Hive行转列列转行

Hive中的行转列和列转行可以通过使用函数EXPLODE和LATERAL VIEW来实现。函数EXPLODE(col)用于将Hive的一列中复杂的数组或者Map结构拆分成多行。LATERAL VIEW是用于和split、explode等函数一起使用的，可以将一列展开成多列或将多列合并成一列。 举个例子来说明，假设我们有一个表person_info，其中包含name、constellation和blood_type三列。要将表中的name列中的值拆分成多行，可以使用LATERAL VIEW和EXPLODE函数，具体的语句如下： SELECT t1.base, concat_ws('|', collect_set(t1.name)) name FROM (SELECT name, concat(constellation, ",", blood_type) base FROM person_info) t1 GROUP BY t1.base; 在上述查询中，通过LATERAL VIEW和EXPLODE函数，将name列拆分成多行，然后使用concat_ws函数将拼接后的结果作为新的name列。最后，通过GROUP BY对base列进行分组。这样就实现了Hive中的行转列操作。<span class="em">1</span><span class="em">2</span><span class="em">3</span> #### 引用[.reference_title] - *1* [hive列转行案例](https://download.csdn.net/download/weixin_38581777/14037437)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"] - *2* *3* [hive操作（行转列，列转行）](https://blog.csdn.net/aiduo3346/article/details/102085019)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"] [ .reference_list ]

Hive中的列转行和行转列是通过使用一些特定的内置函数和关键字来实现的。列转行可以使用EXPLODE函数，该函数可以将一个包含复杂结构的数组或者映射拆分成多行。行转列可以使用collect_set函数，该函数将某一列的所有数据转化为一个集合，并且可以使用concat_ws函数将集合中的所有元素以逗号分割连接成一个字符串。此外，为了使用EXPLODE和LATERAL VIEW函数，你可以使用LATERAL VIEW关键字，语法为LATERAL VIEW udtf(expression) tableAlias AS columnAlias。<span class="em">1</span><span class="em">2</span><span class="em">3</span> #### 引用[.reference_title] - *1* [hive列转行案例](https://download.csdn.net/download/weixin_38581777/14037437)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 33.333333333333336%"] - *2* [hive行转列与列转行](https://blog.csdn.net/qq_24790473/article/details/109710145)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 33.333333333333336%"] - *3* [hive操作（行转列，列转行）](https://blog.csdn.net/aiduo3346/article/details/102085019)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 33.333333333333336%"] [ .reference_list ]