public class CassandraData {
private static Session cassandraSession = null;
private static Cluster cluster = null;
CassandraData() {
// Do nothing
}
static {
if (cassandraSession == null) {
QueryOptions qs = new QueryOptions().setConsistencyLevel(ConsistencyLevel.LOCAL_QUORUM);
PoolingOptions poolingOptions = new PoolingOptions();
poolingOptions.setConnectionsPerHost(HostDistance.LOCAL, 2, 10).setConnectionsPerHost(HostDistance.REMOTE,
10, 20);
SocketOptions socketOptions = new SocketOptions();
socketOptions.setConnectTimeoutMillis(60000);
socketOptions.setReadTimeoutMillis(600000);
cluster = Cluster.builder().addContactPoints("***.***.***.***").withQueryOptions(qs)
.withPoolingOptions(poolingOptions).withSocketOptions(socketOptions)
.withLoadBalancingPolicy(new RoundRobinPolicy()).build();
cassandraSession = cluster.connect("sf");
}
// monitor();
}
public Session getSession() {
return cassandraSession;
}
public Data findOne(PK pk) {
Data mc = null;
Statement statement = new SimpleStatement(getCqlString(pk));
ResultSet results = getSession().execute(statement);
List<Row> rowList = results.all();
if (rowList != null && rowList.size() > 0) {
Row row = rowList.get(0);
mc = EntityConvert.ConvertToMC(row);
}
return mc;
}
}
private String getCqlString(PK pk) {
String cqlStr = "select * from table" + " where E='"
+ pk.E + "' and D=" + pk.D + " and M="
+ pk.M;
return cqlStr;
}
的Servlet
public class OneServlet extends HttpServlet {
private static final long serialVersionUID = 1L;
private static final Logger logger = LogManager.getLogger(OneServlet.class);
/**
* @see HttpServlet#HttpServlet()
*/
public OneServlet() {
super();
}
/**
* @see HttpServlet#doGet(HttpServletRequest request, HttpServletResponse
* response)
*/
protected void doGet(HttpServletRequest request, HttpServletResponse response)
throws ServletException, IOException {
response.setContentType("application/json; charset=utf-8");
response.setCharacterEncoding("UTF-8");
long start = System.currentTimeMillis();
PK pk = ValidData.getOnePk();
CassandraData dataAccess = new CassandraData();
long end2 = System.currentTimeMillis();
Data mc = dataAccess.findOne(pk);
String rsJson = JSON.toJSONString(mc);
long end = System.currentTimeMillis();
logger.info("Create CassandraData:" + (end2 - start)/1000.0 +"s elapsed." + "Show One:" + (end - start)/1000.0 +"s elapsed.");
OutputStream out = response.getOutputStream();
out.write(rsJson.getBytes("UTF-8"));
out.flush();
}
/**
* @see HttpServlet#doPost(HttpServletRequest request, HttpServletResponse
* response)
*/
protected void doPost(HttpServletRequest request, HttpServletResponse response)
throws ServletException, IOException {
doGet(request, response);
}
}
在我的Servlet应用程序中,我想使用上面的代码来访问cassandra。 当用户访问Servlet时,获取数据平均需要0.1秒。 当多个用户(如60)访问Servlet时,每个请求平均需要20秒才能获取数据 由于有多个用户,我应该如何修改此代码以减少请求时间?
答案 0 :(得分:0)
private Select getCqlSelect(PK pk) {
Select select = QueryBuilder.select().from("table");
select.where(QueryBuilder.eq("E", pk.E))
.and(QueryBuilder.eq("D", pk.D))
.and(QueryBuilder.eq("M", pk.M)).limit(1)
return select;
}
我使用了Prepared语句并将性能提高了20多倍。
使用预准备语句可提供多种好处。准备好的语句在Cassandra节点上进行解析和准备,从而为将来的执行做好准备。绑定参数时,只通过线路发送这些(和查询ID)。当重复使用相同的查询(具有不同的参数)时,这些性能提升将会增加。
请记住使用预准备语句的规则很简单:准备一次,绑定并执行多次。