From e406717be8df5f8d90aab7129bdb2badac178317 Mon Sep 17 00:00:00 2001
From: Wey Gu <weyl.gu@gmail.com>
Date: Tue, 21 Mar 2023 19:59:32 +0800
Subject: [PATCH 1/2] feat: add e2e integration tests

---
 tests/integration/setup/docker-compose.yaml | 170 ++++++++++++++++++++
 tests/integration/test_e2e_spark_engine.py  |   0
 tests/{ => unit}/test_nebula_algo.py        |   0
 tests/{ => unit}/test_nebula_data.py        |   0
 tests/{ => unit}/test_nebula_reader.py      |   0
 tests/{ => unit}/test_nebula_writer.py      |   0
 6 files changed, 170 insertions(+)
 create mode 100644 tests/integration/setup/docker-compose.yaml
 create mode 100644 tests/integration/test_e2e_spark_engine.py
 rename tests/{ => unit}/test_nebula_algo.py (100%)
 rename tests/{ => unit}/test_nebula_data.py (100%)
 rename tests/{ => unit}/test_nebula_reader.py (100%)
 rename tests/{ => unit}/test_nebula_writer.py (100%)

diff --git a/tests/integration/setup/docker-compose.yaml b/tests/integration/setup/docker-compose.yaml
new file mode 100644
index 0000000..661a8fa
--- /dev/null
+++ b/tests/integration/setup/docker-compose.yaml
@@ -0,0 +1,170 @@
+services:
+  metad0:
+    labels:
+      - "com.vesoft.scope=core"
+      - "com.vesoft.role=meta"
+    container_name: nebulagraph_metad0
+    image: vesoft/nebula-metad:v3.4.0
+    environment:
+      USER: root
+    command:
+      - --meta_server_addrs=metad0:9559
+      - --local_ip=metad0
+      - --ws_ip=metad0
+      - --port=9559
+      - --ws_http_port=19559
+      - --data_path=/data/meta
+      - --log_dir=/logs
+      - --v=0
+      - --minloglevel=0
+    healthcheck:
+      test: ["CMD", "curl", "-sf", "http://metad0:19559/status"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 20s
+    ports:
+      - 9559
+      - 19559
+      - 19560
+    volumes:
+      - ./data/meta0:/data/meta
+      - ./logs/meta0:/logs
+    networks:
+      - ngai-net
+    restart: on-failure
+
+  storaged0:
+    labels:
+      - "com.vesoft.scope=core"
+      - "com.vesoft.role=storage"
+    container_name: nebulagraph_storaged0
+    image: vesoft/nebula-storaged:v3.4.0
+    environment:
+      USER: root
+    command:
+      - --meta_server_addrs=metad0:9559
+      - --local_ip=storaged0
+      - --ws_ip=storaged0
+      - --port=9779
+      - --ws_http_port=19779
+      - --data_path=/data/storage
+      - --log_dir=/logs
+      - --v=0
+      - --minloglevel=0
+    depends_on:
+      - metad0
+    healthcheck:
+      test: ["CMD", "curl", "-sf", "http://storaged0:19779/status"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 20s
+    ports:
+      - 9779
+      - 19779
+      - 19780
+    volumes:
+      - ./data/storage0:/data/storage
+      - ./logs/storage0:/logs
+    networks:
+      - ngai-net
+    restart: on-failure
+
+  graphd:
+    labels:
+      - "com.vesoft.scope=core"
+      - "com.vesoft.role=graph"
+    container_name: nebulagraph_graphd
+    image: vesoft/nebula-graphd:v3.4.0
+    environment:
+      USER: root
+    command:
+      - --meta_server_addrs=metad0:9559
+      - --port=9669
+      - --local_ip=graphd
+      - --ws_ip=graphd
+      - --ws_http_port=19669
+      - --log_dir=/logs
+      - --v=0
+      - --minloglevel=0
+    depends_on:
+      - storaged0
+    healthcheck:
+      test: ["CMD", "curl", "-sf", "http://graphd:19669/status"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 20s
+    ports:
+      - "39669:9669"
+      - 19669
+      - 19670
+    volumes:
+      - ./logs/graph:/logs
+    networks:
+      - ngai-net
+    restart: on-failure
+
+  juptyer_spark:
+    labels:
+      - "com.vesoft.scope=ngai"
+    image: 'weygu/pyspark-notebook-nebulagraph:2.4.5-hadoop2.7'
+    container_name: juptyer_spark
+    restart: always
+    ports:
+      - '28888:8888'
+    volumes:
+      - ./:/root
+    networks:
+      - ngai-net
+    healthcheck:
+      test: ["CMD", "netstat", "-plunt", "| grep 8888"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 20s
+    environment:
+      - PYSPARK_PYTHON=python3
+
+  ngai_graphd:
+    labels:
+      - "com.vesoft.scope=ngai"
+    image: weygu/ngai-graphd:2023.03.13
+    container_name: ngai_graphd
+    environment:
+      USER: root
+      ng_ai_gateway_url_prefix: "http://jupyter:9999"
+    command:
+      - --meta_server_addrs=metad0:9559,metad1:9559,metad2:9559
+      - --port=9669
+      - --local_ip=ngai_graphd
+      - --ws_ip=ngai_graphd
+      - --ws_http_port=19669
+      - --log_dir=/logs
+      - --v=5
+      - --minloglevel=0
+      - --enable_udf=true
+      - --udf_path=/udf/
+    healthcheck:
+      test: ["CMD", "curl", "-sf", "http://ngai_graphd:19669/status"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 20s
+    ports:
+      - "29669:9669"
+      - 19669
+      - 19670
+    volumes:
+      - ./logs/ngai_graphd:/logs
+      - ./udf:/udf
+    networks:
+      - ngai-net
+    restart: on-failure
+    cap_add:
+      - SYS_PTRACE
+
+networks:
+  ngai-net:
+  external: true
diff --git a/tests/integration/test_e2e_spark_engine.py b/tests/integration/test_e2e_spark_engine.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/test_nebula_algo.py b/tests/unit/test_nebula_algo.py
similarity index 100%
rename from tests/test_nebula_algo.py
rename to tests/unit/test_nebula_algo.py
diff --git a/tests/test_nebula_data.py b/tests/unit/test_nebula_data.py
similarity index 100%
rename from tests/test_nebula_data.py
rename to tests/unit/test_nebula_data.py
diff --git a/tests/test_nebula_reader.py b/tests/unit/test_nebula_reader.py
similarity index 100%
rename from tests/test_nebula_reader.py
rename to tests/unit/test_nebula_reader.py
diff --git a/tests/test_nebula_writer.py b/tests/unit/test_nebula_writer.py
similarity index 100%
rename from tests/test_nebula_writer.py
rename to tests/unit/test_nebula_writer.py

