I have a Python script that writes to a SQLite3 database and the table is called notify_users, and it has two text-content columns, language_code and username.
Visualized, then, the notify_users database looks like this:
| language_code | username |
---------------------------------
| de | jane_doe |
| sv | jane_doe |
| fi | jane_doe |
| de | tom_petty |
| zh | tom_petty |
What I'd like to do is be able to use two criteria (both the language_code and username) to delete a specific record.
For example, I'd like to delete the record that has both jane_doe in the username column and de in language_code.
| language_code | username |
---------------------------------
| de | jane_doe | X
| sv | jane_doe |
| fi | jane_doe |
| de | tom_petty |
| zh | tom_petty |
How can I format a DELETE FROM notify_users... query appropriately to accomplish this task? Thanks in advance!
You can string together conditions using and:
conn.execute("""delete from notify_user
where language_code = ? and username = ?;""",('de','jane_doe'))
Related
I have a user table as follows
|------------|-----------------|
| user_id | visited |
|------------|-----------------|
| 1 | 12-23-2021 |
| 1 | 11-23-2021 |
| 1 | 10-23-2021 |
| 2 | 01-21-2021 |
| 3 | 02-19-2021 |
| 3 | 02-25-2021 |
|------------|-----------------|
I'm trying to create an incremental model to get the user's recent visited date.
Since the incremental model needs an unique key, I'm concatenating user_id||visited -> unique_id
DBT + Spark
{{ config(
materialized='incremental',
file_format='delta',
unique_key='unique_id',
incremental_strategy='merge'
) }}
with CTE as (
select user_id,
visited,
user_id||visited as unique_id
from my_table
{% if is_incremental() %}
where visited >= date_add(current_date, -1)
{% endif %}
)
select user_id,
unique_id,
max(visited) as recent_visited_date
from CTE
group by 1,2
This above model is giving me the result as follows
|------------|------------------|-----------------------|
| user_id | unique_id |recent_visited_date |
|------------|------------------|-----------------------|
| 1 | 112-23-2021 | 12-23-2021 |
| 1 | 111-23-2021 | 11-23-2021 |
| 1 | 110-23-2021 | 10-23-2021 |
| 2 | 201-21-2021 | 01-21-2021 |
| 3 | 302-19-2021 | 02-19-2021 |
| 3 | 302-25-2021 | 02-25-2021 |
|------------|------------------|-----------------------|
The output what I wanted is
|------------|------------------------|
| user_id | recent_visited_date |
|------------|------------------------|
| 1 | 12-23-2021 |
| 2 | 01-21-2021 |
| 3 | 02-25-2021 |
|------------|------------------------|
I know that for the incremental model with merge strategy, the unique_id should be in the final table in order to compare
but having the unique_id is giving the wrong output
Is there any other way around to get the max(visited) for the user?
Here is what I want to do:
current table:
+----+-------------+
| id | data |
+----+-------------+
| 1 | max |
| 2 | linda |
| 3 | sam |
| 4 | henry |
+----+-------------+
I have a id_str=1,3,4
Mystery Query - something like:
UPDATE table SET data = 'jen' where id in (id_str)
resulting table:
+----+-------------+
| id | data |
+----+-------------+
| 1 | jen |
| 2 | lindaa |
| 3 | jen |
| 4 | jen |
+----+-------------+
Starting from a list of ids given as a CSV string, say :id_str, you can do:
update mytable
set data = 'jen'
where ',' || :id_str || ',' like ',%' || id || ',%'
An alternative is a regex functions:
where regexp_like(:id_str, '(^|,)' || id || '(,|$)')
Both solutions work, but are rather inefficient. A much better solution would be not to pass the serch parameters as a proper list of values rather than a CSV string.
I have an excel sheet with the following data structure
+-------------+-------------------------------+--+
| title | Dr. | |
| first_name | Adam | |
| last_name | Meyer | |
| email | adam.meyer#my-company.com | |
| phone | +49 (0)931-32187-0 | |
| fax | | |
| room | | |
| position | Direktor | |
| title | | |
| first_name | Judith | |
| last_name | Schmidt | |
| email | judith.schmidt#my-company.com | |
| phone | +49 (0)444-32131-1 | |
| fax | | |
| room | | |
| position | | |
| title | | |
| first_name | Claus | |
| last_name | Niemes | |
| email | claus.niemes#my-company.com | |
| phone | +49 (0)444-32131-2 | |
| fax | | |
| room | | |
| position | Verkäufer | |
| bio | xxxxxxxxxx | |
| title | Dr. | |
| first_name | András | |
| last_name | Cloon | |
| email | andrás.cloon#my-company.de | |
| phone | +49 (0)444-32131-1 | |
+-------------+-------------------------------+--+
Not all 450 Persons have values for all rows. Sometimes is missing the first row with the title for example.
I want to import these data into a mysql database.
