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Biml を使って、Adobe Analytics Data をSQL Server に同期するSSIS タスクを作成

CData SSIS Components を使って、Biml で Adobe Analytics data をSQL Server に同期するタスクを作成します。

SQL Server に基幹業務データのバックアップを保管することは、ビジネス上のセーフティネットです。また、ユーザーはSQL Server のバックアップデータからレポーティングや分析を簡単に行うことができます。Biml は、SSIS パッケージのようなMicrosoft SQL Server BI Object で使えるXML の方言です。CData SSIS Components をBiml と組み合わせて使うことで、Adobe Analytics data に連携するSSIS パッケージを簡単ンい作成できます。以下のメリットがあります:

  • Built-in metadata discovery — CData SSIS components expose metadata just like working with SQL Server, even dynamically generating schema for schema-less data sources
  • Dynamic SSIS task generation — Use code nuggets in Biml to build SSIS tasks by iterating over discovered metadata
  • Read from Adobe Analytics — Native source components make Adobe Analytics look just like a database

This article demonstrates how to use Biml with the CData SSIS Tasks for Adobe Analytics to dynamically build SSIS tasks (one for each Adobe Analytics entity) to replicate Adobe Analytics data to a Microsoft SQL Server database. We step through the Biml file one section at a time but have included the complete Biml file at the end of the article.

Getting Started

In order to use Biml in an SSIS Project in Visual Studio, install BimlExpress. Once you install BimlExpress, open Visual Studio, create a new Integration Services project, and add a new Biml file.

Building the Biml File

With Biml, you can write scripting to dynamically generate SSIS projects, packages, and tasks. To see the Biml file for an existing project (and gain insights on using Biml with CData SSIS Tasks), simply create your tasks and then right-click the project and select Convert SSIS Packages to Biml.

C# Code

  1. Use directives <#@ .. #> to import necessary namespaces and the assembly for the CData SSIS Components for Adobe Analytics.
    <#@ template language="C#" hostspecific="true"#>
    <#@ import namespace="System.Data"#>
    <#@ import namespace="System.IO"#>
    <#@ import namespace="System.Collections"#>
    <#@ import namespace="System.Data.CData.AdobeAnalytics"#>
    <#@ assembly name="C:\Program Files\CData\CData SSIS Components for Adobe Analytics 2018\lib\CData.SSIS2017.AdobeAnalytics.dll"#>
    
  2. In a new control nugget <# ... #>, create variables for values that will be used throughout the Biml script, including a connection string for Adobe Analytics and structures to store the Adobe Analytics metadata.

    Adobe Analytics uses the OAuth authentication standard. To authenticate using OAuth, you will need to create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the "Getting Started" section of the help documentation for a guide.

    Retrieving GlobalCompanyId

    GlobalCompanyId is a required connection property. If you do not know your Global Company ID, you can find it in the request URL for the users/me endpoint on the Swagger UI. After logging into the Swagger UI Url, expand the users endpoint and then click the GET users/me button. Click the Try it out and Execute buttons. Note your Global Company ID shown in the Request URL immediately preceding the users/me endpoint.

    Retrieving Report Suite Id

    Report Suite ID (RSID) is also a required connection property. In the Adobe Analytics UI, navigate to Admin -> Report Suites and you will get a list of your report suites along with their identifiers next to the name.

