我们在Cassandra建立了数据模型。由于不同系统生成的事件，数据上会发生连续写操作。表的模式定义如下。写操作在表上运行良好，但用id的where子句读取在第99百分位上最多占用9秒。请帮我把这张table设计得更好。数据列包含一个最大为2kb的json字符串。

CREATE TABLE table (
    id text,
    p1 text,
    o1 text,
    s1 text,
    data text,
    enabled boolean,
    PRIMARY KEY (id, p1, o1, s1)
) WITH CLUSTERING ORDER BY (p1 ASC, o1 ASC, s1 ASC)
    AND 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', 'max_threshold': '32', 'min_threshold': '4'}
    AND compression = {'chunk_length_in_kb': '64', 'class': 'org.apache.cassandra.io.compress.LZ4Compressor'}
    AND crc_check_chance = 1.0
    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 = '99PERCENTILE';
CREATE INDEX table_enabled_idx ON table (enabled);