The use case that we solve with Cassandra is this: we need to get a list of UUIDs of objects that have been updated over a certain period of time over the past 90 days. Imagine that we are creating a document tracking system, so our corresponding object is a document whose key is UUID.
The query we need to support in this case is: Find all the UUIDs of the document that have changed between StartDateTime and EndDateTime.
Question 1: What is the best Cassandra table design that supports this query?
I think the answer is this:
CREATE TABLE document_change_events (
event_uuid TIMEUUID,
document_uuid uuid,
PRIMARY KEY ((event_uuid), document_uuid)
) WITH default_time_to_live='7776000';
And given that we cannot do range queries on partition keys, we need to use a method token(). Thus, the request will be as follows:
SELECT document_uuid
WHERE token(event_uuid) > token(minTimeuuid(?))
AND token(event_uuid) < token(maxTimeuuid(?))
For instance:
SELECT document_uuid
WHERE token(event_uuid) > token(minTimeuuid('2015-05-10 00:00+0000'))
AND token(event_uuid) < token(maxTimeuuid('2015-05-20 00:00+0000'))
2: , Java, DataStax, .
10 , 30 , 10 :
private void addEvent() {
String cql = "INSERT INTO document_change_events (event_uuid, document_uuid) VALUES(?,?)";
PreparedStatement preparedStatement = cassandraSession.prepare(cql);
BoundStatement boundStatement = new BoundStatement(preparedStatement);
boundStatement.setConsistencyLevel(ConsistencyLevel.ANY);
boundStatement.setUUID("event_uuid", UUIDs.timeBased());
boundStatement.setUUID("document_uuid", UUIDs.random());
cassandraSession.execute(boundStatement);
}
:
cqlsh:> select event_uuid, dateOf(event_uuid), document_uuid from document_change_events;
event_uuid | dateOf(event_uuid) | document_uuid
--------------------------------------+--------------------------+--------------------------------------
414decc0-0014-11e5-93a9-51f9a7931084 | 2015-05-21 18:51:09-0500 | 92b6fb6a-9ded-47b0-a91c-68c63f45d338
9abb4be0-0014-11e5-93a9-51f9a7931084 | 2015-05-21 18:53:39-0500 | 548b320a-10f6-409f-a921-d4a1170a576e
6512b960-0014-11e5-93a9-51f9a7931084 | 2015-05-21 18:52:09-0500 | 970e5e77-1e07-40ea-870a-84637c9fc280
53307a20-0014-11e5-93a9-51f9a7931084 | 2015-05-21 18:51:39-0500 | 11b4a49c-b73d-4c8d-9f88-078a6f303167
ac9e0050-0014-11e5-93a9-51f9a7931084 | 2015-05-21 18:54:10-0500 | b29e7915-7c17-4900-b784-8ac24e9e72e2
88d7fb30-0014-11e5-93a9-51f9a7931084 | 2015-05-21 18:53:09-0500 | c8188b73-1b97-4b32-a897-7facdeecea35
0ba5cf70-0014-11e5-93a9-51f9a7931084 | 2015-05-21 18:49:39-0500 | a079b30f-be80-4a99-ae0e-a784d82f0432
76f56dd0-0014-11e5-93a9-51f9a7931084 | 2015-05-21 18:52:39-0500 | 3b593ca6-220c-4a8b-8c16-27dc1fb5adde
1d88f910-0014-11e5-93a9-51f9a7931084 | 2015-05-21 18:50:09-0500 | ec155e0b-39a5-4d2f-98f0-0cd7a5a07ec8
2f6b3850-0014-11e5-93a9-51f9a7931084 | 2015-05-21 18:50:39-0500 | db42271b-04f2-45d1-9ae7-0c8f9371a4db
(10 rows)
:
private static void retrieveEvents(Instant startInstant, Instant endInstant) {
String cql = "SELECT document_uuid FROM document_change_events " +
"WHERE token(event_uuid) > token(?) AND token(event_uuid) < token(?)";
PreparedStatement preparedStatement = cassandraSession.prepare(cql);
BoundStatement boundStatement = new BoundStatement(preparedStatement);
boundStatement.setConsistencyLevel(ConsistencyLevel.LOCAL_QUORUM);
boundStatement.bind(UUIDs.startOf(Date.from(startInstant).getTime()),
UUIDs.endOf(Date.from(endInstant).getTime()));
ResultSet resultSet = cassandraSession.execute(boundStatement);
if (resultSet == null) {
System.out.println("None found.");
return;
}
while (!resultSet.isExhausted()) {
System.out.println(resultSet.one().getUUID("document_uuid"));
}
}
:
3b593ca6-220c-4a8b-8c16-27dc1fb5adde
ec155e0b-39a5-4d2f-98f0-0cd7a5a07ec8
db42271b-04f2-45d1-9ae7-0c8f9371a4db
10 ? ?
, dsc-2.1.1, dse-4.6 DataStax Java Driver v2.1.6.