• Part1 – how to test odata service generated by CDS view
• Part2 –?what objects are automatically generated after you activate one CDS view
• Part3 –?how is view source in Eclipse converted to ABAP view in the backend
• Part4 –?how does annotation @OData.publish work
• Part5 –?how to create CDS view which supports navigation in OData service
• Part6 –?consume table function in CDS view
• Part7 –?unveil the secret of @ObjectModel.readOnly
• Part8 –?my summary of different approaches for annotation declaration and generation
• Part9 –?cube view and query view
• Part10 –?How does CDS view key user extensibility work in S4/HANA
• Part11 –?CDS view test double framework
• Part12 –?CDS view source code count tool
• Part13 –?CDS view authorization
• Part14 – this blog

Table of Content

• Note

• Test CDS views used in this blog

• How to do performance analysis using HANA studio planviz

• All weird performance behaviors get clarified

• 1. different product ID leads to greatly different performance result

• 2. select vs select distinct

• 3. Performance Gap between ST05 trace and the planViz opened in HANA Studio

I am a newbie in CDS performance area and frequently I meet with some “weird” performance behavior which makes me really confused. After I consulted with performance experts, it turns out that all those “strange” behavior has their root cause and could be well explained – no strange at all but just works as designed! I will share with my finding and learning with you through this blog.

Note

(1) This blog is written based on the prerequisite that the Netweaver is connected to a HANA DB whose version listed below:

(2) The test CDS views I used in this blog are NOT part of SAP standard delivery, so you could NOT find them in any SAP system.

Test CDS views used in this blog

The hierarchy of test CDS views used in this blog is listed below.
(1) CRMS4D_SALE_I and CRMS4D_SVPR_I are two item database tables which store the service order line item with type “Sales Item” and “Service Item”. The record numbers of these two tables are also listed in the picture.

(2) How the upper-most CDS view CRMS4V_C_ITEM_OPT2 is consumed:
According to different search criteria selected by end user, different SQL statement is populated dynamically:

(3) CRMS4V_I_ITEM_WO_STATUS_TEXT is just an union of two item database tables whose source code could be found from here.
(4) CRMS4V_C_ITEM_OPT_TXT_DELAY: in search result UI, the status description is displayed:

However in database table, the status value is modeled as checkbox,

on the other hand in CRM the status text is defined against status internal key with format I, so the CDS view CRMS4V_C_ITEM_OPT_TXT_DELAY is used to convert the boolean value to the expected internal I format.

(5) CRMS4V_C_ITEM_OPT2: consumed by ABAP code to serve the search request triggered from end UI.

How to do performance analysis using HANA studio planviz

(1) switch on ST05 trace.
(2) perform search against product id. I write a simple report to trigger the search from backend:

PARAMETERS: pid TYPE comm_product-product_id OBLIGATORY DEFAULT 'AB0000000042',maxhit TYPE int4 OBLIGATORY DEFAULT 100.DATA: lt_selection_parameter TYPE genilt_selection_parameter_tab,ls_query_parameters TYPE genilt_query_parameters,ls_selection_parameter TYPE genilt_selection_parameter. DATA(lo_core) = cl_crm_bol_core=>get_instance( ). lo_core->load_component_set( 'ONEORDER' ).ls_selection_parameter = VALUE #( attr_name = 'PRODUCT_ID' sign = 'I' option = 'EQ' low = pid ). APPEND ls_selection_parameter TO lt_selection_parameter.ls_query_parameters-max_hits = maxhit.cl_crm_order_timer=>start( ). TRY.DATA(lo_collection) = lo_core->dquery(iv_query_name = 'BTQSrvOrd'it_selection_parameters = lt_selection_parameteris_query_parameters = ls_query_parameters ).CATCH cx_root INTO DATA(cx_root).WRITE:/ cx_root->get_text( ).RETURN. ENDTRY. cl_crm_order_timer=>stop( 'Search by Product ID name' ). WRITE:/ |Number of Service Orders found: { lo_collection->size( ) }|.

(3) Execute the search and deactivate the trace. Now the CDS view read operation could be found from the trace.
Edit->Display Execution Plan -> For Recorded Statement:

(4) In HANA studio, open this plv file:

With plv file opened in HANA studio, all my previous doubt could be clarified.

All weird performance behaviors get clarified

With trace file available, all weird behavior could be well explained now.

(1) different product ID leads to greatly different performance result

For product ID 3D0000000002, only 0.1 second is used to finish the query, while for product ID AB0000000042, 231 seconds is consumed.

First open plv file for product ID 3D0000000002, the trace shows there are only 4123 records which fulfills the condition ORDERED_PROD = ‘3D0000000002’:

This is consistent with what I have found in SE16:

And for CRMS4D_SVPR_I, there are 20000 records whose product_id = ‘3D0000000002’. So after union, totally 4123 + 20000 = 24123 records are sent for upper process.

finally these 24123 records are used to get 100 distinct records as result.

Now let’s turn to the trace file for product ID AB0000000042.

A huge number of records (182,272,424 ) are fetched from database table:

So this search criteria does not make too much sense from business point of view – more search parameter is necessary to limit the records retrieved from database table for further process.

(2) select vs select distinct

Execute below two statements in HANA studio seperately:
case 1: SELECT distinct “OBJECT_ID” FROM “SAPQGS”.”CRMS4VCITEMODL2″ WHERE “PRODUCT_ID” = ‘AB0000000042’ limit 100
case 2: SELECT “OBJECT_ID” FROM “SAPQGS”.”CRMS4VCITEMODL2″ WHERE “PRODUCT_ID” = ‘AB0000000042’ limit 100
Mark the SQL statement in HANA studio, “Visualize Plan->Execute”:

The execution plan shows that the limit operation is done based on the huge number of records which leads to a comparatively poor performance – 1.1 seconds.

In the case 2 where the distinct keyword is removed, due to the optimization of HANA execution engine, the limit operation is performed immediately during the time when the records are retrieved from database table, so only these 100 records are sent to subsequent process, which ends up with a comparatively good performance. This behavior is so called “l(fā)imit push down”, which is not supported if distinct keyword is involved.

(3) Performance Gap between ST05 trace and the planViz opened in HANA Studio
I have once observed a “strange” behavior:
When I perform the query on my CDS view with two search parameters: product id and sold to party name, it will take on average 16~18 seconds to finish the query.

When I download the trace file, open and execute it in HANA studio,

Only around 2 second is consumed in HANA studio.

What makes this big difference when CDS view is consumed in ABAP and HANA layer with exactly the same SQL statement?
In fact the statement is not exactly the same at all.

In ABAP layer, the limit is specified dynamically – not fixed in the design time.

However in HANA studio, the limit 100 is hard coded.

When I change the dynamically specified limit operation in ABAP with fixed limit, the performance in ABAP is now consistent with HANA studio:

The reason is, it is possible for HANA optimizer as a kind of cost-based optimizer to apply PRELIMIT_BEFORE_JOIN rule to constant LIMIT operator during execution plan generation for the non-prepared statement. However due to technical reasons, it is not possible for parameterized LIMIT operator, since it is impossible for HANA optimizer to estimate the cost of the statement containing parameterized LIMIT operator and decide the optimal plan based on the estimated cost – the optimization could not be applied unless we are well aware of how many records could be pruned with LIMIT operator.

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