feat(datasource): Hive data source supports adapting to SparkThriftServer metadata parsing #1391

backend/apps/datasource/models/datasource.py

@@ -123,6 +123,7 @@ class DatasourceConf(BaseModel):
     lowVersion: bool = False
     ssl: bool = False
     poolSize: int = 5
+    engine: str = 'hive'
 
     def to_dict(self):
         return {
@@ -140,7 +141,8 @@ class DatasourceConf(BaseModel):
             "timeout": self.timeout,
             "lowVersion": self.lowVersion,
             "ssl": self.ssl,
-            "poolSize": self.poolSize
+            "poolSize": self.poolSize,
+            "engine": self.engine
         }
 
 

backend/apps/db/db.py

@@ -126,6 +126,88 @@ def get_origin_connect(type: str, conf: DatasourceConf):
         )
 
 
+def is_spark_thrift(conf: DatasourceConf) -> bool:
+    """Whether the hive datasource points to a Spark Thrift Server."""
+    engine = getattr(conf, 'engine', None) or 'hive'
+    return equals_ignore_case(engine, 'spark')
+
+
+def parse_hive_table_rows(res, is_spark: bool):
+    """Parse SHOW TABLES result rows.
+
+    - HiveServer2 returns a single `tab_name` column.
+    - Spark Thrift Server (2.4+ through 4.x) returns
+      `(database, tableName, isTemporary)`; the plain table name always sits in
+      the second column. Over the legacy Hive-JDBC path a header row named
+      `tableName` may be returned in-band, which we skip defensively.
+
+    Returns a list of (table_name, comment) tuples.
+    """
+    tables = []
+    seen = set()
+    for item in res:
+        if not item:
+            continue
+        row = [c.decode('utf-8') if isinstance(c, bytes) else c for c in item]
+        row = [str(c) if c is not None else '' for c in row]
+
+        if is_spark:
+            # Spark Thrift Server returns (database, tableName, isTemporary).
+            if len(row) >= 2:
+                # Skip a possible in-band header row over the legacy Hive-JDBC path.
+                if row[1].lower() == 'tablename':
+                    continue
+                name = row[1].strip()
+            else:
+                name = row[0].strip()
+        else:
+            # HiveServer2 returns a single tab_name column.
+            name = row[0].strip()
+
+        if not name or name in seen:
+            continue
+        seen.add(name)
+        tables.append((name, ''))
+    return tables
+
+
+def parse_hive_field_rows(res, is_spark: bool):
+    """Parse DESCRIBE table result rows for HiveServer2 and Spark Thrift Server
+    (all Spark 2.4+ versions use the same col_name/data_type/comment shape with
+    a `# Partition Information` / `# col_name` section).
+
+    On the legacy Hive-JDBC path the (col_name, data_type, comment) header may
+    also be returned in-band; we skip it defensively.
+
+    Returns a list of (field_name, field_type, field_comment) tuples.
+    """
+    fields = []
+    seen_fields = set()
+    for item in res:
+        field_name = item[0] if len(item) > 0 else None
+        field_type = item[1] if len(item) > 1 else None
+        field_comment = item[2] if len(item) > 2 else None
+
+        if not field_name or not str(field_name).strip():
+            continue
+        stripped_name = str(field_name).strip()
+
+        type_str = (field_type or '').strip() if isinstance(field_type, str) else (str(field_type).strip() if field_type else '')
+
+        # Legacy Hive-JDBC path may return the column header row as data.
+        if is_spark and stripped_name.lower() == 'col_name':
+            continue
+
+        # DESCRIBE includes section headings and repeats partition columns.
+        if stripped_name.lstrip().startswith('#') and type_str in ('', 'data_type'):
+            continue
+        if stripped_name in seen_fields:
+            continue
+        seen_fields.add(stripped_name)
+        fields.append((field_name, type_str, field_comment))
+    return fields
+
+
 # use sqlalchemy
 def get_engine(ds: CoreDatasource, timeout: int = 0, use_pool: bool = False) -> Engine:
     conf = DatasourceConf(**json.loads(aes_decrypt(ds.configuration))) if not equals_ignore_case(ds.type,
@@ -534,7 +616,7 @@ def get_tables(ds: CoreDatasource):
             with get_driver_connection(ds) as conn, conn.cursor() as cursor:
                 cursor.execute(sql)
                 res = cursor.fetchall()
-                res_list = [TableSchema(*item) for item in res]
+                res_list = [TableSchema(*item) for item in parse_hive_table_rows(res, is_spark_thrift(conf))]
                 return res_list
 
