{"error":{"root_cause":[{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@785a3eb8 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 = 21.6ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@5e356bcd[Running, pool size = 7, active threads = 7, queued tasks = 1000, completed tasks = 1063845006]]"}],"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@785a3eb8 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 = 21.6ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@5e356bcd[Running, pool size = 7, active threads = 7, queued tasks = 1000, completed tasks = 1063845006]]"}}],"caused_by":{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@785a3eb8 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 = 21.6ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@5e356bcd[Running, pool size = 7, active threads = 7, queued tasks = 1000, completed tasks = 1063845006]]","caused_by":{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@785a3eb8 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 = 21.6ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@5e356bcd[Running, pool size = 7, active threads = 7, queued tasks = 1000, completed tasks = 1063845006]]"}}},"status":429}{"error":{"root_cause":[{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@5c23fcee 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 = 8.4ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@605a4469[Running, pool size = 7, active threads = 7, queued tasks = 1389, completed tasks = 1362602454]]"}],"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@5c23fcee 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 = 8.4ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@605a4469[Running, pool size = 7, active threads = 7, queued tasks = 1389, completed tasks = 1362602454]]"}}],"caused_by":{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@5c23fcee 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 = 8.4ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@605a4469[Running, pool size = 7, active threads = 7, queued tasks = 1389, completed tasks = 1362602454]]","caused_by":{"type":"es_rejected_execution_exception","reason":"rejected execution of org.elasticsearch.common.util.concurrent.TimedRunnable@5c23fcee 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 = 8.4ms, adjustment amount = 50, org.elasticsearch.common.util.concurrent.QueueResizingEsThreadPoolExecutor@605a4469[Running, pool size = 7, active threads = 7, queued tasks = 1389, completed tasks = 1362602454]]"}}},"status":429}
“抽煙只抽炫赫門”,煙阻略大,但煙氣醇厚,口有余香,包裝簡樸卻不落俗,煙嘴藍(lán)色與眾不同。細(xì)煙中煊赫門是首選,那么我們該如何辨別真假呢?

南京(炫赫門)又稱南京(細(xì)支)。該產(chǎn)品在國內(nèi)首次應(yīng)用奧地利新型接裝紙,通過味0++覺行為作用提高卷煙的吸食效果,并選用天然本草香精香料襯托煙草本香,充分發(fā)揮香精香料配方技術(shù)在卷煙中的應(yīng)用,在強(qiáng)化風(fēng)格的同時改善吸味和口感。

真品商標(biāo)紙“紅龍”區(qū)域?yàn)閬喒馓幚恚庋塾^察為暗紅色。假冒卷煙為亮光處理,觀察為亮紅色。同時,真煙龍身周圍的金絲套印準(zhǔn)確,假冒卷煙經(jīng)常出現(xiàn)套印偏離,沒有將紅色龍身全部套進(jìn)去,部分紅色在金色以外。

真品卷煙商標(biāo)紙采用膠印印刷,假冒卷煙多為凹版印刷。真品卷煙字體飽滿,且字體邊緣光滑,假冒卷煙字體偏細(xì),不飽滿,字體邊緣為毛刺狀。

真品卷煙采用機(jī)器矩形烙鐵燙封一次成型,在底面形成明顯的矩形烙痕,封口較平整,假冒卷煙一般采用手工電烙鐵燙封,封口起皺較大,沒有矩形烙痕。真品卷煙“紅龍”處同樣為暗紅色,金絲套印準(zhǔn)確,“NANJING”字體飽滿。
以上便是香煙網(wǎng)小編給大家?guī)淼娜绾伪鎰e真假煊赫門了。消費(fèi)者們在購買香煙的時候一定要擦亮眼睛。希望這篇文章能夠幫到你們。
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