Analysing and Troubleshooting Performance Issues in SAP BusinessObjects BI Reports and Dashboards

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Analysing and Troubleshooting Performance
Issues in SAP BusinessObjects BI Reports and
Dashboards
Dan Goodinson
BI Brainz

1
In This Session
• Determine where time is spent during various workflows, get to the bottom of
performance complaints, and improve the experience for end users
• See which tools can be used to collect and analyze data and how to extract the
information needed, as well as how to interpret the information to determine where most
time is spent during workflows
• Delays can have unexpected root causes; see how to identify performance bottlenecks
with real-life examples, as well as how different components in the architectural workflow
can influence execution times

2
What We’ll Cover
• Best practice when measuring performance – controlled and consistent testing
• Performance analysis for some example workflows
• Tools to use to interpret the data, and accounting for time spent in each processing layer
• Wrap-up

3
Best Practice When Measuring Performance
• Architectural workflows within SAP BusinessObjects Enterprise can be complex
• When a performance concern is raised, it can be a challenge to identify the root cause
 Front end – inefficient report design?
 Are you using the best application for the job at hand?
 SAP BusinessObjects and database – insufficient capacity, incorrect configuration?
 Inefficient distribution of servers across cluster
 Inadequate or inefficient heap assignment
 Suboptimal configuration of services; missing SAP Notes and fixes
 Other factors
 Room to improve your database query?
 Network latency?
 End-user laptop configuration causing a bottleneck?

4
Best Practice When Measuring Performance (cont.)
• Front-end application (e.g., WebI) is frequently blamed since this is the only part users
interact with …
• Another frequently cited concern is lack of server resources
• These concerns can be easily investigated, verified, and addressed or put to rest

5
• Start by analyzing a workflow in isolation
 Where possible, take measurements in an environment where you can control the load
 If production-like resources are not available, be prepared to extrapolate
 If using tools to generate load, be sure to set realistic active concurrency
• Take multiple measurements at different times during the day
 Time may vary even in the same workflow – always take an average
 Don’t forget to account for system/database/client cache
• Do some geographical locations suffer more than others?
 Is number of users at that location a factor? Bandwidth issues?
 Are jobs running overnight which affect different time zones?
 How far is that location from your data? Network round trip/latency?

6
• Once you have consistent measurements, check all processing layers involved and
determine time spent within each layer
 How much time is spent in the database running the query?
 How much time is spent bringing data back from the data source?
 How much time is spent building each page and delivering it to the user?
• This will help identify which areas you may need to revisit:
 Content design: Are you trying to fit too much into one report or database query?
 Environment sizing or configuration: Are additional resources required?
 Jobs and data loading: Can the schedule be adjusted?
 Customization or call stack: Is it time to raise a support case?

7
What We’ll Cover
• Wrap-up

8
Analyzing Performance for Some Example Workflows
• Web Intelligence refresh via OLAP BICS to BW on SAP HANA
• Web Intelligence refresh via JDBC to SAP HANA sidecar
• AD or SAP logon into BI launchpad
• OLAP refresh via OLAP BICS in SAP BusinessObjects BI 4.1 to BW on SAP HANA

9
Web Intelligence Refresh via OLAP BICS to BW on SAP HANA
• Web Intelligence (WebI) is an ad hoc reporting application that allows end users to define
queries and design reports, or to modify existing reports depending on requirements
• To optimize report performance or find potential bottlenecks:
 Capture SAP BusinessObjects traces
 Use SAP Client Plug-in (see SAP Note 1861180)
 This tags each step with a unique correlation ID
 Measure front-end execution using, e.g., HttpWatch
 Record BW execution time using ST12
 Review BW stats with ST13 BIIPTOOLS

10
WebI Refresh via OLAP BICS to BW on SAP HANA
• Workflow starts when user clicks button in browser
 HttpWatch, Fiddler, etc., will accurately record start (and end) of execution
• Take several measurements without traces to establish a baseline
• With a consistent measurement, now perform same workflow but with traces enabled
 Be aware of overhead introduced by the traces – overhead can be significant!
 Consider overhead in your final assessment
• Gather and filter the traces based on tag generated by the SAP Client Plug-in
 This will enable you to follow the workflow through the traces
 Several trace analysis tools are provided by SAP
 E.g., FlexiLogReader (refer to SAP Knowledge Base Article 2203047)