 
@@ -585,19 +667,7 @@ def get_fields(ds: CoreDatasource, table_name: str = None):
             with get_driver_pool(ds).connection() as conn, conn.cursor() as cursor:
                 cursor.execute(sql)
                 res = cursor.fetchall()
-                res_list = []
-                seen_fields = set()
-                for item in res:
-                    field_name = item[0]
-                    if not field_name or not field_name.strip():
-                        continue
-                    # DESCRIBE includes section headings and repeats partition columns.
-                    if field_name.lstrip().startswith('#') and (item[1] or '').strip() in ('', 'data_type'):
-                        continue
-                    if field_name in seen_fields:
-                        continue
-                    seen_fields.add(field_name)
-                    res_list.append(ColumnSchema(*item[:3]))
+                res_list = [ColumnSchema(*item) for item in parse_hive_field_rows(res, is_spark_thrift(conf))]
                 return res_list
 
 

backend/tests/test_hive_fields.py

@@ -41,6 +41,8 @@ def get_hive_fields():
     }
     _load_symbol("common/utils/utils.py", "equals_ignore_case", namespace)
     _load_symbol("apps/datasource/models/datasource.py", "ColumnSchema", namespace)
+    _load_symbol("apps/db/db.py", "is_spark_thrift", namespace)
+    _load_symbol("apps/db/db.py", "parse_hive_field_rows", namespace)
     get_fields = _load_symbol("apps/db/db.py", "get_fields", namespace)
 
