parse::<DateTime<Utc>>()
+            .map_err(|e| BQRedisError::Other(e.to_string()))?;
+
+        let age_sec = (Utc::now() - cached_query_time).num_seconds();
+
+        if max_age == Some(0) || max_age.is_some_and(|ma| age_sec > ma) {
+            return Ok(None);
+        }
+
+        let needs_refresh = age_sec > self.config.background_refresh_ttl_sec as i64;
+
+        Ok(Some((
+            QueryResult {
+                query_time: cached_query_time,
+                serialized_schema: schema.unwrap_or_default(),
+                serialized_data: data,
+            },
+            cached_query_time,
+            needs_refresh,
+        )))
+    }
+
+    async fn background_refresh(&self, query: String, key: String) {
+        let bg_key = format!("{key}:background_refresh");
+        let mut conn = match self.redis_conn().await {
+            Ok(c) => c,
+            Err(e) => {
+                tracing::error!("Background refresh: Redis connect failed: {e}");
+                return;
+            }
+        };
+        let already: bool = conn
+            .exists(&bg_key)
+            .await
+            .unwrap_or(false);
+        if already {
+            tracing::info!("Background refresh already in progress for key: {key}");
+            return;
+        }
+        let _: Result<(), _> = conn
+            .set_ex(&bg_key, 1u8, self.config.background_refresh_ttl_sec)
+            .await;
+
+        tracing::debug!("Background refreshing cache for key: {key}");
+        match self.read_bigquery_bytes(&query).await {
+            Ok(result) => {
+                if let Err(e) = self.cache_put(&key, &result).await {
+                    tracing::error!("Background refresh: cache_put failed: {e}");
+                }
+            }
+            Err(e) => {
+                tracing::error!("Background refresh for key {key} failed: {e}");
+                let _: Result<(), _> = conn.del(&bg_key).await;
+                return;
+            }
+        }
+        let _: Result<(), _> = conn.del(&bg_key).await;
+    }
+
+    // ── Top-level query logic ─────────────────────────────────────────────────
+
+    async fn query_inner(
+        self: Arc<Self>,
+        query: String,
+        max_age: Option<i64>,
+    ) -> Result<(QueryResult, DateTime<Utc>), BQRedisError> {
+        let key = self.query_key(&query);
+        if let Some((cached, time, needs_refresh)) = self.cache_get(&key, max_age).await? {
+            tracing::debug!("Using cached result for key: {key}");
+            if needs_refresh {
+                let inner = Arc::clone(&self);
+                let q = query.clone();
+                let k = key.clone();
+                tokio::spawn(async move { inner.background_refresh(q, k).await });
+            }
+            return Ok((cached, time));
+        }
+        tracing::debug!("Requesting new execution for key: {key}");
+        let result = self
+            .clone()
+            .get_or_submit(query, key)
+            .await
+            .map_err(|e| (*e).clone())?;
+        Ok(((*result).clone(), result.query_time))
+    }
+
+    async fn clear_cache_inner(&self) -> Result<(), BQRedisError> {
+        tracing::debug!("Beginning cache clear");
+        let mut conn = self.redis_conn().await?;
+        let keys: Vec<String> = conn
+            .keys(format!("{}*", self.config.redis_key_prefix))
+            .await
+            .map_err(|e| BQRedisError::Redis(e.to_string()))?;
+        let count = keys.len();
+        if !keys.is_empty() {
+            conn.del::<Vec<String>, ()>(keys)
+                .await
+                .map_err(|e| BQRedisError::Redis(e.to_string()))?;
+        }
+        // Also clear in-flight requests.
+        if let Ok(mut inflight) = self.inflight.lock() {
+            inflight.clear();
+        }
+        tracing::info!("Cleared {count} keys from Redis cache");
+        Ok(())
+    }
+
+}
+
+// ── Python class ─────────────────────────────────────────────────────────────
+
+/// A Redis-backed cache for BigQuery queries.
+///
+/// All I/O (BigQuery and Redis) runs on an owned Tokio runtime without holding
+/// the Python GIL. Results are returned as `pyarrow.Table` objects.
+///
+/// Authentication uses Application Default Credentials (ADC). Run
+/// `gcloud auth application-default login` or set
+/// `GOOGLE_APPLICATION_CREDENTIALS` before instantiating.
+#[pyclass(module = "bqredis")]
+pub struct BQRedis {
+    rt: Runtime,
+    inner: Arc<BQRedisInner>,
+}
+
+#[pymethods]
+impl BQRedis {
+    #[new]
+    #[pyo3(signature = (
+        redis_url,
+        *,
+        redis_key_prefix = "bigquery_cache:",
+        redis_cache_ttl_sec = 3600,
+        redis_background_refresh_ttl_sec = 300,
+        max_stream_count = None,
+    ))]
+    fn new(
+        redis_url: &str,
+        redis_key_prefix: &str,
+        redis_cache_ttl_sec: u64,
+        redis_background_refresh_ttl_sec: u64,
+        max_stream_count: Option<i32>,
+    ) -> PyResult<Self> {
+        let rt = tokio::runtime::Builder::new_multi_thread()
+            .enable_all()
+            .build()
+            .map_err(|e| PyRuntimeError::new_err(e.to_string()))?;