    After setting the GlobalCompanyId, RSID and OAuth connection properties, you are ready to connect to Adobe Analytics.

    
    var adobeanalyticsConnectionString = "GlobalCompanyId=myGlobalCompanyId; RSID=myRSID; OAuthClientId=myOauthClientId; OauthClientSecret=myOAuthClientSecret; CallbackURL=myCallbackURL;";
    var replicationServer = "SERVER";
    var replicationCatalog = "CATALOG";
    var replicationUserID = "sqluser";
    var replicationPassword = "sqlpassword";
    
    List<string> allEntityNames = new List<string>();
    Hashtable entitySchema = new Hashtable();
    
  3. In the same control nugget used to defined variables, use ADO.NET code to programmatically query the Adobe Analytics entities (tables) and fields (columns).
    using (AdobeAnalyticsConnection connection = new AdobeAnalyticsConnection(adobeanalyticsConnectionString)) {
      connection.Open();
      var entities = connection.GetSchema("Tables").Rows;
      foreach (DataRow entity in entities)
      {
        allEntityNames.Add(entity["TABLE_NAME"].ToString());
      }
      foreach (string entity in allEntityNames){
        var columns = connection.GetSchema("Columns", new string [] {entity}).Rows;
        entitySchema.Add(entity,columns);
      }
    }
    

Class Nugget

In our Biml script to create the replication tasks, there are several places where repeated XML elements are created dynamically (mostly for columns in SSIS tasks). Instead of repeating the code, add a class nugget <#+ ... #> and create a helper class with methods to consolidate repeated code (full code at the end of the article).

  1. Add public static variables to determine which type of XML element to create.
    public static int OUTPUT_WITH_ERROR = 0;
    public static int EXTERNAL = 1;
    public static int OUTPUT = 2;
    public static int DATAOVERRIDE_COLUMN = 4;
    
  2. Add a public method to build a SQL statement for use in the ExecuteSQL task used to drop existing tables and create a new table for the replicated data.
    // Dynamically builds a DROP TABLE and CREATE statement
    // for each entity (table) in Adobe Analytics using the table name and metadata.
    public static string GetDeleteAndCreateStatement(string tableName, DataRowCollection columns) {
      ...
    }
    
  3. Add a public method to build the collection of column-based XML elements.
     
    // Dynamically build various column-based XML elements
    // for each entity (table) in Adobe Analytics based on the column 
    // metadata and the parent element
    public static string GetColumnDefs(DataRowCollection columns, int columnType){
      ...
    }
    

Biml Script

Now that you have the table metadata and a Helper class to reduce repeated code, write the Biml script to dynamically create your replication packages.

  1. Start by adding a CustomSsisConnection element for the CData SSIS Tasks. Note that the ObjectData attribute must be XML encoded. A typical connecting string looks similar to the following (note the use of the adobeanalyticsConnectionString variable for the ConnectionString property:
    <AdobeAnalyticsConnectionManager>
      <Property Name="ConnectionString"><#=adobeanalyticsConnectionString#></Property>
    </AdobeAnalyticsConnectionManager>
    

    After configuring the connection to the CData SSIS Task, configure a connection to the replication database. The completed Connections element looks like the following (note the use of text nuggets <#= ... #> to add variables for connection string values):

    <Connections>
      <CustomSsisConnection Name="CData AdobeAnalytics Connection Manager" CreationName = "CDATA_ADOBEANALYTICS" ObjectData = "&lt;AdobeAnalyticsConnectionManager&gt; &lt;Property Name=&quot;ConnectionString&quot;&gt; <#=adobeanalyticsConnectionString#>&lt;/Property&gt; &lt;/AdobeAnalyticsConnectionManager&gt;" />
      <Connection Name="Destination" ConnectionString="Data Source=<#=replicationServer#>;User ID=<#=replicationUserID#>;Password=<#=replicationPassword#>;Initial Catalog=<#=replicationCatalog#>;Provider=SQLNCLI11.1;"/>
    </Connections>
    
  2. With the Connections element configured, you are ready to build our replication package. In the package, the Biml script create an ExecuteSQL task and a Dataflow task for each table to be replicated.

    To build each set of tasks, use a while loop in a control nugget to iterate through the entity (table) names:

    int entityCounter = 0; while(entityCounter < allEntityNames.Count){
    var tableName = allEntityNames[entityCounter].ToString();
    DataRowCollection columns = ((DataRowCollection)entitySchema[tableName]);
    
    • ExecuteSQL Task

      In the ExecuteSQL task, execute a SQL query to drop any existing tables that have the same name as our Adobe Analytics entity (table) and create a new table based on the metadata discovered using the CData SSIS Component.