11
WebI Refresh via OLAP BICS to BW on SAP HANA (cont.)
• In this example workflow, several servers will be called
 WebI Processing Server sees incoming call from HttpServletRequest
 We can follow the function call stack which will invoke other servers as required
 Calls to CMS (for security and core processing queries)
 Calls to Security Token Server (STS) to resolve single sign-on to BW
 DSLBridge (hosted in an APS) to fetch data from BW and to build transient universe
• Traces show the architecture involved – investigate time spent in each processing layer
• Add up time spent for all “HttpServletRequest” calls
 Does this match time measured by, e.g., HttpWatch, Fiddler, etc.?
 Small discrepancies to be expected
 Time recorded in front end, but not traced, is activity outside of SAP BusinessObjects
 E.g., time spent processing by client browser

12
• Use the following tools to capture information during the workflow:
 SAP Client Plug-in (set trace level to high)
 Can also activate traces via CMC, though transactions won’t be tagged
 HttpWatch or Fiddler (or equivalent) can measure front-end execution time
 Will also show the HTTP requests involved
 Use ST12 transaction in BW for user ID executing the query
 Only capture RFC calls (at this stage)

13
• After workflow has completed:
 Save the HttpWatch output as a .hwl file
 Stop recording with SAP Client Plug-in and collect relevant trace files
 BI launchpad
 WIPS
 DSLBridge
 CMS
 STS
 Stop ST12 and collect output, pick up statistics in ST13/BIIPTOOLS
 Both ST12 and BIIPTOOLS output can be saved to Excel for offline analysis

14
• For comprehensive traces, use SAP Client Plug-in on “high” setting
• But this creates a problem – activity will be logged on virtually all trace files (even those
not relevant to our workflow)
 “High” will pick up unimportant communication between internal components
 This background noise is not important to us
• To identify components and trace files of interest, first trace your workflow on “low”
 Then gather ALL trace files with .glf file extension
 Search all .glf files for correlation ID tag from businesstransaction.xml
 There is less “noise” – and we only find hits in files that are relevant to our workflow
• Now run traces again on “high” setting to record your workflow
 Only gather trace files identified as important in previous step (ignore the rest)

15
• Various tools can be used to search multiple trace files for the correlation ID tag
 E.g., Notepad++, UltraEdit, etc.
 Relevant* traces shown here:
 WIPS
 DSLBridge
 CMS
 STS
*BI Launchpad is also relevant,
though not shown here

16
Analysis of Trace Files
• When bringing the results together, you’ll see time spent on operations like:
 DPCommandsEx
 answerPrompts
 openDocumentMDP
 getSessionInfosEx
 getMap, getPages, getBlobInfo, etc.
• Follow incoming/outgoing function calls from Tomcat layer to WIPS, and from WIPS to
other services
• For activity outside SAP BusinessObjects (e.g., in BW), details of time spent can be found
using tools provided by that particular module/interface (e.g., ST12, ST13)
 SAP BusinessObjects traces can only record overall time for database activity
 Traces contain no detail/granularity on transactions inside the data source

17
Analysis of Trace Files (cont.)
• The illustration below brings together HttpWatch, traces, ST12, and ST13 data. Total
execution was measured as 12.822s, and I accounted for 12.109s in the breakdown:

18
Analysis of Trace Files — Breakdown of Findings
• Total execution time as seen by user was recorded using HttpWatch
 This comprises:
 BI4 Platform time
▪ CMS authorization (STS was used, because of SSO to BW)
▪ DSLBridge
▪ WebI Processing Server (WIPS)
 Data source time (BW on SAP HANA)
▪ Query execution time
▪ Calculation in database
 Transfer time between database and BI4 platform
 Time outside BI4 traces – e.g., processing time in client browser or laptop

