In　this　paper,　a　novel　approach　for　tasks　scheduling　in　XQuery＇s　automatic　parallel　implementation　is　proposed.　The　approach　solves　the　scheduling　problem　on　the　shared　memory　multithread　environment,　which　includes　three　strategies,　i.e.　task　parallelism,　data　parallelism　and　pipeline　parallelism.　An　automaton　model　is　established　for　the　pipeline　parallelism,　which　is　used　to　reduce　the　idle　time　between　pipeline　stages.　The　experimental　results　show　that　our　approach　could　improve　the　performance　and　have　good　memory　efficiency.