I have two columns in a table like this
| Code1 | Code2 |
|-------|-------|
| 3306 | 3210 |
| 3306 | 3111 |
| 4508 | 8888 |
I wanna put another column where iif(Code1 ne 3306;1;iif(Code2 =3210;1;0)), so that the combination 3306 3210 to get 1.
The result I want is
| Code1 | Code2 | Ncol |
|-------|-------|------|
| 3306 | 3210 | 1 |
| 3306 | 3111 | 0 |
| 4508 | 8888 | 1 |
Do you how to put in the where statement or am I doing something wrong with the iif function?
Related
I simply ask if there is any way to change an openstack flavor name after its creation with VMs using it as flavor, for example consider this flavor:
+----------------------------+--------------------+
| Field | Value |
+----------------------------+--------------------+
| OS-FLV-DISABLED:disabled | False |
| OS-FLV-EXT-DATA:ephemeral | 0 |
| access_project_ids | None |
| description | None |
| disk | 0 |
| id | g1-1-1-0 |
| name | g1-1-1-0 |
| os-flavor-access:is_public | True |
| properties | |
| ram | 1024 |
| rxtx_factor | 1.0 |
| swap | |
| vcpus | 1 |
+----------------------------+--------------------+
How to change its name field to g1-small?
I have a table name employees
MariaDB [company]> describe employees;
+----------------+-------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+----------------+-------------+------+-----+---------+-------+
| employee_id | char(10) | NO | | NULL | |
| first_name | varchar(20) | NO | | NULL | |
| last_name | varchar(20) | NO | | NULL | |
| email | varchar(60) | NO | | NULL | |
| phone_number | char(14) | NO | | NULL | |
| hire_date | date | NO | | NULL | |
| job_id | int(11) | NO | | NULL | |
| salary | varchar(30) | NO | | NULL | |
| commission_pct | char(10) | NO | | NULL | |
| manager_id | char(10) | NO | | NULL | |
| department_id | char(10) | NO | | NULL | |
+----------------+-------------+------+-----+---------+-------+
MariaDB [company]> select * from employees;
+-------------+-------------+-------------+--------------------+---------------+------------+--------+----------+----------------+------------+---------------+
| employee_id | first_name | last_name | email | phone_number | hire_date | job_id | salary | commission_pct | manager_id | department_id |
+-------------+-------------+-------------+--------------------+---------------+------------+--------+----------+----------------+------------+---------------+
| 100 | Steven | King | sking#gmail.com | 515.123.4567 | 2003-06-17 | 1 | 24000.00 | 0.00 | 0 | 90 |
| 101 | Neena | Kochhar | nkochhar#gmail.com | 515.123.4568 | 2005-09-21 | 2 | 17000.00 | 0.00 | 100 | 90 |
| 102 | Lex | Wow | Lwow#gmail.com | 515.123.4569 | 2001-01-13 | 2 | 17000.00 | 0.00 | 100 | 9 |
| 103 | Alexander | Hunold | ahunold#gmail.com | 590.423.4567 | 2006-01-03 | 3 | 9000.00 | 0.00 | 102 | 60 |
| 104 | Bruce | Ernst | bernst#gmail.com | 590.423.4568 | 2007-05-21 | 3 | 6000.00 | 0.00 | 103 | 60 |
| 105 | David | Austin | daustin#gmail.com | 590.423.4569 | 2005-06-25 | 3 | 4800.00 | 0.00 | 103 | 60 |
| 106 | Valli | Pataballa | vpatabal#gmail.com | 590.423.4560 | 2006-02-05 | 3 | 4800.00 | 0.00 | 103 | 60 |
| 107 | Diana | Lorentz | dlorentz#gmail.com | 590.423.5567 | 2007-02-07 | 3 | 4200.00 | 0.00 | 103 | 60 |
| 108 | Nancy | Greenberg | ngreenbe#gmail.com | 515.124.4569 | 2002-08-17 | 4 | 12008.00 | 0.00 | 101 | 100 |
| 109 | Daniel | Faviet | dfaviet#gmail.com | 515.124.4169 | 2002-08-16 | 5 | 9000.00 | 0.00 | 108 | 100 |
