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问题 cassandra table seq | keywords | timestamp -----+---------------------+--------------- 100 | ['apple', 'banana'] | 1488637750836 wanted result seq | keyword_size -----+-------------- 100 | 2 query select seq, something(keywords) as keyword_size from t where seq = 100 Is there something like function for count column items? 回答1: There is no builtin method to do this What you can do is get the keywords using a query and get the size using Java or Other programming language from your application

问题 cassandra table seq | keywords | timestamp -----+---------------------+--------------- 100 | ['apple', 'banana'] | 1488637750836 wanted result seq | keyword_size -----+-------------- 100 | 2 query select seq, something(keywords) as keyword_size from t where seq = 100 Is there something like function for count column items? 回答1: There is no builtin method to do this What you can do is get the keywords using a query and get the size using Java or Other programming language from your application

问题 cassandra table seq | keywords | timestamp -----+---------------------+--------------- 100 | ['apple', 'banana'] | 1488637750836 wanted result seq | keyword_size -----+-------------- 100 | 2 query select seq, something(keywords) as keyword_size from t where seq = 100 Is there something like function for count column items? 回答1: There is no builtin method to do this What you can do is get the keywords using a query and get the size using Java or Other programming language from your application

问题 I have documents like {"domain":"US", "zipcode":"11111", "eventType":"click", "id":"1", "time":100} {"domain":"US", "zipcode":"22222", "eventType":"sell", "id":"2", "time":200} {"domain":"US", "zipcode":"22222", "eventType":"click", "id":"3","time":150} {"domain":"US", "zipcode":"11111", "eventType":"sell", "id":"4","time":350} {"domain":"US", "zipcode":"33333", "eventType":"sell", "id":"5","time":225} {"domain":"EU", "zipcode":"44444", "eventType":"click", "id":"5","time":120} I want to

问题 I'm doing some request to help a game dev to balance his game, i'm trying to see how many player use what rune, and at what average level here is my code : declare @runeID varchar(100) set @runeID=22001 select counT(i.characterid) as 'user level 1 to 10', avg(i.maxUpgrade) as 'average level' from items i inner join characters c on i.characterId=c.characterId where itemId=@runeID and level>0 and level<11 and attached>0 select counT(i.characterid) as 'user level 11 to 20', avg(i.maxUpgrade) as

问题 I'm doing some request to help a game dev to balance his game, i'm trying to see how many player use what rune, and at what average level here is my code : declare @runeID varchar(100) set @runeID=22001 select counT(i.characterid) as 'user level 1 to 10', avg(i.maxUpgrade) as 'average level' from items i inner join characters c on i.characterId=c.characterId where itemId=@runeID and level>0 and level<11 and attached>0 select counT(i.characterid) as 'user level 11 to 20', avg(i.maxUpgrade) as

问题 I have the following situation, using SQLAlchemy with a MySQL database. Assume a Person table that looks like this: +------+-----------+----------+------------+ | ID | firstname | lastname | startdate | +------+-----------+----------+------------+ | 43 | Bob | Smith | 2016-12-04 | | 873 | Mary | Jones | 2018-05-01 | | 120 | Bob | Smith | 2020-04-02 | | 339 | Bob | Jones | 2019-03-01 | | 1022 | Bob | Smith | 2015-11-21 | +------+-----------+----------+------------+ I need to generate an extra

问题 I have the following situation, using SQLAlchemy with a MySQL database. Assume a Person table that looks like this: +------+-----------+----------+------------+ | ID | firstname | lastname | startdate | +------+-----------+----------+------------+ | 43 | Bob | Smith | 2016-12-04 | | 873 | Mary | Jones | 2018-05-01 | | 120 | Bob | Smith | 2020-04-02 | | 339 | Bob | Jones | 2019-03-01 | | 1022 | Bob | Smith | 2015-11-21 | +------+-----------+----------+------------+ I need to generate an extra

问题 I am trying to build up a matrix out of a table that is imported from Google Analytics data into BigQuery. The table represents hits on a website that contain session_IDs alongside some properties such as the url, timestamp etc. Also, there are some metadata based on user-defined actions that we refer to as events. Below is an example of the table. session_id hit_timestamp url event_category 1 11:12:23 url134 event1 1 11:14:23 url2234 event2 1 11:16:23 url_target null 2 03:12:11 url2344

问题 I can calculate the number of ids in a month and then sum it up over 12 months. I also get the average using this code. select id, to_char(event_month, 'yyyy') event_year, sum(cnt) overall_count, avg(cnt) average_count from ( select id, trunc(event_date, 'month') event_month, count(*) cnt from daily where event_date >= date '2019-01-01' and event_date < '2019-01-31' group by id, trunc(event_date, 'month') ) t group by id, to_char(event_month, 'yyyy') The results looks something like this: ID|