From 2e1c6480cc2d371946969ce4480bf2f4681a24d5 Mon Sep 17 00:00:00 2001
From: Wey Gu <weyl.gu@gmail.com>
Date: Wed, 22 Mar 2023 22:08:04 +0800
Subject: [PATCH 2/2] feat: integration end to end test

---
 .gitignore                                    |  15 +-
 HACKING.md                                    |  23 ++
 README.md                                     |  16 +-
 examples/ng_ai_from_ngql_udf.ipynb            |   2 +-
 examples/run_ng_ai_api.py                     |   2 +-
 examples/spark_engine.ipynb                   |  22 +-
 ng_ai/engines.py                              |   8 +-
 pdm.lock                                      | 389 +++++++++++++++++-
 pyproject.toml                                |  83 +++-
 tests/integration/README.md                   |   6 +
 .../notebooks/spark_engine_e2e.ipynb          | 188 +++++++++
 tests/integration/setup/docker-compose.yaml   |  47 ++-
 tests/integration/spark_engine_cases/algo.py  |  23 ++
 .../spark_engine_cases/query_reader.py        |  24 ++
 .../spark_engine_cases/scan_reader.py         |  20 +
 .../integration/spark_engine_cases/writer.py  |  39 ++
 tests/integration/test_e2e_spark_engine.py    | 191 +++++++++
 17 files changed, 1054 insertions(+), 44 deletions(-)
 create mode 100644 HACKING.md
 create mode 100644 tests/integration/README.md
 create mode 100644 tests/integration/notebooks/spark_engine_e2e.ipynb
 create mode 100644 tests/integration/spark_engine_cases/algo.py
 create mode 100644 tests/integration/spark_engine_cases/query_reader.py
 create mode 100644 tests/integration/spark_engine_cases/scan_reader.py
 create mode 100644 tests/integration/spark_engine_cases/writer.py

diff --git a/.gitignore b/.gitignore
index 204d745..ceef717 100644
--- a/.gitignore
+++ b/.gitignore
@@ -137,4 +137,17 @@ requirements.txt
 
 # ide
 
-.vscode
\ No newline at end of file
+.vscode
+
+# integration
+
+.bash_history
+.jupyter
+.ipython
+.local
+data
+logs
+download
+run
+*.gz
+*.whl
diff --git a/HACKING.md b/HACKING.md
new file mode 100644
index 0000000..21b6a4c
--- /dev/null
+++ b/HACKING.md
@@ -0,0 +1,23 @@
+## Hacking
+
+```bash
+pip3 install pdm
+# build and install ng_ai
+pdm install
+# run unit tests
+pdm run test
+# run integration tests
+pdm run int-test
+# lint
+pdm run lint
+# format
+pdm run format
+
+# integration tests environment setup
+pdm run dockerup
+pdm run dockerdown
+pdm run dockerstatus
+
+# integration tests environment teardown
+pdm run teardown
+```
\ No newline at end of file
diff --git a/README.md b/README.md
index c094b11..52f9f04 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-<img alt="NebulaGraph Data Intelligence Suite(ng_ai)" src="https://user-images.githubusercontent.com/1651790/226242809-fe488ff2-bb4a-4e7d-b23a-70865a7b3228.png">
+<img alt="NebulaGraph AI Suite(ng_ai)" src="https://user-images.githubusercontent.com/1651790/226242809-fe488ff2-bb4a-4e7d-b23a-70865a7b3228.png">
 
 <p align="center">
     <em>NebulaGraph AI Suite with 4 line code to run Graph Algo on NebulaGraph</em>
@@ -136,7 +136,7 @@ ng_ai is an unified abstraction layer for different engines, the current impleme
     Engine└───────────────────────────────────────────────────┘
        │  ┌────────────────────────────────────────────────────┬──────────┐
        └──┤                                                    │          │
-          │   NebulaGraph Data Intelligence Suite(ngai)        │ ngai-api │◀─┐
+          │   NebulaGraph AI Suite(ngai)                       │ ngai-api │◀─┐
           │                                                    │          │  │
           │                                                    └──────────┤  │
           │     ┌────────┐    ┌──────┐    ┌────────┐   ┌─────┐            │  │
@@ -196,17 +196,7 @@ ng_ai is an unified abstraction layer for different engines, the current impleme
 
 ## Contributing
 
-```bash
-pip3 install pdm
-# build and install ng_ai
-pdm install
-# run tests
-pdm run test
-# lint
-pdm run lint
-# format
-pdm run format
-```
+See HACKING.md for details.
 
 ## License
 
diff --git a/examples/ng_ai_from_ngql_udf.ipynb b/examples/ng_ai_from_ngql_udf.ipynb
index ca36229..cc4c2d4 100644
--- a/examples/ng_ai_from_ngql_udf.ipynb
+++ b/examples/ng_ai_from_ngql_udf.ipynb
@@ -79,7 +79,7 @@
    "source": [
     "from ng_ai import ng_ai_api_app as app\n",
     "\n",
-    "app.run(port=9999, host='0.0.0.0')"
+    "app.run(port=9999, host=\"0.0.0.0\")"
    ]
   },
   {
diff --git a/examples/run_ng_ai_api.py b/examples/run_ng_ai_api.py
index 5cf02b4..2949f2d 100644
--- a/examples/run_ng_ai_api.py
+++ b/examples/run_ng_ai_api.py
@@ -1,3 +1,3 @@
 from ng_ai import ng_ai_api_app as app
 
