久久久久久久av_日韩在线中文_看一级毛片视频_日本精品二区_成人深夜福利视频_武道仙尊动漫在线观看

    <small id='pBsUO'></small><noframes id='pBsUO'>

      <tfoot id='pBsUO'></tfoot>
      1. <i id='pBsUO'><tr id='pBsUO'><dt id='pBsUO'><q id='pBsUO'><span id='pBsUO'><b id='pBsUO'><form id='pBsUO'><ins id='pBsUO'></ins><ul id='pBsUO'></ul><sub id='pBsUO'></sub></form><legend id='pBsUO'></legend><bdo id='pBsUO'><pre id='pBsUO'><center id='pBsUO'></center></pre></bdo></b><th id='pBsUO'></th></span></q></dt></tr></i><div class="qwawimqqmiuu" id='pBsUO'><tfoot id='pBsUO'></tfoot><dl id='pBsUO'><fieldset id='pBsUO'></fieldset></dl></div>
      2. <legend id='pBsUO'><style id='pBsUO'><dir id='pBsUO'><q id='pBsUO'></q></dir></style></legend>

        • <bdo id='pBsUO'></bdo><ul id='pBsUO'></ul>

        Apache Nifi 如何使用嵌套數(shù)組 JSON 加載 JSON 并調(diào)用

        Apache Nifi How to load JSON with nested array JSON and Call Oracle Stored Procedure(Apache Nifi 如何使用嵌套數(shù)組 JSON 加載 JSON 并調(diào)用 Oracle 存儲過程)
      3. <legend id='0rfSg'><style id='0rfSg'><dir id='0rfSg'><q id='0rfSg'></q></dir></style></legend>

        <small id='0rfSg'></small><noframes id='0rfSg'>

          <bdo id='0rfSg'></bdo><ul id='0rfSg'></ul>

              <i id='0rfSg'><tr id='0rfSg'><dt id='0rfSg'><q id='0rfSg'><span id='0rfSg'><b id='0rfSg'><form id='0rfSg'><ins id='0rfSg'></ins><ul id='0rfSg'></ul><sub id='0rfSg'></sub></form><legend id='0rfSg'></legend><bdo id='0rfSg'><pre id='0rfSg'><center id='0rfSg'></center></pre></bdo></b><th id='0rfSg'></th></span></q></dt></tr></i><div class="qwawimqqmiuu" id='0rfSg'><tfoot id='0rfSg'></tfoot><dl id='0rfSg'><fieldset id='0rfSg'></fieldset></dl></div>
                  <tfoot id='0rfSg'></tfoot>
                    <tbody id='0rfSg'></tbody>
                • 本文介紹了Apache Nifi 如何使用嵌套數(shù)組 JSON 加載 JSON 并調(diào)用 Oracle 存儲過程的處理方法,對大家解決問題具有一定的參考價值,需要的朋友們下面隨著小編來一起學習吧!

                  問題描述

                  我是 Nifi 的新手,但我有一些 JSON 數(shù)據(jù),它是一個數(shù)據(jù)數(shù)組,在每個數(shù)組元素中,還有另一個嵌套的數(shù)組數(shù)據(jù).

                  I am new to Nifi, but I have some JSON data which is an array of data and in each array element, there is another nested array data.

                  雖然我能夠獲取文件以加載 JSON,但我遇到的問題如下:

                  Whilst I am able to get file to load the JSON, where I am struggling is on the following:

                  • 展平每個數(shù)組和嵌套數(shù)組 - 包含換行符的嵌套數(shù)組存在問題.我已嘗試使用處理器將其刪除,但未將其刪除
                  • 提取需要的數(shù)據(jù)
                  • 要組織提取的數(shù)據(jù),將其作為參數(shù)傳遞給 Oracle 存儲過程以供執(zhí)行

                  我已經(jīng)使用了 Get File、JoltTransformJson、ExecuteSQL、GetAttributes,但我沒有看到一個結(jié)構(gòu),其中對于 JSON 數(shù)組中的每個元素和展平嵌套 JSON 的屬性列表可以傳遞給存儲過程.

                  I have used Get File, JoltTransformJson, ExecuteSQL, GetAttributes, but what I am not seeing is a structure where for each element in the array of JSON and for the flatten out nested JSON a list of attributes that can passed on to the Stored Procedure.

                  誰能提供任何分步指導?

                  Can anyone give any step by step guidance?

