Informatica B2B Data Exchange (Version 9.5.0) Operational Data Store Schema Reference

Informatica B2B Data Exchange (Version 9.5.0) Operational Data Store Schema Reference

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Table of Contents Preface.... ii Informatica Resources.... ii Informatica Customer Portal.... ii Informatica Documentation.... ii Informatica Web Site.... ii Informatica How-To Library.... ii Informatica Knowledge Base.... iii Informatica Multimedia Knowledge Base.... iii Informatica Global Customer Support.... iii Chapter 1: Operational Data Store Schema Overview.... 1 Operational Data Store Schema Overview.... 1 Operational Data Store Tables.... 2 Operational Data Store Structure and Relationships.... 3 Chapter 2: Fact Tables.... 5 DX_ODS_EVENT_FACTS Table.... 5 DX_ODS_CUSTOM_FACTS Table.... 6 Chapter 3: Dimension Tables.... 7 DX_ODS_ACCOUNT Table.... 7 DX_ODS_CUSTOM_FACTS_EAV Table.... 7 DX_ODS_EVENT_STATUS Table.... 8 DX_ODS_EVENT_TYPE Table.... 8 DX_ODS_PARTNER Table.... 9 DX_ODS_TIME_BREAKDOWN Table.... 9 Chapter 4: User Access Tables.... 10 DX_ODS_USER_ACCESS Table.... 10 DX_ODS_USER_EVENT_TYPE Table.... 10 DX_ODS_USER_SUPER Table.... 11 Appendix A: Examples.... 12 SQL Query Examples.... 12 Index.... 15 Table of Contents i

Preface The Operational Data Store Schema Reference provides information about the structure and content of the tables in the operational data store. This reference is written for B2B Data Exchange developers who need to access the information in the database for creating custom reports in B2B Data Exchange or external reporting tools. It assumes that you have working knowledge of Oracle database management experience creating and maintaining reports for Dashboard applications. Informatica Resources Informatica Customer Portal As an Informatica customer, you can access the Informatica Customer Portal site at http://mysupport.informatica.com. The site contains product information, user group information, newsletters, access to the Informatica customer support case management system (ATLAS), the Informatica How-To Library, the Informatica Knowledge Base, the Informatica Multimedia Knowledge Base, Informatica Product Documentation, and access to the Informatica user community. Informatica Documentation The Informatica Documentation team takes every effort to create accurate, usable documentation. If you have questions, comments, or ideas about this documentation, contact the Informatica Documentation team through email at infa_documentation@informatica.com. We will use your feedback to improve our documentation. Let us know if we can contact you regarding your comments. The Documentation team updates documentation as needed. To get the latest documentation for your product, navigate to Product Documentation from http://mysupport.informatica.com. Informatica Web Site You can access the Informatica corporate web site at http://www.informatica.com. The site contains information about Informatica, its background, upcoming events, and sales offices. You will also find product and partner information. The services area of the site includes important information about technical support, training and education, and implementation services. Informatica How-To Library As an Informatica customer, you can access the Informatica How-To Library at http://mysupport.informatica.com. The How-To Library is a collection of resources to help you learn more about Informatica products and features. It ii

includes articles and interactive demonstrations that provide solutions to common problems, compare features and behaviors, and guide you through performing specific real-world tasks. Informatica Knowledge Base As an Informatica customer, you can access the Informatica Knowledge Base at http://mysupport.informatica.com. Use the Knowledge Base to search for documented solutions to known technical issues about Informatica products. You can also find answers to frequently asked questions, technical white papers, and technical tips. If you have questions, comments, or ideas about the Knowledge Base, contact the Informatica Knowledge Base team through email at KB_Feedback@informatica.com. Informatica Multimedia Knowledge Base As an Informatica customer, you can access the Informatica Multimedia Knowledge Base at http://mysupport.informatica.com. The Multimedia Knowledge Base is a collection of instructional multimedia files that help you learn about common concepts and guide you through performing specific tasks. If you have questions, comments, or ideas about the Multimedia Knowledge Base, contact the Informatica Knowledge Base team through email at KB_Feedback@informatica.com. Informatica Global Customer Support You can contact a Customer Support Center by telephone or through the Online Support. Online Support requires a user name and password. You can request a user name and password at http://mysupport.informatica.com. Use the following telephone numbers to contact Informatica Global Customer Support: North America / South America Europe / Middle East / Africa Asia / Australia Toll Free Brazil: 0800 891 0202 Mexico: 001 888 209 8853 North America: +1 877 463 2435 Toll Free France: 0805 804632 Germany: 0800 5891281 Italy: 800 915 985 Netherlands: 0800 2300001 Portugal: 800 208 360 Spain: 900 813 166 Switzerland: 0800 463 200 United Kingdom: 0800 023 4632 Toll Free Australia: 1 800 151 830 New Zealand: 09 9 128 901 Standard Rate India: +91 80 4112 5738 Standard Rate Belgium: +31 30 6022 797 France: +33 1 4138 9226 Germany: +49 1805 702 702 Netherlands: +31 306 022 797 United Kingdom: +44 1628 511445 Preface iii

