ToLower自定义函数hive

K
Time taken: 0.082 seconds
hive> select  ToLower("DDDDg")  from t_1;
FAILED: SemanticException [Error 10001]: Line 1:31 Table not found 't_1'
hive> select  ToLower("DDDDg")  from t1;
OK
Time taken: 1.589 seconds
hive> select  ToLower(" ")  from t1;
OK
Time taken: 0.06 seconds
hive> select  ToLower(" ")  from dual;
FAILED: SemanticException [Error 10001]: Line 1:27 Table not found 'dual'
hive> desc t1;
OK
id                   string                                  
name                 string                                  
Time taken: 0.085 seconds, Fetched: 2 row(s)
hive> select  ToLower("DDDDg")  from t1;
OK
Time taken: 0.078 seconds
hive> select  ToLower(name)  from t1;
OK
Time taken: 0.063 seconds
hive> add jar /home/wangshumin/hive/ToLower.jar
    > add jar /home/wangshumin/hive/ToLower.jar;
add does not exist
Query returned non-zero code: 1, cause: add does not exist
hive> add jar /home/wangshumin/hive/ToLower.jar;
Added [/home/wangshumin/hive/ToLower.jar] to class path
Added resources: [/home/wangshumin/hive/ToLower.jar]
hive> add jar /home/wangshumin/hive/ToLower.jar;
Added [/home/wangshumin/hive/ToLower.jar] to class path
Added resources: [/home/wangshumin/hive/ToLower.jar]
hive> add jar /home/wangshumin/hive/ToLower.jar;
Added [/home/wangshumin/hive/ToLower.jar] to class path
Added resources: [/home/wangshumin/hive/ToLower.jar]
hive> create temporary  function  ToLoweree as "hive.UDF.ToLower"
    > ;
OK
Time taken: 0.007 seconds
hive> create temporary  function  ToLoweree as "hive.UDF.ToLower";
OK
Time taken: 0.006 seconds
hive> select  ToLoweree(name)  from t1;
OK
Time taken: 0.066 seconds
hive> create temporary function tolowercase as "hive.UDF.ToLower"
    > ;
OK
Time taken: 0.005 seconds
hive> select  ToLoweree("")  from t1;
OK
Time taken: 0.063 seconds
hive> add  jar  /home/wangshumin/hive/ToLower.jar;
Added [/home/wangshumin/hive/ToLower.jar] to class path
Added resources: [/home/wangshumin/hive/ToLower.jar]
hive> create temporary function ToLower as "hive.UDF.ToLower" ;
OK
Time taken: 0.012 seconds
hive> select  ToLower("")  from   t1;
    > ;
    > ;
FAILED: ParseException line 1:30 character ';' not supported here
line 2:0 character ';' not supported here
hive> select  ToLower("")  from   t1;
OK
Time taken: 0.105 seconds
hive> select  ToLower("ddddFFF")  from   t1;
OK
Time taken: 0.071 seconds
hive> add  jar  /home/wangshumin/hive/ToLower1.jar;
Added [/home/wangshumin/hive/ToLower1.jar] to class path
Added resources: [/home/wangshumin/hive/ToLower1.jar]
hive> create temporary function ToLower1 as "hive.UDF.ToLower" ;
OK
Time taken: 0.006 seconds
hive> select * from  t1 ;
OK
Time taken: 0.063 seconds

hive>  insert into t1 (id,name) values ( 2,"joker" );
Query ID = wangshumin_20180320191440_fe1ae827-57f1-4d93-91de-428368b760a9
Total jobs = 3
Launching Job 1 out of 3
Number of reduce tasks is set to 0 since there's no reduce operator
Starting Job = job_1521538874183_0004, Tracking URL = http://centoshostnameKL1:8088/proxy/application_1521538874183_0004/
Kill Command = /home/wangshumin/app/hadoop-2.4.1/bin/hadoop job  -kill job_1521538874183_0004
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 0
2018-03-20 19:15:06,539 Stage-1 map = 0%,  reduce = 0%
2018-03-20 19:15:17,153 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 1.16 sec
MapReduce Total cumulative CPU time: 1 seconds 160 msec
Ended Job = job_1521538874183_0004
Stage-4 is selected by condition resolver.
