AWS Kinesis SQL的问题-随机砍伐森林算法

时间:2020-10-12 10:36:12

标签: amazon-web-services amazon-kinesis amazon-kinesis-analytics

我在AWS Kinesis应用程序中有以下代码:

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' 
         ;

我只是希望每个输入记录的异常分数计算的常规输出。

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)

我输入到模型中的数字属性的数量仅为2。另一方面,根据文档,受支持的SQL数字类型为:DOUBLE,INTEGER,FLOAT,TINYINT,SMALLINT,REAL和BIGINT。 (我也尝试过FLOAT)。

我在做什么错了?

1 个答案:

答案 0 :(得分:0)

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

我尝试过这样的JSON并起作用:

{"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>"
    }]
  }

其他信息:如果将此JSON保存在myJson.json中,则发出以下命令:

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

AWS命令行界面(CLI)必须事先安装和配置。