预先感谢您对此的帮助。
我正在尝试运行下面的 awk 命令，但是它不起作用。我之前已经在许多表达式上运行过确切的命令，并且效果很好。我什至尝试只使用 5 个表达式来运行，但它仍然不起作用。有任何想法吗？
我想删除包含第 5 列中列出的表达式的所有行。如果我无法让 awk 工作，有什么替代方案，您可以为此提供命令吗？
提前谢谢了。
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8571|NA18572|NA18573|NA18574|NA18577|NA18579|NA18582|NA18591| NA18592|NA18593|NA18595|NA18596|NA18597|NA18599|NA18602|NA18603|NA18605|NA18606|NA18608|NA18609|NA18610|NA18611|NA18612|NA18613|NA18614|NA1 8615|NA18616|NA18617|NA18618|NA18619|NA18620|NA18621|NA18622| NA18623|NA18624|NA18625|NA18626|NA18627|NA18628|NA18629|NA18630|NA18631|NA18632|NA18633|NA18634|NA18635|NA18636|NA18637|NA18638|NA18639|NA1 8640|NA18641|NA18642|NA18643|NA18644|NA18645|NA18646|NA18647| NA18648|NA18740|NA18745|NA18747|NA18748|NA18749|NA18757|NA18853|NA18856|NA18858|NA18861|NA18864|NA18865|NA18867|NA18868|NA18870|NA18871|NA1 8873|NA18874|NA18876|NA18877|NA18878|NA18879|NA18881|NA18907| NA18908|NA18909|NA18910|NA18912|NA18915|NA18916|NA18917|NA18923|NA18924|NA18933|NA18934|NA18939|NA18940|NA18941|NA18942|NA18943|NA18944|NA1894 5|NA18946|NA18947|NA18948|NA18949|NA18950|NA18951|NA18952| NA18953|NA18954|NA18956|NA18957|NA18959|NA18960|NA18961|NA18962|NA18963|NA18964|NA18965|NA18966|NA18967|NA18968|NA18969|NA18970|NA18971|NA1 8972|NA18973|NA18974|NA18975|NA18976|NA18977|NA18978|NA18979| NA18980|NA18981|NA18982|NA18983|NA18984|NA18985|NA18986|NA18987|NA18988|NA18989|NA18990|NA18991|NA18992|NA18993|NA18994|NA18995|NA18997|NA1 8998|NA18999|NA19000|NA19001|NA19002|NA19003|NA19004|NA19005| NA19006|NA19007|NA19009|NA19010|NA19011|NA19012|NA19017|NA19019|NA19020|NA19023|NA19024|NA19025|NA19026|NA19027|NA19028|NA19030|NA19031|NA1 9035|NA19036|NA19037|NA19038|NA19041|NA19042|NA19043|NA19054| NA19055|NA19056|NA19057|NA19058|NA19059|NA19060|NA19062|NA19063|NA19064|NA19065|NA19066|NA19067|NA19068|NA19070|NA19072|NA19074|NA19075|NA1 9076|NA19077|NA19078|NA19079|NA19080|NA19081|NA19082|NA19083| NA19084|NA19085|NA19086|NA19087|NA19088|NA19089|NA19090|NA19091|NA19092|NA19093|NA19095|NA19096|NA19098|NA19099|NA19102|NA19107|NA19108|NA1 9113|NA19114|NA19116|NA19117|NA19118|NA19119|NA19121|NA19129| NA19130|NA19131|NA19137|NA19138|NA19141|NA19143|NA19144|NA19146|NA19147|NA19149|NA19152|NA19153|NA19159|NA19160|NA19171|NA19172|NA19175|NA1 9184|NA19185|NA19189|NA19190|NA19197|NA19198|NA19200|NA19201| NA19204|NA19206|NA19207|NA19209|NA19210|NA19213|NA19214|NA19222|NA19223|NA19225|NA19235|NA19236|NA19238|NA19239|NA19247|NA19248|NA19256|NA1 9257|NA19307|NA19308|NA19309|NA19310|NA19312|NA19314|NA19315| NA19316|NA19317|NA19318|NA19319|NA19320|NA19321|NA19323|NA19324|NA19327|NA19328|NA19331|NA19332|NA19334|NA19338|NA19346|NA19347|NA19350|NA1 9351|NA19355|NA19360|NA19372|NA19374|NA19375|NA19376|NA19377| NA19378|NA19379|NA19380|NA19383|NA19384|NA19385|NA19390|NA19391|NA19393|NA19394|NA19395|NA19397|NA19399|NA19401|NA19403|NA19404|NA19428|NA1 