19
Analysis of Trace Files — Breakdown of Findings (cont.)
• Here is where most time was spent at each stage:
 BI4 Platform time – captured in BI4 trace files
 CMS time (and STS time, since we are using SSO to BW)
▪ Security/authorization checks can be expensive
➢ Can we simplify security (e.g., reduce group membership) to improve response times?
 DSLBridge
▪ Query execution plan (QXP) and transient/lean universe generation
➢ More objects in the BEx query means more expensive QXP
➢ Challenge the business users – Do they really need/use ALL those objects?
➢ Can you satisfy business requirements using several smaller, leaner queries/reports?
 WebI processing
▪ Microcube population, rendering report for display, calculation of variables, etc.
➢ Check for expensive pagination functions – e.g., GetPages (for “page number x of y”)
➢ Can any report-level calculations be push down to the database?

20
• Here is where most time was spent at each stage: (cont.)
 Data source time (in our case BW on SAP HANA)
 Not captured in BI4 traces – this is found in ST12 and ST13 BIIPTOOLS output
 Query execution time
▪ Can you add more mandatory prompts to restrict the dataset?
 OLAP calculations
▪ Can any more calculations be pushed down to HANA?
 OLAP processing: data is sorted and formatted according to query design
 Receive data from OLAP processor and put into transfer structure in BICS interface
 Data transfer from BW to BI Layer
 DSL (WebI) BICS time: data transfer and preparation for WebI usage

21
• Don’t forget to account for time not recorded in BI4 traces
 Execution time in HttpWatch always adds up to more than recorded in traces
 A small discrepancy is to be expected
 Includes initial/final communication between client and BI4 platform
 Also includes any client-side processing time
▪ E.g., work done by browser, Java, etc.
 Anything more than a couple of seconds warrants further investigation

22
Analysis of Trace Files — Points to Consider
• Is the poor performance an intermittent problem?
 Data loading can affect data manager time
 Taking measurements throughout the day may help you pinpoint this
 Refer to earlier section on best practice in testing methodology
• Are clients making full use of all available caching mechanisms?
 Check content design for functions which cause cache to be ignored!
 Refer to http://scn.sap.com/docs/DOC-58532
 See section “Do not (accidentally) disable the cache mechanism of Web Intelligence”

23
Analysis of Trace Files — Points to Consider (cont.)
• Metadata transmission can be expensive
 This may be influenced by content design
 E.g., transient/lean universe generation – Can you reduce number of key fields
and/or characteristics?
 Too many prompt responses can result in high send time in the RFC record
 This may also be influenced by BW configuration
 Activate compression via BASXML flag for the relevant BICS calls affected (e.g.,
BISC_PROV_GET_INITIAL_STATE)
▪ See SAP Note 1733726
▪ Available since:
➢ BW 7.30 SP09
➢ BW 7.31 SP06
➢ BW 7.40 SP11

24

25
Web Intelligence Refresh via JDBC to SAP HANA Sidecar
• The methodology we previously described applies here, too
 However, data fetch for JDBC is now done by the WIPS itself (INPROC)
 WIPS doesn’t outsource to a “third party” to communicate with the data source
 In previous workflow, data fetch was handled by DSLBridge
 Connection Server (CS) would be used for relational data sources
 Communication with data source is handled by the CS JNI Engine inside the WIPS
 To trace activity in the JNI call stack we must update the cs.cfg file

26
Web Intelligence Refresh via JDBC to SAP HANA Sidecar (cont.)
• cs.cfg file resides at following location:
<boeinstalldir>/dataAccess/connectionServer
 Update the following to enable tracing:
<JavaVM>
<Options>
<Option>-Dtracelog.configfile=<yourFolder>/BO_trace.ini</Option>
<Option>-Dtracelog.logdir=<yourFolder></Option>
<Option>-Dtracelog.name=CSJNIEngine</Option>
</Options>
• If SSO is used, then JDBC will either use XML-based SAML, or Kerberos AD
• Time spent will show in the WIPS and STS output

