本文整理汇总了Java中org.apache.kylin.query.optrule.OLAPSortRule类的典型用法代码示例。如果您正苦于以下问题：Java OLAPSortRule类的具体用法？Java OLAPSortRule怎么用？Java OLAPSortRule使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
OLAPSortRule类属于org.apache.kylin.query.optrule包，在下文中一共展示了OLAPSortRule类的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: register
import org.apache.kylin.query.optrule.OLAPSortRule; //导入依赖的package包/类
@Override
public void register(RelOptPlanner planner) {
// force clear the query context before traversal relational operators
OLAPContext.clearThreadLocalContexts();
// register OLAP rules
planner.addRule(OLAPToEnumerableConverterRule.INSTANCE);
planner.addRule(OLAPFilterRule.INSTANCE);
planner.addRule(OLAPProjectRule.INSTANCE);
planner.addRule(OLAPAggregateRule.INSTANCE);
planner.addRule(OLAPJoinRule.INSTANCE);
planner.addRule(OLAPLimitRule.INSTANCE);
planner.addRule(OLAPSortRule.INSTANCE);
// since join is the entry point, we can't push filter past join
planner.removeRule(PushFilterPastJoinRule.FILTER_ON_JOIN);
planner.removeRule(PushFilterPastJoinRule.JOIN);
// TODO : since we don't have statistic of table, the optimization of join is too cost
planner.removeRule(SwapJoinRule.INSTANCE);
planner.removeRule(PushJoinThroughJoinRule.LEFT);
planner.removeRule(PushJoinThroughJoinRule.RIGHT);
// for columns in having clause will enable table scan filter rule
// cause kylin does not depend on MPP
planner.removeRule(PushFilterPastProjectRule.INSTANCE);
// distinct count will be split into a separated query that is joined with the left query
planner.removeRule(RemoveDistinctAggregateRule.INSTANCE);
// see Dec 26th email @ http://mail-archives.apache.org/mod_mbox/calcite-dev/201412.mbox/browser
planner.removeRule(ExpandConversionRule.INSTANCE);
}
示例2: register
import org.apache.kylin.query.optrule.OLAPSortRule; //导入依赖的package包/类
@Override
public void register(RelOptPlanner planner) {
// force clear the query context before traversal relational operators
OLAPContext.clearThreadLocalContexts();
// register OLAP rules
addRules(planner, kylinConfig.getCalciteAddRule());
planner.addRule(OLAPToEnumerableConverterRule.INSTANCE);
planner.addRule(OLAPFilterRule.INSTANCE);
planner.addRule(OLAPProjectRule.INSTANCE);
planner.addRule(OLAPAggregateRule.INSTANCE);
planner.addRule(OLAPJoinRule.INSTANCE);
planner.addRule(OLAPLimitRule.INSTANCE);
planner.addRule(OLAPSortRule.INSTANCE);
planner.addRule(OLAPUnionRule.INSTANCE);
planner.addRule(OLAPWindowRule.INSTANCE);
// Support translate the grouping aggregate into union of simple aggregates
planner.addRule(AggregateMultipleExpandRule.INSTANCE);
planner.addRule(AggregateProjectReduceRule.INSTANCE);
// CalcitePrepareImpl.CONSTANT_REDUCTION_RULES
planner.addRule(ReduceExpressionsRule.PROJECT_INSTANCE);
planner.addRule(ReduceExpressionsRule.FILTER_INSTANCE);
planner.addRule(ReduceExpressionsRule.CALC_INSTANCE);
planner.addRule(ReduceExpressionsRule.JOIN_INSTANCE);
// the ValuesReduceRule breaks query test somehow...
// planner.addRule(ValuesReduceRule.FILTER_INSTANCE);
// planner.addRule(ValuesReduceRule.PROJECT_FILTER_INSTANCE);
// planner.addRule(ValuesReduceRule.PROJECT_INSTANCE);
removeRules(planner, kylinConfig.getCalciteRemoveRule());
// since join is the entry point, we can't push filter past join
planner.removeRule(FilterJoinRule.FILTER_ON_JOIN);
planner.removeRule(FilterJoinRule.JOIN);
// since we don't have statistic of table, the optimization of join is too cost
planner.removeRule(JoinCommuteRule.INSTANCE);
planner.removeRule(JoinPushThroughJoinRule.LEFT);
planner.removeRule(JoinPushThroughJoinRule.RIGHT);
// keep tree structure like filter -> aggregation -> project -> join/table scan, implementOLAP() rely on this tree pattern
planner.removeRule(AggregateJoinTransposeRule.INSTANCE);
planner.removeRule(AggregateProjectMergeRule.INSTANCE);
planner.removeRule(FilterProjectTransposeRule.INSTANCE);
planner.removeRule(SortJoinTransposeRule.INSTANCE);
planner.removeRule(JoinPushExpressionsRule.INSTANCE);
planner.removeRule(SortUnionTransposeRule.INSTANCE);
planner.removeRule(JoinUnionTransposeRule.LEFT_UNION);
planner.removeRule(JoinUnionTransposeRule.RIGHT_UNION);
planner.removeRule(AggregateUnionTransposeRule.INSTANCE);
planner.removeRule(DateRangeRules.FILTER_INSTANCE);
planner.removeRule(SemiJoinRule.JOIN);
planner.removeRule(SemiJoinRule.PROJECT);
// distinct count will be split into a separated query that is joined with the left query
planner.removeRule(AggregateExpandDistinctAggregatesRule.INSTANCE);
// see Dec 26th email @ http://mail-archives.apache.org/mod_mbox/calcite-dev/201412.mbox/browser
planner.removeRule(ExpandConversionRule.INSTANCE);
}