      To create the query dynamically, use the Helper.GetDeleteAndCreateStatement() helper function.

    • Dataflow Task

      Within the Dataflow use a CustomComponent as the source component and an OleDbDestination as the destination.

      • CustomComponent Element

        The CustomComponent element uses the CData SSIS Source component to retrieve Adobe Analytics data. Start by configuring the component to use with the CData component.

        
        <CustomComponent Name="CData Adobe Analytics Source" ComponentTypeName="CData.SSIS.AdobeAnalytics.AdobeAnalyticsSource" Version="18" ContactInfo="support@cdata.com" UsesDispositions="true">
        ...
        </CustomComponent>
        

        DataflowOverrides and OutputPaths Elements

        The next step after configuring the connection is to add Columns elements to the OutputPath child element of the DataflowOverrides element. To do so, call the Helper.GetColumnDefs() helper function.

        Use the same Helper class to add columns to the OutputColumns and ExternalColumns child elements of the various OutputPaths elements.

        The definitions created provide information about the input, output, and error information for the SSIS component.

        
        <DataflowOverrides>
          <OutputPath OutputPathName="CData AdobeAnalytics Source Output">
            <Columns>
        <#=HelperClass.GetColumnDefs(columns,HelperClass.DATAOVERRIDE_COLUMN) #>
            </Columns>
          </OutputPath>
        </DataflowOverrides>
        ...
        <OutputPaths>
          <OutputPath Name="CData AdobeAnalytics Source Output">
            <OutputColumns>
        <#=HelperClass.GetColumnDefs(columns,HelperClass.OUTPUT_WITH_ERROR) #>
            </OutputColumns>
            <ExternalColumns>
        <#=HelperClass.GetColumnDefs(columns,HelperClass.EXTERNAL) #>
            </ExternalColumns>
          </OutputPath>
          <OutputPath Name="CData AdobeAnalytics Source Error Output" IsErrorOutput="true">
            <OutputColumns>
        <#=HelperClass.GetColumnDefs(columns,HelperClass.OUTPUT) #      
            </OutputColumns>
          </OutputPath>
        </OutputPaths>
        

        CustomProperties Element

        The CData SSIS tasks are surfaced in SSIS as custom components with a series of required CustomProperties:

        
        <CustomProperties>
          <CustomProperty Name="SQLStatement" DataType="Null" UITypeEditor="Microsoft.DataTransformationServices.Controls.ModalMultilineStringEditor, Microsoft.DataTransformationServices.Controls, Version= 10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91" SupportsExpression="true"></CustomProperty>
          <CustomProperty Name="AccessMode" DataType="Int32" TypeConverter="CData.SSIS.AdobeAnalytics.AccessModeToStringConverter">0</CustomProperty>
          <CustomProperty Name="TableOrView" DataType="String" UITypeEditor="Microsoft.DataTransformationServices.Controls.ModalMultilineStringEditor, Microsoft.DataTransformationServices.Controls, Version= 10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91" SupportsExpression="true">[<#=tableName#>]</CustomProperty>
          <CustomProperty Name="ExecStoredProcedure" DataType="Boolean">false</CustomProperty>
        </CustomProperties>
        

        Connections Element

        The last element to add to the CustomComponent element is a Connections element, attaching the previously defined connection to the task:

        
        <Connections>
          <Connection Name="AdobeAnalytics 2018 Connection" ConnectionName="CData AdobeAnalytics Connection Manager" />
        </Connections>
        
      • OleDbDestination Element

        The final piece of the Dataflow task is the OleDbDestination element. Attach the previously defined OleDbConnection to the element, set the InputPath and ExternalTableOutput:

        
        <OleDbDestination Name="OLE DB Destination" ConnectionName="Destination" CheckConstraints="false">
          <InputPath OutputPathName="CData AdobeAnalytics Source.CData AdobeAnalytics Source Output" />
          <ExternalTableOutput Table="[<#=tableName#>]" />
        </OleDbDestination>
        

  3. Use a control nugget to increment the counter used to iterate over the collection of entity (table) names. Do this within the Tasks element, after the end of the Dataflow element:
    
    ...
              </Dataflow>          
    <# entityCounter++;}#>
            </Tasks>
        </Package>
      </Packages>
    </Biml>
    

Build the SSIS Project

Once the Biml file is written, right-click on the Biml file in Server Explorer and select Generate SSIS Packages. At this point, Visual Studio and BimlExpress will translate the Biml file into SSIS package(s), ready to be run.

Run the package to begin replicating your Adobe Analytics data to a SQL Server database (or any other destination you choose).

Free Trial & More Information

With the CData SSIS Components for Adobe Analytics, you get SQL access to your Adobe Analytics data directly from SSIS packages. And with Biml, you can automatically generate those packages. For more information about the CData SSIS Components for Adobe Analytics, refer to the product page. You can always get started with a free, 30-day trial. As always, our world-class CData Support Team is available if you have any questions.

Complete Biml File


<#@ template language="C#" hostspecific="true"#>
<#@ import namespace="System.Data"#>
<#@ import namespace="System.IO"#>
<#@ import namespace="System.Collections"#>
<#@ import namespace="System.Data.CData.AdobeAnalytics"#>
<#@ assembly name="C:\Program Files\CData\CData SSIS Components for AdobeAnalytics 2018\lib\CData.SSIS2017.AdobeAnalytics.dll"#>
<#
var adobeanalyticsConnectionString = ""GlobalCompanyId=myGlobalCompanyId; RSID=myRSID; OAuthClientId=myOauthClientId; OauthClientSecret=myOAuthClientSecret; CallbackURL=myCallbackURL;";
var replicationServer = "JDG";
var replicationCatalog = "BIML";
var replicationUserID = "sqltest";
var replicationPassword = "sqltest";