Stage-3 is filtered out by condition resolver.
Stage-5 is filtered out by condition resolver.
Moving data to: hdfs://centoshostnameKL1:9000/user/hive/warehouse/db1.db/t1/.hive-staging_hive_2018-03-20_19-14-40_197_6479838724087111090-1/-ext-10000
Loading data to table db1.t1
Table db1.t1 stats: [numFiles=1, numRows=3, totalSize=8, rawDataSize=32]
MapReduce Jobs Launched: 
Stage-Stage-1: Map: 1   Cumulative CPU: 1.16 sec   HDFS Read: 3529 HDFS Write: 70 SUCCESS
Total MapReduce CPU Time Spent: 1 seconds 160 msec
OK
Time taken: 38.759 seconds
hive> select * from  t1 ;
OK
2 joker
Time taken: 0.149 seconds, Fetched: 1 row(s)
hive>  insert into t1 (id,name) values ( 1,"joker1" );
Query ID = wangshumin_20180320191537_994c7ae4-80e7-4145-a622-a0de96d7dc19
Total jobs = 3
Launching Job 1 out of 3
Number of reduce tasks is set to 0 since there's no reduce operator
Starting Job = job_1521538874183_0005, Tracking URL = http://centoshostnameKL1:8088/proxy/application_1521538874183_0005/
Kill Command = /home/wangshumin/app/hadoop-2.4.1/bin/hadoop job  -kill job_1521538874183_0005
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 0
2018-03-20 19:15:59,398 Stage-1 map = 0%,  reduce = 0%
2018-03-20 19:16:11,509 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 0.95 sec
MapReduce Total cumulative CPU time: 950 msec
Ended Job = job_1521538874183_0005
Stage-4 is selected by condition resolver.
Stage-3 is filtered out by condition resolver.
Stage-5 is filtered out by condition resolver.
Moving data to: hdfs://centoshostnameKL1:9000/user/hive/warehouse/db1.db/t1/.hive-staging_hive_2018-03-20_19-15-37_079_1424094808828331594-1/-ext-10000
Loading data to table db1.t1
Table db1.t1 stats: [numFiles=2, numRows=4, totalSize=17, rawDataSize=40]
MapReduce Jobs Launched: 
Stage-Stage-1: Map: 1   Cumulative CPU: 0.95 sec   HDFS Read: 3530 HDFS Write: 71 SUCCESS
Total MapReduce CPU Time Spent: 950 msec
OK
Time taken: 36.2 seconds
hive> select * from  t1 ;
OK
2 joker
1 joker1
Time taken: 0.062 seconds, Fetched: 2 row(s)
hive> select  ToLoweree("ddddFFF")  from   t1;
OK
ddddfff
ddddfff
Time taken: 0.082 seconds, Fetched: 2 row(s)
hive> select  ToLoweree(" ")  from   t1;
OK
 
 
Time taken: 0.062 seconds, Fetched: 2 row(s)
hive> select  ToLoweree()  from   t1;
FAILED: SemanticException [Error 10014]: Line 1:8 Wrong arguments 'ToLoweree': No matching method for class hive.UDF.ToLower with (). Possible choices: _FUNC_(string)  
hive> select  ToLoweree(null)  from   t1;
OK
我是王树民,告诉你的函数参数值为空!
我是王树民,告诉你的函数参数值为空!
