Datax的txtfilereader插件實踐


一、介紹

TxtFileReader提供了讀取本地文件系統數據存儲的能力。在底層實現上,TxtFileReader獲取本地文件數據,並轉換為DataX傳輸協議傳遞給Writer。

二、配置模版

{
    "setting": {},
    "job": {
        "setting": {
            "speed": {
                "channel": 2
            }
        },
        "content": [
            {
                "reader": {
                    "name": "txtfilereader",
                    "parameter": {
                        "path": ["/home/haiwei.luo/case00/data"],
                        "encoding": "UTF-8",
                        "column": [
                            {
                                "index": 0,
                                "type": "long"
                            },
                            {
                                "index": 1,
                                "type": "boolean"
                            },
                            {
                                "index": 2,
                                "type": "double"
                            },
                            {
                                "index": 3,
                                "type": "string"
                            },
                            {
                                "index": 4,
                                "type": "date",
                                "format": "yyyy.MM.dd"
                            }
                        ],
                        "fieldDelimiter": ","
                    }
                },
                "writer": {
                    "name": "txtfilewriter",
                    "parameter": {
                        "path": "/home/haiwei.luo/case00/result",
                        "fileName": "luohw",
                        "writeMode": "truncate",
                        "format": "yyyy-MM-dd"
                    }
                }
            }
        ]
    }
}

三、使用說明

  1. 支持且僅支持讀取TXT的文件,且要求TXT中shema為一張二維表。

  2. 支持類CSV格式文件,自定義分隔符。

  3. 支持多種類型數據讀取(使用String表示),支持列裁剪,支持列常量

 

四、實踐

最近需要導一張表,原來的表數據是存放在hive上的,利用python腳本處理數據之后直接插入到hive的。現在是要將這張表的數據導入到greenplum中。表數據在7200萬左右

方法:將hive數據導出成csv文件,利用datax導入到greenplum

 

開干:

配置json文件

{
    "content":[
        {
            "reader":{
                "name":"txtfilereader",
                "parameter":{
                    "column":[
                        {
                            "format":"yyyy-MM-dd",
                            "index":0,
                            "type":"date"
                        },
                        {
                            "index":1,
                            "type":"string"
                        },
                        {
                            "index":2,
                            "type":"string"
                        },
                        {
                            "index":3,
                            "type":"string"
                        },
                        {
                            "index":4,
                            "type":"string"
                        },
                        {
                            "index":5,
                            "type":"long"
                        },
                        {
                            "index":6,
                            "type":"long"
                        },
                        {
                            "index":7,
                            "type":"long"
                        },
                        {
                            "index":8,
                            "type":"long"
                        }
                    ],
                    "encoding":"utf-8",
                    "fieldDelimiter":",",
                    "path":[
                        "/home/tianyafu/flux_timecount_action.csv"
                    ]
                }
            },
            "writer":{
                "name":"gpdbwriter",
                "parameter":{
                    "column":[
                        "record_date",
                        "outid",
                        "tm_type",
                        "serv",
                        "app",
                        "down_flux",
                        "up_flux",
                        "seconds",
                        "count"
                    ],
                    "connection":[
                        {
                            "jdbcUrl":"jdbc:postgresql://192.168.100.21:5432/ods",
                            "table":[
                                "ods_flux_timecount_action"
                            ]
                        }
                    ],
                    "password":"******",
                    "segment_reject_limit":0,
                    "username":"admin"
                }
            }
        }
    ],
    "setting":{
        "errorLimit":{
            "percentage":0.02,
            "record":0
        },
        "speed":{
            "channel":"1"
        }
    }
}

 

然后就失敗了呀

 

 