-app.run(port=9999, host='0.0.0.0')
+app.run(port=9999, host="0.0.0.0")
diff --git a/examples/spark_engine.ipynb b/examples/spark_engine.ipynb
index bf2b065..aeaa934 100644
--- a/examples/spark_engine.ipynb
+++ b/examples/spark_engine.ipynb
@@ -20,20 +20,22 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "5b4e4143",
    "metadata": {},
    "source": [
-    "## Data Intelligence Suite Spark Engine Examples\n",
+    "## AI Suite Spark Engine Examples\n",
     "### read data with spark engine, scan mode"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "f17abcf8",
    "metadata": {},
    "source": [
-    "In this example, we are leveraging the Spark Engine of NebulaGraph DI Suite, with the Storage Scan mode.\n",
+    "In this example, we are leveraging the Spark Engine of NebulaGraph AI Suite, with the Storage Scan mode.\n",
     "\n",
     "#### Step 1, get dataframe by scanning the Graph\n",
     "\n",
@@ -50,7 +52,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "[Stage 0:>                                                          (0 + 1) / 1]"
      ]
     },
@@ -72,13 +74,14 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\r",
+      "\r\n",
       "                                                                                \r"
      ]
     }
    ],
    "source": [
     "from ng_ai import NebulaReader\n",
+    "\n",
     "# read data with spark engine, scan mode\n",
     "reader = NebulaReader(engine=\"spark\")\n",
     "reader.scan(edge=\"follow\", props=\"degree\")\n",
@@ -246,6 +249,7 @@
    ],
    "source": [
     "from ng_ai import NebulaReader\n",
+    "\n",
     "# read data with spark engine, query mode\n",
     "reader = NebulaReader(engine=\"spark\")\n",
     "query = \"\"\"\n",
@@ -253,7 +257,7 @@
     "    RETURN e LIMIT 100000\n",
     "\"\"\"\n",
     "reader.query(query=query, edge=\"follow\", props=\"degree\")\n",
-    "df = reader.read() # this will take some time\n",
+    "df = reader.read()  # this will take some time\n",
     "df.show(2)"
    ]
   },
@@ -517,12 +521,12 @@
     "from ng_ai.config import NebulaGraphConfig\n",
     "\n",
     "config = NebulaGraphConfig()\n",
-    "writer = NebulaWriter(data=df_result, sink=\"nebulagraph_vertex\", config=config, engine=\"spark\")\n",
+    "writer = NebulaWriter(\n",
+    "    data=df_result, sink=\"nebulagraph_vertex\", config=config, engine=\"spark\"\n",
+    ")\n",
     "\n",
     "# map column louvain into property cluster_id\n",
-    "properties = {\n",
-    "    \"lpa\": \"cluster_id\"\n",
-    "}\n",
+    "properties = {\"lpa\": \"cluster_id\"}\n",
     "\n",
     "writer.set_options(\n",
     "    tag=\"label_propagation\",\n",
diff --git a/ng_ai/engines.py b/ng_ai/engines.py
index 8799bda..67d8c6e 100644
--- a/ng_ai/engines.py
+++ b/ng_ai/engines.py
@@ -38,13 +38,13 @@ def __init__(self, config):
         self.shuffle_partitions = DEFAULT_SHUFFLE_PARTITIONS
         self.executor_memory = DEFAULT_EXECUTOR_MEMORY
         self.driver_memory = DEFAULT_DRIVER_MEMORY
-        self.encode_vertex_id = ENCODE_VERTEX_ID
+        self.encode_vid = ENCODE_VERTEX_ID
         self.parse_config()
 
         from pyspark.sql import SparkSession
 
         self.spark = (
-            SparkSession.builder.appName("NebulaGraph Data Intelligence")
+            SparkSession.builder.appName("NebulaGraph AI")
             .config("spark.sql.shuffle.partitions", self.shuffle_partitions)
             .config("spark.executor.memory", self.executor_memory)
             .config("spark.driver.memory", self.driver_memory)
@@ -76,8 +76,8 @@ def parse_config(self):
         if self.config.driver_memory is not None:
             self.driver_memory = self.config.driver_memory
 
-        if self.config.encode_vertex_id is not None:
-            self.encode_vertex_id = self.config.encode_vertex_id
+        if self.config.encode_vid is not None:
+            self.encode_vid = self.config.encode_vid
 
     def prepare(self):
         self.java_import = self._get_java_import()
diff --git a/pdm.lock b/pdm.lock
index 1c98446..7f996e0 100644
--- a/pdm.lock
+++ b/pdm.lock
@@ -1,12 +1,22 @@
 # This file is @generated by PDM.
 # It is not intended for manual editing.
 
+[[package]]
+name = "appnope"
+version = "0.1.3"
+summary = "Disable App Nap on macOS >= 10.9"
+
 [[package]]
 name = "attrs"
 version = "22.2.0"
 requires_python = ">=3.6"
 summary = "Classes Without Boilerplate"
 
+[[package]]
+name = "backcall"
+version = "0.2.0"
+summary = "Specifications for callback functions passed in to an API"
+
 [[package]]
 name = "black"
 version = "23.1.0"
@@ -23,6 +33,30 @@ dependencies = [
     "typing-extensions>=3.10.0.0; python_version < \"3.10\"",
 ]
 
+[[package]]
+name = "black"
+version = "23.1.0"
+extras = ["jupyter"]
+requires_python = ">=3.7"
+summary = "The uncompromising code formatter."
+dependencies = [
+    "black==23.1.0",
+    "ipython>=7.8.0",
+    "tokenize-rt>=3.2.0",
+]
+
+[[package]]
+name = "certifi"
+version = "2022.12.7"
+requires_python = ">=3.6"
+summary = "Python package for providing Mozilla's CA Bundle."
+
+[[package]]
+name = "charset-normalizer"
+version = "3.1.0"
+requires_python = ">=3.7.0"
+summary = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+
 [[package]]
 name = "chispa"
 version = "0.9.2"
@@ -45,6 +79,12 @@ version = "0.4.6"
 requires_python = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 summary = "Cross-platform colored terminal text."
 
+[[package]]
+name = "decorator"
+version = "5.1.1"
+requires_python = ">=3.5"
+summary = "Decorators for Humans"
+
 [[package]]
 name = "exceptiongroup"
 version = "1.1.1"
@@ -76,6 +116,27 @@ dependencies = [
     "itsdangerous>=2.0",
 ]
 
+[[package]]
+name = "future"
+version = "0.18.3"
+requires_python = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+summary = "Clean single-source support for Python 3 and 2"
+
+[[package]]
+name = "httplib2"
+version = "0.22.0"
+requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+summary = "A comprehensive HTTP client library."
+dependencies = [
+    "pyparsing!=3.0.0,!=3.0.1,!=3.0.2,!=3.0.3,<4,>=2.4.2; python_version > \"3.0\"",
+]
+
+[[package]]
+name = "idna"
+version = "3.4"
+requires_python = ">=3.5"
+summary = "Internationalized Domain Names in Applications (IDNA)"
+
 [[package]]
 name = "importlib-metadata"
 version = "4.2.0"
@@ -92,6 +153,26 @@ version = "2.0.0"
 requires_python = ">=3.7"
 summary = "brain-dead simple config-ini parsing"
 
+[[package]]
+name = "ipython"
+version = "7.34.0"
+requires_python = ">=3.7"
+summary = "IPython: Productive Interactive Computing"
+dependencies = [
+    "appnope; sys_platform == \"darwin\"",
+    "backcall",
+    "colorama; sys_platform == \"win32\"",
+    "decorator",
+    "jedi>=0.16",
+    "matplotlib-inline",
+    "pexpect>4.3; sys_platform != \"win32\"",
+    "pickleshare",
+    "prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0",
+    "pygments",
+    "setuptools>=18.5",
+    "traitlets>=4.2",
+]
+
 [[package]]
 name = "isort"
 version = "5.11.5"
@@ -104,6 +185,15 @@ version = "2.1.2"
 requires_python = ">=3.7"
 summary = "Safely pass data to untrusted environments and back."
 