Time taken: 0.115 seconds, Fetched: 2 row(s)
hive> select  ToLoweree(null)  from   t1;
OK



一、关系运算: 4 1. 等值比较: = 4 2. 不等值比较: 4 3. 小于比较: < 4 4. 小于等于比较: 5 6. 大于等于比较: >= 5 7. 空值判断: IS NULL 5 8. 非空判断: IS NOT NULL 6 9. LIKE比较: LIKE 6 10. JAVA的LIKE操作: RLIKE 6 11. REGEXP操作: REGEXP 7 二、数学运算: 7 1. 加法操作: + 7 2. 减法操作: - 7 3. 乘法操作: * 8 4. 除法操作: / 8 5. 取余操作: % 8 6. 位与操作: & 9 7. 位或操作: | 9 8. 位异或操作: ^ 9 9.位取反操作: ~ 10 三、逻辑运算: 10 1. 逻辑与操作: AND 10 2. 逻辑或操作: OR 10 3. 逻辑非操作: NOT 10 四、数值计算 11 1. 取整函数: round 11 2. 指定精度取整函数: round 11 3. 向下取整函数: floor 11 4. 向上取整函数: ceil 12 5. 向上取整函数: ceiling 12 6. 取随机数函数: rand 12 7. 自然指数函数: exp 13 8. 以10为底对数函数: log10 13 9. 以2为底对数函数: log2 13 10. 对数函数: log 13 11. 幂运算函数: pow 14 12. 幂运算函数: power 14 13. 开平方函数: sqrt 14 14. 二进制函数: bin 14 15. 十六进制函数: hex 15 16. 反转十六进制函数: unhex 15 17. 进制转换函数: conv 15 18. 绝对值函数: abs 16 19. 正取余函数: pmod 16 20. 正弦函数: sin 16 21. 反正弦函数: asin 16 22. 余弦函数: cos 17 23. 反余弦函数: acos 17 24. positive函数: positive 17 25. negative函数: negative 17 五、日期函数 18 1. UNIX时间戳转日期函数: from_unixtime 18 2. 获取当前UNIX时间戳函数: unix_timestamp 18 3. 日期转UNIX时间戳函数: unix_timestamp 18 4. 指定格式日期转UNIX时间戳函数: unix_timestamp 18 5. 日期时间转日期函数: to_date 19 6. 日期转年函数: year 19 7. 日期转月函数: month 19 8. 日期转天函数: day 19 9. 日期转小时函数: hour 20 10. 日期转分钟函数: minute 20 11. 日期转秒函数: second 20 12. 日期转周函数: weekofyear 20 13. 日期比较函数: datediff 21 14. 日期增加函数: date_add 21 15. 日期减少函数: date_sub 21 六、条件函数 21 1. If函数: if 21 2. 非空查找函数: COALESCE 22 3. 条件判断函数:CASE 22 4. 条件判断函数:CASE 22 七、字符串函数 23 1. 字符串长度函数:length 23 2. 字符串反转函数:reverse 23 3. 字符串连接函数:concat 23 4. 带分隔符字符串连接函数:concat_ws 23 5. 字符串截取函数:substr,substring 24 6. 字符串截取函数:substr,substring 24 7. 字符串转大写函数:upper,ucase 24 8. 字符串转小写函数:lower,lcase 25 9. 去空格函数:trim 25 10. 左边去空格函数:ltrim 25 11. 右边去空格函数:rtrim 25 12. 正则表达式替换函数:regexp_replace 26 13. 正则表达式解析函数:regexp_extract 26 14. URL解析函数:parse_url 26 15. json解析函数:get_json_object 27 16. 空格字符串函数:space 27 17. 重复字符串函数:repeat 27 18. 首字符ascii函数:ascii 28 19. 左补足函数:lpad 28 20. 右补足函数:rpad 28 21. 分割字符串函数: split 28 22. 集合查找函数: find_in_set 29 八、集合统计函数 29 1. 个数统计函数: count 29 2. 总和统计函数: sum 29 3. 平均值统计函数: avg 30 4. 最小值统计函数: min 30 5. 最大值统计函数: max 30 6. 非空集合总体变量函数: var_pop 30 7. 非空集合样本变量函数: var_samp 31 8. 总体标准偏离函数: stddev_pop 31 9. 样本标准偏离函数: stddev_samp 31 10.中位数函数: percentile 31 11. 中位数函数: percentile 31 12. 近似中位数函数: percentile_approx 32 13. 近似中位数函数: percentile_approx 32 14. 直方图: histogram_numeric 32 九、复合类型构建操作 32 1. Map类型构建: map 32 2. Struct类型构建: struct 33 3. array类型构建: array 33 十、复杂类型访问操作 33 1. array类型访问: A[n] 33 2. map类型访问: M[key] 34 3. struct类型访问: S.x 34 十一、复杂类型长度统计函数 34 1. Map类型长度函数: size(Map) 34 2. array类型长度函数: size(Array) 34 3. 类型转换函数 35
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