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C H A P T E R 1 Operational Data Store Schema Overview This chapter includes the following topics: Operational Data Store Schema Overview, 1 Operational Data Store Tables, 2 Operational Data Store Structure and Relationships, 3 Operational Data Store Schema Overview The operational data store is a repository that contains aggregated information about events that B2B Data Exchange processes. B2B Data Exchange uses the information for business activity monitoring and Dashboard reports. The operational data store schema is based on a star schema. The operational data store includes the following table types: Fact tables. Contain aggregated information that B2B Data Exchange collects about events. Fact tables store event information based on key performance indicators (KPIs). Default KPIs in B2B Data Exchange provide event processing information, such as number of events or processing time. Custom KPIs provide values for event attributes that you select to use in reports, such as sales figures or customer claim values. Dimension tables. Contain additional metadata that you can use to filter the information from the fact tables. Dimension tables store descriptive information about event properties, such as the related partner, account, or event type. User access tables. Contain information about B2B Data Exchange security restrictions for specific event dimensions. User access tables store user information according to the access role and the type of information that the users view. B2B Data Exchange collects events from the run-time repository with the operational data store event loader. The operational data store event loader is a PowerCenter workflow that runs at predefined intervals and loads KPIs to the relevant tables. Use the Operation Console to view the reports in the Dashboard. Use Logi Info Studio to enhance the default Dashboard panels or to create custom Dashboard panels with information from the operational data store. You can also create custom reports with an external tool directly from the operational data store according to the organization requirements. 1

For information about viewing reports in the Dashboard from the Operation Console, see the B2B Data Exchange Operator Guide. For information about enhancing and customizing the Dashboard with Logi Info Studio, see the B2B Data Exchange Developer Guide. Operational Data Store Tables The operational data store contains fact tables, dimension tables, and user access tables. The following table describes the fact tables: Table Name DX_ODS_EVENT_FACTS DX_ODS_CUSTOM_FACTS Description Aggregated event information based on default KPIs. Default KPIs provide information about events according to the basic event properties, such as processing time or number of events. Aggregated event information based on custom KPIs. You create custom KPIs from event attributes that you define in the Operation Console. The attribute value may represent any numeric data that you want to aggregate, such as sales figures or the amount of insurance claims. The following table describes the dimension tables: Table Name DX_ODS_ACCOUNT DX_ODS_CUSTOM_FACTS_EAV DX_ODS_EVENT_STATUS DX_ODS_EVENT_TYPE DX_ODS_PARTNER DX_ODS_TIME_BREAKDOWN Description Names and identifiers of related accounts. This table also contains the parent partners for the accounts. Names and identifiers of event attributes that you select to use in reports. Names and identifiers of event statuses. This table also contains error and final status information. Names and identifiers of event types. Names and identifiers of related partners. This table does not contain account information. Time frames and units for the event aggregation, such as the time and date on which event processing began. The following table describes the user access tables: Table Name DX_ODS_USER_ACCESS DX_ODS_USER_EVENT_TYPE DX_ODS_USER_SUPER Description Identifiers for B2B Data Exchange users and access roles. Identifiers for B2B Data Exchange users and the event types that the users can access. Identifiers for B2B Data Exchange users with no access restrictions. 2 Chapter 1: Operational Data Store Schema Overview