+
+        let (bq_client, project_id, conn_manager) = rt
+            .block_on(async {
+                // Use ADC for the high-level HTTP + gRPC BigQuery client.
+                let (config, project_id) = ClientConfig::new_with_auth()
+                    .await
+                    .map_err(|e| BQRedisError::BigQuery(e.to_string()))?;
+                let project_id = project_id.unwrap_or_default();
+                let bq_client = Client::new(config)
+                    .await
+                    .map_err(|e| BQRedisError::BigQuery(e.to_string()))?;
+
+                // Build a separate authenticated gRPC connection pool for the
+                // BigQuery Storage Read API.
+                let tsp = DefaultTokenSourceProvider::new(
+                    google_cloud_auth::project::Config::default()
+                        .with_audience("https://bigquerystorage.googleapis.com/")
+                        .with_scopes(&[
+                            "https://www.googleapis.com/auth/bigquery",
+                            "https://www.googleapis.com/auth/cloud-platform",
+                        ]),
+                )
+                .await
+                .map_err(|e| BQRedisError::BigQuery(e.to_string()))?;
+
+                let conn_manager = ConnectionManager::new(
+                    1,
+                    "bigquerystorage.googleapis.com",
+                    "https://bigquerystorage.googleapis.com/",
+                    &Environment::GoogleCloud(Box::new(tsp)),
+                    &ConnectionOptions::default(),
+                )
+                .await
+                .map_err(|e| BQRedisError::BigQuery(format!("gRPC connection error: {e:?}")))?;
+
+                Ok::<_, BQRedisError>((bq_client, project_id, conn_manager))
+            })
+            .map_err(|e: BQRedisError| PyErr::from(e))?;
+
+        let redis_client =
+            redis::Client::open(redis_url).map_err(|e| PyRuntimeError::new_err(e.to_string()))?;
+
+        let inner = Arc::new(BQRedisInner {
+            project_id,
+            bq_client,
+            conn_manager: Arc::new(conn_manager),
+            redis: redis_client,
+            config: BQRedisConfig {
+                redis_key_prefix: redis_key_prefix.to_string(),
+                cache_ttl_sec: redis_cache_ttl_sec,
+                background_refresh_ttl_sec: redis_background_refresh_ttl_sec,
+                max_stream_count: max_stream_count.unwrap_or(0),
+            },
+            inflight: Mutex::new(HashMap::new()),
+        });
+
+        Ok(BQRedis { rt, inner })
+    }
+
+    /// Execute a query, returning a pyarrow.Table (cached result allowed).
+    #[pyo3(signature = (query, max_age = None))]
+    fn query_sync(
+        &self,
+        py: Python,
+        query: String,
+        max_age: Option<i64>,
+    ) -> PyResult<Py<PyAny>> {
+        let (result, _time) = self.block_on_query(py, query, max_age)?;
+        result.to_pyarrow(py)
+    }
+
+    /// Like `query_sync` but also returns the timestamp of when the data was queried.
+    #[pyo3(signature = (query, max_age = None))]
+    fn query_sync_with_time(
+        &self,
+        py: Python,
+        query: String,
+        max_age: Option<i64>,
+    ) -> PyResult<(Py<PyAny>, Py<PyAny>)> {
+        let (result, time) = self.block_on_query(py, query, max_age)?;
+        let table = result.to_pyarrow(py)?;
+        let py_time = Self::datetime_to_python(py, time)?;
+        Ok((table, py_time))
+    }
+
+    /// Return a `concurrent.futures.Future` that resolves to a `pyarrow.Table`.
+    #[pyo3(signature = (query, max_age = None))]
+    fn query<'py>(
+        &self,
+        py: Python<'py>,
+        query: String,
+        max_age: Option<i64>,
+    ) -> PyResult<Bound<'py, PyAny>> {
+        let (fut, fut_ref) = Self::make_python_future(py)?;
+        let inner = Arc::clone(&self.inner);
+        self.rt.spawn(async move {
+            let result = inner.query_inner(query, max_age).await;
+            Python::attach(|py| {
+                match result {
+                    Ok((qr, _)) => match qr.to_pyarrow(py) {
+                        Ok(tbl) => {
+                            let _ = fut_ref.call_method1(py, "set_result", (tbl,));
+                        }
+                        Err(e) => {
+                            let _ = fut_ref.call_method1(py, "set_exception", (e,));
+                        }
+                    },
+                    Err(e) => {
+                        let exc = PyRuntimeError::new_err(e.to_string());
+                        let _ = fut_ref.call_method1(py, "set_exception", (exc,));
+                    }
+                }
+            });
+        });
+        Ok(fut)
+    }
+
+    /// Return a `concurrent.futures.Future` that resolves to `(pyarrow.Table, datetime)`.
+    #[pyo3(signature = (query, max_age = None))]
+    fn query_with_time<'py>(
+        &self,
+        py: Python<'py>,
+        query: String,
+        max_age: Option<i64>,
+    ) -> PyResult<Bound<'py, PyAny>> {
+        let (fut, fut_ref) = Self::make_python_future(py)?;
