blocks|key|293976|text|您可以尝试将此采样线一次全部删除。请记住，这是极具破坏性的，所以我希望您知道自己在做什么：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|293977|for+bucket+in+$(aws+s3+ls+%7C+awk+'{print+$3}'+%7C+grep+my-bucket-pattern);+do++aws+s3+rb+"s3://${bucket}"+--force+;+done|code-block|syntax|javascript|293978|你已经做完了。可能需要一段时间，这取决于存储桶的数量及其内容。|293979|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|L|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|M|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

You could try this sample line to delete all at once. Remember that this is highly destructive, so I hope you know what you are doing:

<pre><code>for bucket in $(aws s3 ls | awk '{print $3}' | grep my-bucket-pattern); do aws s3 rb "s3://${bucket}" --force ; done
</code></pre>

You are done with that. May take a while depending on the amount of buckets and their content.

blocks|key|295407|text|这是我做的|type|unstyled|depth|inlineStyleRanges|entityRanges|data|295408|aws+s3api+list-buckets+\
+++--query+'Buckets[?starts_with(Name,+`bucket-pattern+`)+==+`true`].[Name]'+\
+++--output+text+%7C+xargs+-I+{}+aws+s3+rb+s3://{}+--force|code-block|syntax|javascript|295409|然后根据需要更新存储桶模式。|295410|不过要小心，这是一个相当危险的操作。|295411|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|N|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|P|8|@]|9|@]|A|$]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

I did this

<pre><code>aws s3api list-buckets \
 --query 'Buckets[?starts_with(Name, `bucket-pattern `) == `true`].[Name]' \
 --output text | xargs -I {} aws s3 rb s3://{} --force
</code></pre>

Then update the bucket pattern as needed. 

Be careful though, this is a pretty dangerous operation.

blocks|key|2201928|text|批量删除S3存储桶最简单的方法是根本不编写任何代码。我使用Cyberduck浏览我的S3帐户，并很容易地删除存储桶及其内容。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2201929|entityMap|0|LINK|mutability|MUTABLE|url|https://cyberduck.io/^0|T|9|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

The absolute easiest way to bulk delete S3 buckets is to not write any code at all. I use <a href="https://cyberduck.io" rel="noreferrer">Cyberduck</a> to browse my S3 account and delete buckets and their contents quite easily.

blocks|key|293960|text|使用boto3不能删除包含对象的存储桶，因此在删除存储桶之前需要先删除对象。最简单的解决方案是一个简单的Python脚本，例如：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|293961|import+boto3
import+botocore
import+json

s3_client+=+boto3.client(
++++"s3",
++++aws_access_key_id="<your+key+id>",
++++aws_secret_access_key="<your+secret+access+key>"
)

response+=+s3_client.list_buckets()
for+bucket+in+response["Buckets"]:
++++#+Only+removes+the+buckets+with+the+name+you+want.
++++if+"bucket-to-remove"+in+bucket["Name"]:
++++++++s3_objects+=+s3_client.list_objects_v2(Bucket=bucket["Name"])
++++++++#+Deletes+the+objects+in+the+bucket+before+deleting+the+bucket.
++++++++if+"Contents"+in+s3_objects:
++++++++++++for+s3_obj+in+s3_objects["Contents"]:
++++++++++++++++rm_obj+=+s3_client.delete_object(
++++++++++++++++++++Bucket=bucket["Name"],+Key=s3_obj["Key"])
++++++++++++++++print(rm_obj)
++++++++rm_bucket+=+s3_client.delete_bucket(Bucket=bucket["Name"])
++++++++print(rm_bucket)|code-block|syntax|javascript|293962|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

Using boto3 you cannot delete buckets that have objects in it thus you first need to remove the objects before deleting the bucket. The easiest solution is a simple Python script such as:

