我在node.js
事件中触发lambda
S3
。 Elastic Transcoder
作业的启动方式如下:
let AWS = require('aws-sdk');
let s3 = new AWS.S3({apiVersion: '2012–09–25'});
let eltr = new AWS.ElasticTranscoder({apiVersion: '2012–09–25', region: 'us-west-2'});
exports.handler = (event, context, callback) => {
let pipelineId = 'keystone';
let bucket = event.Records[0].s3.bucket.name;
let key = event.Records[0].s3.object.key;
let etParams = {
PipelineId: pipelineId,
Input: {
Key: key,
FrameRate: 'auto',
Resolution: 'auto',
AspectRatio: 'auto',
Interlaced: 'auto',
Container: 'auto'
},
Outputs: [{
Key: key,
PresetId: '1351620000001-000010'
}]
};
eltr.createJob(etParams, function(err, data) {
if (err) {
console.log("ET error", err, err.stack);
} else {
console.log("Calling waitFor for Job Id:", data.Job.Id);
eltr.waitFor("jobComplete", {Id: data.Job.Id}, function(err, data) {
if (err) {
console.log("ET waitFor Error", err, err.stack);
} else {
console.log("ET Job finished", data, data.Job.Output.Key);
}
});
}
});
};
transcoding
进程times out
:
START RequestId: 82c0a1ce-5cf3-11e7-81aa-a3362402de83 Version: $LATEST
2017-06-29T17:51:03.509Z 82c0a1ce-5cf3-11e7-81aa-a3362402de83 Creating Job { PipelineId: 'keystone',
Input:
{ Key: 'f04d62af47.mp4',
FrameRate: 'auto',
Resolution: 'auto',
AspectRatio: 'auto',
Interlaced: 'auto',
Container: 'auto' },
Outputs:
[ { Key: 'f04d62af47.mp4',
PresetId: '1351620000001-000010' } ] }
2017-06-29T17:51:04.829Z 82c0a1ce-5cf3-11e7-81aa-a3362402de83 Calling waitFor for Job Id: 1498758664450-jxhdlx
END RequestId: 82c0a1ce-5cf3-11e7-81aa-a3362402de83
REPORT RequestId: 82c0a1ce-5cf3-11e7-81aa-a3362402de83 Duration: 3001.65 ms Billed Duration: 3000 ms Memory Size: 128 MB Max Memory Used: 37 MB
2017-06-29T17:51:06.260Z 82c0a1ce-5cf3-11e7-81aa-a3362402de83 Task timed out after 3.00 seconds
上述日志输出重复3次(lambda的三次尝试?)
我确定我错过了什么,有人可以指出错误吗?
答案 0 :(得分:1)
对AWS Lambda的所有调用必须在300秒内完成执行。默认超时为3秒,但您可以将超时设置为1到300秒之间的任何值。
在你的两次重试猜想中,你是对的。如果AWS Lambda无法完全处理异步事件,那么它将自动重试调用两次,重试之间会有延迟。