PolyBase T-SQL 개체PolyBase T-SQL objects

이 항목 적용 대상: 예SQL Server없습니다Azure SQL 데이터베이스없습니다Azure SQL 데이터 웨어하우스 없습니다 병렬 데이터 웨어하우스THIS TOPIC APPLIES TO: yesSQL ServernoAzure SQL DatabasenoAzure SQL Data Warehouse noParallel Data Warehouse PolyBase를 사용하려면 외부 데이터를 참조하는 외부 테이블을 만들어야 합니다. To use PolyBase, you must create external tables to reference your external data.

CREATE DATABASE SCOPED CREDENTIAL(Transact-SQL)CREATE DATABASE SCOPED CREDENTIAL (Transact-SQL)

CREATE EXTERNAL DATA SOURCE(Transact-SQL)CREATE EXTERNAL DATA SOURCE (Transact-SQL)

CREATE EXTERNAL FILE FORMAT(Transact-SQL)CREATE EXTERNAL FILE FORMAT (Transact-SQL)

CREATE EXTERNAL TABLE(Transact-SQL)CREATE EXTERNAL TABLE (Transact-SQL)

CREATE STATISTICS(Transact-SQL)CREATE STATISTICS (Transact-SQL)

참고

SQL Server 2016의 PolyBase는 Windows 사용자만 지원합니다.PolyBase in SQL Server 2016 only supports Windows users. SQL 사용자를 사용하여 PolyBase 외부 테이블을 쿼리하려고 하면 쿼리에 실패합니다.If you try to use a SQL user to query a PolyBase external table, the query will fail.

필수 구성 요소Prerequisites

PolyBase를 구성합니다.Configure PolyBase. PolyBase configuration을 참조하세요.See PolyBase configuration.

Hadoop에 대한 외부 테이블 만들기Create external tables for Hadoop

적용 대상: SQL Server(2016부터), 병렬 데이터 웨어하우스Applies to: SQL Server (starting with 2016), Parallel Data Warehouse

1. 데이터베이스 범위 자격 증명 만들기1. Create Database Scoped Credential

이 단계는 Kerberos 보안 Hadoop 클러스터에만 필요합니다.This step is required only for Kerberos-secured Hadoop clusters.

-- Create a master key on the database.  
-- Required to encrypt the credential secret.  

CREATE MASTER KEY ENCRYPTION BY PASSWORD = 'S0me!nfo';  

-- Create a database scoped credential  for Kerberos-secured Hadoop clusters.  
-- IDENTITY: the Kerberos user name.  
-- SECRET: the Kerberos password  

CREATE DATABASE SCOPED CREDENTIAL HadoopUser1   
WITH IDENTITY = '<hadoop_user_name>', Secret = '<hadoop_password>';  

2. 외부 데이터 원본 만들기2. Create External Data Source

-- Create an external data source.  
-- LOCATION (Required) : Hadoop Name Node IP address and port.  
-- RESOURCE MANAGER LOCATION (Optional): Hadoop Resource Manager location to enable pushdown computation.  
-- CREDENTIAL (Optional):  the database scoped credential, created above.  

CREATE EXTERNAL DATA SOURCE MyHadoopCluster WITH (  
        TYPE = HADOOP,   
        LOCATION ='hdfs://10.xxx.xx.xxx:xxxx',   
        RESOURCE_MANAGER_LOCATION = '10.xxx.xx.xxx:xxxx',   
        CREDENTIAL = HadoopUser1      
);  

3. 외부 파일 형식 만들기3. Create External File Format

-- Create an external file format.  
-- FORMAT TYPE: Type of format in Hadoop (DELIMITEDTEXT,  RCFILE, ORC, PARQUET).  

CREATE EXTERNAL FILE FORMAT TextFileFormat WITH (  
        FORMAT_TYPE = DELIMITEDTEXT,   
        FORMAT_OPTIONS (FIELD_TERMINATOR ='|',   
                USE_TYPE_DEFAULT = TRUE)  

4. 외부 테이블 만들기4. Create External Table

-- Create an external table pointing to data stored in Hadoop.  
-- LOCATION: path to file or directory that contains the data (relative to HDFS root).  

CREATE EXTERNAL TABLE [dbo].[CarSensor_Data] (  
        [SensorKey] int NOT NULL,   
        [CustomerKey] int NOT NULL,   
        [GeographyKey] int NULL,   
        [Speed] float NOT NULL,   
        [YearMeasured] int NOT NULL  
)  
WITH (LOCATION='/Demo/',   
        DATA_SOURCE = MyHadoopCluster,  
        FILE_FORMAT = TextFileFormat  
);  

5. 통계 만들기5. Create Statistics

-- Create statistics on an external table.   
CREATE STATISTICS StatsForSensors on CarSensor_Data(CustomerKey, Speed)  

Azure blob 저장소에 대한 외부 테이블 만들기Create external tables for Azure blob storage

적용 대상: SQL Server(2016부터), Azure SQL Data Warehouse, 병렬 데이터 웨어하우스Applies to: SQL Server (starting with 2016), Azure SQL Data Warehouse, Parallel Data Warehouse

1. 데이터베이스 범위 자격 증명 만들기1. Create Database Scoped Credential

-- Create a master key on the database.  
-- Required to encrypt the credential secret.  

CREATE MASTER KEY ENCRYPTION BY PASSWORD = 'S0me!nfo';  

-- Create a database scoped credential  for Azure blob storage.  
-- IDENTITY: any string (this is not used for authentication to Azure storage).  
-- SECRET: your Azure storage account key.  

