I have a table with different fields like this:
+----+-------------------+------+--------+
| id | Name | phone| Date |
+----+-------------------+------+--------+
| | | | |
| | | | |
| | | | |
| | | | |
| | | | |
| | | | |
| | | | |
+----+-------------------+------+--------+
I entered a number of phone number lines like:
+----+-------------------+------+--------+
| id | Name | phone| Date |
+----+-------------------+------+--------+
| 1 | |563824| |
| 2 | |525225| |
| 3 | |546542| |
| 4 | |464625| |
| 5 | |654525| |
| 6 | |849842| |
| 7 | |654446| |
+----+-------------------+------+--------+
Ok now I have phone data and Id of rows. Now My problem what I try to do I need to insert multiple names in Column Name at one time. Insert this names like update to multiple rows at one time but between specific id.
example I need to update rows from Id 3 to 5 to can insert names:
+----+-------------------+------+--------+
| id | Name | phone| Date |
+----+-------------------+------+--------+
| 1 | |563824| |
| 2 | |525225| |
| 3 | Ali |546542| |
| 4 | Ahmad |464625| |
| 5 | Marwan |654525| |
| 6 | |849842| |
| 7 | |654446| |
+----+-------------------+------+--------+
How I can do that? Any idea to do that ?I need to insert data from MySQL (Run SQL query/queries on table)
The names are in brackets because I am converting the data from an excel file to the Mr. Data Converter example: ('Marwan'),('Ali'),('Jake').
You can just add WHERE condition to specify which row you want to update.
Also, since the rows are already existing, you have to use UPDATE instead of INSERT INTO.
Example:
UPDATE employ SET name = 'Ali' WHERE id >= 3 and id <= 5;
This will update the name of all the rows with id between 3 and 5.
If you want to update multiple rows with specific ids, you can try this:
UPDATE employ SET name = 'Ali' WHERE id IN (3,4,5,8,11);
I'm trying to break up a SQL table that needs to take a users name and find the unique user ID's from up to 4 systems.
The data is currently like this:
| Name | User_ID |
-----------------
| A | 10 |
| A | 110 |
| A | 1500 |
| A | 4 |
| B | 20 |
| B | 100 |
| B | 2 |
| C | 10 |
I need to pivot it around the user's name to look like this (the id's don't need to be in numerical order as the SYS#_ID for each doesn't matter):
| Name | SYS1_ID | SYS2_ID | SYS3_ID | SYS4_ID |
------------------------------------------------
| A | 4 | 10 | 110 | 1500 |
| B | 2 | 20 | 100 | NULL |
| C | 10 | NULL | NULL | NULL |
This is the code I have tried on MySQL:
PIVOT(
COUNT(User_ID)
FOR Name
IN (SYS1_ID, SYS2_ID, SYS3_ID, SYS4_ID)
)
AS PivotedUsers
ORDER BY PivotedUsers.User_Name;
I'm unsure if PIVOT works on MySQL as I keep getting an error "PIVOT unknown". Is there a way to find the values that each user has and if they do not appear in the table already add them to the next column with a max of 4 values?
I currently have a file which contains data in it that needs to populate 9 different tables. Each of these tables has a different number of columns and datatypes, therefore I need to filter the source file (using the first column which determines which table the row will go into).
My current method is to create a table that has generic columns names col_1, col_2 etc up to the last filled column in the file and then create 9 views that reference this file. The issue I have is that there are a different data types appearing in the same columns due to the fact the tables are all different structures.
Is there a possibility to create a dynamic schema that filters the .csv that the HIVE table points to base on the first column??