+[[package]]
+name = "jedi"
+version = "0.18.2"
+requires_python = ">=3.6"
+summary = "An autocompletion tool for Python that can be used for text editors."
+dependencies = [
+    "parso<0.9.0,>=0.8.0",
+]
+
 [[package]]
 name = "jinja2"
 version = "3.1.2"
@@ -119,6 +209,15 @@ version = "2.1.2"
 requires_python = ">=3.7"
 summary = "Safely add untrusted strings to HTML/XML markup."
 
+[[package]]
+name = "matplotlib-inline"
+version = "0.1.6"
+requires_python = ">=3.5"
+summary = "Inline Matplotlib backend for Jupyter"
+dependencies = [
+    "traitlets",
+]
+
 [[package]]
 name = "mccabe"
 version = "0.7.0"
@@ -131,6 +230,17 @@ version = "1.0.0"
 requires_python = ">=3.5"
 summary = "Type system extensions for programs checked with the mypy type checker."
 
+[[package]]
+name = "nebula3-python"
+version = "3.4.0"
+summary = "Python client for NebulaGraph V3.4"
+dependencies = [
+    "future>=0.18.0",
+    "httplib2>=0.20.0",
+    "pytz>=2021.1",
+    "six>=1.16.0",
+]
+
 [[package]]
 name = "networkx"
 version = "2.6.3"
@@ -143,12 +253,31 @@ version = "23.0"
 requires_python = ">=3.7"
 summary = "Core utilities for Python packages"
 
+[[package]]
+name = "parso"
+version = "0.8.3"
+requires_python = ">=3.6"
+summary = "A Python Parser"
+
 [[package]]
 name = "pathspec"
 version = "0.11.1"
 requires_python = ">=3.7"
 summary = "Utility library for gitignore style pattern matching of file paths."
 
+[[package]]
+name = "pexpect"
+version = "4.8.0"
+summary = "Pexpect allows easy control of interactive console applications."
+dependencies = [
+    "ptyprocess>=0.5",
+]
+
+[[package]]
+name = "pickleshare"
+version = "0.7.5"
+summary = "Tiny 'shelve'-like database with concurrency support"
+
 [[package]]
 name = "platformdirs"
 version = "3.1.1"
@@ -167,6 +296,20 @@ dependencies = [
     "importlib-metadata>=0.12; python_version < \"3.8\"",
 ]
 
+[[package]]
+name = "prompt-toolkit"
+version = "3.0.38"
+requires_python = ">=3.7.0"
+summary = "Library for building powerful interactive command lines in Python"
+dependencies = [
+    "wcwidth",
+]
+
+[[package]]
+name = "ptyprocess"
+version = "0.7.0"
+summary = "Run a subprocess in a pseudo terminal"
+
 [[package]]
 name = "py4j"
 version = "0.10.9.5"
@@ -184,6 +327,18 @@ version = "2.5.0"
 requires_python = ">=3.6"
 summary = "passive checker of Python programs"
 
+[[package]]
+name = "pygments"
+version = "2.14.0"
+requires_python = ">=3.6"
+summary = "Pygments is a syntax highlighting package written in Python."
+
+[[package]]
+name = "pyparsing"
+version = "3.0.9"
+requires_python = ">=3.6.8"
+summary = "pyparsing module - Classes and methods to define and execute parsing grammars"
+
 [[package]]
 name = "pyspark"
 version = "3.3.2"
@@ -209,12 +364,53 @@ dependencies = [
     "tomli>=1.0.0; python_version < \"3.11\"",
 ]
 
+[[package]]
+name = "pytz"
+version = "2022.7.1"
+summary = "World timezone definitions, modern and historical"
+
+[[package]]
+name = "requests"
+version = "2.28.2"
+requires_python = ">=3.7, <4"
+summary = "Python HTTP for Humans."
+dependencies = [
+    "certifi>=2017.4.17",
+    "charset-normalizer<4,>=2",
+    "idna<4,>=2.5",
+    "urllib3<1.27,>=1.21.1",
+]
+
+[[package]]
+name = "setuptools"
+version = "67.6.0"
+requires_python = ">=3.7"
+summary = "Easily download, build, install, upgrade, and uninstall Python packages"
+
+[[package]]
+name = "six"
+version = "1.16.0"
+requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+summary = "Python 2 and 3 compatibility utilities"
+
+[[package]]
+name = "tokenize-rt"
+version = "5.0.0"
+requires_python = ">=3.7"
+summary = "A wrapper around the stdlib `tokenize` which roundtrips."
+
 [[package]]
 name = "tomli"
 version = "2.0.1"
 requires_python = ">=3.7"
 summary = "A lil' TOML parser"
 
+[[package]]
+name = "traitlets"
+version = "5.9.0"
+requires_python = ">=3.7"
+summary = "Traitlets Python configuration system"
+
 [[package]]
 name = "typed-ast"
 version = "1.5.4"
@@ -227,6 +423,17 @@ version = "4.5.0"
 requires_python = ">=3.7"
 summary = "Backported and Experimental Type Hints for Python 3.7+"
 
+[[package]]
+name = "urllib3"
+version = "1.26.15"
+requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+summary = "HTTP library with thread-safe connection pooling, file post, and more."
+
+[[package]]
+name = "wcwidth"
+version = "0.2.6"
+summary = "Measures the displayed width of unicode strings in a terminal"
+
 [[package]]
 name = "werkzeug"
 version = "2.2.3"
@@ -244,13 +451,21 @@ summary = "Backport of pathlib-compatible object wrapper for zip files"
 
