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SelectObjectContent

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您可以使用 S3 SelectObjectContent 请求根据简单的 SQL 语句筛选 S3 对象的内容。

有关详细信息，请参见 "适用于 SelectObjectContent 的 AWS 文档"。

开始之前

  • 此租户帐户具有 S3 Select 权限。

  • 您已拥有 s3:GetObject 要查询的对象的权限。

  • 要查询的对象必须采用以下格式之一：

    • CSX。可以按原样使用、也可以压缩到GZIP或bzip2归档中。

    • 镶木地板。对镶木地板对象的其他要求：

      • S3 Select仅支持使用GZIP或Snappy进行列式压缩。S3 Select不支持对镶木地板对象进行整体对象压缩。

      • S3 Select不支持镶木地板输出。必须将输出格式指定为CSV或JSON。

      • 最大未压缩行组大小为512 MB。

      • 您必须使用对象架构中指定的数据类型。

      • 不能使用间隔、JSON、列表、时间或UUID逻辑类型。

  • SQL 表达式的最大长度为 256 KB 。

  • 输入或结果中的任何记录的最大长度为 1 MiB 。

备注 不支持使用ScanRange。

CSV请求语法示例

POST /{Key+}?select&select-type=2 HTTP/1.1
Host: Bucket.s3.abc-company.com
x-amz-expected-bucket-owner: ExpectedBucketOwner
<?xml version="1.0" encoding="UTF-8"?>
<SelectObjectContentRequest xmlns="http://s3.amazonaws.com/doc/2006-03-01/">
   <Expression>string</Expression>
   <ExpressionType>string</ExpressionType>
   <RequestProgress>
      <Enabled>boolean</Enabled>
   </RequestProgress>
   <InputSerialization>
      <CompressionType>GZIP</CompressionType>
      <CSV>
         <AllowQuotedRecordDelimiter>boolean</AllowQuotedRecordDelimiter>
         <Comments>#</Comments>
         <FieldDelimiter>\t</FieldDelimiter>
         <FileHeaderInfo>USE</FileHeaderInfo>
         <QuoteCharacter>'</QuoteCharacter>
         <QuoteEscapeCharacter>\\</QuoteEscapeCharacter>
         <RecordDelimiter>\n</RecordDelimiter>
      </CSV>
   </InputSerialization>
   <OutputSerialization>
      <CSV>
         <FieldDelimiter>string</FieldDelimiter>
         <QuoteCharacter>string</QuoteCharacter>
         <QuoteEscapeCharacter>string</QuoteEscapeCharacter>
         <QuoteFields>string</QuoteFields>
         <RecordDelimiter>string</RecordDelimiter>
      </CSV>
   </OutputSerialization>
   <ScanRange>
      <End>long</End>
      <Start>long</Start>
   </ScanRange>
</SelectObjectContentRequest>

镶木地板请求语法示例

POST /{Key+}?select&select-type=2 HTTP/1.1
Host: Bucket.s3.abc-company.com
x-amz-expected-bucket-owner: ExpectedBucketOwner
<?xml version="1.0" encoding="UTF-8"?>
<SelectObjectContentRequest xmlns=http://s3.amazonaws.com/doc/2006-03-01/>
   <Expression>string</Expression>
   <ExpressionType>string</ExpressionType>
   <RequestProgress>
      <Enabled>boolean</Enabled>
   </RequestProgress>
   <InputSerialization>
      <CompressionType>GZIP</CompressionType>
      <PARQUET>
      </PARQUET>
   </InputSerialization>
   <OutputSerialization>
      <CSV>
         <FieldDelimiter>string</FieldDelimiter>
         <QuoteCharacter>string</QuoteCharacter>
         <QuoteEscapeCharacter>string</QuoteEscapeCharacter>
         <QuoteFields>string</QuoteFields>
         <RecordDelimiter>string</RecordDelimiter>
      </CSV>
   </OutputSerialization>
   <ScanRange>
      <End>long</End>
      <Start>long</Start>
   </ScanRange>
</SelectObjectContentRequest>

SQL 查询示例

此查询可从美国人口统计数据中获取状态名称， 2010 年人口， 2015 年估计人口以及变更百分比。文件中非状态的记录将被忽略。

SELECT STNAME, CENSUS2010POP, POPESTIMATE2015, CAST((POPESTIMATE2015 - CENSUS2010POP) AS DECIMAL) / CENSUS2010POP * 100.0 FROM S3Object WHERE NAME = STNAME