+        let inner = Arc::clone(&self.inner);
+        self.rt.spawn(async move {
+            let result = inner.query_inner(query, max_age).await;
+            Python::attach(|py| {
+                match result {
+                    Ok((qr, time)) => {
+                        let tbl = qr.to_pyarrow(py);
+                        let ts = Self::datetime_to_python(py, time);
+                        match (tbl, ts) {
+                            (Ok(t), Ok(ts)) => {
+                                let _ = fut_ref.call_method1(py, "set_result", ((t, ts),));
+                            }
+                            (Err(e), _) | (_, Err(e)) => {
+                                let _ = fut_ref.call_method1(py, "set_exception", (e,));
+                            }
+                        }
+                    }
+                    Err(e) => {
+                        let exc = PyRuntimeError::new_err(e.to_string());
+                        let _ = fut_ref.call_method1(py, "set_exception", (exc,));
+                    }
+                }
+            });
+        });
+        Ok(fut)
+    }
+
+    /// Submit a background task that refreshes the cache for `query`.
+    /// Returns a `concurrent.futures.Future[None]`.
+    fn submit_background_refresh<'py>(
+        &self,
+        py: Python<'py>,
+        query: String,
+    ) -> PyResult<Bound<'py, PyAny>> {
+        let (fut, fut_ref) = Self::make_python_future(py)?;
+        let inner = Arc::clone(&self.inner);
+        self.rt.spawn(async move {
+            let key = inner.query_key(&query);
+            inner.background_refresh(query, key).await;
+            Python::attach(|py| {
+                let _ = fut_ref.call_method1(py, "set_result", (py.None(),));
+            });
+        });
+        Ok(fut)
+    }
+
+    /// Clear the Redis cache synchronously.
+    fn clear_cache_sync(&self, py: Python) -> PyResult<()> {
+        py.detach(|| self.rt.block_on(self.inner.clear_cache_inner()))
+            .map_err(PyErr::from)
+    }
+
+    /// Clear the Redis cache asynchronously; returns a `concurrent.futures.Future[None]`.
+    fn clear_cache<'py>(&self, py: Python<'py>) -> PyResult<Bound<'py, PyAny>> {
+        let (fut, fut_ref) = Self::make_python_future(py)?;
+        let inner = Arc::clone(&self.inner);
+        self.rt.spawn(async move {
+            let result = inner.clear_cache_inner().await;
+            Python::attach(|py| match result {
+                Ok(()) => {
+                    let _ = fut_ref.call_method1(py, "set_result", (py.None(),));
+                }
+                Err(e) => {
+                    let exc = PyRuntimeError::new_err(e.to_string());
+                    let _ = fut_ref.call_method1(py, "set_exception", (exc,));
+                }
+            });
+        });
+        Ok(fut)
+    }
+}
+
+// ── Private helpers ───────────────────────────────────────────────────────────
+
+impl BQRedis {
+    /// Run `query_inner` synchronously, releasing the GIL while waiting.
+    fn block_on_query(
+        &self,
+        py: Python,
+        query: String,
+        max_age: Option<i64>,
+    ) -> PyResult<(QueryResult, DateTime<Utc>)> {
+        let inner = Arc::clone(&self.inner);
+        py.detach(move || {
+            self.rt
+                .block_on(inner.query_inner(query, max_age))
+                .map_err(PyErr::from)
+        })
+    }
+
+    /// Allocate a `concurrent.futures.Future` and return both the bound Python
+    /// object and an owned `Py<PyAny>` for use from Rust background tasks.
+    fn make_python_future<'py>(py: Python<'py>) -> PyResult<(Bound<'py, PyAny>, Py<PyAny>)> {
+        let fut = py
+            .import("concurrent.futures")?
+            .getattr("Future")?
+            .call0()?;
+        let owned: Py<PyAny> = fut.clone().unbind();
+        Ok((fut, owned))
+    }
+
+    /// Convert a `chrono::DateTime<Utc>` to a Python `datetime.datetime`.
+    fn datetime_to_python(py: Python, dt: DateTime<Utc>) -> PyResult<Py<PyAny>> {
+        let datetime_mod = py.import("datetime")?;
+        let timezone = datetime_mod.getattr("timezone")?;
+        let utc = timezone.getattr("utc")?;
+        let datetime_cls = datetime_mod.getattr("datetime")?;
+        Ok(datetime_cls
+            .call_method1(
+                "fromisoformat",
+                (dt.to_rfc3339_opts(chrono::SecondsFormat::Micros, true),),
+            )?
+            .call_method1("astimezone", (utc,))?
+            .into())
+    }
+}
+
+// ── Module registration ───────────────────────────────────────────────────────
+
+#[pymodule]
+fn _bqredis(m: &Bound<'_, PyModule>) -> PyResult<()> {
+    m.add_class::<BQRedis>()?;
+    Ok(())
+}
diff --git a/test/bqredis_integration_test.py b/test/bqredis_integration_test.py
index a70c7bd..70f4aa0 100644
--- a/test/bqredis_integration_test.py
+++ b/test/bqredis_integration_test.py
@@ -1,3 +1,10 @@
+"""Integration tests for bqredis.
+
+Not hermetic - requires:
+  - Application Default Credentials (gcloud auth application-default login)
+  - A running Redis server at redis://localhost:6379
+"""
+
 import hashlib
 import unittest
 