     def discover(rows):
@@ -122,3 +124,106 @@ def test_extra_driver_columns_remain_supported(get_hive_fields):
 @pytest.mark.parametrize("rows", [[], [("", "", ""), ("# col_name", "data_type", "comment")]])
 def test_no_real_columns_returns_empty_list(get_hive_fields, rows):
     assert get_hive_fields(rows) == []
+
+
+# --- Spark Thrift Server support ---
+
+
+@pytest.fixture
+def get_hive_spark_fields():
+    cursor = Mock()
+    connection = SimpleNamespace(cursor=lambda: nullcontext(cursor))
+    pool = SimpleNamespace(connection=lambda: nullcontext(connection))
+    engine_probe = Mock(return_value=True)
+    namespace = {
+        "json": json,
+        "CoreDatasource": SimpleNamespace,
+        "DatasourceConf": SimpleNamespace,
+        "aes_decrypt": lambda value: value,
+        "DB": SimpleNamespace(
+            get_db=lambda _: SimpleNamespace(connect_type="driver")
+        ),
+        "ConnectType": SimpleNamespace(sqlalchemy="sqlalchemy"),
+        "get_driver_pool": lambda _: pool,
+        "get_field_sql": lambda *args: ("DESCRIBE sample", None, None),
+        "is_spark_thrift": engine_probe,
+    }
+    _load_symbol("common/utils/utils.py", "equals_ignore_case", namespace)
+    _load_symbol("apps/datasource/models/datasource.py", "ColumnSchema", namespace)
+    _load_symbol("apps/db/db.py", "parse_hive_field_rows", namespace)
+    get_fields = _load_symbol("apps/db/db.py", "get_fields", namespace)
+
+    def discover(rows):
+        cursor.fetchall.return_value = rows
+        fields = get_fields(SimpleNamespace(type="hive", configuration="{}"), "sample")
+        return [(field.fieldName, field.fieldType, field.fieldComment) for field in fields]
+
+    return discover
+
+
+def test_spark_describe_skips_col_name_header_row(get_hive_spark_fields):
+    # Spark Thrift Server returns the (col_name, data_type, comment) header as data.
+    rows = [("col_name", "data_type", "comment"),
+            ("id", "bigint", None),
+            ("dt", "string", "partition date")]
+    assert get_hive_spark_fields(rows) == [
+        ("id", "bigint", None),
+        ("dt", "string", "partition date"),
+    ]
+
+
+def test_spark_describe_with_partition_section(get_hive_spark_fields):
+    rows = [
+        ("col_name", "data_type", "comment"),
+        ("id", "bigint", None),
+        ("# Partition Information", "", ""),
+        ("# col_name", "data_type", "comment"),
+        ("dt", "string", "partition date"),
+    ]
+    assert get_hive_spark_fields(rows) == [
+        ("id", "bigint", None),
+        ("dt", "string", "partition date"),
+    ]
+
+
+# --- SHOW TABLES (parse_hive_table_rows) ---
+
+
+@pytest.fixture
+def get_hive_tables():
+    namespace = {"DatasourceConf": SimpleNamespace}
+    _load_symbol("apps/db/db.py", "parse_hive_table_rows", namespace)
+    _load_symbol("common/utils/utils.py", "equals_ignore_case", namespace)
+    _load_symbol("apps/db/db.py", "is_spark_thrift", namespace)
+    return namespace["parse_hive_table_rows"]
+
+
+def test_hs2_show_tables_single_column(get_hive_tables):
+    rows = [("orders",), ("users",), ("orders",)]
+    assert get_hive_tables(rows, False) == [("orders", ""), ("users", "")]
+
+
+def test_spark_show_tables_three_columns_with_header(get_hive_tables):
+    rows = [
+        ("default", "tableName", "isTemporary"),  # header row returned as data
+        ("default", "orders", "false"),
+        ("default", "users", "false"),
+        ("default", "orders", "false"),
+    ]
+    assert get_hive_tables(rows, True) == [("orders", ""), ("users", "")]
+
+
+def test_spark_show_tables_without_header(get_hive_tables):
+    rows = [("default", "sales", "false"), ("default", "inventory", "false")]
+    assert get_hive_tables(rows, True) == [("sales", ""), ("inventory", "")]
+
+
+def test_spark_show_tables_ignores_database_column_and_handles_temp_views(get_hive_tables):
+    # Spark 2.4+/3.x/4.x always returns (database, tableName, isTemporary);
+    # take the second column and tolerate an empty database (temp views).
+    rows = [
+        ("salesdb", "orders", "false"),
+        ("", "temp_view", "true"),
+        ("salesdb", "orders", "false"),
+    ]
+    assert get_hive_tables(rows, True) == [("orders", ""), ("temp_view", "")]

frontend/src/i18n/en.json

@@ -422,7 +422,10 @@
       "low_version": "Compatible with lower versions",
       "ssl": "Enable SSL",
       "file_path": "File Path",
-      "pool_size": "Connection Pool Size"
+      "pool_size": "Connection Pool Size",
+      "engine": "Engine",
+      "engine_hive": "HiveServer2",
+      "engine_spark": "Spark Thrift Server"
     },
     "sync_fields": "Sync Fields",
     "sync_fields_success": "Sync fields successfully",

frontend/src/i18n/ko-KR.json

@@ -422,7 +422,10 @@
       "low_version": "낮은 버전 호환",
       "ssl": "SSL 활성화",
       "file_path": "파일 경로",
-      "pool_size": "연결 풀 크기"
+      "pool_size": "연결 풀 크기",
+      "engine": "엔진",
+      "engine_hive": "HiveServer2",
+      "engine_spark": "Spark Thrift Server"
     },
     "sync_fields": "동기화된 테이블 구조",
     "sync_fields_success": "테이블 구조 동기화 성공",

