为什么要分页
如果一个查询得到的记录数太大,一次性返回回来,那么效率非常低,并且很有可能造成内存溢出,使得整个应用都奔溃。所以,在数据量比较大的时候,分页还是非常有必要的。
方案选择
Token
Cassandra 提供了Token 函数 来记录上次查询的最后一条数据,但是它需要多个primary key, 不适合我们项目。所以放弃之。
JPA
看了下JPA API, 有setMaxResult 和 setFirstResult, 但是发下不work, 后来查了下,Cassandra对offset 还不support,所以这种方案不行。
Query query; List<Person> personList; // Create and execute SELECT * query String cqlString = "Select p from Person p"; // String cqlString = "Select p from Person p"; query = entityManager.createQuery(cqlString).setMaxResults(100).setFirstResult(10); // This solution doesn't work for (int i =0; i<10; i++) { personList = query.getResultList(); // Verify number of records and contents are correct Assert.assertEquals(100, personList.size()); System.out.println("haofan for: " + personList.get(10).getPersonId()); }
PagingState
Cassandra 2.0 has auto paging. Instead of using token function to create paging, it is now a built-in feature.
PagingState: the driver exposes a PagingState object that represents where we were in the result set when the last page was fetched.(可以记录上次最后一页的位置)
public String paging(Session session, String pageState) { Statement statement = new SimpleStatement("SELECT * FROM testkeyspace."PERSON""); statement.setFetchSize(3); if (pageState != null) { statement.setPagingState( PagingState.fromString(pageState)); } ResultSet rs = session.execute(statement); int remaining = rs.getAvailableWithoutFetching(); System.out.println("remaining " + remaining); for (Row row : rs) { System.out.println("first" + row); if (--remaining == 0) { break; } } return rs.getExecutionInfo().getPagingState().toString(); } How to use this function: @Test public void pagingTest() throws Exception { Cluster cluster = Cluster.builder().addContactPoint("localhost").withPort(9042).build(); Session session = cluster.connect(); String pageState = paging(session, null); paging(session, pageState); }
参考
https://docs.datastax.com/en/developer/java-driver/3.6/manual/paging/
https://stackoverflow.com/questions/26757287/results-pagination-in-cassandra-cql
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版权声明:本文为CSDN博主「Frank范」的原创文章,遵循CC 4.0 BY-SA版权协议,转载请附上原文出处链接及本声明。
原文链接:https://blog.csdn.net/u011563903/article/details/83311527