| 110 | John | Chen | jchen#gmail.com | 515.124.4269 | 2005-09-28 | 5 | 8200.00 | 0.00 | 108 | 100 |
| 111 | Ismael | Sciarra | isciarra#gmail.com | 515.124.4369 | 2005-09-30 | 5 | 7700.00 | 0.00 | 108 | 100 |
| 112 | Jose | Urman | jurman#gmail.com | 515.124.4469 | 2006-03-07 | 5 | 7800.00 | 0.00 | 108 | 100 |
| 113 | Luis | Popp | lpopp#gmail.com | 515.124.4567 | 2007-12-07 | 5 | 6900.00 | 0.00 | 108 | 100 |
| 114 | Den | Raphaely | drapheal#gmail.com | 515.127.4561 | 2002-12-07 | 6 | 11000.00 | 0.00 | 100 | 30 |
| 115 | Alexander | Khoo | akhoo#gmail.com | 515.127.4562 | 2003-05-18 | 7 | 3100.00 | 0.00 | 114 | 30 |
+-------------+-------------+-------------+--------------------+---------------+------------+--------+----------+----------------+------------+---------------+
I wanted to change the salary column from string to integer. So, I ran this command
MariaDB [company]> alter table employees modify column salary int;
ERROR 1292 (22007): Truncated incorrect INTEGER value: '24000.00'
As you can see it gave me truncation error. I found some previous questions where they showed how to use convert() and trim() but those actually didn't answer my question.
sql code and data can be found here https://0x0.st/oYoB.com_5zfu
I tested this on MySQL and it worked fine. So it is apparently an issue only with MariaDB.
The problem is that a string like '24000.00' is not an integer. Integers don't have a decimal place. So in strict mode, the implicit type conversion fails.
I was able to work around this by running this update first:
update employees set salary = round(salary);
The column is still a string, but '24000.00' has been changed to '24000' (with no decimal point character or following digits).
Then you can alter the data type, and implicit type conversion to integer works:
alter table employees modify column salary int;
See demonstration using MariaDB 10.6:
https://dbfiddle.uk/V6LrEMKt
P.S.: You misspelled the column name "commission_pct" as "comission_pct" in your sample DDL, and I had to edit that to test. In the future, please use one of the db fiddle sites to share samples, because they will test your code.
We have configured Neutron and ml2 agent to use MTU 1500 using linux bridge agent but the VM's cannot run apt update but if we set the MTU to 1450 in the VM network interface works well.
Here is my neutron.conf value and ml2_conf.ini.
neutron.conf:
global_physnet_mtu = 1550
ml2_conf.ini:
[DEFAULT]
path_mtu = 1550
physical_network_mtus = physnet1:1550
Vxlan:
+---------------------------+--------------------------------------+
| Field | Value |
+---------------------------+--------------------------------------+
| admin_state_up | UP |
| availability_zone_hints | |
| availability_zones | nova |
| created_at | 2021-03-30T17:40:59Z |
| description | |
| dns_domain | None |
| id | 4ddce1ef-8151-4c67-b3ca-7519f2ab54c3 |
| ipv4_address_scope | None |
| ipv6_address_scope | None |
| is_default | None |
| is_vlan_transparent | None |
| mtu | 1500 |
| name | gfgfggf |
| port_security_enabled | True |
| project_id | 2467cb8a053d40f0a0a8af43d89d1c32 |
| provider:network_type | vxlan |
| provider:physical_network | None |
| provider:segmentation_id | 2 |
| qos_policy_id | None |
| revision_number | 4 |
| router:external | Internal |
| segments | None |
| shared | False |
| status | ACTIVE |
| subnets | 9a312e58-e830-4dc5-bd6e-ad903230f6b4 |
| tags | |
| updated_at | 2021-03-30T17:57:31Z |
+---------------------------+--------------------------------------+
Anyone can help?
