How to use HDB_SQLDBC - Trace SQLDBC pour SAP HANA

SAP Transaction Code - Details

• Transaction Code: HDB_SQLDBC

  Description: Trace SQLDBC pour SAP HANA

  Release: S/4HANA and ECC 6

• • Program: RSHDB_SQLDBC_CONS

    Screen: 1000

    Authorization Object:

  • Development Package: SDBA_HDB

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: HDB_SQLDBC - Trace SQLDBC pour SAP HANA

  
  Overview:
  HDB_SQLDBC is a SAP transaction code used to enable the SQLDBC trace for HANA. This trace is used to monitor and analyze the performance of SQL statements executed in HANA. It can be used to identify and troubleshoot any issues related to the performance of SQL statements. 
  
  Functionality:
  The HDB_SQLDBC transaction code enables the SQLDBC trace for HANA. This trace records all SQL statements that are executed in HANA, including their execution time, parameters, and other details. It also records any errors that occur during the execution of the SQL statement. The trace can be used to identify and troubleshoot any performance issues related to the execution of SQL statements in HANA. 
  
  Step-by-step How to Use:
  1. Log into your SAP system and enter the HDB_SQLDBC transaction code. 
  2. Select the “Enable Trace” option from the menu. 
  3. Enter a name for the trace file and select a location where it should be saved. 
  4. Select the “Start Trace” option from the menu to start recording the SQL statements that are executed in HANA. 
  5. When you are done recording, select the “Stop Trace” option from the menu to stop recording and save the trace file. 
  6. The trace file can then be analyzed to identify any performance issues related to the execution of SQL statements in HANA. 
  
  Other Recommendations:
  It is recommended that you use this transaction code with caution as it can generate large amounts of data which can affect system performance if not managed properly. It is also recommended that you use this transaction code only when necessary as it can generate large amounts of data which can be difficult to analyze and interpret.