I start in Ruby and Ruby on rails. I am trying to modify the access to this object (below) in base via the form and I will like to filter by the values that are in the table node_tags.
def map
......
nodes = Node.bbox(bbox).where(:visible => true).includes(:node_tags).limit(MAX_NUMBER_OF_NODES + 1)
.....
end
Probably on SQL request
SELECT * FROM nodes n INNER JOIN node_tags nt on n.node_id = nt.node_id where nt.k = 'alert' and nt.v = 'true'
Table nodes
| node_id | latitude | longitude | changeset_id | visible | timestamp | tile | version | redaction_id |
|---------|-----------|-----------|--------------|---------|-----------|------|---------|--------------|
| 11 | 473705641 | 3955487 | 11 | TRUE |
| 12 | 473705641 | 3955487 | 12 | TRUE |
table node_tags
| node_id | k | v |
|---------|-------|------|
| 11 | name | bob |
| 12 | alert | true |
If I understand right, you need to get sql as in your example by ORM (ActiveRecord).
Try this:
nodes = Node.where(:visible => true).join(:node_tags).where("node_tags.k = 'alert' and node_tags.v = 'true'")
Related
I have this simple scope
scope :has_video_link,
-> { where.not(video_link: nil) }
I use it like so in my controller
#videos = Message .featured
.includes(:user, :company, :forum, :topic)
.published
.unremoved
.approved
.has_video_link
.order(created_at: :desc)
.paginate(
page: page,
per_page: limit)
Which I call like so
before_action only: :index
skip_before_action :verify_authenticity_token
def index
self.page_title = 'Home'
fetch_videos
end
That works just fine, and my page loads in under a second on prod no problem. My issue is I have an ajax request that calls this
def videos
fetch_videos
respond_to do |format|
format.js
end
end
On dev this works great but in prod this takes over 60 seconds....
First image is from the first times its called (4ms)
2nd image is the ajax call 69000ms...
Any ideas? How do i fix this?? Thank you!!
edit: here is the explain
EXPLAIN for: SELECT `messages`.* FROM `messages` WHERE `messages`.`is_featured` = 1 AND (messages.created_at<='2021-06-04 12:36:22.241601') AND `messages`.`is_removed` = 0 AND `messages`.`is_approved` = 1 AND (`messages`.`video_link` IS NOT NULL) ORDER BY `messages`.`created_at` DESC LIMIT 5 OFFSET 0
+----+-------------+----------+------------+-------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------------------------------------+---------+------+------+----------+------------------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+----------+------------+-------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------------------------------------+---------+------+------+----------+------------------------------------+
| 1 | SIMPLE | messages | NULL | range | index_messages_on_is_removed_and_user_id_and_created_at,index_messages_on_is_removed_and_message_type_and_created_at,index_messages_on_is_removed_company_id_type_created_at,index_messages_on_is_removed_company_id_created_at_id_user_id,index_messages_on_is_removed_and_created_at,index_messages_on_is_removed_company_id_created_at_rating_count,index_messages_on_is_removed_company_id_user_role_created_at,index_messages_on_is_removed_and_company_id_and_rating_total,index_messages_on_is_removed_and_forum_id_and_created_at,index_messages_on_is_approved,index_messages_on_is_removed_and_is_approved | index_messages_on_is_removed_and_created_at | 7 | NULL | 3470 | 9.0 | Using index condition; Using where |
+----+-------------+----------+------------+-------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------------------------------------+---------+------+------+----------+------------------------------------+
1 row in set (0.00 sec)
EXPLAIN for: SELECT `users`.* FROM `users` WHERE `users`.`id` = 594568
+----+-------------+-------+------------+-------+---------------+---------+---------+-------+------+----------+-------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+-------+---------------+---------+---------+-------+------+----------+-------+
| 1 | SIMPLE | users | NULL | const | PRIMARY | PRIMARY | 4 | const | 1 | 100.0 | NULL |
+----+-------------+-------+------------+-------+---------------+---------+---------+-------+------+----------+-------+
1 row in set (0.00 sec)
EXPLAIN for: SELECT `companies`.* FROM `companies` WHERE `companies`.`id` IN (564013, 562440)
+----+-------------+-----------+------------+-------+---------------+---------+---------+------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+-------+---------------+---------+---------+------+------+----------+-------------+
| 1 | SIMPLE | companies | NULL | range | PRIMARY | PRIMARY | 4 | NULL | 2 | 100.0 | Using where |
+----+-------------+-----------+------------+-------+---------------+---------+---------+------+------+----------+-------------+
1 row in set (0.01 sec)
EXPLAIN for: SELECT `forums`.* FROM `forums` WHERE `forums`.`id` IN (12224, 7759)
+----+-------------+--------+------------+-------+---------------+---------+---------+------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+--------+------------+-------+---------------+---------+---------+------+------+----------+-------------+
| 1 | SIMPLE | forums | NULL | range | PRIMARY | PRIMARY | 4 | NULL | 2 | 100.0 | Using where |
+----+-------------+--------+------------+-------+---------------+---------+---------+------+------+----------+-------------+
1 row in set (0.00 sec)
EXPLAIN for: SELECT `topics`.* FROM `topics` WHERE `topics`.`id` IN (684474, 684473, 684472, 684470, 684467)
+----+-------------+--------+------------+-------+---------------+---------+---------+------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+--------+------------+-------+---------------+---------+---------+------+------+----------+-------------+
| 1 | SIMPLE | topics | NULL | range | PRIMARY | PRIMARY | 4 | NULL | 5 | 100.0 | Using where |
+----+-------------+--------+------------+-------+---------------+---------+---------+------+------+----------+-------------+
1 row in set (0.00 sec)
Solved this issue. All I had to do was simply index video_links and that fixed my issue right up!