thanks
Demo
data.csv
1,1,Now,11,22,2016-12-12
1,2,I,33,44,2017-01-01
3,3,heard,55,66,2017-02-02
1,4,you,77,88,2017-03-03
2,5,know,99,1010,2017-04-04
1,6,that,1111,1212,2017-05-05
2,7,secret,1313,1414,2017-06-06
create external table mycsv
(
rec_type int
,id int
,mystring string
,myint1 int
,myint2 int
,mydate date
)
row format delimited
fields terminated by ','
stored as textfile
;
select * from mycsv;
+----------+----+----------+--------+--------+------------+
| rec_type | id | mystring | myint1 | myint2 | mydate |
+----------+----+----------+--------+--------+------------+
| 1 | 1 | Now | 11 | 22 | 2016-12-12 |
| 1 | 2 | I | 33 | 44 | 2017-01-01 |
| 3 | 3 | heard | 55 | 66 | 2017-02-02 |
| 1 | 4 | you | 77 | 88 | 2017-03-03 |
| 2 | 5 | know | 99 | 1010 | 2017-04-04 |
| 1 | 6 | that | 1111 | 1212 | 2017-05-05 |
| 2 | 7 | secret | 1313 | 1414 | 2017-06-06 |
+----------+----+----------+--------+--------+------------+
create table t1(id int,mystring string);
create table t2(id int,mystring string,mydate date);
create table t3(id int,mydate date,myint1 int,myint2 int);
from mycsv
insert into t1 select id,mystring where rec_type = 1
insert into t2 select id,mystring,mydate where rec_type = 2
insert into t3 select id,mydate,myint1,myint2 where rec_type = 3
select * from t1;
+----+----------+
| id | mystring |
+----+----------+
| 1 | Now |
| 2 | I |
| 4 | you |
| 6 | that |
+----+----------+
select * from t2;
+----+----------+------------+
| id | mystring | mydate |
+----+----------+------------+
| 5 | know | 2017-04-04 |
| 7 | secret | 2017-06-06 |
+----+----------+------------+
select * from t3;
+----+------------+--------+--------+
| id | mydate | myint1 | myint2 |
+----+------------+--------+--------+
| 3 | 2017-02-02 | 55 | 66 |
+----+------------+--------+--------+
I have two tables similar to these (t_stamp would normally be a DATETIME, abbreviated here for clarity):
datapoints
+------+---------+----+---------+
| ndx | value | ID | t_stamp |
+------+---------+----+---------+
| 1 | 503.42 | 1 | 3/1/15 |
| 2 | 17.81 | 2 | 3/1/15 |
| 4 | 498.21 | 1 | 3/2/15 |
| 4 | 19.51 | 2 | 3/2/15 |
+------+---------+----+---------+
parameters
+------+----+---------------+-------+
| ndx | ID | description | unit |
+------+----+---------------+-------+
| 1 | 1 | wetwell level | ft |
| 2 | 2 | effluent flow | MGD |
+------+----+---------------+-------+
I'm looking to combine them so that the descriptions become column headers and list the values in order of time stamp, end result looking something like this:
new table
+---------+---------------+---------------+
| t_stamp | wetwell level | effluent flow |
+---------+---------------+---------------+
| 3/1/15 | 503.42 | 17.81 |
| 3/2/15 | 498.21 | 19.51 |
+---------+---------------+---------------+
Bearing in mind, I have considerably more rows in each table so I'm looking for something dynamic. It could be query or stored procedure based. Thank you for any help!
I have the following sample data:
| key_id | name | name_id | data_id |
+--------+-------+---------+---------+
| 1 | jim | 23 | 098 |
| 2 | joe | 24 | 098 |
| 3 | john | 25 | 098 |
| 4 | jack | 26 | 098 |
| 5 | jim | 23 | 091 |
| 6 | jim | 23 | 090 |
I have tried this query:
INSERT INTO temp_table
SELECT
DISTINCT #key_id,
name,
name_id,
#data_id FROM table1,
I am trying to dedupe a table by all fields in a row.
My desired output:
| key_id | name | name_id | data_id |
+--------+-------+---------+---------+
| 1 | jim | 23 | 098 |
| 2 | joe | 24 | 098 |
| 3 | john | 25 | 098 |
| 4 | jack | 26 | 098 |
What I'm actually getting:
| key_id | name | name_id | data_id |
+--------+-------+---------+----------+
| 1 | jim | 23 | NULL |
| 2 | joe | 24 | NULL |
| 3 | john | 25 | NULL |
| 4 | jack | 26 | NULL |
I am able to dedupe the table, but I am setting the 'data_Id' value to NULL by attempting to override the field with '#'
Is there anyway to select distinct on all fields and while keeping the value for 'data_id'? I will take the highest or MAX data_id # if possible.
If you only want one row returned for a specific value (in this case, name), one option you have is to group by that value. This seems like a good approach because you also said you wanted the largest data_id for each name, so I would suggest grouping and using the MAX() aggregate function like this:
SELECT name, name_id, MAX(data_id) AS data_id
FROM myTable
GROUP BY name, name_id;
The only thing you should be aware of is the possibility that a name occurs multiple times under different name_ids. If that is possible in your table, you could group by the name_id too, which is what I did.
Since you stated you're not interested in the key_id but only the name, I just excluded it from the query altogether to get this:
| name | name_id | data_id |
+-------+---------+---------+
| jim | 23 | 098 |
| joe | 24 | 098 |
| john | 25 | 098 |
| jack | 26 | 098 |
Here is the SQL Fiddle example.
RENAME TABLE myTable to Old_mytable,
myTable2 to myTable
INSERT INTO myTable
SELECT *
FROM Old_myTable
GROUP BY name, name_id;
This groups my tables by the values I want to dedupe while still keeping structure and ignoring the 'Data_id' column