List<string> allEntityNames = new List<string>();
Hashtable entitySchema = new Hashtable();
using (AdobeAnalyticsConnection connection = new AdobeAnalyticsConnection(adobeanalyticsConnectionString)) {
    connection.Open();
    var entities = connection.GetSchema("Tables").Rows;
    foreach (DataRow entity in entities)
    {
        allEntityNames.Add(entity["TABLE_NAME"].ToString());
    }
    foreach (string entity in allEntityNames){
        var columns = connection.GetSchema("Columns", new string [] {entity}).Rows;
        entitySchema.Add(entity,columns);
    }
}#>
<Biml xmlns="http://schemas.varigence.com/biml.xsd">
  <Connections>
    <CustomSsisConnection Name="CData AdobeAnalytics Connection Manager" CreationName="CDATA_ADOBEANALYTICS" ObjectData="&lt;AdobeAnalyticsConnectionManager&gt;&lt;Property Name=&quot;ConnectionString"&gt;<#=adobeanalyticsConnectionString#>&lt;/Property&gt;&lt;/AdobeAnalyticsConnectionManager&gt;"/>
    <Connection Name="Destination" ConnectionString="Data Source=<#=replicationServer#>;User ID=<#=replicationUserID#>;Password=<#=replicationPassword#>;Initial Catalog=<#=replicationCatalog#>;Provider=SQLNCLI11.1;"/>
  </Connections>
  <Packages>
    <Package Name="Replicate AdobeAnalytics Package" Language="None" ConstraintMode="LinearOnCompletion" ProtectionLevel="EncryptSensitiveWithUserKey">
      <Tasks>
<# int entityCounter = 0; while(entityCounter < allEntityNames.Count){
   var tableName = allEntityNames[entityCounter].ToString();
   if (tableName.Equals("IdpEventLog")) break;
   DataRowCollection columns = ((DataRowCollection)entitySchema[tableName]);#>
        <ExecuteSQL Name="Create <#=tableName#> Replication Table" ConnectionName="Destination">
          <DirectInput>
<#=HelperClass.GetDeleteAndCreateStatement(tableName,columns)#>
          </DirectInput>
        </ExecuteSQL>
        <Dataflow Name="Replicate <#=tableName#>">
          <Transformations>
            <CustomComponent Name="CData AdobeAnalytics Source" ComponentTypeName="CData.SSIS.AdobeAnalytics.AdobeAnalyticsSource" Version="18" ContactInfo="support@cdata.com" UsesDispositions="true">
              <DataflowOverrides>
                <OutputPath OutputPathName="CData AdobeAnalytics Source Output">
                  <Columns>
<#=HelperClass.GetColumnDefs(columns,HelperClass.DATAOVERRIDE_COLUMN) #>
                  </Columns>
                </OutputPath>
              </DataflowOverrides>
              <CustomProperties>
                <CustomProperty Name="SQLStatement" DataType="Null" UITypeEditor="Microsoft.DataTransformationServices.Controls.ModalMultilineStringEditor, Microsoft.DataTransformationServices.Controls, Version= 10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91" SupportsExpression="true"></CustomProperty>
                <CustomProperty Name="AccessMode" DataType="Int32" TypeConverter="CData.SSIS.AdobeAnalytics.AccessModeToStringConverter">0</CustomProperty>
                <CustomProperty Name="TableOrView" DataType="String" UITypeEditor="Microsoft.DataTransformationServices.Controls.ModalMultilineStringEditor, Microsoft.DataTransformationServices.Controls, Version= 10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91" SupportsExpression="true">[<#=tableName#>]</CustomProperty>
                <CustomProperty Name="ExecStoredProcedure" DataType="Boolean">false</CustomProperty>
              </CustomProperties>
              <OutputPaths>
                <OutputPath Name="CData AdobeAnalytics Source Output">
                  <OutputColumns>
<#=HelperClass.GetColumnDefs(columns,HelperClass.OUTPUT_WITH_ERROR) #>
                  </OutputColumns>
                  <ExternalColumns>
<#=HelperClass.GetColumnDefs(columns,HelperClass.EXTERNAL) #>
                  </ExternalColumns>
                </OutputPath>
                <OutputPath Name="CData AdobeAnalytics Source Error Output" IsErrorOutput="true">
                  <OutputColumns>
<#=HelperClass.GetColumnDefs(columns,HelperClass.OUTPUT) #>                     
                  </OutputColumns>
                </OutputPath>
              </OutputPaths>
              <Connections>
                <Connection Name="AdobeAnalytics 2018 Connection" ConnectionName="CData AdobeAnalytics Connection Manager" />
              </Connections>
            </CustomComponent>
            <OleDbDestination Name="OLE DB Destination" ConnectionName="Destination" CheckConstraints="false">
              <InputPath OutputPathName="CData AdobeAnalytics Source.CData AdobeAnalytics Source Output" />
              <ExternalTableOutput Table="[<#=tableName#>]" />
            </OleDbDestination>
          </Transformations>
        </Dataflow>          
<# entityCounter++;}#>
      </Tasks>
    </Package>
  </Packages>
</Biml>

