随着数据库快速不断地增长,通过访问所有数据收集统计信息的能力可能会受到固定的批量窗口、内存和CPU约束的阻碍。
With databases growing at an unrelenting pace, the ability to collect statistics by accessing all of the data may be hampered by fixed batch Windows or memory and CPU constraints.
由于不能满足成分数据两个约束条件,以往对按时间顺序收集的成分数据预测,其预测值之和不等于1。
Because it cannot reach the two constrained conditions, previous forecast value based on time series composition data cannot add up to 1.
收集的鱼类食谱,从落后的约束。
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