UPDATE: The issue was solved restarting the controller and all hypervisors.
Thanks.
The settings in ml2_conf.ini should be under the heading [ml2]. [DEFAULT] is used in neutron.conf.
I'm trying to work out how, in Azure ML (and therefore R solutions are acceptable), to randomly split data based on a column, such that all records with any given value in that column wind up in one side of the split or another. For example:
+------------+------+--------------------+------+
| Student ID | pass | some_other_feature | week |
+------------+------+--------------------+------+
| 1234 | 1 | Foo | 1 |
| 5678 | 0 | Bar | 1 |
| 9101112 | 1 | Quack | 1 |
| 13141516 | 1 | Meep | 1 |
| 1234 | 0 | Boop | 2 |
| 5678 | 0 | Baa | 2 |
| 9101112 | 0 | Bleat | 2 |
| 13141516 | 1 | Maaaa | 2 |
| 1234 | 0 | Foo | 3 |
| 5678 | 0 | Bar | 3 |
| 9101112 | 1 | Quack | 3 |
| 13141516 | 1 | Meep | 3 |
| 1234 | 1 | Boop | 4 |
| 5678 | 1 | Baa | 4 |
| 9101112 | 0 | Bleat | 4 |
| 13141516 | 1 | Maaaa | 4 |
+------------+------+--------------------+------+
Acceptable output from that if I chose, say, a 50/50 split and to be grouped based on the Student ID column would be two new datasets:
+------------+------+--------------------+------+
| Student ID | pass | some_other_feature | week |
+------------+------+--------------------+------+
| 1234 | 1 | Foo | 1 |
| 1234 | 0 | Boop | 2 |
| 1234 | 0 | Foo | 3 |
| 1234 | 1 | Boop | 4 |
| 9101112 | 1 | Quack | 1 |
| 9101112 | 0 | Bleat | 2 |
| 9101112 | 1 | Quack | 3 |
| 9101112 | 0 | Bleat | 4 |
+------------+------+--------------------+------+
and
+------------+------+--------------------+------+
| Student ID | pass | some_other_feature | week |
+------------+------+--------------------+------+
| 5678 | 0 | Bar | 1 |
| 5678 | 0 | Baa | 2 |
| 5678 | 0 | Bar | 3 |
| 5678 | 1 | Baa | 4 |
| 13141516 | 1 | Meep | 1 |
| 13141516 | 1 | Maaaa | 2 |
| 13141516 | 1 | Meep | 3 |
| 13141516 | 1 | Maaaa | 4 |
+------------+------+--------------------+------+
Now, from what I can tell this is basically the opposite of stratified split, where it would get a random sample with every student represented on both sides.
I would prefer an Azure ML function that did this, but I think that's unlikely so is there an R function or library that gives this kind of functionality? All I could find was questions about stratification which obviously don't help me much.
You can use te following command:
data.fold <- mutate(df, fold = sample(rep_len(1:2, n_distinct(Student ID)))[Student ID])
It returns the original dataframe with an new column that indicates the fold that the student is in. If you want more folds, just adjust the '1:2' part.
I've tried the 'sample unique' way but it did not always work for me in the past.
I have a question about a query that I want to execute, but I dont know what is the best qua performance. I need to get all the words exclude the words that have a relation with the table wordfilter.
The output of the queries is right, but maybe there is a better solution for this. I have almost none knowledge about query plans, I'm trying to understand it now.
