Apache Spark 读取 S3:无法pickle thread.lock 对象 [英] Apache Spark reads for S3: can't pickle thread.lock objects

问题描述

所以我希望我的 Spark 应用程序从 Amazon 的 S3 中读取一些文本.我写了以下简单的脚本:

So I want my Spark App to read some text from Amazon's S3. I Wrote the following simple script:

import boto3
s3_client = boto3.client('s3')
text_keys = ["key1.txt", "key2.txt"]
data = sc.parallelize(text_keys).flatMap(lambda key: s3_client.get_object(Bucket="my_bucket", Key=key)['Body'].read().decode('utf-8'))

当我执行 data.collect 时，我收到以下错误:

When I do data.collect I get the following error:

TypeError: can't pickle thread.lock objects

而且我似乎没有在网上找到任何帮助.也许有人设法解决了上述问题?

and I don't seem to find any help online. Have perhaps someone managed to solve the above?

推荐答案

您的 s3_client 不可序列化.

Your s3_client isn't serialisable.

使用 mapPartitions 代替 flatMap，并在 lambda 主体内初始化 s3_client 以避免开销.那将:

Instead of flatMap use mapPartitions, and initialise s3_client inside the lambda body to avoid overhead. That will:

1. 在每个 worker 上初始化 s3_client
2. 减少初始化开销

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