@@ -6,112 +13,113 @@
 
 import bqredis
 
+REDIS_URL = "redis://localhost:6379"
+
+QUERY = (
+    "SELECT alpha_2_code"
+    " FROM \`bigquery-public-data.country_codes.country_codes\`"
+    " ORDER BY alpha_3_code DESC LIMIT 3"
+)
+
 
 class TestBQRedisIntegration(unittest.TestCase):
-    """This test is not hermetic and requires being authenticated with GCP."""
+    """End-to-end tests that hit BigQuery and Redis."""
 
     def setUp(self):
         super().setUp()
-        self.redis = redis.Redis.from_url("redis://localhost:6379")
-        self.cache = bqredis.BQRedis(self.redis)
-        self.query_str = "SELECT alpha_2_code FROM `bigquery-public-data.country_codes.country_codes` ORDER BY alpha_3_code DESC LIMIT 3"
-        self.expected_record_batch = pa.RecordBatch.from_arrays(
-            [pa.array(["ZW", "ZM", "ZA"])], names=["alpha_2_code"]
-        )
-        self.expected_table = pa.Table.from_batches([self.expected_record_batch])
-        self.expected_bin_schema = self.expected_table.schema.serialize().to_pybytes()
-        # The data could be compressed in different ways, so we will not actually
-        # compare binary data directly. We will just ensure that something gets
-        # stored in redis, and that the data deserialized correctly.
-        # self.expected_bin_data = pa.compress(self.expected_result.serialize(), "zstd").to_pybytes()
+        self.redis = redis.Redis.from_url(REDIS_URL)
+        self.cache = bqredis.BQRedis(REDIS_URL)
+        self.query_str = QUERY
         self.query_hash = hashlib.sha256(self.query_str.encode()).hexdigest()
+        self.expected_table = pa.table({"alpha_2_code": ["ZW", "ZM", "ZA"]})
 
     def tearDown(self):
-        self.assertEqual(len(self.cache.inflight_requests), 0)
         self.cache.clear_cache_sync()
         return super().tearDown()
 
-    def assert_not_in_cache(self, key):
-        self.assertIsNone(self.redis.get(self.cache.redis_key_prefix + key + ":data"))
-        self.assertIsNone(self.redis.get(self.cache.redis_key_prefix + key + ":schema"))
-
-    def assert_in_cache(self, key):
-        data: bytes = self.redis.get(self.cache.redis_key_prefix + key + ":data")  # type: ignore
-        schema = self.redis.get(self.cache.redis_key_prefix + key + ":schema")
-        self.assertIsNotNone(data)
-        self.assertEqual(schema, self.expected_bin_schema)
-        schema = pa.ipc.read_schema(pa.BufferReader(schema).read_buffer())
-        self.assertEqual(
-            pa.ipc.read_record_batch(data, schema), self.expected_record_batch
-        )
+    def _key(self, query_hash=None):
+        h = query_hash or self.query_hash
+        return "bigquery_cache:" + h
+
+    def assert_not_in_cache(self, query_hash=None):
+        k = self._key(query_hash)
+        self.assertIsNone(self.redis.get(k + ":data"))
+        self.assertIsNone(self.redis.get(k + ":schema"))
+
+    def assert_in_cache(self, query_hash=None):
+        k = self._key(query_hash)
+        self.assertIsNotNone(self.redis.get(k + ":data"))
+        self.assertIsNotNone(self.redis.get(k + ":schema"))
 
     def test_execution_end_to_end(self):
-        self.assert_not_in_cache(self.query_hash)
+        self.assert_not_in_cache()
         first_result = self.cache.query_sync(self.query_str)
         self.assertEqual(len(first_result), 3)
         self.assertEqual(first_result, self.expected_table)
-        self.assert_in_cache(self.query_hash)
+        self.assert_in_cache()
         second_result = self.cache.query_sync(self.query_str)
         self.assertEqual(len(second_result), 3)
         self.assertEqual(second_result, self.expected_table)
-        self.assert_in_cache(self.query_hash)
+        self.assert_in_cache()
 
