(至少)有两个不同的用例可以描述为“搜索桶”:

Search for something inside every object stored at the bucket; this assumes a common format for all the objects in that bucket (say, text files), etc etc. For something like this, you're forced to do what Cody Caughlan just answered. The AWS S3 docs has example code showing how to do this with the AWS SDK for Java: Listing Keys Using the AWS SDK for Java (there you'll also find PHP and C# examples). List item Search for something in the object keys contained in that bucket; S3 does have partial support for this, in the form of allowing prefix exact matches + collapsing matches after a delimiter. This is explained in more detail at the AWS S3 Developer Guide. This allows, for example, to implement "folders" through using as object keys something like folder/subfolder/file.txt If you follow this convention, most of the S3 GUIs (such as the AWS Console) will show you a folder view of your bucket.

在S3控制台中按前缀搜索

直接在AWS Console桶视图中。

使用s3-dist-cp复制需要的文件

当您有数千或数百万个文件时，另一种获取所需文件的方法是使用分布式复制将它们复制到另一个位置。您可以在Hadoop作业中的EMR上运行此操作。AWS很酷的一点是，他们提供了自定义S3版本S3 -dist-cp。它允许您在groupBy字段中使用正则表达式对需要的文件进行分组。例如，您可以在EMR的自定义步骤中使用它

[
    {
        "ActionOnFailure": "CONTINUE",
        "Args": [
            "s3-dist-cp",
            "--s3Endpoint=s3.amazonaws.com",
            "--src=s3://mybucket/",
            "--dest=s3://mytarget-bucket/",
            "--groupBy=MY_PATTERN",
            "--targetSize=1000"
        ],
        "Jar": "command-runner.jar",
        "Name": "S3DistCp Step Aggregate Results",
        "Type": "CUSTOM_JAR"
    }
]

这是一个有点旧的话题——但也许可以帮助那些仍然在搜索的人——我就是那个搜索了一年的人。

解决方案可能是“AWS Athena”，您可以像这样搜索数据

'SELECT user_name FROM S3Object WHERE cast(age as int) > 20'

https://aws.amazon.com/blogs/developer/introducing-support-for-amazon-s3-select-in-the-aws-sdk-for-javascript/

目前1TB数据的价格是5美元——所以举例来说，如果你的查询搜索超过一个1TB文件的3倍你的成本是15美元——但举例来说，如果你想要读取的只有1列“转换柱状格式”，你将支付价格的1/3，即1.67美元/TB。

我尝试了以下方法

aws s3 ls s3://Bucket1/folder1/2019/ --recursive |grep filename.csv

这将输出文件存在的实际路径

2019-04-05 01:18:35     111111 folder1/2019/03/20/filename.csv

有多种选择，没有一个是简单的“一次性”全文解决方案:

Key name pattern search: Searching for keys starting with some string- if you design key names carefully, then you may have rather quick solution. Search metadata attached to keys: when posting a file to AWS S3, you may process the content, extract some meta information and attach this meta information in form of custom headers into the key. This allows you to fetch key names and headers without need to fetch complete content. The search has to be done sequentialy, there is no "sql like" search option for this. With large files this could save a lot of network traffic and time. Store metadata on SimpleDB: as previous point, but with storing the metadata on SimpleDB. Here you have sql like select statements. In case of large data sets you may hit SimpleDB limits, which can be overcome (partition metadata across multiple SimpleDB domains), but if you go really far, you may need to use another metedata type of database. Sequential full text search of the content - processing all the keys one by one. Very slow, if you have too many keys to process.

几年来，我们每天存储1440个版本的文件(每分钟一个)，使用版本化桶，这是很容易实现的。但要获得一些较旧的版本需要时间，因为人们必须一个版本一个版本地按顺序进行。有时我使用简单的CSV记录索引，显示发布时间和版本id，有了这个，我可以很快跳转到旧版本。

正如你所看到的，AWS S3并不是为全文搜索而设计的，它是一个简单的存储服务。

下面是一个使用AWS CLI搜索文件名的简短而丑陋的方法:

aws s3 ls s3://your-bucket --recursive | grep your-search | cut -c 32-