<ruby id="bdb3f"></ruby>

    <p id="bdb3f"><cite id="bdb3f"></cite></p>

      <p id="bdb3f"><cite id="bdb3f"><th id="bdb3f"></th></cite></p><p id="bdb3f"></p>
        <p id="bdb3f"><cite id="bdb3f"></cite></p>

          <pre id="bdb3f"></pre>
          <pre id="bdb3f"><del id="bdb3f"><thead id="bdb3f"></thead></del></pre>

          <ruby id="bdb3f"><mark id="bdb3f"></mark></ruby><ruby id="bdb3f"></ruby>
          <pre id="bdb3f"><pre id="bdb3f"><mark id="bdb3f"></mark></pre></pre><output id="bdb3f"></output><p id="bdb3f"></p><p id="bdb3f"></p>

          <pre id="bdb3f"><del id="bdb3f"><progress id="bdb3f"></progress></del></pre>

                <ruby id="bdb3f"></ruby>

                [TOC] # HIve常用函數 ## 函數分類 ![](https://box.kancloud.cn/1308dfed90fa03e6f392c52a44b3a420_543x360.png) ## HIVE CLI命令 > 顯示當前會話有多少函數可用 ~~~ SHOW FUNCTIONS; ~~~ > 顯示函數的描述信息 ~~~ DESC FUNCTION concat; ~~~ ![](https://box.kancloud.cn/c2e157036b69df8086241a7eaf59947c_518x79.png) > 顯示函數的擴展描述信息 ~~~ DESC FUNCTION EXTENDED concat; ~~~ ## 簡單函數 > 函數的計算粒度為單條記錄。 * 關系運算 * 數學運算 * 邏輯運算 * 數值計算 * 類型轉換 * 日期函數 * 條件函數 * 字符串函數 * 統計函數 * 聚合函數 > 函數處理的數據粒度為多條記錄。 * sum()—求和 * count()—求數據量 * avg()—求平均直 * distinct—求不同值數 * min—求最小值 * max—求最人值 ## 集合函數 * 復合類型構建 * 復雜類型訪問 * 復雜類型長度 ## 特殊函數 ### 窗口函數 > 應用場景 * 用于分區排序 * 動態Group By * Top N * 累計計算 * 層次查詢 * Windowing functions ~~~ lead lag FIRST_VALUE LAST_VALUE ~~~ ### 分析函數 > Analytics functions ~~~ RANK ROW_NUMBER DENSE_RANK CUME_DIST PERCENT_RANK NTILE ~~~ ### 混合函數 ~~~ java_method(class,method [,arg1 [,arg2])reflect(class,method [,arg1 [,arg2..]])hash(a1 [,a2...]) ~~~ ### UDTF ~~~ lateralView: LATERAL VIEW udtf(expression) tableAlias AS columnAlias (‘,‘ columnAlias)* fromClause: FROM baseTable (lateralView)* ~~~ > ateral view用于和split, explode等UDTF一起使用,它能夠將一行數據拆成多行數據,在此基礎上可以對拆分后的數據進行聚合。lateral view首先為原始表的每行調用UDTF,UTDF會把一行拆分成一或者多行,lateral view再把結果組合,產生一個支持別名表的虛擬表。 ## 常用函數Demo: ~~~ create table employee( id string, money double, type string)row format delimited fields terminated by ‘\t‘ lines terminated by ‘\n‘ stored as textfile;load data local inpath ‘/liguodong/hive/data‘ into table employee;select * from employee; 優先級依次為NOT AND ORselect id,money from employee where (id=‘1001‘ or id=‘1002‘) and money=‘100‘; ~~~
                  <ruby id="bdb3f"></ruby>

                  <p id="bdb3f"><cite id="bdb3f"></cite></p>

                    <p id="bdb3f"><cite id="bdb3f"><th id="bdb3f"></th></cite></p><p id="bdb3f"></p>
                      <p id="bdb3f"><cite id="bdb3f"></cite></p>

                        <pre id="bdb3f"></pre>
                        <pre id="bdb3f"><del id="bdb3f"><thead id="bdb3f"></thead></del></pre>

                        <ruby id="bdb3f"><mark id="bdb3f"></mark></ruby><ruby id="bdb3f"></ruby>
                        <pre id="bdb3f"><pre id="bdb3f"><mark id="bdb3f"></mark></pre></pre><output id="bdb3f"></output><p id="bdb3f"></p><p id="bdb3f"></p>

                        <pre id="bdb3f"><del id="bdb3f"><progress id="bdb3f"></progress></del></pre>

                              <ruby id="bdb3f"></ruby>

                              哎呀哎呀视频在线观看