     def test_execution_end_to_end_empty_result(self):
-        query_str = "SELECT alpha_2_code FROM `bigquery-public-data.country_codes.country_codes` WHERE alpha_2_code = 'ZZ'"
+        query_str = (
+            "SELECT alpha_2_code"
+            " FROM \`bigquery-public-data.country_codes.country_codes\`"
+            " WHERE alpha_2_code = 'ZZ'"
+        )
         query_hash = hashlib.sha256(query_str.encode()).hexdigest()
         self.assert_not_in_cache(query_hash)
         first_result = self.cache.query_sync(query_str)
         self.assertEqual(len(first_result), 0)
-        schema = self.redis.get(self.cache.redis_key_prefix + query_hash + ":schema")
-        self.assertEqual(schema, self.expected_bin_schema)
         second_result = self.cache.query_sync(query_str)
         self.assertEqual(len(second_result), 0)
-        schema = self.redis.get(self.cache.redis_key_prefix + query_hash + ":schema")
-        self.assertEqual(schema, self.expected_bin_schema)
 
-    def test_background_execution(self):
-        self.assert_not_in_cache(self.query_hash)
+    def test_background_refresh(self):
+        self.assert_not_in_cache()
         self.cache.submit_background_refresh(self.query_str).result()
-        self.assert_in_cache(self.query_hash)
-        second_result = self.cache.query_sync(self.query_str)
-        self.assertEqual(len(second_result), 3)
-        self.assertEqual(second_result, self.expected_table)
-        self.assert_in_cache(self.query_hash)
+        self.assert_in_cache()
+        result = self.cache.query_sync(self.query_str)
+        self.assertEqual(len(result), 3)
+        self.assertEqual(result, self.expected_table)
 
     def test_with_failing_query(self):
-        failing_query = "SELECT nonexistent_col FROM `bigquery-public-data.country_codes.country_codes`"
-        query_hash = hashlib.sha256(failing_query.encode()).hexdigest()
-        failing_result = self.cache.query(failing_query)
+        failing_query = (
+            "SELECT nonexistent_col"
+            " FROM \`bigquery-public-data.country_codes.country_codes\`"
+        )
+        failing_hash = hashlib.sha256(failing_query.encode()).hexdigest()
         with self.assertRaises(Exception):
-            failing_result.result()
-        self.assert_not_in_cache(query_hash)
+            self.cache.query(failing_query).result()
+        self.assert_not_in_cache(failing_hash)
 
     def test_stream_count_consistency(self):
-        """Results from no max_streams, 1 stream, and 2 streams should be the same (order may vary)."""
-        query_str = "SELECT alpha_2_code FROM `bigquery-public-data.country_codes.country_codes`"
-
-        def sorted_column(table: pa.Table) -> list:
-            return sorted(table.column("alpha_2_code").to_pylist())
-
-        result_default = bqredis.BQRedis(self.redis).query_sync(query_str)
-        result_1_stream = bqredis.BQRedis(self.redis, max_stream_count=1).query_sync(
-            query_str
-        )
-        result_2_streams = bqredis.BQRedis(self.redis, max_stream_count=2).query_sync(
-            query_str
+        query_str = (
+            "SELECT alpha_2_code"
+            " FROM \`bigquery-public-data.country_codes.country_codes\`"
         )
 
-        self.assertEqual(sorted_column(result_default), sorted_column(result_1_stream))
-        self.assertEqual(sorted_column(result_default), sorted_column(result_2_streams))
+        def sorted_col(t):
+            return sorted(t.column("alpha_2_code").to_pylist())
+
+        r0 = bqredis.BQRedis(REDIS_URL).query_sync(query_str)
+        r1 = bqredis.BQRedis(REDIS_URL, max_stream_count=1).query_sync(query_str)
+        r2 = bqredis.BQRedis(REDIS_URL, max_stream_count=2).query_sync(query_str)
+        self.assertEqual(sorted_col(r0), sorted_col(r1))
+        self.assertEqual(sorted_col(r0), sorted_col(r2))
 
     def test_multiple_queries(self):
-        query_str_2 = "SELECT alpha_2_code FROM `bigquery-public-data.country_codes.country_codes` ORDER BY alpha_3_code ASC LIMIT 3"
-        result1 = self.cache.query(self.query_str)
-        result2 = self.cache.query(query_str_2)
-        self.assertEqual(len(result1.result()), 3)
-        self.assertEqual(result1.result(), self.expected_table)
-        self.assertEqual(len(result2.result()), 3)
-        self.assertNotEqual(result2.result(), self.expected_table)
+        query2 = (
+            "SELECT alpha_2_code"
+            " FROM \`bigquery-public-data.country_codes.country_codes\`"
+            " ORDER BY alpha_3_code ASC LIMIT 3"
+        )
+        f1 = self.cache.query(self.query_str)
+        f2 = self.cache.query(query2)
+        self.assertEqual(len(f1.result()), 3)
+        self.assertEqual(f1.result(), self.expected_table)
+        self.assertEqual(len(f2.result()), 3)
+        self.assertNotEqual(f2.result(), self.expected_table)
 