Operational Data Store Structure and Relationships The operational data store contains fact tables, dimension tables, and user access tables. The fact tables typically have primary-foreign key relationships with the dimension tables. The user access tables contain security restriction information according to the B2B Data Exchange user permissions. The following figure shows the relationships between the fact tables and the dimension tables: In the figure, each table displays the column names and key types. Columns that function as primary keys are underlined. The connectors indicate the primary-foreign key relationship between the tables. The following table describes the tables and relationships: Table Name Primary Key Name Foreign Key Usage DX_ODS_CUSTOM_FACTS - FACT_ROW_ID - EVENT_ATTRIBUTE_ID Not used. DX_ODS_EVENT_FACTS ROW_ID Used as a foreign key in the following tables: - DX_ODS_EVENT_FACTS DX_ODS_ACCOUNT ACCOUNT_ID Used as a foreign key in the following tables: - DX_ODS_EVENT_FACTS DX_ODS_CUSTOM_FACTS_EAV ID Used as a foreign key in the following tables: - DX_ODS_CUSTOM_FACTS. The foreign key is named FACT_ROW_ID. Operational Data Store Structure and Relationships 3

Table Name Primary Key Name Foreign Key Usage DX_ODS_EVENT_STATUS EVENT_STATUS_ID Used as a foreign key in the following tables: - DX_ODS_EVENT_FACTS DX_ODS_EVENT_TYPE EVENT_TYPE_ID Used as a foreign key in the following tables: - DX_ODS_EVENT_FACTS DX_ODS_PARTNER PARTNER_ID Used as a foreign key in the following tables: - DX_ODS_ACCOUNT - DX_ODS_EVENT_FACTS DX_ODS_TIME_BREAKDOWN TIMESLICE Not used. In addition to the fact tables and dimension tables, the operational data store contains user access tables. There are no direct relationships between the user access tables and the other tables. You use the user access tables to restrict access to specific information in the operational data store. The following figure shows the user access tables: In the figure, each table displays the column names and key types. Columns that function as primary keys are underlined. The operational data store schema contains the following user access tables: DX_ODS_USER_ACCESS table DX_ODS_USER_EVENT_TYPE table DX_ODS_USER_SUPER table 4 Chapter 1: Operational Data Store Schema Overview

C H A P T E R 2 Fact Tables This chapter includes the following topics: DX_ODS_EVENT_FACTS Table, 5 DX_ODS_CUSTOM_FACTS Table, 6 DX_ODS_EVENT_FACTS Table The DX_ODS_EVENT_FACTS table contains aggregated information about events that B2B Data Exchange processes. The following table describes the columns and datatypes of the DX_ODS_EVENT_FACTS table: Column Name Datatype Description ROW_ID* NUMBERPS(38,0), NOT NULL Numeric identifier for the row that contains aggregated information for the event. TIMESLICE CHAR(10), NOT NULL Start date and time of the interval during which B2B Data Exchange processed events for each time frame. EVENT_TYPE_ID NUMBERPS(19,0), NOT NULL Unique identifier for the event type. EVENT_STATUS_ID NUMBERPS(19,0), NOT NULL Unique identifier for the event status. PARTNER_ID NUMBERPS(19,0) Unique identifier for the related partner. ACCOUNT_ID NUMBERPS(19,0) Unique identifier for the related account. ACCESS_ID* NUMBERPS(19,0) Unique identifier for the access role. The identifier is generated and does not represent the access role name in the Operation Console EVENT_COUNT NUMBERPS(19,0), NOT NULL Number of events that B2B Data Exchange processed during the time frame. TOTAL_PROCESSING_TIME CHAR(10), NOT NULL Total time that it took for B2B Data Exchange to process all events during the time frame. MIN_PROCESSING_TIME CHAR(10), NOT NULL Shortest time in miliseconds that it took for B2B Data Exchange to process an event. 5

