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For better performance, it’s also important to understand the characteristics of SAP HANA and the techniques that can be applied to improve the execution time, as well as the analysis tools you can use to investigate query performance issues.HDBODBC Driver is within the installation files of HANA Client h. Complete the entries Data Source Name HANAODBC (suggested) Description HANA ODBC (suggested) Server Port Select ConnectTo fully benefit from the capabilities of SAP HANA, the first step is to optimize your queries. Value secs is the interval (in seconds) at which the capture job creates checkpoints.Select the System DSN tab Select Add Select HDBODBC for 64 bit machines Select HDBODC32 for 32 bit machines Select Finish. Now create ODBC connection Go to Administrative Tools and click on 'Data Sources (ODBC)' Go to 'System DSN' Tab Click Add, Select HDBODBC as below and click finish Fill all the required information and click Connect Here very important toCheckpointing frequency in seconds for long running transactions, so the capture job can recover quickly when it restarts. First you have to download hdbclientwindows 64 bit setup from SAP download site And install.
Value 0 means no checkpoints are written.The SAP HANA external account allows you to connect your Campaign instance to your SAP HANA external database. Key in your username and password to The defaultcheckpoint frequency is 300 seconds (5 minutes). After inserting all necessary details, click Connect Page 3 of 13 k. Key in your Server and Port of your SAP HANA Database j.
However, if users keep transactions open for 10 minutes, then those transactions will be saved but shorter-lived ones in the same period will not.The frequency with which capture checkpoints are written is relative to the capture jobs own clock, but it decides whether a transaction has been running long enough to be checkpointed by comparing the timestamps in its DBMS logging records. For example, if the checkpoint frequency is each 5 minutes but users always do an SQL commit within 4 minutes then checkpoints will never be written. If a transaction continues to make changes for a long period then successive checkpoints will not rewrite its same changes each time instead the checkpoint will only write new changes for that transaction for older changes it will reuse files written by earlier checkpoints.Checkpoints are written only for long-running transactions. Archive files).The checkpoints are written into HVR_CONFIG/capckp/ hub/chn directory. To configure the SAP Hana external account, you must specify: Type: SAP Hana.After HDBODBC configuration is created as illustrated in referenced tutorial, you can build your connection string as follows referencing the System DSN name with DSN argument 'DSNKodyazHANADb SERVERNODEmyhdb.kodyaz.sap.biz:30815 UIDA00011462 PWDmyPassword+ DATABASENAMEK0D'Without checkpoints, capture jobs must rewind back to the start of the oldest open transaction, which can take a long time and may require access too many old DBMS log files (e.g. Click New and select External database as Type.
This method is generally faster and more efficient than the SQL mode. DIRECT default: Reads transaction log records directly from the DBMS log file using file I/O. For the list of supported location types, see Capture changes from location in Capabilities. When capturing changes from an Oracle RAC, the checkpoint files should be stored on the hub server because the directory on the remote location where the capture job would otherwise write checkpoints may not be shared inside the RAC cluster, so it may not be available when the capture job restarts.For both the storage locations, the checkpoint files are saved in HVR_CONFIG/capckp/ directory.When the capture job is restarted and if it cannot find the most recent checkpoint files (perhaps the contents of that directory have been lost during a failover) then it will write a warning and rewind back to the start of the oldest open transaction.Method of reading/capturing changes from the DBMS log file.This property is supported only for location types from which HVR can capture changes.
The disadvantages of the SQL method is that it is slower than the DIRECT method and exposes additional load on the source database.For SQL Server, this capture method supports reduced permission models but it may require incomplete row augmenting.This capture method is supported only for certain location types. The advantage of this method is that it reads change data over an SQL connection and does not require an HVR agent to be installed on the source database server. SQL ( default for MySQL): Reads transaction log records using a special SQL function. For the list of supported location types, see Direct access to logs on a file system in Capabilities.
Hdbodbc Archive Once Per
The capture job still needs an SQL connection to the database for accessing dictionary tables, but this can be a regular connection.Replication in this capture method can have longer delays in comparison with the 'online' mode.For Oracle, to control the delays it is possible to force Oracle to issue an archive once per predefined period of time.For Oracle RAC systems, delays are defined by the slowest or the least busy node. This allows the HVR process to reside on a different server than the Oracle DBMS or SQL Server and read changes from files that are sent to it by some remote file copy mechanism (e.g. The disadvantages of the LOGMINER method is that it is slower than the DIRECT method and exposes additional load on the source database.This capture method is supported only for Oracle.ARCHIVE_ONLY: Reads data from the archived redo files in directory defined using Archive_Log_Pathproperty and do not read anything from online redo files or the 'primary' archive destination. LOGMINER: Reads data using Oracle's LogMiner. The advantage of this method is that it reads change data over an SQL connection and does not require an HVR agent to be installed on the source database server.
CHANGE: Each Kafka message is a bundle containing two rows (a 'before update' and an 'after update' row) whereas messages for other changes (e.g. Note that this mode causes a key-update to be sent as multiple Kafka messages (first a 'before update' with hvr_op 3, and then an 'after update' with hvr_op 2). ROW: Each Kafka message contains a single row this mode does not support bundling of multiple rows into a single message. Regardless of the file format chosen, each Kafka message contains one row by default. For the list of supported location types, see Capture from Archive log files only in Capabilities.DB_TRIGGER: Capture changes through DBMS triggers generated by HVR, instead of using log-based capture.Number of messages written (bundled) into single Kafka message.
TRANSACTION: During replication, each message contains all rows in the original captured transaction. Therefore in that situation, this behavior is the same as mode ROW. During refresh there is no concept of changes, so each row is put into a single message.
CAP_JOB default: This method is used to indicate that the capture job regularly calls sp_repldone to unconditionally release the hold of the truncation point for replication. Bundled messages simply consist of the contents of several single-row messages concatenated together. THRESHOLD: Each Kafka message is bundled with rows until it exceeds the message bundling threshold (see property Kafka_Message_Bundling_Threshold).Note that Confluent's Kafka Connect only allows certain message formats and does not allow any message bundling, therefore Kafka_Message_Bundling must either be undefined or set to ROW. During refresh, all changes are treated as if they are from a single capture transaction so this mode behaves the same as bundling mode THRESHOLD.
This value is not compatible with multi-capture and does not allow for coexistence with a third party replication solution. Only part of the transaction log that has already been processed (captured) is marked for truncation (this is different from the CAP_JOB mode, where all records in the transaction log are marked for truncation, including those that have not been captured yet).
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