Cassandra equivalent of group by
I'm in initial stages of data modeling in Cassandra for an application. This application has existing relational persistence layer, which has to be replaced with Cassandra.
Application uses a table named login_log
for users, which provides last login time for any users in all applications.
Here's the CQL
that I'm using to create this table
create table login_log (
user_id int,
application_name text,
login_date timestamp,
primary key (user_id, application_name, login_date)
) with clustering order by (application_name asc, login_date desc)
user_id
is partition key. application_name
and login_date
are clustering keys. This table maintains a history of logins, data is never deleted in it.
I'm trying to retrieve last login date of given user_id
for all applications in one query.
If I were writing a SQL
query to do the same it would look something like below
select user_id, application_name, max(login_date) from login_log group by user_id, application_name
However it cannot be done in Cassandra, since there's no group by clause or aggregation functions. Arguably clustering columns are already grouped but I'm unable to create a query which retrieves latest login_date
for all applications in one query.
If were doing it for one application CQL
would look like below
select * from login_log where user_id = ? and application_name = ? limit 1
Since cluster are already ordered by login_date
, order by
is not needed. I need to extend the same query to retrieve data for all applications in one go.
Is it possible to do this in Cassandra? If not is there a data modeling technique that will allow me to do this?
Any hint is appreciated.
cassandra cql
add a comment |
I'm in initial stages of data modeling in Cassandra for an application. This application has existing relational persistence layer, which has to be replaced with Cassandra.
Application uses a table named login_log
for users, which provides last login time for any users in all applications.
Here's the CQL
that I'm using to create this table
create table login_log (
user_id int,
application_name text,
login_date timestamp,
primary key (user_id, application_name, login_date)
) with clustering order by (application_name asc, login_date desc)
user_id
is partition key. application_name
and login_date
are clustering keys. This table maintains a history of logins, data is never deleted in it.
I'm trying to retrieve last login date of given user_id
for all applications in one query.
If I were writing a SQL
query to do the same it would look something like below
select user_id, application_name, max(login_date) from login_log group by user_id, application_name
However it cannot be done in Cassandra, since there's no group by clause or aggregation functions. Arguably clustering columns are already grouped but I'm unable to create a query which retrieves latest login_date
for all applications in one query.
If were doing it for one application CQL
would look like below
select * from login_log where user_id = ? and application_name = ? limit 1
Since cluster are already ordered by login_date
, order by
is not needed. I need to extend the same query to retrieve data for all applications in one go.
Is it possible to do this in Cassandra? If not is there a data modeling technique that will allow me to do this?
Any hint is appreciated.
cassandra cql
select user_id, application_name, max(login_date) from login_log group by user_id, application_name
would work with an appropriatemax
function.
– Chris Lohfink
Nov 24 '18 at 1:47
add a comment |
I'm in initial stages of data modeling in Cassandra for an application. This application has existing relational persistence layer, which has to be replaced with Cassandra.
Application uses a table named login_log
for users, which provides last login time for any users in all applications.
Here's the CQL
that I'm using to create this table
create table login_log (
user_id int,
application_name text,
login_date timestamp,
primary key (user_id, application_name, login_date)
) with clustering order by (application_name asc, login_date desc)
user_id
is partition key. application_name
and login_date
are clustering keys. This table maintains a history of logins, data is never deleted in it.
I'm trying to retrieve last login date of given user_id
for all applications in one query.
If I were writing a SQL
query to do the same it would look something like below
select user_id, application_name, max(login_date) from login_log group by user_id, application_name
However it cannot be done in Cassandra, since there's no group by clause or aggregation functions. Arguably clustering columns are already grouped but I'm unable to create a query which retrieves latest login_date
for all applications in one query.
If were doing it for one application CQL
would look like below
select * from login_log where user_id = ? and application_name = ? limit 1
Since cluster are already ordered by login_date
, order by
is not needed. I need to extend the same query to retrieve data for all applications in one go.
Is it possible to do this in Cassandra? If not is there a data modeling technique that will allow me to do this?
Any hint is appreciated.
cassandra cql
I'm in initial stages of data modeling in Cassandra for an application. This application has existing relational persistence layer, which has to be replaced with Cassandra.
Application uses a table named login_log
for users, which provides last login time for any users in all applications.