Column Name Datatype Description MAX_PROCESSING_TIME CHAR(10), NOT NULL Longest time in miliseconds that it took for B2B Data Exchange to process an event during the time frame. * Primary key. DX_ODS_CUSTOM_FACTS Table The DX_ODS_CUSTOM_FACTS table contains information about values of event attributes that you select from the Operation Console to use in reports. The attribute values may represent any numeric data that you want to aggregate and use in custom Dashboard panels. The following table describes the columns and datatypes of the DX_ODS_CUSTOM_FACTS table: Column Name Datatype Description FACT_ROW_ID* EVENT_ATTRIBUTE_ID* NUMBERPS(38,0), NOT NULL NUMBERPS(19,0), NOT NULL Numeric identifier for the row that contains aggregated information for the custom event attribute. Unique identifier for the event attribute to use in reports. TIMESLICE CHAR(10), NOT NULL Start date and time of the interval during which B2B Data Exchange processed events for each time frame. VALUE_SUM NUMBER(8), NOT NULL Total sum of the custom event attribute values that B2B Data Exchange processed during the time frame. For example, 2,000,000 is the total amount in dollars of insurance claims that B2B Data Exchange processed in one day. VALUE_COUNT NUMBER(8), NOT NULL Total number of the custom event attribute values that B2B Data Exchange processed during the time frame. For example, B2B Data Exchange processed 10,000 insurance claims in one day. VALUE_MIN NUMBER(8), NOT NULL Lowest value that B2B Data Exchange processed during the time frame. For example, $5,000 is the lowest insurance claim in dollars that B2B Data Exchange processed in one day. VALUE_MAX NUMBER(8), NOT NULL Highest value that B2B Data Exchange processed during the time frame. For example, $500,000 is the highest insurance claim in dollars that B2B Data Exchange processed in one day. * Primary key. 6 Chapter 2: Fact Tables

C H A P T E R 3 Dimension Tables This chapter includes the following topics: DX_ODS_ACCOUNT Table, 7 DX_ODS_CUSTOM_FACTS_EAV Table, 7 DX_ODS_EVENT_STATUS Table, 8 DX_ODS_EVENT_TYPE Table, 8 DX_ODS_PARTNER Table, 9 DX_ODS_TIME_BREAKDOWN Table, 9 DX_ODS_ACCOUNT Table The DX_ODS_ACCOUNT table contains information about accounts and the related partners in B2B Data Exchange. The following table describes the columns and datatypes of the DX_ODS_ACCOUNT table: Column Name Datatype Description PARTNER_ID NUMBERPS(19,0), NOT NULL Unique identifier for the related partner. ACCOUNT_ID* NUMBERPS(19,0), NOT NULL Unique identifier for the related account. ACCOUNT_NAME VARCHAR2(255), NOT NULL Name of the account. ACCOUNT_NUMBER VARCHAR2(255) NOT NULL Number for the account. * Primary key. Used in the DX_ODS_EVENT_FACTS table as a foreign key. DX_ODS_CUSTOM_FACTS_EAV Table The DX_ODS_CUSTOM_FACTS_EAV table contains information about custom event attributes that you select to use in reports. 7

The following table describes the columns and datatypes of the DX_ODS_CUSTOM_FACTS table: Column Name Datatype Description ID NUMBERPS(19,0), NOT NULL Unique identifier of the custom event attribute. PROPERTY_KEY* VARCHAR2(255), NOT NULL Name of the custom event attribute. * Primary key. DX_ODS_EVENT_STATUS Table The DX_ODS_EVENT_STATUS table contains information about the status of events that B2B Data Exchange processes. The following table describes the columns and datatypes of the DX_ODS_EVENT_STATUS table: Column Name Datatype Description EVENT_STATUS_ID* NUMBERPS(19,0), NOT NULL Unique identifier for the event status. EVENT_STATUS_NAME VARCHAR2(255) Name of the event status. ERROR_FLAG NUMBERPS(1,0), NOT NULL Indicates whether the event reached an error state. FINAL_FLAG NUMBERPS(1,0), NOT NULL Indicates whether the event reached a final state. * Primary key. Used in the DX_ODS_EVENT_FACTS table as a foreign key. DX_ODS_EVENT_TYPE Table The DX_ODS_EVENT_TYPE table contains information about the type of events that B2B Data Exchange processes. The following table describes the columns and datatypes of the DX_ODS_EVENT_TYPE table: Column Name Datatype Description EVENT_TYPE_ID* NUMBERPS(19,0), NOT NULL Unique identifier for the event type. EVENT_TYPE_NAME VARCHAR2(255) Name of the event type. * Primary key. Used in the DX_ODS_EVENT_FACTS table as a foreign key. 8 Chapter 3: Dimension Tables

