MicroStrategy VLDB properties with Hive

Recommended VLDB Properties for use of MicroStrategy 9 with Hive 0.7x

The recommended VLDB optimizations for Hive 0.7x are listed below. These values are set by default when the "Hive 0.7x" database object is used (set at Configuration Managers > Database Instances > Database Instance > Database connection type)

Selected Default VLDB Properties for Hive 0.7x

VLDB Category	VLDB Property Setting	Value
Tables	Fallback Table Type	Permanent Table
Tables	Maximum SQL Passes Before FallBack	0 (no threshold)
Tables	Maximum Tables in FROM Clause Before FallBack	0 (no threshold)
Tables	Drop Temp Table Method	Drop after final pass
Tables	Table Creation Type	Implicit Table
Query Optimizations	Sub Query Type	Use Temporary Table, falling back to IN (SELECT COL) for correlated subquery
Joins	Full Outer Join Support	Support
Select/Insert	Distinct/Group By option (when no aggregation and not table key)	Use GROUP BY
Query Optimizations	SQL Global Optimization	Level 4: Level 2 + Merge All Passes with Different Where
Query Optimizations	Set Operator Optimization	Disabled
Joins	Join Type	Join 92
Select/Insert	UNION Multiple Insert	Use UNION

Comments

Case functions Microstrategy

Ca se functions Microstrategy Case functions return specified data in a SQL query based on the evaluation of user-defined conditions. In general, a user specifies a list of conditions and corresponding return values. Case This function evaluates multiple expressions until a condition is determined to be true, then returns a corresponding value. If all conditions are false, a default value is returned. Case can be used for categorizing data based on multiple conditions. This is a single-value function. Syntax Case ( Condition1 , ReturnValue1 , Condition2 , ReturnValue2 ,..., DefaultValue ) Example Case(([Total Revenue] < 300000), 0, ([Total Revenue] < 600000), 1, 2) sum(Case (Day@DESC in (“Sat”,”Sun”), Sales, 0) {~+} Sum(Case(Category@DESC In("Books","Electronics"),Revenue,0)){~+} CaseV (case vector) CaseV evaluates a single metric and returns different values according to the results. It can be used to perfo...

Control the display of null and zero metric values

Show Control the display of null and zero metric values in a grid report You can determine how to display or hide rows and columns in a grid report that consist only of null or zero metric values. You can have MicroStrategy hide the rows and columns in the following ways: Hide rows and columns that consist only of null metric values Hide rows and columns that consist only of zero metric values Hide rows and columns that consist only of null or zero metric values (default) Once you have defined how MicroStrategy hides null and zero metric values in the grid, you can quickly show or hide the grid using the Hide Nulls/Zeros option in the Data menu, as described below, or by clicking the Hide Nulls/Zeros icon in the Data toolbar. To determine how null and zero metric values are displayed or hidden in a grid report Open the report in Edit mode. From the Tools menu, select Report Options . The Report Options...

Microstrategy Report Pre and Post Statements

Microstrategy Report Pre and Post Statements Report Post Statement The Report Post Statement settings insert custom SQL statements after the final SELECT statement but before the DROP statements. The settings are numbered 1-5. Each text string entered in Report Post Statement 1 through Report Post Statement 4 is executed separately as a single statement. To execute more than five statements, insert multiple statements in Report Post Statement 5, separating each statement with a semicolon (;). The SQL Engine breaks them into individual statements at the semicolons and executes each separately. The custom SQL is applied to every intermediate table or view. Report Pre Statement The Report Pre Statement settings insert custom SQL statements at the beginning of the report SQL. The settings are numbered 1-5. Each text string entered in Report Pre Statement 1 through Report Pre Statement 4 is executed separately as a single statement. To execute more than five statem...

Disable data blending in MicroStrategy

Disable data blending in MicroStrategy Starting in MicroStrategy 9.4 data blending was made available for documents and dashboards. This permits grid, graph and widget objects to source data from multiple different datasets at the same time. This is available under the analytical engine VLDB properties inside of project configuration. The property is named "document grids from multiple datasets" and defaults to enabled but can be set to disabled. Below are the steps to enable/disable the settings of data blending: 1. Go to project configuration by right clicking on specific project(You need admin rights to do this). 2. In the Project configuration windows as shown below select Configure under Project level VLDB settings section. 3. Now it will open the VLDB settings window, select + on " Analytical Engine Settings " and then click on " Document Grids from multiple datasets " option. You will be presented with two...