27
Web Intelligence Refresh via JDBC to SAP HANA Sidecar (cont.)
• The output will be captured in the CSJNIEngine_trace file
• Output looks something like this:
13:46:01.479|+0000|Information| |==| | |CSJNIEngine|14160|1471|Thread-1459
|{|431|4|3|4|BIlaunchpad.WebApp|BOESERVER|webiserver_ACC_PROC_2.WebIntelligenceProcessingServer.proces
sDPCommandsEx|localhost:14160:13844.107885:1|CSJNI.JNIbeforeIncomingCall| BOESERVER START OUTGOING
CALL execute: FROM [CSJNI.JNIbeforeIncomingCall# BOESERVER]-
13:46:01.503|+0000|Information| |==| | |CSJNIEngine|14160|1471|Thread-1459 |}|431|2|3|2|BIlaunchpad.WebApp|
BOESERVER |webiserver_ACC_PROC_2.WebIntelligenceProcessingServer.processDPCommandsEx| BOESERVER
|CSJNI.JNIbeforeIncomingCall| BOESERVER ||CS::JAVA::fetch: 00.025-
13:46:01.505|+0000|Error| |==|E| |CSJNIEngine|14160|1471|Thread-1459 |}|431|3|3|1|BIlaunchpad.WebApp|
BOESERVER |webiserver_ACC_PROC_2.WebIntelligenceProcessingServer.processDPCommandsEx| BOESERVER
|CSJNI.JNIbeforeIncomingCall| BOESERVER ||END INCOMING CALL SPENT [04.029] FROM
[webiserver_ACC_PROC_2.WebIntelligenceProcessingServer.processDPCommandsEx#] TO
[CSJNI.JNIbeforeIncomingCall# BOESERVER]

28

29
AD or SAP Logon into BI Launchpad
• Each authentication type has its own plug-in
 There are client-side SDK plug-ins and server-side (CMS) plug-ins
 Client tools may also use web services, etc.
• User logon is initiated by client-side plug-in
 Handshake occurs between the client-side and the CMS plug-ins
 On successful handshake, the CMS permits logon
• Plug-ins may need to perform different functions, depending on authentication type
 Regardless of authentication type, CMS security sub-system performs the following:
 Ensures user count does not exceed the maximum allowed for current license key
 Creates a session InfoObject and increments the license count
 Creates the logon token InfoObject (a unique string instead of username/password)
 Optionally creates the user InfoObject if it does not already exist
▪ This depends on settings in Authentication tab in CMC

30
AD or SAP Logon into BI Launchpad (cont.)
• Enterprise authentication logon requires the secEnterprise client-side plug-in
 Plug-in encrypts the username and password
 Plug-in stores this in a security buffer, and hands the security buffer to CMS
 CMS security sub-system calls the object sub-system to verify user InfoObject exists
and password matches
 If these criteria are satisfied and security allows, the user is allowed to log on
• AD authentication logon requires the secWinAD client-side plug-in
 Queries the Domain Controller (DC) to authenticate the user
 On successful authentication, a token from DC gets passed to the server-side
secWinAD plug-in on CMS
 Server-side plug-in verifies group membership by searching through group graph
 Group graph includes information about User Groups and how they relate to each other

31
• Use case scenario: users report very slow into BI Platform
 With use of a viewer like HttpWatch, monitor HTTP(S) traffic on the client
 For each call you can see execution time in seconds, which protocol used, bytes
received, and if static content is read from the cache
 In the example above, a particular call stands out: Vintela request
 https://BOEserver:8443/BOE/portal/1502261134/BIPCoreWeb/VintelaServlet?vint_bac
kURL=%2FInfoView%2Flogon.faces&vint_cms=%40bi4-CMS

32
• Use SAP Client Plug-in to trace the workflow
 We see one call taking nearly 10s to get a response
 Make use of network analysis tool (e.g., Wireshark) to inspect traffic during that call
 In this real-life example, a network utility (nbtstat) revealed a NetBIOS packet querying for a
computer name
 Problem was caused by poor server-side WINS configuration, and initial NetBIOS request timing out for
each of the 3 NICs before eventually coming back

33
• WINS determines the IP address associated with a particular network computer
 After disabling WINS on all NICs, nbtstat failed immediately – did not expire/time out
 With no NetBIOS queries left pending, SSO logon was no longer held up
• WINS – NetBIOS over TCP/IP – LMHOSTS are mainly for legacy NetBIOS-based apps
• SAP BusinessObjects does not require NetBIOS for authentication, and name resolution
should always use DNS