<pre><code>import boto3
import botocore
import json

s3_client = boto3.client(
 "s3",
 aws_access_key_id="&lt;your key id&gt;",
 aws_secret_access_key="&lt;your secret access key&gt;"
)

response = s3_client.list_buckets()
for bucket in response["Buckets"]:
 # Only removes the buckets with the name you want.
 if "bucket-to-remove" in bucket["Name"]:
 s3_objects = s3_client.list_objects_v2(Bucket=bucket["Name"])
 # Deletes the objects in the bucket before deleting the bucket.
 if "Contents" in s3_objects:
 for s3_obj in s3_objects["Contents"]:
 rm_obj = s3_client.delete_object(
 Bucket=bucket["Name"], Key=s3_obj["Key"])
 print(rm_obj)
 rm_bucket = s3_client.delete_bucket(Bucket=bucket["Name"])
 print(rm_bucket)
</code></pre>

blocks|key|2208411|text|这是一个windows解决方案。|type|unstyled|depth|inlineStyleRanges|offset|length|style|BOLD|entityRanges|data|2208412|请先测试过滤器，然后再删除|2208413|aws+s3+ls+%5E%7C+findstr+"<search+here>"|code-block|syntax|javascript|2208414|然后执行|2208415|for+/f+"tokens=3"+%25a+in+('<copy+the+correct+command+between+the+quotes>')+do+aws+s3+rb+s3://%25a+--force|2208416|entityMap^0|4|B|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@$9|T|A|U|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|V|8|@]|D|@]|E|$]]|$1|H|3|I|5|J|7|W|8|@]|D|@]|E|$K|L]]|$1|M|3|N|5|6|7|X|8|@]|D|@]|E|$]]|$1|O|3|P|5|J|7|Y|8|@]|D|@]|E|$K|L]]|$1|Q|3|-4|5|6|7|Z|8|@]|D|@]|E|$]]]|R|$]]

Here is a windows solution.
First test the filter before you delete
<pre><code>aws s3 ls ^| findstr &quot;&lt;search here&gt;&quot;
</code></pre>
and then execute
<pre><code>for /f &quot;tokens=3&quot; %a in ('&lt;copy the correct command between the quotes&gt;') do aws s3 rb s3://%a --force
</code></pre>

blocks|key|3175020|text|根据S3+docs，只有当存储桶未启用版本控制时，才能使用命令行界面命令aws+s3+rb删除该存储桶。如果是这种情况，您可以编写一个简单的bash脚本来获取存储桶名称并逐个删除它们，如下所示：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3175021|#!/bin/bash

#+get+buckets+list+=>+returns+the+timestamp+%2B+bucket+name+separated+by+lines
S3LS="$(aws+s3+ls+%7C+grep+'bucket-name-pattern')"+

#+split+the+lines+into+an+array.+@see+https://stackoverflow.com/a/13196466/6569593
oldIFS="$IFS"
IFS='
'
IFS=${IFS:0:1}
lines=(+$S3LS+)
IFS="$oldIFS"

for+line+in+"${lines[@]}"
++++do
++++++++BUCKET_NAME=${line:20:${#line}}+#+remove+timestamp
++++++++aws+s3+rb+"s3://${BUCKET_NAME}"+--force
done|code-block|syntax|javascript|3175022|注意不要移除重要的存储桶！我建议在实际删除它们之前输出每个存储桶名称。还要注意，aws+s3+rb命令需要一段时间才能运行，因为它会递归地删除存储桶中的所有对象。|3175023|entityMap|0|LINK|mutability|MUTABLE|url|http://docs.aws.amazon.com/AmazonS3/latest/dev/delete-or-empty-bucket.html^0|10|9|2|7|0|0|0|14|9|0^^$0|@$1|2|3|4|5|6|7|U|8|@$9|V|A|W|B|C]]|D|@$9|X|A|Y|1|Z]]|E|$]]|$1|F|3|G|5|H|7|10|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|11|8|@$9|12|A|13|B|C]]|D|@]|E|$]]|$1|M|3|-4|5|6|7|14|8|@]|D|@]|E|$]]]|N|$O|$5|P|Q|R|E|$S|T]]]]

According to the <a href="http://docs.aws.amazon.com/AmazonS3/latest/dev/delete-or-empty-bucket.html" rel="nofollow noreferrer">S3 docs</a> you can remove a bucket using the CLI command <code>aws s3 rb</code> only if the bucket does not have versioning enabled. If that's the case you can write a simple bash script to get the bucket names and delete them one by one, like:

<pre class="lang-sh prettyprint-override"><code>#!/bin/bash

# get buckets list =&gt; returns the timestamp + bucket name separated by lines
S3LS="$(aws s3 ls | grep 'bucket-name-pattern')" 

