I am trying to get average of latency for each items that holds into two separate mysql table. Let me more clarify that I have two mysql tables as below,
table: monitor_servers
+-----------+-----------------+
| server_id | label |
+-----------+-----------------+
| 1 | a.com |
| 2 | b.com |
+-----------+-----------------+
table: monitor_servers_uptime
+-------------------+-----------+-----------+
| servers_uptime_id | server_id | latency |
+-------------------+-----------+-----------+
| 1 | 1 | 0.4132809 |
| 3 | 1 | 0.4157769 |
| 6 | 1 | 0.4194210 |
| 9 | 1 | 0.4140880 |
| 12 | 2 | 0.4779439 |
| 15 | 2 | 0.4751789 |
| 18 | 2 | 0.4762829 |
| 22 | 2 | 0.4706681 |
+-------------------+-----------+-----------+
Basically, each domains associated with the same id_number in both tables. While I am running the query below, getting average of each items.
select monitor_servers.label, avg(monitor_servers_uptime.latency)
from monitor_servers,monitor_servers_uptime
where monitor_servers.server_id = monitor_servers_uptime.server_id
group by monitor_servers.server_id;
The query ended up,
+---------------------+-------------------------------------+
| label | avg(monitor_servers_uptime.latency) |
+---------------------+-------------------------------------+
| a.com | 0.41393792995 |
| b.com | 0.47551423171 |
+---------------------+-------------------------------------+
My questions are doing am i in wright way while getting average of the each items and how can i insert new average result of each items into a new column on table monitor_servers ? And also what happens if some of latency rows are NULL ?
**Edit : What i am trying to achieve in one query result is **
+-----------+----------+------------------+
| server_id | label | avg. |
+-----------+----------+------------------+
| 1 | a.com | 0.41393792995 |
| 2 | b.com | 0.47551423171 |
+-----------+-----------------------------+
Thanks in advance,
Your calculation seems to be correct.
You could add another column to the monitor_servers using sql:
ALTER TABLE monitor_servers ADD avg_latency DEFAULT 0.0 NOT NULL
For doing the AVG calculation check this answer.
Related
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?
Working in Redmine, I need to copy(not move) data from certain rows to other rows based on matching project id numbers with time entries.
I have included a diagram of the table "custom_values" and my understanding of the design below(CURRENT DATA):
+----+-----------------+---------------+-----------------+-------+
| id | customized_type | customized_id | custom_field_id | value |
+----+-----------------+---------------+-----------------+-------+
| 1 | Project | 1 | 1 | 01 |
| 2 | TimeEntry | 1 | 4 | 01 |
| 3 | Project | 2 | 1 | 02 |
| 4 | TimeEntry | 2 | 4 | 02 |
| 5 | Project | 3 | 1 | 03 |
| 6 | TimeEntry | 3 | 4 | |
| 7 | Project | 4 | 1 | 04 |
| 8 | TimeEntry | 4 | 4 | |
+----+-----------------+---------------+-----------------+-------+
At the risk of oversimplifying,
"id" = The primary key for each entry in custom_values
"customized_type" = Specifies which db table the row is referring to.
"customized_id" = Specifies the primary key for the db table entry previously specified in "customized_type".
"custom_field_id" = Specifies which custom field the row is referring to. Redmine admins can arbitrarily add and remove custom fields.
"value" = The data contained within the custom field specified by
"custom_field_id"
In my situation, the values listed in "value" are representing unique customer id numbers. The customer id numbers did not always get entered with each time entry. I need to copy the customer numbers from the project rows to the matching time entry rows. Each time entry has a project_id field.
So far, here is my mangled SQL query:
SELECT
custom_field_id,
custom_values.value AS 'CUSTOMER_NUMBER',
custom_values.customized_id AS 'PROJECT_ID_NUMBER',
custom_values.customized_type,
time_entries.comments AS 'TIME_ENTRY_COMMENTS'
FROM
redmine_tweaking.custom_values
LEFT JOIN
redmine_tweaking.time_entries ON custom_values.customized_id = time_entries.project_id
WHERE
custom_values.customized_type='Project' AND custom_values.custom_field_id=1;
The query I have so far allows me to see that I have the time entries connected properly to their matching projects, but that is all I have been able to figure out. So in other words, this SQL statement does not exactly solve my problem.
Plus, even if it did work, I think the way I laid it out looks like 200 lbs of bird poop. There must be a better/more optimized way to do this.
Any help would be greatly appreciated. I am relatively new and I have been pouring hours into solving this problem.