frontend/src/i18n/th-TH.json

@@ -422,7 +422,10 @@
       "low_version": "เข้ากันได้กับเวอร์ชันต่ำกว่า",
       "ssl": "เปิดใช้งาน SSL",
       "file_path": "เส้นทางไฟล์",
-      "pool_size": "ขนาดพูลการเชื่อมต่อ"
+      "pool_size": "ขนาดพูลการเชื่อมต่อ",
+      "engine": "เอนจิน",
+      "engine_hive": "HiveServer2",
+      "engine_spark": "Spark Thrift Server"
     },
     "sync_fields": "ซิงค์โครงสร้างตาราง",
     "sync_fields_success": "ซิงค์โครงสร้างตารางสำเร็จ",

frontend/src/i18n/zh-CN.json

@@ -422,7 +422,10 @@
       "low_version": "兼容低版本",
       "ssl": "启用 SSL",
       "file_path": "文件路径",
-      "pool_size": "连接池大小"
+      "pool_size": "连接池大小",
+      "engine": "引擎",
+      "engine_hive": "HiveServer2",
+      "engine_spark": "Spark Thrift Server"
     },
     "sync_fields": "同步表结构",
     "sync_fields_success": "同步表结构成功",

frontend/src/i18n/zh-TW.json

@@ -422,7 +422,10 @@
       "low_version": "相容低版本",
       "ssl": "啟用 SSL",
       "file_path": "文件路徑",
-      "pool_size": "連線池大小"
+      "pool_size": "連線池大小",
+      "engine": "引擎",
+      "engine_hive": "HiveServer2",
+      "engine_spark": "Spark Thrift Server"
     },
     "sync_fields": "同步表結構",
     "sync_fields_success": "同步表結構成功",

frontend/src/views/ds/DatasourceForm.vue

@@ -129,6 +129,7 @@ const form = ref<any>({
   lowVersion: false,
   ssl: false,
   poolSize: 5,
+  engine: 'hive',
 })
 
 const close = () => {
@@ -182,6 +183,7 @@ const initForm = (item: any, editTable: boolean = false) => {
         configuration.poolSize !== null && configuration.poolSize !== undefined
           ? configuration.poolSize
           : 5
+      form.value.engine = configuration.engine ? configuration.engine : 'hive'
     }
 
     if (editTable) {
@@ -256,6 +258,7 @@ const initForm = (item: any, editTable: boolean = false) => {
       lowVersion: false,
       ssl: false,
       poolSize: 5,
+      engine: 'hive',
     }
   }
   dialogVisible.value = true
@@ -346,6 +349,7 @@ const buildConf = () => {
       lowVersion: form.value.lowVersion,
       ssl: form.value.ssl,
       poolSize: form.value.poolSize,
+      engine: form.value.engine,
     })
   )
   const obj = JSON.parse(JSON.stringify(form.value))
@@ -364,6 +368,7 @@ const buildConf = () => {
   delete obj.lowVersion
   delete obj.ssl
   delete obj.poolSize
+  delete obj.engine
   return obj
 }
 
@@ -738,6 +743,12 @@ defineExpose({
               <el-radio value="sid">{{ t('ds.form.mode.sid') }}</el-radio>
             </el-radio-group>
           </el-form-item>
+          <el-form-item v-if="form.type === 'hive'" :label="t('ds.form.engine')" prop="engine">
+            <el-radio-group v-model="form.engine">
+              <el-radio value="hive">{{ t('ds.form.engine_hive') }}</el-radio>
+              <el-radio value="spark">{{ t('ds.form.engine_spark') }}</el-radio>
+            </el-radio-group>
+          </el-form-item>
           <el-form-item
             v-if="form.type === 'sqlServer'"
             :label="t('ds.form.low_version')"