要查询的文件的前几行、 SUB-EST2020_ALL.csv，如下所示：

SUMLEV,STATE,COUNTY,PLACE,COUSUB,CONCIT,PRIMGEO_FLAG,FUNCSTAT,NAME,STNAME,CENSUS2010POP,
ESTIMATESBASE2010,POPESTIMATE2010,POPESTIMATE2011,POPESTIMATE2012,POPESTIMATE2013,POPESTIMATE2014,
POPESTIMATE2015,POPESTIMATE2016,POPESTIMATE2017,POPESTIMATE2018,POPESTIMATE2019,POPESTIMATE042020,
POPESTIMATE2020
040,01,000,00000,00000,00000,0,A,Alabama,Alabama,4779736,4780118,4785514,4799642,4816632,4831586,
4843737,4854803,4866824,4877989,4891628,4907965,4920706,4921532
162,01,000,00124,00000,00000,0,A,Abbeville city,Alabama,2688,2705,2699,2694,2645,2629,2610,2602,
2587,2578,2565,2555,2555,2553
162,01,000,00460,00000,00000,0,A,Adamsville city,Alabama,4522,4487,4481,4474,4453,4430,4399,4371,
4335,4304,4285,4254,4224,4211
162,01,000,00484,00000,00000,0,A,Addison town,Alabama,758,754,751,750,745,744,742,734,734,728,
725,723,719,717

AWS命令行界面使用示例(CSV)

aws s3api select-object-content --endpoint-url https://10.224.7.44:10443 --no-verify-ssl  --bucket 619c0755-9e38-42e0-a614-05064f74126d --key SUB-EST2020_ALL.csv --expression-type SQL --input-serialization '{"CSV": {"FileHeaderInfo": "USE", "Comments": "#", "QuoteEscapeCharacter": "\"", "RecordDelimiter": "\n", "FieldDelimiter": ",", "QuoteCharacter": "\"", "AllowQuotedRecordDelimiter": false}, "CompressionType": "NONE"}' --output-serialization '{"CSV": {"QuoteFields": "ASNEEDED", "QuoteEscapeCharacter": "#", "RecordDelimiter": "\n", "FieldDelimiter": ",", "QuoteCharacter": "\""}}' --expression "SELECT STNAME, CENSUS2010POP, POPESTIMATE2015, CAST((POPESTIMATE2015 - CENSUS2010POP) AS DECIMAL) / CENSUS2010POP * 100.0 FROM S3Object WHERE NAME = STNAME" changes.csv

输出文件的前几行、 changes.csv，如下所示：

Alabama,4779736,4854803,1.5705260708959658022953568983726297854
Alaska,710231,738430,3.9703983633493891424057806544631253775
Arizona,6392017,6832810,6.8959922978928247531256565807005832431
Arkansas,2915918,2979732,2.1884703204959810255295244928012378949
California,37253956,38904296,4.4299724839960620557988526104449148971
Colorado,5029196,5454328,8.4532796097030221132761578590295546246

AWS命令行界面使用示例(镶木地板)

aws s3api select-object-content  -endpoint-url https://10.224.7.44:10443 --bucket 619c0755-9e38-42e0-a614-05064f74126d --key SUB-EST2020_ALL.parquet --expression "SELECT STNAME, CENSUS2010POP, POPESTIMATE2015, CAST((POPESTIMATE2015 - CENSUS2010POP) AS DECIMAL) / CENSUS2010POP * 100.0 FROM S3Object WHERE NAME = STNAME" --expression-type 'SQL' --input-serialization '{"Parquet":{}}'  --output-serialization '{"CSV": {}}' changes.csv

输出文件的前几行changes.csv如下所示：

Alabama,4779736,4854803,1.5705260708959658022953568983726297854
Alaska,710231,738430,3.9703983633493891424057806544631253775
Arizona,6392017,6832810,6.8959922978928247531256565807005832431
Arkansas,2915918,2979732,2.1884703204959810255295244928012378949
California,37253956,38904296,4.4299724839960620557988526104449148971
Colorado,5029196,5454328,8.4532796097030221132761578590295546246