Here's the CQL
that I'm using to create this table
create table login_log (
user_id int,
application_name text,
login_date timestamp,
primary key (user_id, application_name, login_date)
) with clustering order by (application_name asc, login_date desc)
user_id
is partition key. application_name
and login_date
are clustering keys. This table maintains a history of logins, data is never deleted in it.
I'm trying to retrieve last login date of given user_id
for all applications in one query.
If I were writing a SQL
query to do the same it would look something like below
select user_id, application_name, max(login_date) from login_log group by user_id, application_name
However it cannot be done in Cassandra, since there's no group by clause or aggregation functions. Arguably clustering columns are already grouped but I'm unable to create a query which retrieves latest login_date
for all applications in one query.
If were doing it for one application CQL
would look like below
select * from login_log where user_id = ? and application_name = ? limit 1
Since cluster are already ordered by login_date
, order by
is not needed. I need to extend the same query to retrieve data for all applications in one go.
Is it possible to do this in Cassandra? If not is there a data modeling technique that will allow me to do this?
Any hint is appreciated.
cassandra cql
cassandra cql
asked Nov 23 '18 at 22:09
11thdimension11thdimension
7,49711236
7,49711236
select user_id, application_name, max(login_date) from login_log group by user_id, application_name
would work with an appropriatemax
function.
– Chris Lohfink
Nov 24 '18 at 1:47
add a comment |
select user_id, application_name, max(login_date) from login_log group by user_id, application_name
would work with an appropriatemax
function.
– Chris Lohfink
Nov 24 '18 at 1:47
select user_id, application_name, max(login_date) from login_log group by user_id, application_name
would work with an appropriate max
function.– Chris Lohfink
Nov 24 '18 at 1:47
select user_id, application_name, max(login_date) from login_log group by user_id, application_name
would work with an appropriate max
function.– Chris Lohfink
Nov 24 '18 at 1:47
add a comment |
1 Answer
1
active
oldest
votes
GROUP BY is supported from version 3.10 check improvement ticket here and Cassandra official documentation.
Thank you, it works with latest version.
– 11thdimension
Nov 24 '18 at 3:06
When using UDAs or UDFs make sure you're staying within a partition. Cross partiiton UDAs / UDFs will not perform at scale.
– phact
Nov 24 '18 at 17:22
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
GROUP BY is supported from version 3.10 check improvement ticket here and Cassandra official documentation.
Thank you, it works with latest version.
– 11thdimension
Nov 24 '18 at 3:06
When using UDAs or UDFs make sure you're staying within a partition. Cross partiiton UDAs / UDFs will not perform at scale.
– phact
Nov 24 '18 at 17:22
add a comment |
GROUP BY is supported from version 3.10 check improvement ticket here and Cassandra official documentation.
Thank you, it works with latest version.
– 11thdimension
Nov 24 '18 at 3:06
When using UDAs or UDFs make sure you're staying within a partition. Cross partiiton UDAs / UDFs will not perform at scale.
– phact
Nov 24 '18 at 17:22
add a comment |
GROUP BY is supported from version 3.10 check improvement ticket here and Cassandra official documentation.
GROUP BY is supported from version 3.10 check improvement ticket here and Cassandra official documentation.
answered Nov 23 '18 at 22:37
Dalibor GrudenicDalibor Grudenic
18117
18117
Thank you, it works with latest version.
– 11thdimension
Nov 24 '18 at 3:06
When using UDAs or UDFs make sure you're staying within a partition. Cross partiiton UDAs / UDFs will not perform at scale.
– phact
Nov 24 '18 at 17:22
add a comment |
Thank you, it works with latest version.
– 11thdimension
Nov 24 '18 at 3:06
When using UDAs or UDFs make sure you're staying within a partition. Cross partiiton UDAs / UDFs will not perform at scale.
– phact
Nov 24 '18 at 17:22
Thank you, it works with latest version.
– 11thdimension
Nov 24 '18 at 3:06
Thank you, it works with latest version.
– 11thdimension
Nov 24 '18 at 3:06
When using UDAs or UDFs make sure you're staying within a partition. Cross partiiton UDAs / UDFs will not perform at scale.
– phact
Nov 24 '18 at 17:22
When using UDAs or UDFs make sure you're staying within a partition. Cross partiiton UDAs / UDFs will not perform at scale.
– phact
Nov 24 '18 at 17:22
add a comment |
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select user_id, application_name, max(login_date) from login_log group by user_id, application_name
would work with an appropriatemax
function.– Chris Lohfink
Nov 24 '18 at 1:47