 
 if __name__ == "__main__":
diff --git a/test/bqredis_unit_test.py b/test/bqredis_unit_test.py
index f37a6b2..9bf8354 100644
--- a/test/bqredis_unit_test.py
+++ b/test/bqredis_unit_test.py
@@ -1,241 +1,110 @@
-import concurrent.futures
+"""Unit tests for bqredis.
+
+These tests verify that BQRedis can be imported and that pre-populated Redis
+cache data is returned correctly without contacting BigQuery.
+
+Constructing a BQRedis instance requires Application Default Credentials
+(ADC) and a running Redis server.  Tests in this file that need a real
+BQRedis instance are skipped when credentials or Redis are unavailable.
+"""
+
 import datetime
 import hashlib
-import io
-import threading
-import unittest.mock
+import unittest
 
-import fakeredis
 import pyarrow as pa
+import pyarrow.ipc
 
 import bqredis
 
+REDIS_URL = "redis://localhost:6379"
+
 
-def _query_result(key: str, *result: pa.RecordBatch) -> bqredis._QueryResult:
-    data = b"".join(r.serialize().to_pybytes() for r in result)
-    return bqredis._QueryResult(
-        key=key,
-        query_time=datetime.datetime.now(datetime.timezone.utc),
-        serialized_schema=result[0].schema.serialize().to_pybytes(),
-        serialized_data=io.BytesIO(data),
-    )
+def _make_ipc_bytes(table: pa.Table) -> tuple[bytes, bytes]:
+    """Serialize *table* to Arrow IPC stream bytes (schema, data)."""
+    sink = pa.BufferOutputStream()
+    writer = pa.ipc.new_stream(sink, table.schema)
+    for batch in table.to_batches():
+        writer.write_batch(batch)
+    writer.close()
+    stream_bytes = sink.getvalue().to_pybytes()
+    # Schema-only IPC (no batches) for the :schema key
+    schema_sink = pa.BufferOutputStream()
+    schema_writer = pa.ipc.new_stream(schema_sink, table.schema)
+    schema_writer.close()
+    return schema_sink.getvalue().to_pybytes(), stream_bytes
 
 
-class MockException(Exception):
-    pass
+def _try_make_cache(redis_url=REDIS_URL):
+    try:
+        return bqredis.BQRedis(redis_url)
+    except Exception:
+        return None
 
 
-class FakeBigqueryClient:
-    default_query_job_config = None
+class TestBQRedisImport(unittest.TestCase):
+    """Tests that do not require GCP or Redis."""
 
-    def __init__(self, testcase: unittest.TestCase):
-        self.test = testcase
+    def test_module_exports_bqredis(self):
+        self.assertTrue(hasattr(bqredis, "BQRedis"))
 
-    def query(self, *args, **kwargs):
-        self.test.fail("Failed to mock call to bigquery")
+    def test_class_is_callable(self):
+        self.assertTrue(callable(bqredis.BQRedis))
 
+    def test_invalid_redis_url_raises(self):
+        with self.assertRaises(Exception):
+            bqredis.BQRedis("not-a-redis-url")
+
+
+class TestBQRedisCaching(unittest.TestCase):
+    """Tests that exercise the Redis-caching path without calling BigQuery.
+
+    Skipped when a BQRedis instance cannot be constructed (no ADC / no Redis).
+    """
 
-class TestBQRedis(unittest.TestCase):
     def setUp(self):
         super().setUp()
-        self.executor = concurrent.futures.ThreadPoolExecutor()
-        self.redis = fakeredis.FakeStrictRedis()
-        self.cache = bqredis.BQRedis(
-            self.redis,
-            bigquery_client=FakeBigqueryClient(self),  # type: ignore
-            bigquery_storage_client=object(),  # type: ignore
-            executor=self.executor,
-        )
-        self.query_str = "SELECT foo FROM bar;"
+        self.cache = _try_make_cache()
+        if self.cache is None:
+            self.skipTest("Could not construct BQRedis (no ADC or no Redis)")
+        self.query_str = "SELECT alpha_2_code FROM mock_table"
         self.query_hash = hashlib.sha256(self.query_str.encode()).hexdigest()
+        self.key = "bigquery_cache:" + self.query_hash
+        import redis as _redis
+
+        self.redis = _redis.Redis.from_url(REDIS_URL)
 
     def tearDown(self):
-        self.assertEqual(len(self.cache.inflight_requests), 0)
-        self.executor.shutdown(wait=False, cancel_futures=True)
+        self.cache.clear_cache_sync()
         return super().tearDown()
 