MicroStrategy URL API Parameters

MicroStrategy URL Structure The following table summarizes the root URL structure used for every request to MicroStrategy Web. Environment Main Application URL Administration URL J2EE http://webserver/MicroStrategy/servlet/mstrWeb http://webserver/MicroStrategy/servlet/mstrWebAdmin .NET http://webserver/MicroStrategy/asp/Main.aspx http://webserver/MicroStrategy/asp/Admin.aspx Every request sent to MicroStrategy Web calls a central controller. Parameters are appended to Main.aspx or mstrWeb (in a .NET and J2EE environment, respectively) to indicate to the controller how the request should be internally forwarded and handled. The following examples show a URL for accessing a MicroStrategy folder when the user does not have an existing session. The URL contains not only the parameters needed to connect to MicroStrategy Web, but also the parameters needed to log on and create a session. J2EE environment: <a href="http:...

Apply or Pass-through functions in Microstrategy

Ap ply (Pass-Through) functions MSTR Apply functions provide access to functions or syntactic constructs that are not standard in MicroStrategy but are provided by various RDBMS systems.. Syntax common to Apply functions Apply Function Name ("expression with placeholders", Arg1, Arg2, Arg3, …ArgN) where: Apply Function Name – is a generic name used for the predefined pass-through functions described above expression with placeholders – is the string describing the actual expression or syntax that the engine uses while generating the SQL and which is sent to the RDBMS. The placeholders are represented by #0, #1, and so on. "#" is a reserved character for MicroStrategy. Arg – is an argument that replaces the parameter markers in the pattern. Arg1 replaces #0, Arg2 replaces #1, and so on. There are five pre-defined Apply functions to replace regular, predefined functions of the same type. For more details, cli...

Multi-Table Data Import(MTDI) from one or more supported data sources

Multi-Table Data Import(MTDI) from one or more supported data sources In MicroStrategy Analytics Enterprise Web 10 onewards, users can now simultaneously import two or more tables from one or more supported data sources, this feature is called Multi-Table Data Import (MTDI) which has been renamed as Super Cubes in MSTR 2019 (Does it sound like multisourcing for all the users without admin help?) Currently, all connectors in MicroStrategy Web 10 except " OLAP " and " Search Engine Indices " support Multi-Table Data Import. Users are able to add multiple tables/files when doing data import from single connector, as shown below: Users are also able to combine multiple tables/files from different sources and store them into one single Intelligent Cube, as shown below:

Components of the MicroStrategy Engine

Components of the MicroStrategy Engine The MicroStrategy Engine consists of three engines: • SQL Engine • Query Engine • Analytical Engine These individual engines work together to fulfill report requests submitted by MicroStrategy that can be resolved by pure SQL alone. The SQL Engine is responsible for generating optimized SQL and producing result sets that can be resolved by pure SQL alone. The Query Engine is responsible for executing the SQL generated by the SQL Engine. The Analytical Engine is responsible for performing any calculation that cannot be resolved with SQL alone.

mstrio – Python and R wrappers for the MicroStrategy

mstrio – Python and R wrappers for the MicroStrategy REST APIs Connecting to MicroStrategy Create a connection to the Intelligence Server using Connection() and  connect() in Python and R, respectively. Required arguments for the   Connection()  function are the URL for the MicroStrategy REST API server, MicroStrategy Intelligence Server username and password, as well as the MicroStrategy project name. By default, the  connect()  function anticipates your MicroStrategy Intelligence Server username and password. LDAP authentication is also supported. Use the optional argument  login_mode=16  in the  connect()  function for LDAP authentication. Extract data from cubes and reports To extract data from MicroStrategy cubes and reports, use the get_cube()  and  get_report() functions. Use...

The logical table size calculation in Microstrategy

The logical table size calculation in Microstrategy The logical table size is an integer number that represents the granularity or level of aggregation of a particular table. It is called 'logical' because it is not related to the physical size of the tables (number of rows). It is calculated according to the attribute IDs that are present in the table and their level in the system hierarchy. Even though, the number does not reveal the actual number of rows in the table, it is an accurate way of measuring a table size without having to access its contents. MicroStrategy Engine utilizes an algorithm based on attribute keys to calculate the Logical Table Size (LTS): Given the following tables: The algorithm that calculates the table sizes performs the following steps: Calculate the number of levels per hierarchy: Hierarchy 1: 3 Hierarchy 2: 4 Calculate each attribute individual weight according to the level in the hierarchy (level in hierarchy/number of ...

Microstrategy Analytics

Search This Blog