9429|NA19430|NA19431|NA19434|NA19435|NA19436|NA19437|NA19438| NA19439|NA19440|NA19443|NA19445|NA19446|NA19448|NA19449|NA19451|NA19452|NA19454|NA19455|NA19456|NA19457|NA19461|NA19462|NA19463|NA19466|NA1 9467|NA19468|NA19471|NA19472|NA19473|NA19474|NA19475|NA19625| NA19648|NA19649|NA19651|NA19652|NA19654|NA19655|NA19657|NA19658|NA19661|NA19663|NA19664|NA19669|NA19670|NA19676|NA19678|NA19679|NA19681|NA1 9682|NA19684|NA19700|NA19701|NA19703|NA19704|NA19707|NA19711| NA19712|NA19713|NA19716|NA19717|NA19719|NA19720|NA19722|NA19723|NA19725|NA19726|NA19728|NA19729|NA19731|NA19732|NA19734|NA19735|NA19740|NA1 9741|NA19746|NA19747|NA19749|NA19750|NA19752|NA19755|NA19756| NA19758|NA19759|NA19761|NA19762|NA19764|NA19770|NA19771|NA19773|NA19774|NA19776|NA19777|NA19779|NA19780|NA19782|NA19783|NA19785|NA19786|NA1 9788|NA19789|NA19792|NA19794|NA19795|NA19818|NA19819|NA19834| NA19835|NA19900|NA19901|NA19904|NA19908|NA19909|NA19913|NA19914|NA19916|NA19917|NA19920|NA19921|NA19922|NA19923|NA19982|NA19984|NA20126|NA2 0127|NA20274|NA20276|NA20278|NA20281|NA20282|NA20287|NA20289| NA20291|NA20294|NA20296|NA20298|NA20299|NA20314|NA20317|NA20318|NA20320|NA20321|NA20332|NA20334|NA20339|NA20340|NA20342|NA20346|NA20348|NA2035 1|NA20355|NA20356|NA20357|NA20359|NA20362|NA20412|NA20845| NA20846|NA20847|NA20849|NA20850|NA20851|NA20852|NA20853|NA20854|NA20856|NA20858|NA20859|NA20861|NA20862|NA20863|NA20864|NA20866|NA20867|NA2 0868|NA20869|NA20870|NA20872|NA20874|NA20875|NA20876|NA20877| NA20878|NA20881|NA20882|NA20884|NA20885|NA20886|NA20887|NA20888|NA20889|NA20890|NA20891|NA20892|NA20894|NA20895|NA20896|NA20897|NA20899|NA2 0900|NA20901|NA20902|NA20903|NA20904|NA20905|NA20906|NA20908| NA20910|NA20911|NA21086|NA21087|NA21088|NA21089|NA21090|NA21091|NA21092|NA21093|NA21094|NA21095|NA21097|NA21098|NA21099|NA21100|NA21101|NA2 1102|NA21103|NA21104|NA21105|NA21106|NA21107|NA21108|NA21109| NA21110|NA21111|NA21112|NA21113|NA21114|NA21115|NA21116|NA21117|NA21118|NA21119|NA21120|NA21122|NA21123|NA21124|NA21125|NA21126|NA21127|NA2 1128|NA21129|NA21130|NA21133|NA21135|NA21137|NA21141|NA21142| NA21143|NA21144)$/' All_Combined_Individual_Data_RD23022018.txt > Caucasian_Individual_Data_RD26022018.txt
答案1
说真的，这个正则表达式很荒谬。
相反，将字符串（每行一个）写入一个简单的文本文件并使用
grep -v -w -F -f patternfile inputfile >outputfile
这将仅输出inputfile不包含 中列出的字符串的行patternfile。该-F标志将导致grep将字符串视为字符串而不是正则表达式（这也可能使其使用更少的内存）。该-w标志向您保证您将匹配整个单词而不是单词的子字符串（即NA21130仅匹配NA21130而不匹配GNA21130or NA211301）。
如果您想专门查找第 5 列中的字符串：
awk 'NR == FNR { pattern[$0] = 1; next } !pattern[$5]' patternfile inputfile >outputfile
这将首先将字符串读取patternfile到一个数组中，并由字符串索引。然后它将读取inputfile并测试第 5 列中的值是否是数组中的索引。如果不是，则线路将通过。
另请注意，在 POSIX 系统上，命令行和当前环境（所有环境变量及其值）允许的最大组合长度保证至少为 4 KB。在大多数系统上，它比这更多或更多，但是Argument list too long当您尝试执行问题中的 16 KB 命令行之类的命令时，您应该准备好收到错误消息。
答案2
我用 grep 解决了这个问题：
grep –v –E '(HG00403|HG00404|HG00406|...(16 KB 术语)...|NA21142|NA21143|NA21144)' < All_Combined_Individual_Data_RD23022018.txt > Caucasian_Individual_Data_RD26022018.txt