How to combine distinct and max within join table below?
Table_details_usage
UID | VE_NO | START_MILEAGE | END_MILEAGE
------------------------------------------------
1 | ASD | 410000 | 410500
2 | JWQ | 212000 | 212350
3 | WYS | 521000 | 521150
4 | JWQ | 212360 | 212400
5 | ASD | 410520 | 410600
Table_service_schedule
SID | VE_NO | SV_ONMILEAGE | SV_NEXTMILEAGE
------------------------------------------------
1 | ASD | 400010 | 410010
2 | JWQ | 212120 | 222120
3 | WYS | 511950 | 521950
4 | JWQ | 212300 | 222300
5 | ASD | 410510 | 420510
How to get display as below (only max value)?
Get Max value from Table_service_schedule (SV_NEXTMILEAGE) and Get Max value from Table_details_usage (END_MILEAGE)
SID | VE_NO | SV_NEXTMILEAGE | END_MILEAGE
--------------------------------------------
5 | ASD | 420510 | 410600
4 | JWQ | 222300 | 212400
3 | WYS | 521950 | 521150
Something in the lines of:
SELECT
SID,
VE_NO,
SV_NEXTMILEAGE,
(select max(END_MILEAGE) from Table_details_usage d where d.VE_NO = s.VE_NO) END_MILEAGE
FROM Table_service_schedule s
WHERE SID = (SELECT max(SID) FROM Table_service_schedule s2 WHERE s2.VE_NO = s.VE_NO)
Probably could need to change the direct value ov SV_NEXTMILEAGE to max as well if the id:s aren't in order...
how to transpose a n x m collection in the return statement ? OR before return statement based on a particular column?
example:
A | B | C
aa | 2 | 3
bb | 4 | 6
cc | 5 | 8
dd | 55| 9
To
aa | bb | cc | dd
2 | 4 | 5 | 55
3 | 6 | 8 | 9
Example:
with [{Label:'User',Lang:'English'},{Label:'Usuario',Lang:'Español'},{Label:'用户',Lang:'中文_简体'}] as t unwind t as p return
this returns
p.Label | p.Lang
User | English
Usuario | Español
用户 | 中文_简体
should be transposed to
User | Usuario | 用户
English | Español | 中文_简体
Well, MAYBE there is what you want in APOC.
CALL apoc.help(KEYWORD)
If not, you are good to write your own function
https://neo4j-contrib.github.io/neo4j-apoc-procedures/#_user_defined_functions
Would extract help? This might get you part-way there:
neo4j> with [{Label:'User',Lang:'English'},{Label:'Usuario',Lang:'Español'},{Label:'用户',Lang:'中文_简体'}] as t return extract( i in t | i.Label), extract(i in t | i.Lang);
+--------------------------------------------------------------+
| extract( i in t | i.Label) | extract(i in t | i.Lang) |
+--------------------------------------------------------------+
| ["User", "Usuario", "用户"] | ["English", "Español", "中文_简体"] |
+--------------------------------------------------------------+
Can not understand why aggregateQuery always returns an empty result. Tried to test in aql, the same problem: 0 rows in set.
