Answer:
Following are the code to this question:
/*using the select statement, that selects column name from the table blog.posts */
SELECT blog.posts.user_id, blog.posts.body, users.name/*column name user_id, body, name*/
FROM blog.posts/* use table name blog.posts*/
RIGHT OUTER JOIN users ON blog.posts.user_id = users.id;/*use right join that connect table through user_id*/
Explanation:
In the structured query language, RIGHT JOIN is used to recovers from both the right side of the table both numbers, although the left table has no sets. It also ensures that even if the 0 (null) documents are linked inside this left table, its entry will always return the outcome row, but still, the number of columns from its left table will be NULL.
In the above-given right join code, the select statements used that selects the column names "user_id, body, and the name" from the table "blog. posts" and use the right join syntax to connect the table through the id.
Answer:
a new rule
Explanation:
Sending meeting invitations, updates and receiving responses generates many messages.
And for this reason we create a rule that filters all meeting related messages to a specific folder and handles a large number of meeting responses.
Answer:
The program code is at explaination
Explanation:
Below is the Python Function;
def check_halves(s):
# exact half not possible condition
if len(s)%2!=0:
return 0
halflen=len(s)//2
s1=s[:halflen]
s2=s[halflen:]
#null string condition
if len(s1)==0 or len(s2)==0:
return 0
#checking 1st digit of string recursively
if s1[0]==s2[0]:
return 1+check_halves(s1[1:]+s2[1:])
else:
return 0
You will find the input and output ad attachment.