diff --git a/test_runner/deep_layers_with_delta.py b/test_runner/deep_layers_with_delta.py
new file mode 100644
index 000000000000..9d8dea0bf5cf
--- /dev/null
+++ b/test_runner/deep_layers_with_delta.py
@@ -0,0 +1,76 @@
+from pathlib import Path
+import time
+from fixtures.common_types import Lsn, TenantId, TenantShardId, TimelineId
+from fixtures.pageserver.http import PageserverHttpClient
+
+ps_http = PageserverHttpClient(port=9898, is_testing_enabled_or_skip=lambda: None)
+vps_http = PageserverHttpClient(port=1234, is_testing_enabled_or_skip=lambda: None)
+
+tenants = ps_http.tenant_list()
+assert len(tenants) == 1
+tenant_id = tenants[0]["id"]
+
+timlines = ps_http.timeline_list(tenant_id)
+assert len(timlines) == 1
+timeline_id = timlines[0]["timeline_id"]
+
+config = {
+    "gc_period": "0s",  # disable periodic gc
+    "checkpoint_timeout": "10 years",
+    "compaction_period": "0s",  # disable periodic compaction so we control when it happens
+    "compaction_threshold": 100000, # we just want L0s
+    "compaction_target_size": 134217728,
+    "checkpoint_distance": 268435456,
+    "image_creation_threshold": 100000, # we just want L0s
+}
+
+vps_http.set_tenant_config(tenant_id, config)
+
+connstr = "postgresql://cloud_admin@localhost:55432/postgres"
+
+import psycopg2
+
+def last_record_lsn(
+    pageserver_http_client: PageserverHttpClient,
+    tenant: TenantId | TenantShardId,
+    timeline: TimelineId,
+) -> Lsn:
+    detail = pageserver_http_client.timeline_detail(tenant, timeline)
+
+    lsn_str = detail["last_record_lsn"]
+    assert isinstance(lsn_str, str)
+    return Lsn(lsn_str)
+
+conn = psycopg2.connect(connstr)
+conn.autocommit = True
+cur = conn.cursor()
+
+# each tuple is 23 (header) + 100 bytes = 123 bytes
+# page header si 24 bytes
+# 8k page size
+# (8k-24bytes) / 123 bytes = 63 tuples per page
+# set fillfactor to 10 to have 6 tuples per page
+cur.execute("DROP TABLE IF EXISTS data")
+cur.execute("CREATE TABLE data(row char(100)) with (fillfactor=10)")
+desired_size = 50 * 1024 * 1024  # 50MiB
+need_pages = desired_size // 8192
+need_rows = need_pages * 6
+print(f"Need {need_pages} pages, {need_rows} rows")
+cur.execute(f"INSERT INTO data SELECT i % 6 FROM generate_series(1, {need_rows}) as i")
+
+# every iteration updates one tuple in each page
+for i in range( 0, 20):
+    print(i)
+    cur.execute(f"UPDATE data set row = ((row::bigint + 1) % 6) where row::bigint % 6 = {i}")
+    cur.execute("SELECT pg_current_wal_flush_lsn()")
+    flush_lsn = Lsn(cur.fetchall()[0][0])
+
+    while True:
+        last_record = last_record_lsn(ps_http, tenant_id, timeline_id)
+        if last_record >= flush_lsn:
+            break
+        time.sleep(0.1)
+
+    ps_http.timeline_checkpoint(tenant_id, timeline_id)
+    ps_http.timeline_compact(tenant_id, timeline_id)
+