# split the lines into an array. @see https://stackoverflow.com/a/13196466/6569593
oldIFS="$IFS"
IFS='
'
IFS=${IFS:0:1}
lines=( $S3LS )
IFS="$oldIFS"

for line in "${lines[@]}"
 do
 BUCKET_NAME=${line:20:${#line}} # remove timestamp
 aws s3 rb "s3://${BUCKET_NAME}" --force
done
</code></pre>

Be careful to don't remove important buckets! I recommend to output each bucket name before actually remove them. Also be aware that the <code>aws s3 rb</code> command takes a while to run, because it recursively deletes all the objects inside the bucket.

blocks|key|3175139|text|要删除您帐户中的所有s3存储桶，请使用下面的技巧，它在使用本地时效果很好|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3175140|步骤1+:-使用以下命令导出您的配置文件，或者您也可以在本地导出access_key和secrete_access_key|3175141|+export+AWS_PROFILE=<Your-Profile-Name>++|code-block|syntax|javascript|3175142|步骤2:-使用下面的python代码，在本地运行它，并看到您的所有s3存储桶将被删除。|3175143|import+boto3

client+=+boto3.client('s3',+Region='us-east-2')
response+=+client.list_buckets()
for+bucket+in+response['Buckets']:
++++s3+=+boto3.resource('s3')
++++s3_bucket+=+s3.Bucket(bucket['Name'])
++++bucket_versioning+=+s3.BucketVersioning(bucket['Name'])
++++if+bucket_versioning.status+==+'Enabled':
++++++++s3_bucket.object_versions.delete()
++++else:
++++++++s3_bucket.objects.all().delete()
++++response+=+client.delete_bucket(Bucket=bucket['Name'])|3175144|如果您看到像boto3+not+found这样的错误，请转到链接并安装它Install+boto3+using+pip|offset|length|3175145|entityMap|0|LINK|mutability|MUTABLE|url|https://pypi.org/project/boto3/^0|0|0|0|0|0|10|N|0|0^^$0|@$1|2|3|4|5|6|7|Y|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Z|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|10|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|11|8|@]|9|@]|A|$]]|$1|K|3|L|5|F|7|12|8|@]|9|@]|A|$G|H]]|$1|M|3|N|5|6|7|13|8|@]|9|@$O|14|P|15|1|16]]|A|$]]|$1|Q|3|-4|5|6|7|17|8|@]|9|@]|A|$]]]|R|$S|$5|T|U|V|A|$W|X]]]]

For deleting all s3 buckets in you account use below technique, It's work very well using local
Step 1 :- export your profile using below command Or you can export access_key and secrete_access_key locally as well
<pre><code> export AWS_PROFILE=&lt;Your-Profile-Name&gt; 
</code></pre>
Step 2:- Use below python code, Run it on local and see your all s3 buckets will delete.
<pre><code>import boto3

client = boto3.client('s3', Region='us-east-2')
response = client.list_buckets()
for bucket in response['Buckets']:
 s3 = boto3.resource('s3')
 s3_bucket = s3.Bucket(bucket['Name'])
 bucket_versioning = s3.BucketVersioning(bucket['Name'])
 if bucket_versioning.status == 'Enabled':
 s3_bucket.object_versions.delete()
 else:
 s3_bucket.objects.all().delete()
 response = client.delete_bucket(Bucket=bucket['Name'])
</code></pre>
If you see error like boto3 not found please go to link and install it
<a href="https://pypi.org/project/boto3/" rel="nofollow noreferrer">Install boto3 using pip</a>

blocks|key|3175190|text|据我所知，最好的选择是使用Cyberduck。您可以从GUI中选择所有存储桶并将其删除。我提供了一个如何做的屏幕截图。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3175191|​|3175192|📷|atomic|offset|length|3175193|3175194|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/48d105da0fb09d4c14778c975a66df5e.png|imageAlt^0|0|0|0|1|0|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|T|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|U|8|@]|9|@$G|V|H|W|1|X]]|A|$]]|$1|I|3|C|5|6|7|Y|8|@]|9|@]|A|$]]|$1|J|3|-4|5|6|7|Z|8|@]|9|@]|A|$]]]|K|$L|$5|M|N|O|A|$P|Q|R|-4]]]]