34

35
OLAP Refresh via OLAP BICS in SAP BusinessObjects BI4.1 to
BW on SAP HANA
• In this section, we investigate performance of Analysis, edition for OLAP (aOLAP)
• aOLAP is designed for query and analysis rather than reporting
 Works against multi-dimensional data sources
 Limited formatting capability – normally used for generating tabular “workspaces”
• The multi-dimensional analysis server (MDAS) handles aOLAP workspaces
 MDAS is hosted by an Adaptive Processing Server (APS)
• For a typical aOLAP refresh via BICS to BW on SAP HANA, we see interaction between
various layers and servers using same methodology as previously discussed
 For process operations outside the BI4 platform, use BW statistics, ST12, etc.
 BW statistics and ST12 provide extra detail that can’t be recorded in the BI4 traces

36
OLAP Refresh via OLAP BICS in SAP BusinessObjects BI 4.1 to
BW on SAP HANA (cont.)
• Total execution time (e.g., from HttpWatch) will comprise:
 CMS time (and STS time, if using SSO to BW)
 MDAS function calls for query execution (BICS calls)
 Database processing:
 HANA DB retrieval times (depending on how much data the query asks for)
 OLAP Calculations (most calculations will be processed in OLAP)
▪ Check possibility to push down to HANA
 OLAP processing time
 BICS interface (BI/BW)
 Data transfer from BW to BI Layer
 Display in BI launchpad and client rendering time

37
• BW back-end statistics for aOLAP workflows can be generated by enabling BICS profiling
 This is controlled via a properties file on the BOE server running the MDAS service:
<BOE install dir>javapjsservicesMDASresourcescombusinessobjectsmultidimensionalservicesmdas.properties
• If multidimensional.services.bics.profiling.enabled is set to true:
 OLAP statistics in table RSDDSTAT_OLAP are generated
 Data Manager statistics in table RSDDSTAT_DM are generated
• This means a RSBOLAP_BICS_STATISTIC_INFO function for almost every activity
 This can have a significant impact on aOLAP performance as experienced by
end users!
 E.g., time taken to display a prompt to the user: we measured 11.5s with and 5s without profiling
 E.g., time taken to execute a data fetch: we measured 45s with and 32s without profiling

38
• When a BEx query is connected to multiple sheets in an aOLAP workspace, check that
aOLAP is only loading the active tab
• MDAS may perform the loadQuery for ALL tabs, having huge impact on response times
• Below is an example of a workspace containing 12 sheets:
 There is only one getRepresentation call
 But the MDAS issues a loadQuery for all 11 (inactive) sheets too!
 SAP Development Group provided code optimization via ADAPT01730767 to address
the overhead in the call stack when using multi-tabs

39
Analysis of Trace Files
• Use SAP tools (e.g., GLF Viewer, FlexiLogReader) to review trace files
• Filter by correlation ID from businesstransaction.xml
 This removes “background noise”
 You can now focus on activity from your workflow
• Use indents and/or color to highlight each function call
 Can now easily find start/end of function calls
 Makes it easy to see how long each step takes
• Add threadID column
 Can now see and filter by individual threads
• Scan transaction times, and look for “jumps”
 This is when activity is happening outside the traces
 E.g., when activity is happening in data source

40
Performance Impact of “Lazy Loading” #1
• aOLAP can be configured to always load queries when workspace is opened, or only load
queries when explicitly requested by user interaction
 Only loading when asked is referred to by SAP as “lazy loading”
• To enable lazy loading, make a configuration change in the mdaclient.properties file on
the server running Tomcat:
 #Configure whether queries are lazy loaded when first accessed to retrieve data or
preloaded when the workspace is opened.#query.lazyload=false

41
Performance Impact of “Lazy Loading” #2
• There is another configuration setting on the MDAS stack that SAP refers to as “lazy
loading”
 Lazy loading also means to prevent pre-load of metadata from BW with MDAS
 Controls whether metadata hierarchies and attributes are pre-loaded all at once or are
lazy loaded when their dimension is expanded by the user
 To enable pre-load of metadata, make a configuration change in mdas.properties
 Multidimensional.services.preload.metadata=true
• Both lazy loading options should be assessed for potential performance gains