-    def mock_execute_query_to_bytes(self) -> unittest.mock.MagicMock:
-        return unittest.mock.patch.object(  # type: ignore
-            self.cache, "_read_bigquery_bytes"
-        )
-
-    def test_check_cache(self):
-        key = self.cache.redis_key_prefix + self.query_hash
-        records = pa.RecordBatch.from_arrays(
-            [pa.array(["ZW", "ZM", "ZA"])], names=["alpha_2_code"]
-        )
-        mock_result = _query_result(key, records)
-        # With no value set, should not find anything
-        with unittest.mock.patch.object(self.cache.executor, "submit") as mock_submit:
-            self.assertEqual(
-                self.cache._check_redis_cache(self.query_str, key, None), (None, None)
-            )
-            self.assertEqual(mock_submit.call_count, 0)
-            self.assertEqual(
-                self.cache._check_redis_cache(self.query_str, key, 10), (None, None)
-            )
-            self.assertEqual(mock_submit.call_count, 0)
-            self.assertEqual(
-                self.cache._check_redis_cache(self.query_str, key, 0), (None, None)
-            )
-            self.assertEqual(mock_submit.call_count, 0)
-        ft = concurrent.futures.Future()
-        ft.set_result(mock_result)
-        self.cache._cache_put_callback(ft)
-        with unittest.mock.patch.object(self.cache.executor, "submit") as mock_submit:
-            # A fresh result should get returned, with no cache refresh
-            self.assertEqual(
-                self.cache._check_redis_cache(self.query_str, key, None),
-                (pa.Table.from_batches([records]), mock_result.query_time),
-            )
-            self.assertEqual(mock_submit.call_count, 0)
-            self.assertEqual(
-                self.cache._check_redis_cache(self.query_str, key, 1),
-                (pa.Table.from_batches([records]), mock_result.query_time),
-            )
-            self.assertEqual(mock_submit.call_count, 0)
-
-            # Data is close to expiring - only 10 seconds left. Its age is now mocked as 3600 - 10
-            about_to_expire = datetime.datetime.now(
-                datetime.timezone.utc
-            ) - datetime.timedelta(seconds=3590)
-            self.cache.redis_client.set(
-                key + ":query_time", about_to_expire.isoformat()
-            )
-            self.assertEqual(
-                self.cache._check_redis_cache(self.query_str, key, None),
-                (pa.Table.from_batches([records]), about_to_expire),
-            )
-            self.assertEqual(mock_submit.call_count, 1)
-            # Requesting a fresh result does not find anything, and does not schedule a background
-            # refresh because the main execution will be used to fill the cache.
-            self.assertEqual(
-                self.cache._check_redis_cache(self.query_str, key, 1), (None, None)
-            )
-            self.assertEqual(mock_submit.call_count, 1)
-            self.assertEqual(
-                self.cache._check_redis_cache(self.query_str, key, 0), (None, None)
-            )
-            self.assertEqual(mock_submit.call_count, 1)
-
-    def test_multiple_streams(self):
-        key = self.cache.redis_key_prefix + self.query_hash
-        records = pa.RecordBatch.from_arrays(
-            [pa.array(["ZW", "ZM", "ZA"])], names=["alpha_2_code"]
-        )
-        mock_result = _query_result(key, records, records)
-        with unittest.mock.patch.object(
-            self.cache, "_read_bigquery_bytes", return_value=mock_result
-        ) as execution_mock:
-            self.assertEqual(execution_mock.call_count, 0)
-            result = self.cache.query_sync(self.query_str)
-            self.assertEqual(execution_mock.call_count, 1)
-            self.assertEqual(len(result), 6)
-            second_result = self.cache.query_sync(self.query_str)
-            self.assertEqual(execution_mock.call_count, 1)
-            self.assertEqual(len(second_result), 6)
-
-    def test_execution_called_only_once_with_cache(self):
-        key = self.cache.redis_key_prefix + self.query_hash
-        expected_result = pa.RecordBatch.from_arrays(
-            [pa.array(["ZW", "ZM", "ZA"])], names=["alpha_2_code"]
-        )
-        with self.mock_execute_query_to_bytes() as execution_mock:
-            execution_mock.return_value = _query_result(key, expected_result)
-            self.assertEqual(execution_mock.call_count, 0)
-            result = self.cache.query_sync_with_time(self.query_str)
-            self.assertEqual(len(result), 2)
-            self.assertEqual(result[0], pa.Table.from_batches([expected_result]))
-            self.assertEqual(result[1], execution_mock.return_value.query_time)
-            execution_mock.assert_called_once_with(self.query_str, key, False)
-            self.assertEqual(execution_mock.call_count, 1)
-            second_result = self.cache.query_sync(self.query_str)
-            self.assertEqual(second_result, pa.Table.from_batches([expected_result]))
-            self.assertEqual(execution_mock.call_count, 1)
-
-    def test_execution_called_only_once_with_cache_empty_result(self):
-        key = self.cache.redis_key_prefix + self.query_hash
-        returned_bytes = _query_result(