The best option that I find is to use the Cyberduck. You can select all the buckets from the GUI and delete them. I provide a screenshot for how to do it.
<a href="https://i.stack.imgur.com/A6BiP.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/A6BiP.png" alt="enter image description here" /></a>

blocks|key|5286420|text|如果你使用的是PowerShell，这将会起作用：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5286421|Foreach($x+in+(aws+s3api+list-buckets+--query+
'Buckets[?starts_with(Name,+`name-pattern`)+==+
`true`].[Name]'++--output+text)+
{aws+s3+rb+s3://$x+--force}|code-block|syntax|javascript|5286422|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

if you're using PowerShell, this will work:
<pre><code>Foreach($x in (aws s3api list-buckets --query 
'Buckets[?starts_with(Name, `name-pattern`) == 
`true`].[Name]' --output text) 
{aws s3 rb s3://$x --force}
</code></pre>

blocks|key|2208493|text|我已经使用lambda来删除具有指定前缀的存储桶。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2208494|无论是否启用版本控制，它都将删除所有对象。|2208495|请注意：您应该为您的lambda提供适当的S3访问权限。|offset|length|style|BOLD|2208496|import+boto3

s3_client+=+boto3.client('s3')
s3+=+boto3.resource('s3')
def+lambda_handler(event,+context):
++++bucket_prefix+=+"your+prefix"
++++response+=+s3_client.list_buckets()
++++for+bucket+in+response["Buckets"]:
++++++++#+Only+removes+the+buckets+with+the+name+you+want.
++++++++if+bucket_prefix+in+bucket["Name"]:
++++++++++++s3_bucket+=+s3.Bucket(bucket['Name'])
++++++++++++bucket_versioning+=+s3.BucketVersioning(bucket['Name'])
++++++++++++if+bucket_versioning.status+==+'Enabled':
++++++++++++++++s3_bucket.object_versions.delete()
++++++++++++else:
++++++++++++++++s3_bucket.objects.all().delete()
++++++++++++response+=+s3_client.delete_bucket(Bucket=bucket['Name'])
++++return+{+
++++++++'message'+:+f"delete+buckets+with+prefix+{bucket_prefix}+was+successfull"
++++}|code-block|syntax|javascript|2208497|entityMap^0|0|0|0|4|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|R|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|S|8|@$F|T|G|U|H|I]]|9|@]|A|$]]|$1|J|3|K|5|L|7|V|8|@]|9|@]|A|$M|N]]|$1|O|3|-4|5|6|7|W|8|@]|9|@]|A|$]]]|P|$]]

I have used lambda for deleting buckets with the specified prefix.
It will delete all the objects regardless versioning is enabled or not.
Note that: You should give appropriate S3 access to your lambda.
<pre><code>import boto3

s3_client = boto3.client('s3')
s3 = boto3.resource('s3')
def lambda_handler(event, context):
 bucket_prefix = &quot;your prefix&quot;
 response = s3_client.list_buckets()
 for bucket in response[&quot;Buckets&quot;]:
 # Only removes the buckets with the name you want.
 if bucket_prefix in bucket[&quot;Name&quot;]:
 s3_bucket = s3.Bucket(bucket['Name'])
 bucket_versioning = s3.BucketVersioning(bucket['Name'])
 if bucket_versioning.status == 'Enabled':
 s3_bucket.object_versions.delete()
 else:
 s3_bucket.objects.all().delete()
 response = s3_client.delete_bucket(Bucket=bucket['Name'])
 return { 
 'message' : f&quot;delete buckets with prefix {bucket_prefix} was successfull&quot;
 }
</code></pre>

I have a dozen of buckets that I would like to remove in AWS S3, all having a similar name containing <code>bucket-to-remove</code> and with some objects in it.

Using the UI is quite slow, is there a solution to remove all these buckets quickly using the CLI?

How to remove multiple S3 buckets at once?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我有十几个存储桶，我想在亚马逊网络服务的S3中删除，所有具有类似的名称包含bucket-to-remove和其中的一些对象。使用UI相当慢，有没有一种解决方案可以使用CLI快速删除所有这些存储桶？

问如何一次移除多个S3 buckets？
EN

回答 10

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问如何一次移除多个S3 buckets？EN

回答 10

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问如何一次移除多个S3 buckets？
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