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+    {url = "https://files.pythonhosted.org/packages/c3/9e/8a7ba2c9984a060daa6c6f9fff4d576b7ace3936239d6b771541eab972ed/setuptools-67.6.0-py3-none-any.whl", hash = "sha256:b78aaa36f6b90a074c1fa651168723acbf45d14cb1196b6f02c0fd07f17623b2"},
+]
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+    {url = "https://files.pythonhosted.org/packages/d9/5a/e7c31adbe875f2abbb91bd84cf2dc52d792b5a01506781dbcf25c91daf11/six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
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+    {url = "https://files.pythonhosted.org/packages/40/01/fb40ea8c465f680bf7aa3f5bee39c62ba8b7f52c38048c27aa95aff4f779/tokenize_rt-5.0.0.tar.gz", hash = "sha256:3160bc0c3e8491312d0485171dea861fc160a240f5f5766b72a1165408d10740"},
+    {url = "https://files.pythonhosted.org/packages/8d/12/4c7495f25b4c9131706f3aaffb185d4de32c02a6ee49d875e929c5b7c919/tokenize_rt-5.0.0-py2.py3-none-any.whl", hash = "sha256:c67772c662c6b3dc65edf66808577968fb10badfc2042e3027196bed4daf9e5a"},
+]
 "tomli 2.0.1" = [
     {url = "https://files.pythonhosted.org/packages/97/75/10a9ebee3fd790d20926a90a2547f0bf78f371b2f13aa822c759680ca7b9/tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
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 ]
+"traitlets 5.9.0" = [
+    {url = "https://files.pythonhosted.org/packages/39/c3/205e88f02959712b62008502952707313640369144a7fded4cbc61f48321/traitlets-5.9.0.tar.gz", hash = "sha256:f6cde21a9c68cf756af02035f72d5a723bf607e862e7be33ece505abf4a3bad9"},
+    {url = "https://files.pythonhosted.org/packages/77/75/c28e9ef7abec2b7e9ff35aea3e0be6c1aceaf7873c26c95ae1f0d594de71/traitlets-5.9.0-py3-none-any.whl", hash = "sha256:9e6ec080259b9a5940c797d58b613b5e31441c2257b87c2e795c5228ae80d2d8"},
+]
 "typed-ast 1.5.4" = [
     {url = "https://files.pythonhosted.org/packages/04/93/482d12fd3334b53ec4087e658ab161ab23affcf8b052166b4cf972ca673b/typed_ast-1.5.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:6778e1b2f81dfc7bc58e4b259363b83d2e509a65198e85d5700dfae4c6c8ff1c"},
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@@ -455,6 +834,14 @@ content_hash = "sha256:744e451e5442eda41d35ca976c8ea011eb0f1aae04f1c23af3847063d
     {url = "https://files.pythonhosted.org/packages/31/25/5abcd82372d3d4a3932e1fa8c3dbf9efac10cc7c0d16e78467460571b404/typing_extensions-4.5.0-py3-none-any.whl", hash = "sha256:fb33085c39dd998ac16d1431ebc293a8b3eedd00fd4a32de0ff79002c19511b4"},
     {url = "https://files.pythonhosted.org/packages/d3/20/06270dac7316220643c32ae61694e451c98f8caf4c8eab3aa80a2bedf0df/typing_extensions-4.5.0.tar.gz", hash = "sha256:5cb5f4a79139d699607b3ef622a1dedafa84e115ab0024e0d9c044a9479ca7cb"},
 ]
+"urllib3 1.26.15" = [
+    {url = "https://files.pythonhosted.org/packages/21/79/6372d8c0d0641b4072889f3ff84f279b738cd8595b64c8e0496d4e848122/urllib3-1.26.15.tar.gz", hash = "sha256:8a388717b9476f934a21484e8c8e61875ab60644d29b9b39e11e4b9dc1c6b305"},
+    {url = "https://files.pythonhosted.org/packages/7b/f5/890a0baca17a61c1f92f72b81d3c31523c99bec609e60c292ea55b387ae8/urllib3-1.26.15-py2.py3-none-any.whl", hash = "sha256:aa751d169e23c7479ce47a0cb0da579e3ede798f994f5816a74e4f4500dcea42"},
+]
+"wcwidth 0.2.6" = [
+    {url = "https://files.pythonhosted.org/packages/20/f4/c0584a25144ce20bfcf1aecd041768b8c762c1eb0aa77502a3f0baa83f11/wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"},
+    {url = "https://files.pythonhosted.org/packages/5e/5f/1e4bd82a9cc1f17b2c2361a2d876d4c38973a997003ba5eb400e8a932b6c/wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"},
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 "werkzeug 2.2.3" = [
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diff --git a/pyproject.toml b/pyproject.toml
index f614e44..662db2f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,7 +6,7 @@ ng_ai-api = {call = "ng_ai.ng_ai_api.__main__:run"}
 [tool.pdm.scripts.test]
 shell = """
     pdm update -dG dev
-    pytest
+    pytest tests/unit/
 """
 
 [tool.pdm.scripts.lint]
@@ -21,7 +21,70 @@ shell = """
 shell = """
     pdm update -dG lint
     isort ng_ai tests
-    black --line-length 84 ng_ai tests
+    black --line-length 84 ng_ai tests examples
+"""
+
+[tool.pdm.scripts.dockerup]
+shell = """
+    echo "Downloading jar packages for NebulaGraph Algorithm"
+    mkdir -p tests/integration/setup/download
+    mkdir -p tests/integration/setup/udf
+    ALGO_VERSION="3.1.0"
+    SPARK_C_VERSION="3.4.0"
+    wget -O tests/integration/setup/download/nebula-algo.jar https://repo1.maven.org/maven2/com/vesoft/nebula-algorithm/$ALGO_VERSION/nebula-algorithm-$ALGO_VERSION.jar
+    # wget -O tests/integration/setup/download/nebula-spark-connector.jar https://repo1.maven.org/maven2/com/vesoft/nebula-spark-connector/$SPARK_C_VERSION/nebula-spark-connector-$SPARK_C_VERSION.jar
+    wget -O tests/integration/setup/udf/ng_ai.so https://github.com/wey-gu/nebulagraph-ai/releases/download/0.2.9/ng_ai-ubuntu-2004-nebulagraph-nightly-2023.03.13.so
+    chmod +x tests/integration/setup/udf/ng_ai.so
+    echo "Starting NebulaGraph"
+ 
+    docker-compose -f 'tests/integration/setup/docker-compose.yaml' up -d --remove-orphans
+    echo "Waiting for NebulaGraph to start..."
+    sleep 10
+    for i in {1..50}; do docker-compose -f 'tests/integration/setup/docker-compose.yaml' ps | grep "unhealthy\\|starting" | wc -l | grep -q 0 && break; echo Waiting for another 5 sec; sleep 5; done
+    echo "NebulaGraph is up and running, removing console container"
+    docker-compose -f 'tests/integration/setup/docker-compose.yaml' stop console
+    docker-compose -f 'tests/integration/setup/docker-compose.yaml' rm -f console
+    docker-compose -f 'tests/integration/setup/docker-compose.yaml' ps
+"""
+
+[tool.pdm.scripts.dockerstatus]
+shell = """
+    docker-compose -f 'tests/integration/setup/docker-compose.yaml' ps
+"""
+
+[tool.pdm.scripts.dockerdown]
+shell = """
+    docker-compose -f 'tests/integration/setup/docker-compose.yaml' down
+"""
+
+[tool.pdm.scripts.teardown]
+shell = """
+    docker-compose -f 'tests/integration/setup/docker-compose.yaml' down
+    rm -fr tests/integration/setup/download
+    rm -fr tests/integration/setup/udf
+"""
+
+[tool.pdm.scripts.int-test]
+shell = """
+    pdm update -dG dev
+    pdm run dockerup
+
+    mkdir -p tests/integration/setup/build/
+
+    echo "Build and Install ng_ai to jupyter_spark, master_spark container"
+    pdm build --dest tests/integration/setup/build/
+
+    docker exec -it master_spark sh -c 'pip3 uninstall ng_ai -y'
+    docker exec -it master_spark sh -c 'pip3 install /root/build/*.whl'
+    docker restart master_spark
+    docker exec -it jupyter_spark sh -c 'pip3 uninstall ng_ai -y'
+    docker exec -it jupyter_spark sh -c 'pip3 install /root/build/*.whl'
+    docker restart jupyter_spark
+    sleep 7
+    echo "Run integration tests"
+
+    pytest tests/integration/
+    pdm run dockerdown
 """
 
