The phrase "during query" is correct and can be used in written English.
It is typically used to describe a specific point or period in time within a larger process or inquiry. Example: During the query, the researchers analyzed the data and identified trends.
Such a design provides opportunities for better performance, both during query optimization and query execution.
The goal of that work has been to improve cardinality estimation during query optimization by improving statistics on "base tables".
WSQ relies on a novel query processing technique to overcome the bottleneck introduced by high-latency external Web searches during query execution.
In order to use the correlation information for multi-table estimations as well, synopses must also be constructed on "intermediate result tables" during query optimization.
Then based on Lore, a DBMS for semistructured data, we introduce four types of indexes and illustrate how they are used during query processing.
The main bottlenecks contain two aspects: lots of I/O caused by temporary data and heavy communication overhead between different data nodes during query processing.
This provides more flexibility during querying of samples from specifically treated animal models.
The actual values will not be presented at any time (except for values specified for presentation), but they allow for finer data filtering during querying.
Moreover, for multi-join queries, the problem of data-skew is more complicated because the imbalance of intermediate results is unknown during static query optimization.
The key issue is to partition the inverted file such that, during parallel query processing, each workstation consults only its own locally resident data to complete its task.
Because it does not introduce much network traffic or I/O cost during the query evaluation.
