{"error":{"root_cause":[{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@74db251b 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 = 63.2ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@5e356bcd[Running, pool size = 7, active threads = 7, queued tasks = 1000, completed tasks = 1081363732]]"}],"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@74db251b 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 = 63.2ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@5e356bcd[Running, pool size = 7, active threads = 7, queued tasks = 1000, completed tasks = 1081363732]]"}}],"caused_by":{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@74db251b 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 = 63.2ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@5e356bcd[Running, pool size = 7, active threads = 7, queued tasks = 1000, completed tasks = 1081363732]]","caused_by":{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@74db251b 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 = 63.2ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@5e356bcd[Running, pool size = 7, active threads = 7, queued tasks = 1000, completed tasks = 1081363732]]"}}},"status":429}{"error":{"root_cause":[{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@350bbadb on QueueResizingEsThreadPoolExecutor[name = css-xiangyan_12580-ess-esn-1-1/search, queue capacity = 1000, min queue capacity = 1000, max queue capacity = 1000, frame size = 2000, targeted response rate = 1s, task execution EWMA = 21.7ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@605a4469[Running, pool size = 7, active threads = 7, queued tasks = 4949, completed tasks = 1385473085]]"}],"type":"search_phase_execution_exception","reason":"all shards failed","phase":"query","grouped":true,"failed_shards":[{"shard":0,"index":"cnxiangyan_article","node":"cQC-xK2rSbyXajiVkW_9lQ","reason":{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@350bbadb on QueueResizingEsThreadPoolExecutor[name = css-xiangyan_12580-ess-esn-1-1/search, queue capacity = 1000, min queue capacity = 1000, max queue capacity = 1000, frame size = 2000, targeted response rate = 1s, task execution EWMA = 21.7ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@605a4469[Running, pool size = 7, active threads = 7, queued tasks = 4949, completed tasks = 1385473085]]"}}],"caused_by":{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@350bbadb on QueueResizingEsThreadPoolExecutor[name = css-xiangyan_12580-ess-esn-1-1/search, queue capacity = 1000, min queue capacity = 1000, max queue capacity = 1000, frame size = 2000, targeted response rate = 1s, task execution EWMA = 21.7ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@605a4469[Running, pool size = 7, active threads = 7, queued tasks = 4949, completed tasks = 1385473085]]","caused_by":{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@350bbadb on QueueResizingEsThreadPoolExecutor[name = css-xiangyan_12580-ess-esn-1-1/search, queue capacity = 1000, min queue capacity = 1000, max queue capacity = 1000, frame size = 2000, targeted response rate = 1s, task execution EWMA = 21.7ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@605a4469[Running, pool size = 7, active threads = 7, queued tasks = 4949, completed tasks = 1385473085]]"}}},"status":429}
華為Mate40標準版和vivox60哪款手機更好?華為Mate40標準版和vivox60兩款手機預計都將在本月末進行發售,那么這兩款手機哪款手機性能更好呢?哪款更值得入手呢?下面香煙網小編將對華為Mate40標準版和vivox60參數配置進行對比,一起來看看吧!

華為Mate40標準版:
采用了6.5英寸的OLED屏幕,90Hz屏幕刷新。
vivox60:
為用戶提供了6.67英寸AMOLED屏幕,屏幕刷新率也達90Hz。
總結:兩款手機的屏幕大小相差不是很大,但是從屏幕材質來看AMOLED屏幕相比,OLED屏幕較好。
華為Mate40標準版:
搭載了麒麟9000E芯片,領先的5nm制程工藝,八核CPU,性能跨越式升級,功耗大幅降低,讓你體驗震撼的超前速度;
vivox60:
搭載三星的1080的處理器,最新 5nm 制程工藝,相較 7nm 工藝制程晶體管數量密度上增加超過 80%,這個處理器為帶來最優的手機性能;
總結:性能方面是三星Exynos1080處理器更好,能夠為用戶帶來更高的頻率。

華為Mate40標準版:
前置采用了1300萬像素,后置三攝5000萬超感光主攝+1600萬超廣角+800萬長焦三攝,支持固定對焦和光學防抖。
vivox60:
前置3200萬像素,后置6400萬主攝+1600萬人像+1300萬廣角+500萬微距,能夠為用戶帶來更多的拍照模式。
總結:vivox60的前置和后置都非常的出色,同時還搭載全新的蔡司光學鏡頭,以及微云臺 2.0 技術
華為Mate40標準版:
內置4200mAh電池,支持40W快充。
vivox60:
采用了4200mAh手機電池,支持65W超快充電。
總結:在充電速度上vivox60更勝一籌,能夠為用戶提供更好的續航體驗。
華為Mate40標準版和vivox60都將在本月正式發售,vivox60搭載的三星Exynos1080處理器能夠為用戶帶來更好的實用體驗,攝像方面也將會搭載全新的蔡司光學鏡頭,還是非常不錯的。
通過上面的介紹,相信大家對華為Mate40標準版和vivox60哪款手機更好以及參數配置對比都有了一定了解了,希望對大家在選擇時有所幫助。了解更多實用手機相關咨詢,請關注香煙網。
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