 [tool.black]
@@ -47,21 +110,17 @@ atomic = true
 skip_glob = ["*/setup.py"]
 filter_files = true
 
-[tool.pdm.dev-dependencies]
-dev = [
-    "pytest>=7.2.2",
-]
-
 [project]
 name = "ng_ai"
-version = "0.2.9.2"
-description = "NebulaGraph Data Intelligence Suite"
+version = "0.2.9.5"
+description = "NebulaGraph AI Suite"
 authors = [
     {name = "Wey Gu", email = "weyl.gu@gmail.com"},
 ]
 dependencies = [
     "flask>=2.0.3",
     "networkx>=2.5.1",
+    "nebula3-python",
 ]
 # pyspark for unit test cannot work with python 3.10
 requires-python = ">=3.7,<3.10"
@@ -73,16 +132,18 @@ requires = ["pdm-pep517>=1.0"]
 build-backend = "pdm.pep517.api"
 
 [project.optional-dependencies]
+# pyspark 2.4.8 doesn't work with python 3.8+, so we use 3.2.3
 spark = ["pyspark>=3.2.3"]
 networkx = ["networkx>=2.5.1"]
 all = ["ng_ai[spark,networkx]"]
 lint = [
     "flake8>=4.0.1",
-    "black>=23.1.0",
+    "black[jupyter]>=23.1.0",
     "isort>=5.11.5",
 ]
 test = [
     "pytest>=7.2.2",
-    "chispa"
+    "chispa",
+    "requests",
 ]
 dev = ["ng_ai[all,lint,test]"]
diff --git a/tests/integration/README.md b/tests/integration/README.md
new file mode 100644
index 0000000..16cf295
--- /dev/null
+++ b/tests/integration/README.md
@@ -0,0 +1,6 @@
+
+## Run in verbose mode
+
+```bash
+pytest -s tests/integration/
+```
diff --git a/tests/integration/notebooks/spark_engine_e2e.ipynb b/tests/integration/notebooks/spark_engine_e2e.ipynb
new file mode 100644
index 0000000..8cda942
--- /dev/null
+++ b/tests/integration/notebooks/spark_engine_e2e.ipynb
@@ -0,0 +1,188 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "8a6e2678",
+   "metadata": {},
+   "source": [
+    "## Test Reader Scan Mode"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dc946910",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ng_ai import NebulaReader\n",
+    "from ng_ai import NebulaGraphConfig\n",
+    "\n",
+    "config_dict = {\n",
+    "    \"graphd_hosts\": \"graphd:9669\",\n",
+    "    \"metad_hosts\": \"metad0:9559\",\n",
+    "    \"user\": \"root\",\n",
+    "    \"password\": \"nebula\",\n",
+    "    \"space\": \"basketballplayer\",\n",
+    "}\n",
+    "config = NebulaGraphConfig(**config_dict)\n",
+    "reader = NebulaReader(engine=\"spark\", config=config)\n",
+    "reader.scan(edge=\"follow\", props=\"degree\")\n",
+    "df = reader.read()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "acf8ea34",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.show(2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "170f8c38",
+   "metadata": {},
+   "source": [
+    "## Test Algo Pagerank"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "03975505",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pr_result = df.algo.pagerank(reset_prob=0.15, max_iter=10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2b157bcb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pr_result.show(5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6051622d",
+   "metadata": {},
+   "source": [
+    "## Test Reader Query Mode"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a05a12ad",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ng_ai import NebulaReader\n",
+    "from ng_ai.config import NebulaGraphConfig\n",
+    "\n",
+    "# read data with spark engine, query mode\n",
+    "config_dict = {\n",
+    "    \"graphd_hosts\": \"graphd:9669\",\n",
+    "    \"metad_hosts\": \"metad0:9559\",\n",
+    "    \"user\": \"root\",\n",
+    "    \"password\": \"nebula\",\n",
+    "    \"space\": \"basketballplayer\",\n",
+    "}\n",
+    "config = NebulaGraphConfig(**config_dict)\n",
+    "reader = NebulaReader(engine=\"spark\", config=config)\n",
+    "query = \"\"\"\n",
+    "    MATCH ()-[e:follow]->()\n",
+    "    RETURN e LIMIT 100000\n",
+    "\"\"\"\n",
+    "reader.query(query=query, edge=\"follow\", props=\"degree\")\n",
+    "df = reader.read()  # this will take some time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bfc30c38",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.show(2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "311b49c4",
+   "metadata": {},
+   "source": [
+    "## Test Writer insert mode in sink: `nebulagraph_vertex`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3d25ad22",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ng_ai import NebulaWriter\n",
+    "from ng_ai.config import NebulaGraphConfig\n",
+    "\n",
+    "\n",
+    "df_result = df.algo.label_propagation()\n",
+    "\n",
+    "config_dict = {\n",
+    "    \"graphd_hosts\": \"graphd:9669\",\n",
+    "    \"metad_hosts\": \"metad0:9559\",\n",
+    "    \"user\": \"root\",\n",
+    "    \"password\": \"nebula\",\n",
+    "    \"space\": \"basketballplayer\",\n",
+    "}\n",
+    "config = NebulaGraphConfig(**config_dict)\n",
+    "\n",
+    "writer = NebulaWriter(\n",
+    "    data=df_result, sink=\"nebulagraph_vertex\", config=config, engine=\"spark\"\n",
+    ")\n",
+    "\n",
+    "# map column louvain into property cluster_id\n",
+    "properties = {\"lpa\": \"cluster_id\"}\n",
+    "\n",
+    "writer.set_options(\n",
+    "    tag=\"label_propagation\",\n",
+    "    vid_field=\"_id\",\n",
+    "    properties=properties,\n",
+    "    batch_size=256,\n",
+    "    write_mode=\"insert\",\n",
+    ")\n",
+    "# write back to NebulaGraph\n",
+    "writer.write()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/tests/integration/setup/docker-compose.yaml b/tests/integration/setup/docker-compose.yaml
index 661a8fa..32f77ab 100644
--- a/tests/integration/setup/docker-compose.yaml
+++ b/tests/integration/setup/docker-compose.yaml
@@ -106,11 +106,11 @@ services:
       - ngai-net
     restart: on-failure
 