確定錯誤是數據中有null值,無法轉換為Long類型。

查詢到解決方法是添加:

nullFormat配置項

nullFormat

描述:文本文件中無法使用標准字符串定義null(空指針),DataX提供nullFormat定義哪些字符串可以表示為null。

例如如果用戶配置: nullFormat:"\N",那么如果源頭數據是"\N",DataX視作null字段。

必選:否 

默認值:\N 

那就加上唄,

{
    "content":[
        {
            "reader":{
                "name":"txtfilereader",
                "parameter":{
                    "column":[
                        {
                            "format":"yyyy-MM-dd",
                            "index":0,
                            "type":"date"
                        },
                        {
                            "index":1,
                            "type":"string"
                        },
                        {
                            "index":2,
                            "type":"string"
                        },
                        {
                            "index":3,
                            "type":"string"
                        },
                        {
                            "index":4,
                            "type":"string"
                        },
                        {
                            "index":5,
                            "type":"long"
                        },
                        {
                            "index":6,
                            "type":"long"
                        },
                        {
                            "index":7,
                            "type":"long"
                        },
                        {
                            "index":8,
                            "type":"long"
                        }
                    ],
                    "csvReaderConfig":{
                        "safetySwitch":false,
                        "skipEmptyRecords":false,
                        "useTextQualifier":false
                    },
                    "encoding":"utf-8",
                    "fieldDelimiter":",",
                    "nullFormat":"null",
                    "path":[
                        "/home/tianyafu/flux_timecount_action.csv"
                    ]
                }
            },
            "writer":{
                "name":"gpdbwriter",
                "parameter":{
                    "column":[
                        "record_date",
                        "outid",
                        "tm_type",
                        "serv",
                        "app",
                        "down_flux",
                        "up_flux",
                        "seconds",
                        "count"
                    ],
                    "connection":[
                        {
                            "jdbcUrl":"jdbc:postgresql://192.168.100.21:5432/ods",
                            "table":[
                                "ods_flux_timecount_action"
                            ]
                        }
                    ],
                    "password":"******",
                    "segment_reject_limit":0,
                    "username":"admin"
                }
            }
        }
    ],
    "setting":{
        "errorLimit":{
            "percentage":0.02,
            "record":0
        },
        "speed":{
            "channel":"1"
        }
    }
}

結果又失敗了

看來是大小寫敏感的,繼續改:

{
    "content":[
        {
            "reader":{
                "name":"txtfilereader",
                "parameter":{
                    "column":[
                        {
                            "format":"yyyy-MM-dd",
                            "index":0,
                            "type":"date"
                        },
                        {
                            "index":1,
                            "type":"string"
                        },
                        {
                            "index":2,
                            "type":"string"
                        },
                        {
                            "index":3,
                            "type":"string"
                        },
                        {
                            "index":4,
                            "type":"string"
                        },
                        {
                            "index":5,
                            "type":"long"
                        },
                        {
                            "index":6,
                            "type":"long"
                        },
                        {
                            "index":7,
                            "type":"long"
                        },
                        {
                            "index":8,
                            "type":"long"
                        }
                    ],
                    "csvReaderConfig":{
                        "safetySwitch":false,
                        "skipEmptyRecords":false,
                        "useTextQualifier":false
                    },
                    "encoding":"utf-8",
                    "fieldDelimiter":",",
                    "nullFormat":"NULL",
                    "path":[
                        "/home/tianyafu/flux_timecount_action.csv"
                    ]
                }
            },
            "writer":{
                "name":"gpdbwriter",
                "parameter":{
                    "column":[
                        "record_date",
                        "outid",
                        "tm_type",
                        "serv",
                        "app",
                        "down_flux",
                        "up_flux",
                        "seconds",
                        "count"
                    ],
                    "connection":[
                        {
                            "jdbcUrl":"jdbc:postgresql://192.168.100.21:5432/ods",
                            "table":[
                                "ods_flux_timecount_action"
                            ]
                        }
                    ],
                    "password":"******",
                    "segment_reject_limit":0,
                    "username":"admin"
                }
            }
        }
    ],
    "setting":{
        "errorLimit":{
            "percentage":0.02,
            "record":0
        },
        "speed":{
            "channel":"1"
        }
    }
}

 

 

終於成功了

看來這個參數是大小寫敏感的

 


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