Mysql和Hive实现列转行，类似reduceByKey操作

给的数据如下图：

 

 需要实现的结果(需要对label去重)：

 

 mysql：

建表和准备数据

CREATE TABLE `comp_label`  (
  `compName` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL,
  `label` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL
) ENGINE = InnoDB CHARACTER SET = latin1 COLLATE = latin1_swedish_ci ROW_FORMAT = Compact;
INSERT INTO `comp_label` VALUES ('视野数科', 'FourthCompany');
INSERT INTO `comp_label` VALUES ('视野数科', 'PrepareThirdCompany');
INSERT INTO `comp_label` VALUES ('视野数科', 'PrepareThirdCompany');
INSERT INTO `comp_label` VALUES ('视野数科', 'SYBI10000');
INSERT INTO `comp_label` VALUES ('天眼查', 'SYBB10000');

实现：

SELECT compName,GROUP_CONCAT(DISTINCT label) label FROM comp_label GROUP BY compName

hive:

建表和准备数据

CREATE TABLE `default.comp_label`(
  `compName` string,
  `label` string)
ROW FORMAT SERDE 
  'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe' 
WITH SERDEPROPERTIES ( 
  'field.delim'='\u0001', 
  'line.delim'='\n', 
  'serialization.format'='r') 
STORED AS INPUTFORMAT 
  'org.apache.hadoop.mapred.TextInputFormat' 
OUTPUTFORMAT 
  'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat';
INSERT INTO `default.comp_label` VALUES ('视野数科', 'FourthCompany'),('视野数科', 'PrepareThirdCompany'),
('视野数科', 'PrepareThirdCompany'), ('视野数科', 'SYBI10000'),('天眼查', 'SYBB10000');

实现：

SELECT compName,concat_ws(',',collect_set(label)) AS label FROM default.comp_label GROUP BY compName

hive如果不去重

SELECT compName,concat_ws(',',collect_list(label)) AS label FROM default.comp_label GROUP BY compName