                  下面是一封關(guān)于 JSON 結(jié)構(gòu)的電子郵件,以提供一個想法-

                  Below is an email of structure of the JSON to give an idea-

                  [{app_id":1",日期時間":2020-11-30T12:21:25.447430",供應(yīng)商名稱":abc",doc_id":123345",數(shù)據(jù)":"{\n header {\n l_Id = { 1 2 3 3 4 5 6 11 }\n identifer = 123456789\n country = GB\n commonIdentifier {\n ident {\n opps = 6175\n etni {\n format =1234567\n }\n }\n commonIdentityId = 0\n }\n sequence = 0\n timeStamp = 20201130002255.0Z\n timeStampQual = timeFound\n }\n data {\n sequence [0] {\n type = type\n content {\n etni {\n params {\n iD = { 1234567 }\n version = version\n identifier = 1234567\n identifier {\n commonidentityid = 30\n id {\n opps = 6175\n netId{\n 格式 = 12563412\n }\n }\n }\n 時間戳 {\n localTime {\ngeneraltime = 20201130122255.000Z\n BSWT = notProvided\n }\n }\n direction = forward\n state = nothing\n release = 9\n nature = ball\n }\n }\n }\n }\n }\n}\n",},{app_id":1",日期時間":2020-11-30T12:21:25.447430",供應(yīng)商名稱":abc",doc_id":123345",數(shù)據(jù)":"{\n header {\n l_Id = { 1 2 3 3 4 5 6 11 }\n identifer = 123456789\n country = GB\n commonIdentifier {\n ident {\n opps = 6175\n etni {\n format =1234567\n }\n }\n commonIdentityId = 0\n }\n sequence = 0\n timeStamp = 20201130002255.0Z\n timeStampQual = timeFound\n }\n data {\n sequence [0] {\n type = type\n content {\n etni {\n params {\n iD = { 1234567 }\n version = version\n identifier = 1234567\n identifier {\n commonidentityid = 30\n id {\n opps = 6175\n netId{\n 格式 = 12563412\n }\n }\n }\n 時間戳 {\n localTime {\ngeneraltime = 20201130122255.000Z\n BSWT = notProvided\n }\n }\n direction = forward\n state = nothing\n release = 9\n nature = ball\n }\n }\n }\n }\n }\n}\n",}]

                  [ { "app_id":"1", "date_time":"2020-11-30T12:21:25.447430", "supplier_name":"abc", "doc_id":"123345", "data":" {\n header {\n l_Id = { 1 2 3 3 4 5 6 11 }\n identifer = 123456789\n country = GB\n commonIdentifier {\n ident {\n opps = 6175\n etni {\n format = 1234567\n }\n }\n commonIdentityId = 0\n }\n sequence = 0\n timeStamp = 20201130002255.0Z\n timeStampQual = timeFound\n }\n data {\n sequence [0] {\n type = type\n contents {\n etni {\n params {\n iD = { 1234567 }\n version = version\n identifier = 1234567\n identifier {\n commonidentityid = 30\n id {\n opps = 6175\n netId {\n format = 12563412\n }\n }\n }\n timeStamp {\n localTime {\n generaltime = 20201130122255.000Z\n BSWT = notProvided\n }\n }\n direction = forward\n state = nothing\n release = 9\n nature = ball\n }\n }\n }\n }\n }\n}\n", }, { "app_id":"1", "date_time":"2020-11-30T12:21:25.447430", "supplier_name":"abc", "doc_id":"123345", "data":" {\n header {\n l_Id = { 1 2 3 3 4 5 6 11 }\n identifer = 123456789\n country = GB\n commonIdentifier {\n ident {\n opps = 6175\n etni {\n format = 1234567\n }\n }\n commonIdentityId = 0\n }\n sequence = 0\n timeStamp = 20201130002255.0Z\n timeStampQual = timeFound\n }\n data {\n sequence [0] {\n type = type\n contents {\n etni {\n params {\n iD = { 1234567 }\n version = version\n identifier = 1234567\n identifier {\n commonidentityid = 30\n id {\n opps = 6175\n netId {\n format = 12563412\n }\n }\n }\n timeStamp {\n localTime {\n generaltime = 20201130122255.000Z\n BSWT = notProvided\n }\n }\n direction = forward\n state = nothing\n release = 9\n nature = ball\n }\n }\n }\n }\n }\n}\n", } ]

                  推薦答案

                  有FlattenJSON 處理器如果您想拆分 JSON,則可以使用 JOLT 和一些網(wǎng)站,例如 JOLT 變換

                  there is the FlattenJSON Processor If you're looking to split the JSON, there is the possibility to use JOLT and some sites such as this JOLT transformation

                  另一種選擇是相應(yīng)地拆分 JSON 并使用拆分值.我發(fā)現(xiàn)網(wǎng)站 https://jsonpath.com/ 有助于決定拆分的工作方式.我知道這不是一步一步的,但是使用 SplitJSON 處理器,然后可能是 ExtractText 處理器,您將能夠獲得所需的信息.如果不知道數(shù)據(jù)的確切格式,以及需要哪些數(shù)據(jù)部分,就很難一步一步地提供準確的數(shù)據(jù).