CREATE DATABASE SCOPED CREDENTIAL AzureStorageCredential   
WITH IDENTITY = 'user', Secret = '<azure_storage_account_key>';  

2. 외부 데이터 원본 만들기2. Create External Data Source

-- Create an external data source.  
-- LOCATION:  Azure account storage account name and blob container name.  
-- CREDENTIAL: The database scoped credential created above.  

CREATE EXTERNAL DATA SOURCE AzureStorage with (  
        TYPE = HADOOP,   
        LOCATION ='wasbs://<blob_container_name>@<azure_storage_account_name>.blob.core.windows.net',  
        CREDENTIAL = AzureStorageCredential  
);  

3. 외부 파일 형식 만들기3. Create External File Format

-- Create an external file format.  
-- FORMAT TYPE: Type of format in Hadoop (DELIMITEDTEXT,  RCFILE, ORC, PARQUET).  

CREATE EXTERNAL FILE FORMAT TextFileFormat WITH (  
        FORMAT_TYPE = DELIMITEDTEXT,   
        FORMAT_OPTIONS (FIELD_TERMINATOR ='|',   
                USE_TYPE_DEFAULT = TRUE)  

4. 외부 테이블 만들기4. Create External Table

-- Create an external table pointing to data stored in Azure storage.  
-- LOCATION: path to a file or directory that contains the data (relative to the blob container).  
-- To point to all files under the blob container, use LOCATION='/'   

CREATE EXTERNAL TABLE [dbo].[CarSensor_Data] (  
        [SensorKey] int NOT NULL,   
        [CustomerKey] int NOT NULL,   
        [GeographyKey] int NULL,   
        [Speed] float NOT NULL,   
        [YearMeasured] int NOT NULL  
)  
WITH (LOCATION='/Demo/',   
        DATA_SOURCE = AzureStorage,  
        FILE_FORMAT = TextFileFormat  
);  

5. 통계 만들기5. Create Statistics

-- Create statistics on an external table.   
CREATE STATISTICS StatsForSensors on CarSensor_Data(CustomerKey, Speed)  

Azure Data Lake Store의 외부 테이블 만들기Create external tables for Azure Data Lake Store

적용 대상: Azure SQL Data WarehouseApplies to: Azure SQL Data Warehouse

자세한 내용은 Azure Data Lake Store를 사용하여 로드를 참조하세요.For more information, see Load with Azure Data Lake Store

1. 데이터베이스 범위 자격 증명 만들기1. Create Database Scoped Credential

-- Create a Database Master Key.
-- Only necessary if one does not already exist.
-- Required to encrypt the credential secret in the next step.

CREATE MASTER KEY;

-- Create a database scoped credential
-- IDENTITY: Pass the client id and OAuth 2.0 Token Endpoint taken from your Azure Active Directory Application
-- SECRET: Provide your AAD Application Service Principal key.
-- For more information on Create Database Scoped Credential: https://msdn.microsoft.com/en-us/library/mt270260.aspx

CREATE DATABASE SCOPED CREDENTIAL ADL_User
WITH
    IDENTITY = '<client_id>@<OAuth_2.0_Token_EndPoint>'
    ,SECRET = '<key>'
;

2. 외부 데이터 원본 만들기2. Create External Data Source

-- TYPE: HADOOP - PolyBase uses Hadoop APIs to access data in Azure Data Lake Store.
-- LOCATION: Provide Azure storage account name and blob container name.
-- CREDENTIAL: Provide the credential created in the previous step.

CREATE EXTERNAL DATA SOURCE AzureDataLakeStore
WITH (
    TYPE = HADOOP,
    LOCATION = 'adl://<AzureDataLake account_name>.azuredatalake.net,
    CREDENTIAL = AzureStorageCredential
);

3. 외부 파일 형식 만들기3. Create External File Format

-- FIELD_TERMINATOR: Marks the end of each field (column) in a delimited text file
-- STRING_DELIMITER: Specifies the field terminator for data of type string in the text-delimited file.
-- DATE_FORMAT: Specifies a custom format for all date and time data that might appear in a delimited text file.
-- Use_Type_Default: Store all Missing values as NULL

CREATE EXTERNAL FILE FORMAT TextFileFormat
WITH
(   FORMAT_TYPE = DELIMITEDTEXT
,    FORMAT_OPTIONS    (   FIELD_TERMINATOR = '|'
                    ,    STRING_DELIMITER = ''
                    ,    DATE_FORMAT         = 'yyyy-MM-dd HH:mm:ss.fff'
                    ,    USE_TYPE_DEFAULT = FALSE
                    )
);

4. 외부 테이블 만들기4. Create External Table

-- LOCATION: Folder under the ADLS root folder.
-- DATA_SOURCE: Specifies which Data Source Object to use.
-- FILE_FORMAT: Specifies which File Format Object to use
-- REJECT_TYPE: Specifies how you want to deal with rejected rows. Either Value or percentage of the total
-- REJECT_VALUE: Sets the Reject value based on the reject type.

-- DimProduct
CREATE EXTERNAL TABLE [dbo].[DimProduct_external] (
    [ProductKey] [int] NOT NULL,
    [ProductLabel] [nvarchar](255) NULL,
    [ProductName] [nvarchar](500) NULL
)
WITH
(
    LOCATION='/DimProduct/'
,   DATA_SOURCE = AzureDataLakeStore
,   FILE_FORMAT = TextFileFormat
,   REJECT_TYPE = VALUE
,   REJECT_VALUE = 0
)
;

5. 통계 만들기5. Create Statistics

CREATE STATISTICS StatsForProduct on DimProduct_external(ProductKey)  

다음 단계Next steps

쿼리의 예제를 보려면 PolyBase 쿼리를 참조하세요.For examples of queries, see PolyBase Queries.

참고 항목See Also

PolyBase 시작하기 Get started with PolyBase
PolyBase 가이드PolyBase Guide