-  juptyer_spark:
+  jupyter_spark:
     labels:
       - "com.vesoft.scope=ngai"
     image: 'weygu/pyspark-notebook-nebulagraph:2.4.5-hadoop2.7'
-    container_name: juptyer_spark
+    container_name: jupyter_spark
     restart: always
     ports:
       - '28888:8888'
@@ -127,6 +127,27 @@ services:
     environment:
       - PYSPARK_PYTHON=python3
 
+  master_spark:
+    networks:
+      - ngai-net
+    volumes:
+      - ./:/root
+    image: 'bde2020/spark-master:2.4.5-hadoop2.7'
+    container_name: master_spark
+    ports:
+      - 37077:7077
+      - 36066:6066
+      - 38080:8080
+    healthcheck:
+      test: ["CMD", "netstat", "-plunt", "| grep 8080"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 20s
+    environment:
+      - PYSPARK_PYTHON=python3
+      - INIT_DAEMON_STEP=setup_spark
+
   ngai_graphd:
     labels:
       - "com.vesoft.scope=ngai"
@@ -165,6 +186,26 @@ services:
     cap_add:
       - SYS_PTRACE
 
+  console:
+    image: vesoft/nebula-console:v3
+    container_name: ngai_console
+    entrypoint: ""
+    command: 
+      - sh
+      - -c
+      - |
+        for i in `seq 1 180`;do
+          var=`nebula-console -addr graphd -port 9669 -u root -p nebula -e 'ADD HOSTS "storaged0":9779'`;
+          if [[ $$? == 0 ]];then
+            break;
+          fi;
+          sleep 1;
+          echo "retry to add hosts.";
+        done && tail -f /dev/null;
+    depends_on:
+      - graphd
+    networks:
+      - ngai-net
+
 networks:
   ngai-net:
-  external: true
diff --git a/tests/integration/spark_engine_cases/algo.py b/tests/integration/spark_engine_cases/algo.py
new file mode 100644
index 0000000..7fd9e0a
--- /dev/null
+++ b/tests/integration/spark_engine_cases/algo.py
@@ -0,0 +1,23 @@
+from ng_ai import NebulaGraphConfig, NebulaReader
+
+config_dict = {
+    "graphd_hosts": "graphd:9669",
+    "metad_hosts": "metad0:9559",
+    "user": "root",
+    "password": "nebula",
+    "space": "basketballplayer",
+}
+config = NebulaGraphConfig(**config_dict)
+reader = NebulaReader(engine="spark", config=config)
+reader.scan(edge="follow", props="degree")
+df = reader.read()
+
+pr_result = df.algo.pagerank(reset_prob=0.15, max_iter=10)
+
+pr_result.show(5)
+
+"""
+/spark/bin/spark-submit \
+    --jars /root/download/nebula-algo.jar \
+    /root/run/algo.py
+"""
diff --git a/tests/integration/spark_engine_cases/query_reader.py b/tests/integration/spark_engine_cases/query_reader.py
new file mode 100644
index 0000000..41388b3
--- /dev/null
+++ b/tests/integration/spark_engine_cases/query_reader.py
@@ -0,0 +1,24 @@
+from ng_ai import NebulaGraphConfig, NebulaReader
+
+# read data with spark engine, query mode
+config_dict = {
+    "graphd_hosts": "graphd:9669",
+    "metad_hosts": "metad0:9559",
+    "user": "root",
+    "password": "nebula",
+    "space": "basketballplayer",
+}
+config = NebulaGraphConfig(**config_dict)
+reader = NebulaReader(engine="spark", config=config)
+query = """
+    MATCH ()-[e:follow]->()
+    RETURN e LIMIT 100000
+"""
+reader.query(query=query, edge="follow", props="degree")
+df = reader.read()
+
+"""
+/spark/bin/spark-submit \
+    --jars /root/download/nebula-algo.jar \
+    /root/run/query_reader.py
+"""
diff --git a/tests/integration/spark_engine_cases/scan_reader.py b/tests/integration/spark_engine_cases/scan_reader.py
new file mode 100644
index 0000000..a14c2c7
--- /dev/null
+++ b/tests/integration/spark_engine_cases/scan_reader.py
@@ -0,0 +1,20 @@
+from ng_ai import NebulaGraphConfig, NebulaReader
+
+config_dict = {
+    "graphd_hosts": "graphd:9669",
+    "metad_hosts": "metad0:9559",
+    "user": "root",
+    "password": "nebula",
+    "space": "basketballplayer",
+}
+config = NebulaGraphConfig(**config_dict)
+reader = NebulaReader(engine="spark", config=config)
+reader.scan(edge="follow", props="degree")
+df = reader.read()
+df.show(2)
+
+"""
+/spark/bin/spark-submit \
+    --jars /root/download/nebula-algo.jar \
+    /root/run/scan_reader.py
+"""
diff --git a/tests/integration/spark_engine_cases/writer.py b/tests/integration/spark_engine_cases/writer.py
new file mode 100644
index 0000000..f3b7f75
--- /dev/null
+++ b/tests/integration/spark_engine_cases/writer.py
@@ -0,0 +1,39 @@
+from ng_ai import NebulaReader, NebulaWriter
+from ng_ai.config import NebulaGraphConfig
+
+config_dict = {
+    "graphd_hosts": "graphd:9669",
+    "metad_hosts": "metad0:9559",
+    "user": "root",
+    "password": "nebula",
+    "space": "basketballplayer",
+}
+config = NebulaGraphConfig(**config_dict)
+reader = NebulaReader(engine="spark", config=config)
+reader.scan(edge="follow", props="degree")
+df = reader.read()
+
+df_result = df.algo.label_propagation()
+
+writer = NebulaWriter(
+    data=df_result, sink="nebulagraph_vertex", config=config, engine="spark"
+)
+
+# map column louvain into property cluster_id
+properties = {"lpa": "cluster_id"}
+
+writer.set_options(
+    tag="label_propagation",
+    vid_field="_id",
+    properties=properties,
+    batch_size=256,
+    write_mode="insert",
+)
+# write back to NebulaGraph
+writer.write()
+
+"""
+/spark/bin/spark-submit \
+    --jars /root/download/nebula-algo.jar \
+    /root/run/writer.py
+"""
diff --git a/tests/integration/test_e2e_spark_engine.py b/tests/integration/test_e2e_spark_engine.py
index e69de29..44d4974 100644
--- a/tests/integration/test_e2e_spark_engine.py
+++ b/tests/integration/test_e2e_spark_engine.py
@@ -0,0 +1,191 @@
+import os
+import subprocess
+from time import sleep
+
+import pytest
+from nebula3.Config import Config
+from nebula3.gclient.net import ConnectionPool
+
+
+@pytest.fixture(scope="session", autouse=True)
+def prepare_data():
+    print("Setup data...")
+    subprocess.run(