<#+
public static class HelperClass {
    
    public static int OUTPUT_WITH_ERROR = 0;
    public static int EXTERNAL = 1;
    public static int OUTPUT = 2;
    public static int DATAOVERRIDE_COLUMN = 4;
    
    public static string GetDeleteAndCreateStatement(string tableName, DataRowCollection columns) {
        var dropAndCreateStatement = 
            "IF EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[{0}]') AND type IN (N'U'))\r\n" + 
            "DROP TABLE [{0}];\r\n" + 
            "CREATE TABLE [{0}]\r\n" + 
            "(\r\n" + 
            "{1}\r\n" + 
            ")\r\n" + 
            "ON \"default\";";
        string columnDefs = "";
        foreach (DataRow column in columns){
            string columnDef = "    [{0}] {1}";
            string dataType = column["DATA_TYPE"].ToString();
            if (dataType.ToLower().StartsWith("bool")) {
                dataType = "bit";
            } else if (dataType.ToLower().Equals("real")) {
                dataType = "float";
            } else if (dataType.ToLower().Contains("varchar")) {
                var columnLength = column["CHARACTER_MAXIMUM_LENGTH"];
                dataType = "nvarchar(" + ((int)columnLength > 4000 ? "MAX" : columnLength) + ")";         
            } 
            columnDefs += String.Format(columnDef,column["COLUMN_NAME"],dataType) + ",\r\n";
            
        }
        columnDefs = columnDefs.Remove(columnDefs.LastIndexOf(",\r\n"),",\r\n".Length);
        return String.Format(dropAndCreateStatement,tableName,columnDefs);
    }
    
    public static string GetColumnDefs(DataRowCollection columns, int columnType){
        var columnDefTemplate = "";
        var columnElements = "";
        
        if (columnType == DATAOVERRIDE_COLUMN) {
            columnDefTemplate = "                      <Column ErrorRowDisposition=\"FailComponent\" TruncationRowDisposition=\"FailComponent\" ColumnName=\"{0}\" />\r\n";
            foreach(DataRow column in columns) {
                var columnName = column["COLUMN_NAME"];
                columnElements += String.Format(columnDefTemplate,columnName);
            }
            return columnElements;
        } 
        if (columnType == OUTPUT_WITH_ERROR)
            columnDefTemplate = "                      <OutputColumn Name=\"{0}\" {1} ExternalMetadataColumnName=\"{0}\" ErrorRowDisposition=\"FailComponent\" TruncationRowDisposition=\"FailComponent\" />\r\n";
        else if (columnType == EXTERNAL)
            columnDefTemplate = "                      <ExternalColumn Name=\"{0}\" {1} />\r\n";
        else if (columnType == OUTPUT)
            columnDefTemplate = "                      <OutputColumn Name=\"{0}\" {1} />\r\n";
        
        foreach(DataRow column in columns){ 
            var columnName = column["COLUMN_NAME"];
            var dataTypeRaw = column["DATA_TYPE"].ToString().ToLower();
            var typeAndRelatedInfo = "";
            if (dataTypeRaw.Equals("bool")) {
                typeAndRelatedInfo = "DataType=\"Boolean\"";
            } else if (dataTypeRaw.Equals("date")) {
                typeAndRelatedInfo = "DataType=\"Date\" SsisDataTypeOverride=\"DT_DBDATE\"";
            } else if (dataTypeRaw.Equals("datetime")) {
                typeAndRelatedInfo = "DataType=\"DateTime\"";
            } else if (dataTypeRaw.Equals("real")) {
                typeAndRelatedInfo = ((int)column["NumericPrecision"] > 0 ? "Precision=\"18\" " : " ") + ((int)column["NumericScale"] > 0 ? "Scale=\"15\" " : " ") + "DataType=\"Decimal\"";
            } else if (dataTypeRaw.Equals("varchar")) {
                var columnLength = column["CHARACTER_MAXIMUM_LENGTH"];
                if ((int)columnLength > 4000) {
                    typeAndRelatedInfo = "DataType=\"String\"";
                } else {
                    typeAndRelatedInfo = "Length=\"" + columnLength + "\" DataType=\"String\" CodePage=\"1252\"";
                }
            }
            columnElements += String.Format(columnDefTemplate,columnName,typeAndRelatedInfo);
        }
        return columnElements;
    }
}
#>
 
 
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