42
Other Performance Considerations
• If you take an aOLAP workspace from BI4.0 and open it in BI4.1, an in-situ upgrade of the
internal workspace takes place to allow for new capabilities delivered with BI4.1
 Upgrade causes several seconds delay when first opening the workspace in BI4.1
 Happens each time the workspace is opened in BI4.1 until upgraded version is saved
 After an upgrade, ask users to open and then save the workspace
 The in-situ upgrade will not happen again

43
Other Performance Considerations (cont.)
• Maximum Member Selector Size and Member Selector Cache Limit tuning
• Maximum Member Selector Size
 Maximum Member Selector Size is set to 100,000 by default and acts as a safety
belt limit
 Regardless of how many members exist, we never fetch more than this number
of members
 E.g., if set to 500, then in the first SQL statement you will find out if there are more
than 500 entries
• Member Selector Cache Limit
 If Maximum Member Selector Size is less than or equal to Member Selector Cache Limit
then members will be cached in MDAS for faster access on future queries
 This is only applicable in flattened hierarchies

44
What We’ll Cover
• Wrap-up

45
Tools to Use to Interpret the Data, and Accounting for Time Spent
in Each Processing Layer
• The following tools were used to aid the analysis exercise for the examples outlined in
this presentation:
 SAP Client Plug-in: a BI4 trace utility provided by SAP (SAP Article 1861180)
 Wireshark: freely available network analyzer
 HttpWatch, Fiddler: freely available HTTP viewer and web debugger
 GLF Viewer: a log file viewer provided by SAP
 This has been superseded by FlexiLogReader (SAP KB Article 2203047)
 Notepad++: a freely available editor that supports several programming languages
 nbtstat: diagnostic tool for NetBIOS over TCP/IP (part of the Windows OS)

46
What We’ll Cover
• Wrap-up

47
Where to Find More Information
• Toby Johnston, “BI Platform E2E tracing with Solution Manager E2E Trace Analysis” (SCN, September 2013).
 http://wiki.scn.sap.com/wiki/display/BOBJ/BI+Platform+E2E+tracing+with+Solution+Manager+E2E+Trace+Analysis
• Matthew Shaw, “Standard BI Platform log tracing” (SCN, January 2015).
 http://wiki.scn.sap.com/wiki/display/BOBJ/Standard+BI+Platform+log+tracing
• SAP Not 2103024 – *** MASTER NOTE *** How To Trace Business Objects 4.0 and 4.1 (Servers and Clients)
 http://service.sap.com/sap/support/notes/2103024 *
• Toby Johnston, “Wily Introscope for BI Platform 4.0: Why it is important and how to get started” (SCN, August 2012).
 http://scn.sap.com/community/bi-platform/remote-supportability/blog/2012/08/06/an-administrators-match-made-in-
heaven-extend-your-bi-platform-40-monitoring-capabilities-with-wily-introscope
• Helena Chong, “Tutorials – SAP Business Intelligence Platform 4.x” (SCN, April 2017).
 http://scn.sap.com/docs/DOC-8292
 Process flows for SAP BusinessObjects 4.x
• Appendix 1: Anatomy of the Web Intelligence Processing Server
* Requires login credentials to the SAP Service Marketplace

48
7 Key Points to Take Home
• Simplify and isolate your workflow, and get a consistent baseline measurement
• Examine which processing layers are involved, and understand how the various layers
interact with each other
• Use the best tools to gather traces for the problem workflow and simplify your analysis
• Break down the total runtime into different processing layers to see where the holdup is
• Don’t forget that delays can occur outside the traces – e.g., in end-user laptop!
• Verify if active concurrency, data volumes, or core processing play a factor in
performance degradation
• If appropriate, then embark on a tuning exercise based on your findings
 Challenge user requirements – outline/demonstrate benefit of a smaller BEx query!
 Review server resources, consider distribution and/or configuration changes
 If necessary, raise a Support case to highlight inefficient/incorrect product behavior

49
Your Turn!
How to contact me:
Dan Goodinson
dan.goodinson@bibrainz.com
Please remember to complete your session evaluation

50
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