Indexes are all there.
aql> show indexes
+---------------+-------------+-----------+------------+-------+------------------------------+-------------+------------+-----------+
| ns | bin | indextype | set | state | indexname | path | sync_state | type |
+---------------+-------------+-----------+------------+-------+------------------------------+-------------+------------+-----------+
| "test" | "name" | "NONE" | "profiles" | "RW" | "inx_test_name" | "name" | "synced" | "STRING" |
| "test" | "age" | "NONE" | "profiles" | "RW" | "inx_test_age" | "age" | "synced" | "NUMERIC" |
aql> select * from test.profiles
+---------+-----+
| name | age |
+---------+-----+
| "Sally" | 19 |
| 20 | |
| 22 | |
| 28 | |
| "Ann" | 22 |
| "Bob" | 22 |
| "Tammy" | 22 |
| "Ricky" | 20 |
| 22 | |
| 19 | |
+---------+-----+
10 rows in set (0.026 secs)
aql> AGGREGATE mystream.avg_age() ON test.profiles WHERE age BETWEEN 20 and 29
0 rows in set (0.004 secs)
It seems that you are trying the example here.
There are two problems about the udf script. I paste the code of the lua script :
function avg_age(stream)
local function female(rec)
return rec.gender == "F"
end
local function name_age(rec)
return map{ name=rec.name, age=rec.age }
end
local function eldest(p1, p2)
if p1.age > p2.age then
return p1
else
return p2
end
end
return stream : filter(female) : map(name_age) : reduce(eldest)
end
First, there is no bin named 'gender' in your set, so you got 0 rows after aggregateQuery.
Second, this script isn't doing exactly what the function name 'avg_age' means, it just return the eldest record with name and age.
I paste my code bellow, it just replace the reduce func, and alert the map and filter func to meat the demand. You can just skip the filter process.
function avg_age(stream)
count = 0
sum = 0
local function female(rec)
return true
end
local function name_age(rec)
return rec.age
end
local function avg(p1, p2)
count = count + 1
sum = sum + p2
return sum / count
end
return stream : filter(female) : map(name_age) : reduce(avg)
end
The output looks like bellow :
AGGREGATE mystream.avg_age() ON test.avgage WHERE age BETWEEN 20 and 29
+---------+
| avg_age |
+---------+
| 22 |
+---------+
1 row in set (0.001 secs)
Hi here's my current query i'd like to 're-filter':
START movie = node(*)
MATCH user-[:LIKE]->category-[:SIMILAR*0..3]-()<-[:TAGGED]->movie
WHERE user.name = "current_user"
WITH DISTINCT movie, user, category
RETURN user.name, category.name, ID(movie), movie.name
ORDER BY movie.name;
http://console.neo4j.org/r/u19iim
Here's how it looks like after current query:
+--------------+----------------+-----------+-------------------------+
| user.name | category.name | ID(movie) | movie.name |
+--------------+----------------+-----------+-------------------------+
| current_user | c | 14 | movie_c_and_d_and_e |
| current_user | d | 14 | movie_c_and_d_and_e |
| current_user | e | 14 | movie_c_and_d_and_e |
| current_user | a | 9 | movie_of_a_and_b_and_b1 |
| current_user | b | 9 | movie_of_a_and_b_and_b1 |
| current_user | b | 10 | movie_of_b2_first |
| current_user | b | 11 | movie_of_b2_second |
| current_user | c | 12 | movie_of_c |
| current_user | d | 13 | movie_of_d_and_e |
| current_user | e | 13 | movie_of_d_and_e |
+--------------+----------------+-----------+-------------------------+
I'd like to GROUP BY COUNT(sugg) AS category_count to extract this:
+--------------+----------------+-----------+-------------------------+
| user.name | category_count | ID(movie) | movie.name |
+--------------+----------------+-----------+-------------------------+
| current_user | 3 | 14 | movie_c_and_d_and_e |
| current_user | 2 | 9 | movie_of_a_and_b_and_b1 |
| current_user | 2 | 13 | movie_of_d_and_e |
| current_user | 1 | 10 | movie_of_b2_first |
| current_user | 1 | 11 | movie_of_b2_second |
| current_user | 1 | 12 | movie_of_c |
+--------------+----------------+-----------+-------------------------+
How can I accomplish this?
Similar questions:
- how to have two aggregation in cypher query in neo4j?
Update
Here's the working result (with demo: http://tinyurl.com/cywlycc):
START movie = node(*)
MATCH user-[:LIKE]->category-[:SIMILAR*0..3]-()<-[:TAGGED]->movie
WHERE user.name = "current_user"
WITH DISTINCT movie, category WITH COUNT(movie) AS category_count, movie, collect(category.name) as categorized
RETURN category_count, ID(movie), movie.name, categorized
ORDER BY category_count DESC;
START movie = node(*)
MATCH user-[:LIKE]->category-[:SIMILAR*0..3]-()<-[:TAGGED]->movie
WHERE user.name = "current_user"
WITH DISTINCT movie, user, category
RETURN user.name, count(category.name) as category_count, ID(movie), movie.name
ORDER BY category_count desc, movie.name asc
http://console.neo4j.org/r/69rfkn