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我有許多(500+)JSON文件,我正在使用USQL在ADLA中處理,我做的第一件事是從每個提取數據中使用Microsoft.Analytics.Samples.Formats.Json JsonExtractor。大多數(80%?)的文件都很好,包括最大的文件,但有些文件卻失敗了,我不知道爲什麼。下面是失敗的代碼的一個小例子:什麼導致USQL中的JSON反序列化達到字符串限制?
REFERENCE ASSEMBLY [Newtonsoft.Json];
REFERENCE ASSEMBLY [Microsoft.Analytics.Samples.Formats];
DECLARE @input string="adl://abc.azuredatalakestore.net/data/whatever.json";
DECLARE @out string="adl://out.csv";
USING Microsoft.Analytics.Samples.Formats.Json;
@data =
EXTRACT SourceUrl string,
Title string,
Guest string,
PublishDate DateTime,
TranscriptionSections string,
Categories string,
filename string
FROM @input
USING new JsonExtractor();
OUTPUT @data
TO @out
USING Outputters.Tsv(outputHeader : true);
下面是從Azure中的錯誤:
**Inner Error:**
ERROR
E_RUNTIME_USER_STRINGTOOBIG
MESSAGE
String size 132991 exceeds the maximum allowed size of 131072.
**Outer Error:**
DESCRIPTION
Vertex failure triggered quick job abort. Vertex failed: SV1_Extract_Partition[0] with error: Vertex user code error.
RESOLUTION
DETAILS
Vertex SV1_Extract_Partition[0].v1 {8F874C31-C803-4C9A-9C3F-B594A62D7EAC} failed
Error:
Vertex user code error
exitcode=CsExitCode_StillActive Errorsnippet=
ERROR
VertexFailedFast
MESSAGE
Vertex failed with a fail-fast error
以下是我正在使用的文件的例子:
{
"SourceUrl":"http://www.unittest.org/test.html",
"Title":"Unit Test File",
"Guest":"Unit Test Guest",
"PublishDate":"2017-05-15T00:00:00",
"TranscriptionSections":[
{
"SectionStartTime":"00:00:03",
"Sentences":[
{
"Text":"Intro."
},
{
"Text":"Sentence one"
},
{
"Text":"Sentence two"
}
]
},
{
"SectionStartTime":"00:04:46",
"Sentences":[
{
"Text":"Sentence three"
},
{
"Text":"Sentence four"
}
]
}
],
"Categories":null
}
我後首先執行此操作,然後運行另一個USQL語句將TranscriptionSections字符串反序列化爲更多行。也許這就是錯誤,並且有一種方法可以在一個語句中完全壓扁JSON文件