DX_ODS_PARTNER Table The DX_ODS_PARTNER table contains information about the partners for which B2B Data Exchange processes events. The following table describes the columns and datatypes of the DX_ODS_PARTNER table: Column Name Datatype Description PARTNER_ID* NUMBERPS(19,0), NOT NULL Unique identifier for the related partner. PARTNER_NAME VARCHAR2(255) Name of the related partner. * Primary key. Used in the DX_ODS_EVENT_FACTS table as a foreign key. DX_ODS_TIME_BREAKDOWN Table The DX_ODS_TIME_BREAKDOWN table contains information about the time frames during which B2B Data Exchange processes events. The following table describes the columns and datatypes of the DX_ODS_TIME_BREAKDOWN table: Column Name Datatype Description TIMESLICE* CHAR(10), NOT NULL Start date and time of the interval during which B2B Data Exchange processed events for each time frame. SECONDS_FROM_MIDNIGHT NUMBERPS(5,0), NOT NULL Number of seconds from the beginning of the calendar day. WEEK_OF_YEAR NUMBERPS(2,0), NOT NULL Number of the week in the calendar year. For example, the first week of January is week 1. DAY_OF_MONTH NUMBERPS(2,0), NOT NULL Calendar date of the day. For example, March 23rd is day 23. MONTH_OF_YEAR NUMBERPS(2,0), NOT NULL Calendar month of the year. For example, June is month 6. YEAR NUMBERPS(5,0), NOT NULL Calendar year, such as 2011. * Primary key. DX_ODS_PARTNER Table 9

C H A P T E R 4 User Access Tables This chapter includes the following topics: DX_ODS_USER_ACCESS Table, 10 DX_ODS_USER_EVENT_TYPE Table, 10 DX_ODS_USER_SUPER Table, 11 DX_ODS_USER_ACCESS Table The DX_ODS_USER_ACCESS table contains information about B2B Data Exchange users and the access level to events that the Dashboard panels display in the Operation Console. The following table describes the columns and datatypes of the DX_ODS_USER_ACCESS table: Column Name Datatype Description USER_ID* NUMBERPS(19,0), NOT NULL Unique identifier for the Operation Console user that can view specific information from the operational data store in Dashboard panels. The identifier is generated and does not represent the login name for the user. ACCESS_ID* NUMBERPS(19,0), NOT NULL Unique identifier for the Operation Console access role. * Primary key. DX_ODS_USER_EVENT_TYPE Table The DX_ODS_USER_EVENT_TYPE table contains information about B2B Data Exchange users and the event types that they can view in the Dashboard panels of the Operation Console. The following table describes the columns and datatypes of the DX_ODS_USER_EVENT_TYPE table: Column Name Datatype Description USER_ID* NUMBERPS(19,0), NOT NULL Unique identifier for the Operation Console user that can view specific event types from the operational data store in Dashboard panels. The 10

Column Name Datatype Description identifier is generated and does not represent the login name for the user. EVENT_TYPE_ID* NUMBERPS(19,0), NOT NULL Unique identifier for the event type. * Primary key. DX_ODS_USER_SUPER Table The DX_ODS_USER_SUPER table contains information about B2B Data Exchange users that can access all of the information that the Dashboard panels display in the Operation Console. The following table describes the columns and datatypes of the DX_ODS_USER_SUPER table: Column Name Datatype Description USER_ID* NUMBERPS(19,0), NOT NULL Unique identifier for the Operation Console user that can access all of the information in the operational data store. This user is typically the B2B Data Exchange administrator. The identifier is generated and does not represent the login name for the user. * Primary key. DX_ODS_USER_SUPER Table 11

A P P E N D I X A Examples This appendix includes the following topic: SQL Query Examples, 12 SQL Query Examples You access and retrieve information from the operational data store with SQL queries according to the type of report or analysis that you want to perform. The following examples show SQL queries that run on the operational data store to retrieve information for different reports. Number of Events by Partner Gets the total number of events that B2B Data Exchange processed during a time frame and displays the results sorted by the related partner for the event. select topdata.partner_id, dp.partner_name, topdata.sum_count from (select facts.partner_id, sum(event_count) as SUM_COUNT from DX_ODS_EVENT_FACTS facts where to_timestamp('2012-01-01' '00:00:00','YYYY-MM-DD HH24:MI:SS') <= facts.timeslice and facts.timeslice <= to_timestamp('2012-06-01' '00:00:00','YYYY-MM-DD HH24:MI:SS') ) group by facts.partner_id order by SUM_COUNT desc ) topdata join DX_ODS_PARTNER dp on topdata.partner_id = dp.partner_id order by topdata.sum_count desc, dp.partner_name asc The query uses the to_timestamp parameter that defines the event processing start and end date and time. The following table shows an example of the query results: PARTNER_ID PARTNER_NAME SUM_COUNT 1000 My partner A 14781 1002 My partner C 12920 1001 My partner B 65044 12