                  Another option could be to split the JSON accordingly and use the split values. I have found that the website https://jsonpath.com/ is helpful for deciding how the split could work. I know this isnt a step by step, but using the SplitJSON processor and then maybe an ExtractText Processor, you would be able to get the desired information. Without knowing the exact format of the data, and which parts of the data that would be desired, providing an exact step by step will be difficult.

                  這篇關(guān)于Apache Nifi 如何使用嵌套數(shù)組 JSON 加載 JSON 并調(diào)用 Oracle 存儲過程的文章就介紹到這了,希望我們推薦的答案對大家有所幫助,也希望大家多多支持html5模板網(wǎng)!

                  【網(wǎng)站聲明】本站部分內(nèi)容來源于互聯(lián)網(wǎng),旨在幫助大家更快的解決問題,如果有圖片或者內(nèi)容侵犯了您的權(quán)益,請聯(lián)系我們刪除處理,感謝您的支持!

                  相關(guān)文檔推薦

                  Flowfile absolute path Nifi(Flowfile 絕對路徑 Nifi)
                  executeSql failing after putSql processor(putSql處理器后executeSql失敗)
                  covertJSONtoSQL returning empty values in NiFi(covertJSONtoSQL 在 NiFi 中返回空值)
                  How can I compare the one line in one CSV with all lines in another CSV file?(如何將一個 CSV 中的一行與另一個 CSV 文件中的所有行進行比較?)
                  NIFI - QueryDatabaseTable processor. How to query rows which is modified?(NIFI - QueryDatabaseTable 處理器.如何查詢被修改的行?)
                  How to map the column wise data in flowfile in NiFi?(如何在 NiFi 中映射流文件中的列數(shù)據(jù)?)
                  <legend id='aTDi9'><style id='aTDi9'><dir id='aTDi9'><q id='aTDi9'></q></dir></style></legend>

                    <small id='aTDi9'></small><noframes id='aTDi9'>

                    <i id='aTDi9'><tr id='aTDi9'><dt id='aTDi9'><q id='aTDi9'><span id='aTDi9'><b id='aTDi9'><form id='aTDi9'><ins id='aTDi9'></ins><ul id='aTDi9'></ul><sub id='aTDi9'></sub></form><legend id='aTDi9'></legend><bdo id='aTDi9'><pre id='aTDi9'><center id='aTDi9'></center></pre></bdo></b><th id='aTDi9'></th></span></q></dt></tr></i><div class="qwawimqqmiuu" id='aTDi9'><tfoot id='aTDi9'></tfoot><dl id='aTDi9'><fieldset id='aTDi9'></fieldset></dl></div>
                    <tfoot id='aTDi9'></tfoot>

                        <bdo id='aTDi9'></bdo><ul id='aTDi9'></ul>
                            <tbody id='aTDi9'></tbody>
                          • 主站蜘蛛池模板: 久热精品在线播放 | 精品久久久久久久久久久 | 色999视频 | 色婷婷亚洲国产女人的天堂 | 成人高潮片免费视频欧美 | 国产精品久久久久不卡 | 日本精品在线一区 | 欧美精品影院 | 欧美在线天堂 | 精品国产18久久久久久二百 | 午夜免费视频 | 做a视频| 国产精品一二三区 | 久干网| 成人在线免费观看视频 | 欧美1区2区 | av一区二区三区四区 | 精品国产乱码久久久久久果冻传媒 | 欧美一级精品片在线看 | av日韩一区 | 欧美成人第一页 | 91成人在线| 欧美精品在线播放 | 午夜视频在线观看网站 | 免费a v网站 | 久久久久久久综合 | 国产有码| 国产综合久久 | 欧美综合久久久 | 国产色网站 | 爱爱无遮挡 | 久久久亚洲精品视频 | 国产精品久久久久久久午夜 | 欧美日韩精品一区 | 国产精品久久九九 | 日韩一区二区在线视频 | 免费性视频| 成人免费视频一区二区 | 亚洲精品电影网在线观看 | 天天躁日日躁狠狠的躁天龙影院 | 久久久久久国产精品 |