I need this result:
I'm not an excel expert that's why I'm happy about every hint how to ease the preparation of the data for the import.
I know how to do the import.
Oh I see what you want now
Sub SortItOUt()
Dim t As Range
Dim r As Range
Set t = Sheets(2).Range("a2") 'I assume a blank second sheet to collect the data
Set r = Sheets(1).Range("a1") 'assume data starts in sheet 1
Do
Dim x As Long
For x = 0 To 7
r.Offset(x, 1).Copy t.Offset(0, x) 'copy and transpose
Next x
Set t = t.Offset(1, 0)
Set r = r.Offset(8, 0)
Loop Until r = ""
End Sub
I have two dataframe to merge.When I run the program with the same input data and code,there will be two situations（First:Successful merge;Second:The data belongs to 'annotate' in merge data is NaN.)
raw_df2 = pd.merge(annotate,raw_df,on='gene',how='right').fillna("unkown")
Then I have a test:
count = 10001
while (count > 10000):
raw_df2 = pd.merge(annotate,raw_df,on='gene',how='right').fillna("unkown")
count = len(raw_df2[raw_df2["type"]=="unkown"])
print(count)
If merge is faild,"raw_df" always is falied during the run.I must resubmit the script,and the result may be successful.
[First two columns are from 'annotate';Others are 'from raw_df']
The failed result:
| type | gene | locus | sample_1 | sample_2 | status | value_1 | value_2 |
+--------+---------------+--------------------------+----------+----------+--------+---------+----------+
| unknow | 0610040J01Rik | chr5:63812494-63899619 | Ctrl | SPION10 | OK | 2.02125 | 0.652688 |
| unknow | 1110008F13Rik | chr2:156863121-156887078 | Ctrl | SPION10 | OK | 87.7115 | 49.8795 |
+--------+---------------+--------------------------+----------+----------+--------+---------+----------+
The successful result:
+--------+----------+------------------------+----------+----------+--------+----------+---------+
| gene | type | locus | sample_1 | sample_2 | status | value_1 | value_2 |
+--------+----------+------------------------+----------+----------+--------+----------+---------+
| St18 | misc_RNA | chr1:6487230-6860940 | Ctrl | SPION10 | OK | 1.90988 | 3.91643 |
| Arid5a | misc_RNA | chr1:36307732-36324029 | Ctrl | SPION10 | OK | 1.33796 | 2.21057 |
| Carf | misc_RNA | chr1:60076867-60153953 | Ctrl | SPION10 | OK | 0.846988 | 1.47619 |
+--------+----------+------------------------+----------+----------+--------+----------+---------+
I have a solution,but I still don't know what cause the previous problem.
Set the column in two dataframe that I want to merge as the Index.Then use the index to merge two dataframe.
Run the script more than 10 times，the result is no longer wrong.
# the first dataframe
DataQiime = pd.read_csv(args.FileTranseq,header=None,sep=',') #
DataQiime.columns=['Feature.ID','Frequency']
DataQiime_index = DataQiime.set_index('Feature.ID', inplace=False, drop=True)
# the second dataframe
DataTranseq = pd.read_table(args.FileQiime,header=0,sep='\t',encoding='utf-8') #
DataTranseq_index = DataTranseq.set_index('Feature.ID', inplace=False, drop=True)
# merge by index
DataMerge = pd.merge(DataQiime,DataTranseq,left_index=True,right_index=True,how="inner")
The requirement is to create three users and then create a template/file to add these three users
Can I achieve this in a single scenario outline?
Scenario Outline: Create users and load to a template
Given I create an user <username>
And the password as <password>
And the description as <description>
Example:
| username | password | description |
| user1 | pwd1 | user1creation |
| user2 | pwd2 | user2creation |
| user3 | pwd3 | user3creation |
When user create a template ??????
can anybody suggest how to write the template creation step and pass the usernames as parameters?
Scenario can be written like this:
Scenario Outline: Create users and load to a template
Given I have the following users:
| username | password | description |
| <username1> | <password1> | <description1> |
| <username2> | <password2> | <description2> |
| <username3> | <password3> | <description3> |
When I create template for users:
| username |
| <username1> |
| <username2> |
| <username3> |
Then users should be added to template
Examples:
| username1 | password1 | description1 | username2 | password2 | description2 | username3 | password3 | description3 |
| user1 | pwd1 | user1creation | user2 | pwd2 | user2creation | user3 | pwd3 | user3creation |
Or as an alternative without using scenario outline:
Scenario: Create users and load to a template
Given I have the following users:
| username | password | description |
| user1 | pwd1 | user1creation |
| user2 | pwd2 | user2creation |
| user3 | pwd3 | user3creation |
When I create template for users:
| username |
| user1 |
| user2 |
| user3 |
Then users should be added to template
In both cases in Given step users should be defined, created in step definition and put to some shared Map, where on When step they can be extraced and added to template.