Number of Events by Partner with Access Restrictions Gets the total number of events that B2B Data Exchange processed during a time frame and displays the results sorted by the related partner for the event. This query also applies access restrictions by indicating which B2B Data Exchange users can view the results. select topdata.partner_id, dp.partner_name, topdata.sum_count from (select facts.partner_id, sum(event_count) as SUM_COUNT from DX_ODS_EVENT_FACTS facts where to_timestamp('2012-01-01' '00:00:00','YYYY-MM-DD HH24:MI:SS') <= facts.timeslice and facts.timeslice <= to_timestamp('2012-06-01' '00:00:00','YYYY-MM-DD HH24:MI:SS') and (exists (select ua.access_id from DX_ODS_USER_ACCESS ua where ua.access_id = facts.access_id and ua.user_id = 999) or exists (select * from DX_ODS_USER_SUPER ua where ua.user_id = 999) ) group by facts.partner_id order by SUM_COUNT desc ) topdata join DX_ODS_PARTNER dp on topdata.partner_id = dp.partner_id order by topdata.sum_count desc, dp.partner_name asc The query uses the following parameters: to_timestamp. Defines the event processing start and end date and time. USER_ID. Numeric identifier for the B2B Data Exchange user that can view the events. In this example, you define a single user that can view the events. The following table shows an example of the query results: PARTNER_ID PARTNER_NAME SUM_COUNT 1000 My partner A 14781 1002 My partner C 12920 1001 My partner B 65044 Custom KPI Query with Event Attribute Value Gets the value of the ClaimValue event attribute and displays total claim value amount for the time frame grouped by the related partner for the event. DEFINE fromdate = to_timestamp('01-03-2012 00.00.00.00', 'DD-MM-YYYY HH24.MI.SS.FF'); DEFINE todate = to_timestamp('05-03-2012 23.59.59.00', 'DD-MM-YYYY HH24.MI.SS.FF'); DEFINE eventatt = "'ClaimValue'"; SELECT p.partner_id, NVL(VALUE_SUM, 0) AS VALUE_SUM FROM (SELECT p.partner_id, SUM(VALUE_SUM) AS VALUE_SUM FROM DX_ODS_CUSTOM_FACTS cf JOIN DX_ODS_EVENT_FACTS ef ON ef.row_id = cf.fact_row_id JOIN DX_ODS_PARTNER p ON ef.partner_id = p.partner_id JOIN DX_ODS_CUSTOM_FACTS_EAV cfe ON cf.event_attribute_id = cfe.id WHERE cf.timeslice >= &fromdate AND cf.timeslice < &todate GROUP BY p.partner_id ) SUM_ATT RIGHT JOIN DX_ODS_PARTNER p ON SUM_ATT.PARTNER_ID = p.partner_id The query uses the following parameters: fromdate. Defines the claim value processing start date and time. SQL Query Examples 13

todate. Defines the claim value processing end date and time. eventatt. Name of the event attribute from which to get the value. The following table shows an example of the query results: PARTNER_ID VALUE_SUM 1000 544 1002 1060 1001 865 14 Appendix A: Examples

I N D E X D DX_ODS_ACCOUNT description 7 DX_ODS_CUSTOM_FACTS description 6 DX_ODS_CUSTOM_FACTS_EAV description 8 DX_ODS_EVENT_FACTS description 5 DX_ODS_EVENT_STATUS description 8 DX_ODS_EVENT_TYPE description 8 DX_ODS_PARTNER description 9 DX_ODS_TIME_BREAKDOWN description 9 DX_ODS_USER_ACCESS description 10 DX_ODS_USER_EVENT_TYPE description 10 DX_ODS_USER_SUPER description 11 E examples SQL queries 12 O operational data store schema definition 1 relationships 3 structure 3 15