diff --git a/spark_executor/core/pending_store.py b/spark_executor/core/pending_store.py
new file mode 100644
index 0000000..661229e
--- /dev/null
+++ b/spark_executor/core/pending_store.py
@@ -0,0 +1,80 @@
+# coding=utf-8
+"""
+@Time   :2026/6/24
+@Author :tao.chen
+"""
+import json
+import os
+import tempfile
+from pathlib import Path
+from threading import Lock
+
+from spark_executor.models import PendingSubmission
+
+DEFAULT_DATA_DIR = os.environ.get("SPARK_EXECUTOR_DATA_DIR", "./data")
+DEFAULT_FILE_NAME = "pending_jobs.json"
+
+
+class PendingStore:
+    """JSON-backed CRUD for PendingSubmission records.
+
+    File path: <DEFAULT_DATA_DIR>/<DEFAULT_FILE_NAME>.
+    Atomic writes (tempfile + os.replace), same as ConnectionStore.
+    """
+
+    def __init__(self, data_dir: str | None = None, file_name: str = DEFAULT_FILE_NAME) -> None:
+        self._data_dir = data_dir or DEFAULT_DATA_DIR
+        self._file_name = file_name
+        self._lock = Lock()
+
+    @property
+    def path(self) -> Path:
+        return Path(self._data_dir) / self._file_name
+
+    def _load(self) -> dict[str, PendingSubmission]:
+        if not self.path.exists():
+            return {}
+        raw = json.loads(self.path.read_text(encoding="utf-8"))
+        return {pid: PendingSubmission.model_validate(p) for pid, p in raw.items()}
+
+    def _dump(self, records: dict[str, PendingSubmission]) -> None:
+        os.makedirs(self._data_dir, exist_ok=True)
+        payload = {pid: p.model_dump() for pid, p in records.items()}
+        fd, tmp_path = tempfile.mkstemp(
+            prefix=self._file_name + ".", dir=self._data_dir
+        )
+        try:
+            with os.fdopen(fd, "w", encoding="utf-8") as f:
+                json.dump(payload, f, indent=2, ensure_ascii=False, default=str)
+            os.replace(tmp_path, self.path)
+        except Exception:
+            if os.path.exists(tmp_path):
+                os.unlink(tmp_path)
+            raise
+
+    def list_all(self) -> list[PendingSubmission]:
+        with self._lock:
+            return list(self._load().values())
+
+    def get(self, pending_id: str) -> PendingSubmission | None:
+        with self._lock:
+            return self._load().get(pending_id)
+
+    def save(self, pending: PendingSubmission) -> None:
+        with self._lock:
+            records = self._load()
+            records[pending.pending_id] = pending
+            self._dump(records)
+
+    def delete(self, pending_id: str) -> bool:
+        with self._lock:
+            records = self._load()
+            if pending_id not in records:
+                return False
+            del records[pending_id]
+            self._dump(records)
+            return True
+
+
+# Module-level singleton; replaced in tests.
+store = PendingStore()
diff --git a/tests/unit/test_pending_store.py b/tests/unit/test_pending_store.py
new file mode 100644
index 0000000..43a42c4
--- /dev/null
+++ b/tests/unit/test_pending_store.py
@@ -0,0 +1,78 @@
+# coding=utf-8
+from datetime import datetime
+from pathlib import Path
+
+import pytest
+
+from spark_executor.core import pending_store
+from spark_executor.models import PendingSubmission
+
+
+def _pending(pid: str = "p_1") -> PendingSubmission:
+    return PendingSubmission(
+        pending_id=pid,
+        connection="prod",
+        master="yarn",
+        deploy_mode="cluster",
+        script_path="/tmp/j.py",
+        queue="default",
+        executor_memory="4G",
+        executor_cores=2,
+        num_executors=2,
+        spark_conf={},
+        created_at=datetime(2026, 6, 24),
+    )
+
+
+@pytest.fixture(autouse=True)
+def _fresh(tmp_path: Path, monkeypatch):
+    monkeypatch.setattr(pending_store, "DEFAULT_DATA_DIR", str(tmp_path))
+    monkeypatch.setattr(pending_store, "store", pending_store.PendingStore())
+
+
+def test_save_then_get_roundtrip():
+    pending_store.store.save(_pending())
+    out = pending_store.store.get("p_1")
+    assert out is not None
+    assert out.connection == "prod"
+    assert out.master == "yarn"
+
+
+def test_save_persists_to_json(tmp_path: Path):
+    pending_store.store.save(_pending())
+    path = tmp_path / "pending_jobs.json"
+    assert path.is_file()
+
+
+def test_get_missing_returns_none():
+    assert pending_store.store.get("missing") is None
+
+
+def test_list_all_empty_when_file_absent():
+    assert pending_store.store.list_all() == []
+
+
+def test_list_all_returns_saved():
+    pending_store.store.save(_pending("a"))
+    pending_store.store.save(_pending("b"))
+    assert {p.pending_id for p in pending_store.store.list_all()} == {"a", "b"}
+
+
+def test_save_upserts_existing():
+    pending_store.store.save(_pending("a"))
+    updated = _pending("a")
+    updated.status = "SUBMITTED"
+    updated.job_id = "j_1"
+    pending_store.store.save(updated)
+    assert pending_store.store.get("a").status == "SUBMITTED"
+    assert pending_store.store.get("a").job_id == "j_1"
+
+
+def test_delete_returns_true_when_present():
+    pending_store.store.save(_pending())
+    assert pending_store.store.delete("p_1") is True
+    assert pending_store.store.get("p_1") is None
+
+
+def test_delete_returns_false_when_absent():
+    assert pending_store.store.delete("nope") is False