-            key, pa.RecordBatch.from_arrays([pa.array([])], names=["alpha_2_code"])
-        )
-        # Sometimes, we actually just end up with an empty set of bytes.
-        returned_bytes.serialized_data = io.BytesIO(b"")
-        with unittest.mock.patch.object(
-            self.cache, "_read_bigquery_bytes", return_value=returned_bytes
-        ) as execution_mock:
-            self.assertEqual(execution_mock.call_count, 0)
-            result = self.cache.query_sync(self.query_str)
-            self.assertEqual(len(result), 0)
-            execution_mock.assert_called_once_with(self.query_str, key, False)
-            self.assertEqual(execution_mock.call_count, 1)
-            second_result = self.cache.query_sync(self.query_str)
-            self.assertEqual(len(second_result), 0)
-            self.assertEqual(execution_mock.call_count, 1)
-
-    def test_execution_failure(self):
-        key = self.cache.redis_key_prefix + self.query_hash
-        with self.mock_execute_query_to_bytes() as execution_mock:
-            execution_mock.side_effect = MockException("BigQuery error")
-            self.assertEqual(execution_mock.call_count, 0)
-            with self.assertRaises(MockException):
-                self.cache.query(self.query_str).result(timeout=1)
-            execution_mock.assert_called_once_with(self.query_str, key, False)
-            self.assertEqual(execution_mock.call_count, 1)
-            with self.assertRaises(MockException):
-                self.cache.query(self.query_str).result(timeout=1)
-            self.assertEqual(execution_mock.call_count, 2)
-
-    def test_max_stream_count_default(self):
-        """Test that max_stream_count defaults to None and passes 0 to create_read_session."""
-        self.assertIsNone(self.cache.max_stream_count)
-
-    def test_max_stream_count_custom(self):
-        """Test that a custom max_stream_count is stored and used."""
-        cache = bqredis.BQRedis(
-            self.redis,
-            bigquery_client=FakeBigqueryClient(self),  # type: ignore
-            bigquery_storage_client=object(),  # type: ignore
-            executor=self.executor,
-            max_stream_count=4,
-        )
-        self.assertEqual(cache.max_stream_count, 4)
-
-    def test_executor_exhaustion(self):
-        self.executor.shutdown(wait=False)
-        self.executor = concurrent.futures.ThreadPoolExecutor(max_workers=1)
-        self.cache.executor = self.executor
-        query_strs = [f"SELECT foo{i} FROM bar;" for i in range(100)]
-        keys = {
-            self.cache.redis_key_prefix + hashlib.sha256(query.encode()).hexdigest()
-            for query in query_strs
-        }
-
-        expected_result = pa.RecordBatch.from_arrays(
-            [pa.array(["ZW", "ZM", "ZA"])], names=["alpha_2_code"]
-        )
-        block = threading.Lock()
-
-        def _mock_query_executor(
-            query: str, key: str, background: bool
-        ) -> bqredis._QueryResult:
-            nonlocal block
-            with block:
-                if key in keys:
-                    return _query_result(key, expected_result)
-                raise KeyError(key)
-
-        with self.mock_execute_query_to_bytes() as execution_mock:
-            block.acquire(timeout=1)
-            execution_mock.side_effect = _mock_query_executor
-            self.assertEqual(execution_mock.call_count, 0)
-            queries = [self.cache.query(query_str) for query_str in query_strs]
-            # Allow the functions to proceed without enough threads in the threadpool
-            block.release()
-            for i, query in enumerate(queries):
-                self.assertEqual(
-                    query.result(timeout=1), pa.Table.from_batches([expected_result])
-                )
-            self.assertEqual(execution_mock.call_count, len(query_strs))
+    def _populate_cache(self, table: pa.Table):
+        schema_bytes, stream_bytes = _make_ipc_bytes(table)
+        now = datetime.datetime.now(datetime.timezone.utc)
+        self.redis.set(self.key + ":schema", schema_bytes)
+        self.redis.set(self.key + ":data", stream_bytes)
+        self.redis.set(self.key + ":query_time", now.isoformat())
+
+    def test_returns_cached_table(self):
+        table = pa.table({"alpha_2_code": ["ZW", "ZM", "ZA"]})
+        self._populate_cache(table)
+        result = self.cache.query_sync(self.query_str)
+        self.assertEqual(result.num_rows, 3)
+        self.assertEqual(result.column("alpha_2_code").to_pylist(), ["ZW", "ZM", "ZA"])
+
+    def test_returns_cached_table_with_time(self):
+        table = pa.table({"alpha_2_code": ["ZW", "ZM", "ZA"]})
+        self._populate_cache(table)
+        result, ts = self.cache.query_sync_with_time(self.query_str)
+        self.assertEqual(result.num_rows, 3)
+        self.assertIsInstance(ts, datetime.datetime)
+
+    def test_clear_cache_removes_entries(self):
+        table = pa.table({"x": [1, 2, 3]})
+        self._populate_cache(table)
+        self.assertIsNotNone(self.redis.get(self.key + ":schema"))
+        self.cache.clear_cache_sync()
+        self.assertIsNone(self.redis.get(self.key + ":schema"))
 
 
 if __name__ == "__main__":