UPDATE:
Ok, here is the time_entries table:
+----+------------+---------+----------+-------+----------+-------------+------------+-------+--------+-------+---------------------+---------------------+
| id | project_id | user_id | issue_id | hours | comments | activity_id | spent_on | tyear | tmonth | tweek | created_on | updated_on |
+----+------------+---------+----------+-------+----------+-------------+------------+-------+--------+-------+---------------------+---------------------+
| 1 | 1 | 1 | 1 | .25 | test | 9 | 2015-11-04 | 2015 | 11 | 45 | 2015-11-04 08:18:12 | 2015-11-04 10:18:12 |
| 2 | 2 | 1 | 1 | .25 | test2 | 9 | 2015-11-04 | 2015 | 11 | 45 | 2015-11-04 09:18:12 | 2015-11-04 12:18:12 |
+----+------------+---------+----------+-------+----------+-------------+------------+-------+--------+-------+---------------------+---------------------+
As opposed to the original table that I first posted, the expected output would show this:
+----+-----------------+---------------+-----------------+-------+
| id | customized_type | customized_id | custom_field_id | value |
+----+-----------------+---------------+-----------------+-------+
| 1 | Project | 1 | 1 | 01 |
| 2 | TimeEntry | 1 | 4 | 01 |
| 3 | Project | 2 | 1 | 02 |
| 4 | TimeEntry | 2 | 4 | 02 |
| 5 | Project | 3 | 1 | 03 |
| 6 | TimeEntry | 3 | 4 | 03 |
| 7 | Project | 4 | 1 | 04 |
| 8 | TimeEntry | 4 | 4 | 04 |
+----+-----------------+---------------+-----------------+-------+
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!
In my access database, we keep track of two sets of dates. One set is for date of membership dues payments, the other set is date of other contributions (a non-membership donation.) There are multiple dates for each person depending on number of payments made for each type.
Example:
+----+---------------+---------------+
| ID | Dues_Date | Cont_Date |
+----+---------------+---------------+
| 1 | 01/01/15 | 09/12/11 |
| | 01/01/14 | |
| | 01/01/13 | |
| 2 | 07/30/14 | 06/20/13 |
| | | 11/12/11 |
+----+---------------+---------------+
First I needed to know the most recent payment for each of the two fields so I ran a query that tells me the MAX (most recent) date for each field.
Example Query:
+----+---------------+---------------+
| ID | Max Dues_Date | Max Cont_Date |
+----+---------------+---------------+
| 1 | 01/01/15 | 09/12/11 |
| 2 | 07/30/14 | 06/20/13 |
| 3 | 02/11/13 | 09/16/14 |
| 4 | 07/30/12 | 06/20/11 |
| 5 | 12/13/13 | 11/12/14 |
+----+---------------+---------------+
Now I need a third field in the same query to compare the results of the first two fields and show which is the MAX of those two.
I have column 2 and 3 in the query; how can I take that and create column 4 in the same query?
Example Query:
+----+---------------+---------------+-----------------+
| ID | Max Dues_Date | Max Cont_Date | Max Date(DD&CD) |
+----+---------------+---------------+-----------------+
| 1 | 01/01/15 | 09/12/11 | 01/01/15 |
| 2 | 07/30/14 | 06/20/13 | 07/30/14 |
| 3 | 02/11/13 | 09/16/14 | 09/16/14 |
| 4 | 07/30/12 | 06/20/11 | 07/30/12 |
| 5 | 12/13/13 | 11/12/14 | 11/12/14 |
+----+---------------+---------------+-----------------+
Try adapting this to your own scenario:
SELECT tblTest.DueDate, tblTest.ContDate, [DueDate]-[ContDate] AS Test, IIf([Test]<0,[ContDate],[DueDate]) AS MaxRes
FROM tblTest;
"Test" finds which is the later date, ContDate or Due Date. The IIf statement selects the later date.
Does this help?
I am trying to run an MySQL query to copy over data from an old table (ps__product_review/rate) to a new table (ps_product_comment/grade) based on review ID (id_product_comment). But I am a bit lost on the SQL query, this is what I have but keep getting errors.
INSERT INTO ps_product_comment [(grade)]
SELECT rate
FROM ps__product_review
[WHERE ps__product_review.id_product_comment=ps_product_comment.id_product_comment];
Can anyone help write the correct query?
Edit:Essentially I am trying to populate the Grade column in the new table below.
Old table (ps__product_review)
+--------------------+----------+-----+
| id_product_comment | Comment | Rate|
+--------------------+----------+-----+
| 1 | Good | 2 |
| 2 | Great | 5 |
| 3 | OK | 3 |
| 4 | Brill | 4 |
| 5 | OK | 3 |
| 6 | Average | 2 |
| 7 | Bad | 1 |
+--------------------+----------+-----+
New Table (ps_product_comment)
+--------------------+----------+-------+
| id_product_comment | Comment | Grade |
+--------------------+----------+-------+
| 1 | Good | |
| 2 | Great | |
| 3 | OK | |
| 4 | Brill | |
| 5 | OK | |
| 6 | Average | |
| 7 | Bad | |
+--------------------+----------+-------+
If you want to update table with data from another table, use UPDATE with JOIN
UPDATE ps_product_comment
JOIN ps__product_review
ON ps__product_review.id_product_comment = ps_product_comment.id_product_comment
SET ps_product_comment.grade = ps__product_review.rate;
Remove the square brackets and I think you are missing the JOIN(since you are using that in your where clause):
INSERT INTO ps_product_comment (grade)
SELECT rate
FROM ps__product_review inner join ps_product_comment on
ps__product_review.id_product_comment=ps_product_comment.id_product_comment;