{"error":{"root_cause":[{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@6e84e9a5 on QueueResizingEsThreadPoolExecutor[name = css-xiangyan_12580-ess-esn-3-1/search, queue capacity = 1000, min queue capacity = 1000, max queue capacity = 1000, frame size = 2000, targeted response rate = 1s, task execution EWMA = 59.5ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@5e356bcd[Running, pool size = 7, active threads = 7, queued tasks = 1000, completed tasks = 1081170729]]"}],"type":"search_phase_execution_exception","reason":"all shards failed","phase":"query","grouped":true,"failed_shards":[{"shard":0,"index":"cnxiangyan_article","node":"ebZzB9E6R5iWlSsiSKs_3A","reason":{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@6e84e9a5 on QueueResizingEsThreadPoolExecutor[name = css-xiangyan_12580-ess-esn-3-1/search, queue capacity = 1000, min queue capacity = 1000, max queue capacity = 1000, frame size = 2000, targeted response rate = 1s, task execution EWMA = 59.5ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@5e356bcd[Running, pool size = 7, active threads = 7, queued tasks = 1000, completed tasks = 1081170729]]"}}],"caused_by":{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@6e84e9a5 on QueueResizingEsThreadPoolExecutor[name = css-xiangyan_12580-ess-esn-3-1/search, queue capacity = 1000, min queue capacity = 1000, max queue capacity = 1000, frame size = 2000, targeted response rate = 1s, task execution EWMA = 59.5ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@5e356bcd[Running, pool size = 7, active threads = 7, queued tasks = 1000, completed tasks = 1081170729]]","caused_by":{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@6e84e9a5 on QueueResizingEsThreadPoolExecutor[name = css-xiangyan_12580-ess-esn-3-1/search, queue capacity = 1000, min queue capacity = 1000, max queue capacity = 1000, frame size = 2000, targeted response rate = 1s, task execution EWMA = 59.5ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@5e356bcd[Running, pool size = 7, active threads = 7, queued tasks = 1000, completed tasks = 1081170729]]"}}},"status":429}
小米的Redmi K40手機最近可謂是風頭正盛,網上到處都有關于他們的消息,而據香煙網小編了解到,Redmi K40系列將再出新款,這款名為Redmi K40輕奢版。想必很多人都好奇這款手機有什么亮點,下面香煙網小編為您整理了redmik40輕奢版參數曝光的相關內容,希望對各位小伙伴有所幫助。

近日,Redmi品牌總經理盧偉冰發文征求網友意見,詢問用戶還期待哪款芯片。這就意味著K40系列將要迎來全新成員,甚至盧偉冰還暗示新機可能會被命名為“K40輕奢版”。
結合此前爆料來看,這款神秘的“K40輕奢版”可能正是之前曾被曝光過的天璣1100新機。
據悉,該機將配備一塊2400*1080p高刷居中單孔屏,機身內置5000mAh±電池,支持67w快充,后置主攝為6400萬像素。
從參數上來看,這款神秘新機整體都與Redmi K40游戲版保持一致,并同時留了5000mAh超大電池+67W快充的組合,預計外觀方面也將完全保留,僅核心更改為天璣1100。
據悉,天璣1100處理器采用了全新6nm EUV工藝打造,其采用了4*2.6GHz A78+4*2.0GHz A55的八核架構,GPU為Mali-G77 MC9,整體與天璣1200的性能差距并不大,但是可能會帶來更多的價格優勢。
這就意味著搭載天璣1100的“K40輕奢版”的售價將會更低,屆時也將刷新業內游戲手機的售價底線。
目前,Redmi K40游戲增強版共有五個版本,其中最低配的6+128GB版售價1999元,而“K40輕奢版”有望將游戲手機售價拉低至1500元以內,為中低端用戶帶來優秀的游戲體驗。
以上就是香煙網小編為大家整理收集有關redmik40輕奢版參數曝光的相關信息。以上資料來源于網絡,如需了解更多資訊,請持續關注香煙網,小編將會為大家帶來更多信息。
【redmik40輕奢版參數曝光-紅米k40輕奢版怎么樣】相關推薦文章:
副手Du Dupete是什么雪茄 副手Du Dupete雪茄參數及口感介紹
人民大會堂盛京中支怎么樣 人民大會堂盛京中支口感測評2020
軟紫云煙怎么樣云煙軟紫好抽嗎
云煙天眼中支怎么樣 云煙天眼中支香煙品析2020
好抽的香煙推薦 適合老煙民抽的香煙一覽
古巴雪茄煙特立尼達殖民地雪茄好抽嗎 品位特立尼達雪茄經典
好抽的牡丹香煙推薦 牡丹金細支參數介紹
冬蟲夏草雙中支香煙好抽嗎 冬蟲夏草雙中支香煙口感2020
長白山本色香煙怎么樣 長白山本色香煙好抽嗎
荷花細支香煙怎么樣 鉆石荷花細支香煙好抽嗎
嬌子盛世天嬌好抽嗎 嬌子盛世天嬌香煙口感測評
蘇煙系列香煙推薦 小蘇外觀及特點一覽
泰山錦繡煙茶甜香口感包裝點評2020
軟中華真假鑒別最簡單辦法有哪些?
雙喜五葉神硬紅口感怎樣 雙喜五葉神硬紅包裝口感品鑒