AWS Kinesis SQL 的问题 - 随机森林砍伐算法

Question

我在 AWS Kinesis 应用程序中有此代码：

CREATE OR REPLACE STREAM "OUT_FILE" (
        "fechaTS"              timestamp,
        "celda"                varchar(25),
        "Field1"               DOUBLE,
        "Field2"               DOUBLE,
        "ANOMALY_SCORE"        DOUBLE,
        "ANOMALY_EXPLANATION"  varchar(1024)
        );

CREATE OR REPLACE PUMP "PMP_OUT" AS
   INSERT INTO "OUT_FILE"
      SELECT STREAM 
        "fechaTS",
        "celda",
        "Field1",
        "Field2",
        "ANOMALY_SCORE",
        "ANOMALY_EXPLANATION"
      FROM TABLE(RANDOM_CUT_FOREST_WITH_EXPLANATION(
                 CURSOR(SELECT STREAM * FROM "SOURCE_SQL_STREAM_001"), 300, 512, 8064, 4, true))
  WHERE "celda" = 'CELLNUMBER' 
         ;

我只是期望每个输入记录的异常分数计算的通常输出。

相反，我收到此错误消息：

Number of numeric attributes should be less than or equal to 30 (Please check the documentation to know the supported numeric SQL types)

我提供给模型的数字属性的数量只有 2。另一方面，支持的 SQL 数字类型是这些，根据文档：DOUBLE、INTEGER、FLOAT、TINYINT、SMALLINT、REAL 和 BIGINT。 （我也尝试过 FLOAT）。

我究竟做错了什么？

Answer 1

解决方案是在输入模式级别将变量定义为 DOUBLE（或其他可接受的类型）：在 SQL 中将它们定义为 DOUBLE 是不够的。

我尝试了这样的 JSON 并工作：

{"ApplicationName": "<myAppName>",
 "Inputs": [{
   "InputSchema": {
            "RecordColumns": [{"Mapping": "fechaTS", "Name": "fechaTS", "SqlType": "timestamp"},
                              {"Mapping": "celda","Name": "celda","SqlType": "varchar(25)"},
                              {"Mapping": "Field1","Name": "Field1","SqlType": "DOUBLE"},
                              {"Mapping": "Field2","Name": "Field2","SqlType": "DOUBLE"},
                              {"Mapping": "Field3","Name": "Field3","SqlType": "DOUBLE"}],
            "RecordFormat": {"MappingParameters": {"JSONMappingParameters": {"RecordRowPath": "$"}},
                             "RecordFormatType": "JSON"}
            },
    "KinesisStreamsInput": {"ResourceARN": "<myInputARN>", "RoleARN": "<myRoleARN>"},
    "NamePrefix": "<myNamePrefix>"
    }]
  }

附加信息：如果您将此 JSON 保存在 myJson.json 中，则发出以下命令：

aws kinesisanalytics create-application --cli-input-json file://myJson.json

必须事先安装和配置 AWS 命令​​行界面 (CLI)。