)]}' { "commit": "8a704f32a25980a39e43c3352a73c395e9950cc4", "tree": "6eae5e21b50fccf277b413fbef89137152943e33", "parents": [ "653e315ba5441707168c9c9a64f421037f305a4c" ], "author": { "name": "Wencong Liu", "email": "104502720+WencongLiu@users.noreply.github.com", "time": "Wed Oct 15 12:15:26 2025 +0800" }, "committer": { "name": "GitHub", "email": "noreply@github.com", "time": "Wed Oct 15 12:15:26 2025 +0800" }, "message": "[feature] Introduce Python UDF / UDTF based on CPython multi-process runtime (#56877)\n\n### Overview\nThis PR introduces full support for Python User-Defined Functions (UDF)\nand User-Defined Table Functions (UDTF) in Doris, aligning with existing\nJava UDF/UDTF syntax while addressing key requirements like high\nconcurrency, dependency isolation, and batch processing capabilities.\n\n### Key Features \u0026 Implementations\n#### 1. Syntax Design for Python UDF/UDTF\n- **Python UDF**:\n- Follows standard `CREATE FUNCTION` syntax with `PROPERTIES` for\nconfiguration\n - Mandatory properties:\n- `file`: HTTP path to UDF compression package (e.g., Aliyun OSS/Toutiao\nTOS: `https://tos.byted.org/user/udf.zip`)\n - `symbol`: Entry point filename of user code\n - `type`: Set to `PYTHON_UDF` to identify Python implementation\n - Example:\n ```sql\n CREATE FUNCTION my_python_udf(INT) RETURNS INT PROPERTIES (\n \"file\"\u003d\"https://tos.byted.org/user/udf.zip\",\n \"symbol\"\u003d\"get_result\",\n \"type\"\u003d\"PYTHON_UDF\"\n );\n ```\n\n- **Python UDTF**:\n - Uses `CREATE TABLES FUNCTION` keyword (aligns with Java UDTF)\n- Mandatory return type: `ARRAY\u003cT\u003e` (element type maps to actual TF\noutput type)\n - Shares same `PROPERTIES` configuration as UDF\n - Example:\n ```sql\nCREATE TABLES FUNCTION my_python_udtf(STRING, STRING) RETURNS\nARRAY\u003cSTRING\u003e PROPERTIES (\n \"file\"\u003d\"https://tos.byted.org/user/udf.zip\",\n \"symbol\"\u003d\"get_result\",\n \"type\"\u003d\"PYTHON_UDF\"\n );\n ```\n\n#### 2. Python Code Specification\n- **UDF Code Requirements**:\n - Entry function must be named `evaluate`\n- Number of `evaluate` parameters must match SQL function\u0027s input count\n- Supports 1:1 (single input → single output) or M:1 (multiple inputs →\nsingle output) semantics\n - Example:\n ```python\n def evaluate(arg1, arg2):\n # User-defined processing logic\n return processed_result\n ```\n\n- **UDTF Code Requirements**:\n - Entry function must be named `evaluate`\n- Number of `evaluate` parameters must match SQL function\u0027s input count\n - Uses `yield` to return multiple results (1:M semantics)\n - Example:\n ```python\n def evaluate(text, delimiter):\n # Split string by delimiter and return multiple results\n for item in text.split(delimiter):\n yield item\n ```\n \n\n#### 3. Type Mapping (SQL ↔ Python 3)\n| SQL Type | Python 3 Type | Notes |\n\n|-------------------------|---------------------|----------------------------------------|\n| TINYINT/SMALLINT/INT/BIGINT | int | Numeric types |\n| BOOLEAN | bool | Boolean type |\n| FLOAT/DOUBLE | float | Floating-point types |\n| CHAR/VARCHAR/STRING | str | String types |\n| ARRAY\u003cT\u003e | list[T] | T supports numeric/string types |\n| MAP\u003cK, V\u003e | dict[K, V] | K/V support numeric/string types |\n\n#### 4. Runtime Architecture\n- **Multi-Process Model**:\n- Addresses Python GIL (Global Interpreter Lock) limitation (critical\nfor Python 3.12 and earlier; 3.13 lock-free mode is experimental)\n- Doris BE acts as **Client**; Python subprocesses act as **UDF\nServers**\n- 1:1 mapping between BE execution threads and UDF Servers (ensures\nconcurrency alignment)\n- UDF Servers are reused across multiple Pipeline Tasks within the same\nBE thread\n\n- **Inter-Process Communication**:\n - Based on Python `marshal` module\u0027s C interface\n- Serializes Python objects to byte strings for pipe-based transmission\n- Ensures efficient and reliable data exchange between BE and UDF\nServers\n\n#### 5. Batch Execution Capability\n- **High-Concurrency Optimization**:\n- Introduces a batch processing interface that handles multiple input\nrows per `evaluate` call\n- Activated by adding the `\"batch_size\"` property (with value \u003e 1) in\nthe UDF registration SQL\n- Input parameter for batch processing becomes `batch_args` (a list of\ntuples, where each tuple represents one row of inputs)\n- SQL function signature remains unchanged (still declares individual\ninput/output types rather than list types)\n- Supports user-side multi-threading (via\n`concurrent.futures.ThreadPoolExecutor`) for parallel processing of\nbatch data\n- Delivers **multi-fold concurrency improvement**, particularly valuable\nfor LLM processing and external API call scenarios\n - Example:\n ```python\n from concurrent.futures import ThreadPoolExecutor\n\n def evaluate(batch_args) -\u003e list[int]:\n # Multi-threaded processing example for batch inputs\n with ThreadPoolExecutor(max_workers\u003d32) as executor:\n # Process each row in batch_args using thread pool\nfutures \u003d [executor.submit(handle, arg1, arg2) for (arg1, arg2) in\nbatch_args]\n return [f.result() for f in futures]\n ```\n\n - Corresponding SQL registration:\n ```sql\n use {database_name};\n \nCREATE FUNCTION batch_process(STRING, FLOAT) RETURNS INT PROPERTIES (\n \"file\"\u003d\"https://tosv.byted.org/obj/flow-byte-rag/pyudf.zip\",\n \"symbol\"\u003d\"batch_process\",\n \"type\"\u003d\"PYTHON_UDF\",\n \"batch_size\"\u003d\"32\" -- Triggers batch execution when value \u003e 1\n );\n ```\n\n#### 6. Dependency Isolation\n- Stores third-party dependencies of different UDFs in separate\ndirectories\n - Eliminates dependency conflicts between UDFs\n\n### Compatibility Guarantee\n- Strictly based on CPython interpreter (ensures 100% compatibility with\nmachine learning libraries relying on C extensions)\n- Aligns with existing Doris UDF/UDTF syntax patterns (minimizes\nlearning cost for users)\n\nCo-authored-by: Wencong Liu \u003cliuwencong@bytedance.com\u003e", "tree_diff": [ { "type": "modify", "old_id": "bdee6fc7663b3a580f91cb04218f87e0d537adb4", "old_mode": 33188, "old_path": ".gitignore", "new_id": "6c6eb9b25f4e3b07d9d55a5235ba3009c2c575b6", "new_mode": 33188, "new_path": ".gitignore" }, { "type": "modify", "old_id": "0305e886ef964a8afb95ec0e4e72212989b92b0a", "old_mode": 33188, "old_path": "be/CMakeLists.txt", "new_id": "0e15b8a84c36e4190f6b5d5430411a7efe87b7f9", "new_mode": 33188, "new_path": "be/CMakeLists.txt" }, { "type": "modify", "old_id": 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