3.通过Jedis访问Redis——八种调用方式

package com.gqshao.redis.connection;

import org.junit.Test;
import redis.clients.jedis.*;

import java.util.Arrays;
import java.util.List;

/**
 * Redis的Java客户端Jedis的八种调用方式
 */
public class ConnectionTest {

    /**
     * 普通连接方式
     * Simple SET: 95.437 seconds
     */
    @Test
    public void testNormal() {
        Jedis jedis = new Jedis("192.168.3.98", 6379);
        long start = System.currentTimeMillis();
        for (int i = 0; i < 100000; i++) {
            String result = jedis.set("n" + i, "n" + i);
        }
        long end = System.currentTimeMillis();
        System.out.println("Simple SET: " + ((end - start) / 1000.0) + " seconds");
        // 销毁
        jedis.close();
    }

    /**
     * 普通连接池方式
     * POOL SET: 99.789 seconds
     *
     */
    @Test
    public void testSimplePool() {
        JedisPool pool = new JedisPool(new JedisPoolConfig(), "192.168.3.98", 6379, 0);
        Jedis jedis = pool.getResource();
        long start = System.currentTimeMillis();
        for (int i = 0; i < 100000; i++) {
            String result = jedis.set("np" + i, "vp" + i);
        }
        long end = System.currentTimeMillis();
        pool.returnResource(jedis);
        System.out.println("POOL SET: " + ((end - start) / 1000.0) + " seconds");
        // 销毁
        jedis.close();
    }

    /**
     * 事务方式(Transactions)
     * 通过multi(开启一个事务)、exec(执行)、discard（放弃事务）
     * Transaction SET: 0.926 seconds
     */
    @Test
    public void testMulti() {
        Jedis jedis = new Jedis("192.168.3.98", 6379);
        long start = System.currentTimeMillis();
        Transaction tx = jedis.multi();
        for (int i = 0; i < 100000; i++) {
            tx.set("t" + i, "v" + i);
        }
        List<Object> results = tx.exec();
        long end = System.currentTimeMillis();
        System.out.println("Transaction SET: " + ((end - start) / 1000.0) + " seconds");
        jedis.close();
    }

    /**
     * 管道(Pipelining)
     * 异步方式，一次发送多个指令
     * Pipelined SET: 0.742 seconds
     */
    @Test
    public void testPipelining() {
        Jedis jedis = new Jedis("192.168.3.98", 6379);
        Pipeline pipeline = jedis.pipelined();
        long start = System.currentTimeMillis();
        for (int i = 0; i < 100000; i++) {
            pipeline.set("p" + i, "p" + i);
        }
        List<Object> results = pipeline.syncAndReturnAll();
        long end = System.currentTimeMillis();
        System.out.println("Pipelined SET: " + ((end - start) / 1000.0) + " seconds");
        jedis.close();
    }

    /**
     * 管道中调用事务
     * 测试中会发生 java.lang.StackOverflowError
     */
    @Test
    public void testPipeliningWithMulti() {
        Jedis jedis = new Jedis("192.168.3.98", 6379);
        long start = System.currentTimeMillis();
        Pipeline pipeline = jedis.pipelined();
        pipeline.multi();
        // >10000次会内存溢出
        /*for (int i = 0; i < 100000; i++) {
            pipeline.set("" + i, "" + i);
        }*/
        for (int i = 0; i < 1000; i++) {
            pipeline.set("" + i, "" + i);
        }
        pipeline.exec();
        List<Object> results = pipeline.syncAndReturnAll();
        long end = System.currentTimeMillis();
        System.out.println("Pipelined transaction: " + ((end - start) / 1000.0) + " seconds");
        jedis.close();
    }

    /**
     * 分布式直接连接同步调用
     * 通过List<JedisShardInfo>中Info的顺序和key，计算hash,确定key为固定的Redis上
     * Simple@Sharing SET: 95.106 seconds
     */
    @Test
    public void testshardNormal() {
        List<JedisShardInfo> shards = Arrays.asList(
                new JedisShardInfo("192.168.3.98", 6379),
                new JedisShardInfo("192.168.3.98", 6380));

        ShardedJedis sharding = new ShardedJedis(shards);

        long start = System.currentTimeMillis();
        for (int i = 0; i < 100000; i++) {
            String result = sharding.set("sn" + i, "n" + i);
        }
        long end = System.currentTimeMillis();
        System.out.println("Simple@Sharing SET: " + ((end - start) / 1000.0) + " seconds");

        sharding.close();
    }

    /**
     * 分布式直接连接管道异步调用，key的分配结果同 分布式直接连接同步调用 相同
     * Pipelined@Sharing SET: 0.856 seconds
     */
    @Test
    public void testshardPipelining() {
        List<JedisShardInfo> shards = Arrays.asList(
                new JedisShardInfo("192.168.3.98", 6379),
                new JedisShardInfo("192.168.3.98", 6380));

        ShardedJedis sharding = new ShardedJedis(shards);
        ShardedJedisPipeline pipeline = sharding.pipelined();
        long start = System.currentTimeMillis();
        for (int i = 0; i < 100000; i++) {
            pipeline.set("sp" + i, "p" + i);
        }
        List<Object> results = pipeline.syncAndReturnAll();
        long end = System.currentTimeMillis();
        System.out.println("Pipelined@Sharing SET: " + ((end - start) / 1000.0) + " seconds");

        sharding.close();
    }

    /**
     * 分布式连接池同步调用
     */
    @Test
    public void testShardSimplePool() {
        List<JedisShardInfo> shards = Arrays.asList(
                new JedisShardInfo("192.168.3.98", 6379),
                new JedisShardInfo("192.168.3.98", 6380));

        ShardedJedisPool pool = new ShardedJedisPool(new JedisPoolConfig(), shards);

        ShardedJedis one = pool.getResource();

        long start = System.currentTimeMillis();
        for (int i = 0; i < 100000; i++) {
            String result = one.set("spn" + i, "n" + i);
        }
        long end = System.currentTimeMillis();
        pool.returnResource(one);
        System.out.println("Simple@Pool SET: " + ((end - start) / 1000.0) + " seconds");

        pool.destroy();
    }

    /**
     * 分布式连接池异步调用相同，返回管道与分布式直接连接管道异步调用
     * Simple@Pool SET: 94.094 seconds
     */
    @Test
    public void testShardPoolWithPipelined() {
        List<JedisShardInfo> shards = Arrays.asList(
                new JedisShardInfo("localhost", 6379),
                new JedisShardInfo("localhost", 6380));

        ShardedJedisPool pool = new ShardedJedisPool(new JedisPoolConfig(), shards);

        ShardedJedis one = pool.getResource();

        ShardedJedisPipeline pipeline = one.pipelined();

        long start = System.currentTimeMillis();
        for (int i = 0; i < 100000; i++) {
            pipeline.set("sppn" + i, "n" + i);
        }
        List<Object> results = pipeline.syncAndReturnAll();
        long end = System.currentTimeMillis();
        pool.returnResource(one);
        System.out.println("Pipelined@Pool SET: " + ((end - start) / 1000.0) + " seconds");
        pool.destroy();
    }


}

 

评论

1 楼 s33ker 2015-01-09  

这么多调用方法，为嘛时间是能差别这么大，那哪一种是项目中用的