+        "docker run --rm --network setup_ngai-net vesoft/nebula-console:v3"
+        ' -addr graphd -port 9669 -u root -p nebula -e " '
+        'DROP SPACE basketballplayer;" ',
+        shell=True,
+        check=True,
+    )
+    sleep(4)
+    result = subprocess.run(
+        "docker run --rm --network setup_ngai-net vesoft/nebula-console:v3"
+        ' -addr graphd -port 9669 -u root -p nebula -e " '
+        ':play basketballplayer" ',
+        shell=True,
+        check=True,
+        capture_output=True,
+        timeout=300,
+    )
+    print(f":play basketballplayer: {result}")
+
+    subprocess.run(
+        "docker run --rm --network setup_ngai-net vesoft/nebula-console:v3"
+        ' -addr graphd -port 9669 -u root -p nebula -e " '
+        'USE basketballplayer; SUBMIT JOB STATS" ',
+        shell=True,
+        check=True,
+        capture_output=True,
+    )
+
+    result = subprocess.run(
+        "docker run --rm --network setup_ngai-net vesoft/nebula-console:v3"
+        ' -addr graphd -port 9669 -u root -p nebula -e " '
+        "USE basketballplayer; "
+        "CREATE TAG IF NOT EXISTS label_propagation "
+        '(cluster_id string NOT NULL);" ',
+        shell=True,
+        check=True,
+        capture_output=True,
+    )
+    sleep(4)
+    assert (
+        b"ERROR" not in result.stdout
+    ), f"ERROR during create tag: {result.stdout.decode('utf-8')}"
+
+    result = subprocess.run(
+        "docker run --rm --network setup_ngai-net vesoft/nebula-console:v3"
+        ' -addr graphd -port 9669 -u root -p nebula -e " '
+        "USE basketballplayer; "
+        'SHOW STATS;" ',
+        shell=True,
+        check=True,
+        capture_output=True,
+    )
+    print(f"Show stats:\n{result.stdout.decode('utf-8')}")
+
+    os.system("mkdir -p tests/integration/setup/run")
+    os.system("rm -rf tests/integration/setup/run/*")
+
+    os.system(
+        "cp -r tests/integration/spark_engine_cases/* tests/integration/setup/run/"
+    )
+    sleep(10)
+    print("Setup data done...")
+
+
+def test_scan_reader_spark_engine():
+    """
+    Just call:
+    /spark/bin/spark-submit \
+        --jars /root/download/nebula-algo.jar \
+        /root/run/scan_reader.py
+    in container: master_spark
+    assert the return value is 0
+    """
+
+    result = subprocess.run(
+        "docker exec master_spark /spark/bin/spark-submit "
+        "--jars /root/download/nebula-algo.jar "
+        "/root/run/scan_reader.py",
+        shell=True,
+        check=True,
+        capture_output=True,
+    )
+
+    assert result.returncode == 0, f"ERROR during run scan_reader.py: {result}"
+    print(f"Scan reader result:\n{result.stdout.decode('utf-8')}")
+
+
+def test_scan_reader_spark_engine_and_run_pagerank():
+    """
+    Just call:
+    /spark/bin/spark-submit \
+        --jars /root/download/nebula-algo.jar \
+        /root/run/algo.py
+    in container: master_spark
+    assert the return value is 0
+    """
+
+    result = subprocess.run(
+        "docker exec master_spark /spark/bin/spark-submit "
+        "--jars /root/download/nebula-algo.jar "
+        "/root/run/algo.py",
+        shell=True,
+        check=True,
+        capture_output=True,
+    )
+
+    assert result.returncode == 0, f"ERROR during run algo.py: {result}"
+    print(f"Scan reader result:\n{result.stdout.decode('utf-8')}")
+
+
+def test_query_reader_spark_engine():
+    """
+    Just call:
+    /spark/bin/spark-submit \
+        --jars /root/download/nebula-algo.jar \
+        /root/run/query_reader.py
+    in container: master_spark
+    assert the return value is 0
+    """
+
+    result = subprocess.run(
+        "docker exec master_spark /spark/bin/spark-submit "
+        "--jars /root/download/nebula-algo.jar "
+        "/root/run/query_reader.py",
+        shell=True,
+        check=True,
+        capture_output=True,
+    )
+
+    assert result.returncode == 0, f"ERROR during run query_reader.py: {result}"
+    print(f"Query reader result:\n{result.stdout.decode('utf-8')}")
+
+
+def test_label_propagation_spark_engine_writer():
+    """
+    Just call:
+    /spark/bin/spark-submit \
+        --jars /root/download/nebula-algo.jar \
+        /root/run/writer.py
+    in container: master_spark
+    assert the return value is 0
+    Then query NebulaGraph on tag: label_propagation
+    assert the result is correct
+    """
+
+    result = subprocess.run(
+        "docker exec master_spark /spark/bin/spark-submit "
+        "--jars /root/download/nebula-algo.jar "
+        "/root/run/writer.py",
+        shell=True,
+        check=True,
+        capture_output=True,
+    )
+
+    assert result.returncode == 0, f"ERROR during run writer.py: {result}"
+    print(f"Label propagation result:\n{result.stdout.decode('utf-8')}")
+
+    nebula_config = Config()
+    connection_pool = ConnectionPool()
+    connection_pool.init([("127.0.0.1", 39669)], nebula_config)
+
+    with connection_pool.session_context("root", "nebula") as session:
+        session.execute("USE basketballplayer")
+        result = session.execute(
+            "MATCH (v:player) RETURN v.label_propagation.cluster_id LIMIT 1"
+        )
+        print(result)
+    connection_pool.close()
+
+    assert result.is_succeeded(), f"ERROR during query NebulaGraph: {result}"
+    assert (
+        not result.is_empty()
+    ), f"label_propagation not written to NebulaGraph result: {result}"
+    assert (
+        result.column_values("v.label_propagation.cluster_id")[0]
+        .cast()
+        .startswith("player")
+    ), f"label_propagation value is not correct result: {result}"
+    print(f"Label propagation result:\n{result}")