SELECT CONCAT(SPACE(1), UCASE(stocknews.word.word), SPACE(1)) AS word, stocknews.word.language
FROM stocknews.word
WHERE NOT EXISTS (SELECT word_id FROM stocknews.wordfilter WHERE stocknews.word.id = word_id)
AND user_id = 1
+----+--------------+------------+-------+---------------+---------+---------+-------+------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | extra |
+----+--------------+------------+-------+---------------+---------+---------+-------+------+-------------+
| 1 | PRIMARY | word | ref | user_id | user_id | 4 | const | 843 | Using where |
| 2 | MATERIALIZED | wordfilter | index | PRIMARY | PRIMARY | 756 | | 16 | Using index |
+----+--------------+------------+-------+---------------+---------+---------+-------+------+-------------+
Against
SELECT CONCAT(SPACE(1), UCASE(stocknews.word.word), SPACE(1)) AS word, stocknews.word.language
FROM stocknews.word
LEFT JOIN stocknews.wordfilter ON stocknews.word.id = stocknews.wordfilter.word_id
WHERE stocknews.wordfilter.word_id IS NULL AND user_id = 1
+----+-------------+------------+------+---------------+---------+---------+---------+------+--------------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | extra |
+----+-------------+------------+------+---------------+---------+---------+---------+------+--------------------------------------+
| 1 | SIMPLE | word | ref | user_id | user_id | 4 | const | 843 | |
| 1 | SIMPLE | wordfilter | ref | PRIMARY | PRIMARY | 4 | word.id | 1 | Using where; Using index; Not exists |
+----+-------------+------------+------+---------------+---------+---------+---------+------+--------------------------------------+
Any help is welcome! An explanation would be nice.
Edit:
For query 1:
+----------------------------+-------+
| Variable_name | Value |
+----------------------------+-------+
| Handler_commit | 1 |
| Handler_delete | 0 |
| Handler_discover | 0 |
| Handler_external_lock | 0 |
| Handler_icp_attempts | 0 |
| Handler_icp_match | 0 |
| Handler_mrr_init | 0 |
| Handler_mrr_key_refills | 0 |
| Handler_mrr_rowid_refills | 0 |
| Handler_prepare | 0 |
| Handler_read_first | 1 |
| Handler_read_key | 1044 |
| Handler_read_last | 0 |
| Handler_read_next | 859 |
| Handler_read_prev | 0 |
| Handler_read_rnd | 0 |
| Handler_read_rnd_deleted | 0 |
| Handler_read_rnd_next | 0 |
| Handler_rollback | 0 |
| Handler_savepoint | 0 |
| Handler_savepoint_rollback | 0 |
| Handler_tmp_update | 0 |
| Handler_tmp_write | 215 |
| Handler_update | 0 |
| Handler_write | 0 |
+----------------------------+-------+
25 rows in set (0.00 sec)
For query 2:
+----------------------------+-------+
| Variable_name | Value |
+----------------------------+-------+
| Handler_commit | 1 |
| Handler_delete | 0 |
| Handler_discover | 0 |
| Handler_external_lock | 0 |
| Handler_icp_attempts | 0 |
| Handler_icp_match | 0 |
| Handler_mrr_init | 0 |
| Handler_mrr_key_refills | 0 |
| Handler_mrr_rowid_refills | 0 |
| Handler_prepare | 0 |
| Handler_read_first | 0 |
| Handler_read_key | 844 |
| Handler_read_last | 0 |
| Handler_read_next | 843 |
| Handler_read_prev | 0 |
| Handler_read_rnd | 0 |
| Handler_read_rnd_deleted | 0 |
| Handler_read_rnd_next | 0 |
| Handler_rollback | 0 |
| Handler_savepoint | 0 |
| Handler_savepoint_rollback | 0 |
| Handler_tmp_update | 0 |
| Handler_tmp_write | 0 |
| Handler_update | 0 |
| Handler_write | 0 |
+----------------------------+-------+
It seems to be a close race between the two formulations. (Some other example may show a clearer winner.)
From the HANDLER values: Query 1 did more read_keys, and some writing (which goes along with MATERIALIZED). The other numbers were about same. So, I conclude that Query 1 is slower -- although possibly not enough slower to make much difference.
I vote for LEFT JOIN as the better query pattern (in this case)