In the field of telecommunications precision marketing and ad-hoc query, there are a lot of random queries scenarios on one or more wide-tables (which have more than 50 fields). In the traditional system (the queries are performed on the database directly), the query response time can be optimized less than a few seconds to tens of seconds when the database records size is under 10 million. When the data size reaches tens of millions, hundreds of millions or even more than one billion records, whatever optimization including changing indexing mechanism are unable to meet the second-level concurrency query requirements. In the new query system, we introduce the Solr distributed index layer to solve these problems. The layer will index the database records firstly and queries will access the Solr index layer and not perform on the database directly, therefore, the performance will be improved highly. After a comparison of the two processing patterns in same environment, for the data of 50 million, 20 per concurrent access query scenario, the traditional accessing queries all are timeout;while the other's queries can be returned within 2 seconds and all are success.