二级索引的Cassandra查询:ReadTimeout:code = 1200

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我正在使用[cqlsh 5.0.1 | Cassandra 2.2.1 | CQL规范3.3.0 |原生协议v4]版本。我有2个节点cassandra集群,复制因子为2。

$ nodetool status test_keyspace
Datacenter: datacenter1
=======================
Status=Up/Down
|/ State=Normal/Leaving/Joining/Moving
--  Address       Load       Tokens       Owns (effective)  Host ID                         Rack
UN  10.xxx.4.xxx  85.32 GB   256          100.0%            xxxx-xx-xx-xx-xx                rack1
UN  10.xxx.4.xxx  80.99 GB   256          100.0%            x-xx-xx-xx-xx                   rack1

[我用x替换了数字]

这是键空间定义。

cqlsh> describe test_keyspace;

CREATE KEYSPACE test_keyspace WITH replication = {'class': 'SimpleStrategy', 'replication_factor': '2'}  AND durable_writes = true;

CREATE TABLE test_keyspace.test_table (
    id text PRIMARY KEY,
    listids map<int, timestamp>
) WITH bloom_filter_fp_chance = 0.01
    AND caching = '{"keys":"ALL", "rows_per_partition":"NONE"}'
    AND comment = ''
    AND compaction = {'class': 'org.apache.cassandra.db.compaction.SizeTieredCompactionStrategy'}
    AND compression = {'sstable_compression': 'org.apache.cassandra.io.compress.LZ4Compressor'}
    AND dclocal_read_repair_chance = 0.1
    AND default_time_to_live = 0
    AND gc_grace_seconds = 864000
    AND max_index_interval = 2048
    AND memtable_flush_period_in_ms = 0
    AND min_index_interval = 128
    AND read_repair_chance = 0.0
    AND speculative_retry = '99.0PERCENTILE';
CREATE INDEX list_index ON test_keyspace.test_table (keys(listids));

id是唯一的,listids's密钥的基数接近1000.我在这个密钥空间有数百万条记录。

我想获得具有特定密钥的记录数以及这些记录的列表。我从cqlsh尝试了这个查询:

select count(1) from test_table where listids contains key 12;

几秒钟后出现此错误:

ReadTimeout: code=1200 [Coordinator node timed out waiting for replica nodes' responses] message="Operation timed out - received only 0 responses." info={'received_responses': 0, 'required_responses': 1, 'consistency': 'ONE'}

我已经在cqlshrc和cassandra.yaml中修改了超时参数。

cat /etc/cassandra/conf/cassandra.yaml | grep read_request_timeout_in_ms
#read_request_timeout_in_ms: 5000
read_request_timeout_in_ms: 300000

cat ~/.cassandra/cqlshrc
[connection]
timeout = 36000
request_timeout = 36000
client_timeout = 36000

当我检查/var/log/cassandra/system.log我只得到这个 -

WARN  [SharedPool-Worker-157] 2016-07-25 11:56:22,010 SelectStatement.java:253 - Aggregation query used without partition key

我正在使用Java客户端构建我的代码。 java客户端也获得了很多读取超时。一种解决方案可能是重新构建我的数据,但这需要更多时间(虽然我不确定)。有人建议快速解决这个问题吗?

添加统计信息:

$ nodetool cfstats test_keyspace
Keyspace: test_keyspace
    Read Count: 5928987886
    Read Latency: 3.468279416568199 ms.
    Write Count: 1590771056
    Write Latency: 0.02020026287239664 ms.
    Pending Flushes: 0
        Table (index): test_table.list_index
        SSTable count: 9
        Space used (live): 9664953448
        Space used (total): 9664953448
        Space used by snapshots (total): 4749
        Off heap memory used (total): 1417400
        SSTable Compression Ratio: 0.822577888909709
        Number of keys (estimate): 108
        Memtable cell count: 672265
        Memtable data size: 30854168
        Memtable off heap memory used: 0
        Memtable switch count: 0
        Local read count: 1718274
        Local read latency: 63.356 ms
        Local write count: 1031719451
        Local write latency: 0.015 ms
        Pending flushes: 0
        Bloom filter false positives: 369
        Bloom filter false ratio: 0.00060
        Bloom filter space used: 592
        Bloom filter off heap memory used: 520
        Index summary off heap memory used: 144
        Compression metadata off heap memory used: 1416736
        Compacted partition minimum bytes: 73
        Compacted partition maximum bytes: 2874382626
        Compacted partition mean bytes: 36905317
        Average live cells per slice (last five minutes): 5389.0
        Maximum live cells per slice (last five minutes): 51012
        Average tombstones per slice (last five minutes): 2.0
        Maximum tombstones per slice (last five minutes): 2759

        Table: test_table
        SSTable count: 559
        Space used (live): 62368820540
        Space used (total): 62368820540
        Space used by snapshots (total): 4794
        Off heap memory used (total): 817427277
        SSTable Compression Ratio: 0.4856571513639344
        Number of keys (estimate): 96692796
        Memtable cell count: 2587248
        Memtable data size: 27398085
        Memtable off heap memory used: 0
        Memtable switch count: 558
        Local read count: 5927272991
        Local read latency: 3.788 ms
        Local write count: 559051606
        Local write latency: 0.037 ms
        Pending flushes: 0
        Bloom filter false positives: 4905594
        Bloom filter false ratio: 0.00023
        Bloom filter space used: 612245816
        Bloom filter off heap memory used: 612241344
        Index summary off heap memory used: 196239565
        Compression metadata off heap memory used: 8946368
        Compacted partition minimum bytes: 43
        Compacted partition maximum bytes: 1916
        Compacted partition mean bytes: 173
        Average live cells per slice (last five minutes): 1.0
        Maximum live cells per slice (last five minutes): 1
        Average tombstones per slice (last five minutes): 1.0
        Maximum tombstones per slice (last five minutes): 1
答案

您可以重新设计表,也可以在多个较小的查询中拆分查询。

您正在选择使用辅助索引而不使用分区键(这就是警告告诉您的内容)。这样做,您基本上执行全表扫描。您的节点必须查看每个分区才能满足您的请求。

不改变数据模型的解决方案是迭代所有分区并在每个分区运行一次查询。

select count(*) from test_table where id = 'somePartitionId' and listids contains key 12;

这样,您的节点就知道您正在寻找这些信息的分区。然后,您必须在客户端聚合这些查询的结果。

另一答案

我遇到了同样的问题。试过1)#也可以设置为None来禁用:home_timeout =在家庭.cassandra的cqlshrc中没有。没有帮助。

2)增加了ym.cassandra.yaml中的超时* timeout_in_ms

也没有帮助。最后,我决定在我的java代码中运行select子句循环并收到计数。 1200万行给了我7秒的计数。它很快。

Cluster cluster = Cluster.builder()
            .addContactPoints(serverIp)
            .build();

     session = cluster.connect(keyspace);


    String cqlStatement = "SELECT count(*) FROM imadmin.device_appclass_attributes";
    //String cqlStatement = "SELECT * FROM system_schema.keyspaces";
    for (Row row : session.execute(cqlStatement)) {
        System.out.println(row.toString());
    }

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