We have moved to www.dataGenX.net, Keep Learning with us.

Wednesday, October 10, 2012

Environment Variable for Data Stage Best Practices and Performance Tuning



DataStage provides a number of environment variables to control how jobs operate on a UNIX system.  In addition to providing required information, environment variables can be used to enable or disable various DataStage features, and to tune performance settings. 


Data Stage Environment Variable Settings for All Jobs


DataStage recommends the following environment variable settings for all Enterprise Edition jobs. These settings can be made at the project level, or may be set on an individual basis within the properties for each job.


 Environment Variable Settings For All Jobs


Environment Variable
Setting
Description
$APT_CONFIG_FILE
filepath
Specifies the full pathname to the EE configuration file.
$APT_DUMP_SCORE

1
Outputs EE score dump to the DataStage job log, providing detailed information about actual job flow including operators, processes, and datasets. Extremely useful for understanding how a job actually ran in the environment. (see section 10.1 Reading a Score Dump)
$OSH_ECHO
1
Includes a copy of the generated osh in the job’s DataStage log.  Starting with v7, this option is enabled when “Generated OSH visible for Parallel jobs in ALL projects” option is enabled in DataStage Administrator.
$APT_RECORD_COUNTS
1
Outputs record counts to the DataStage job log as each operator completes processing. The count is per operator per partition.
$APT_PM_SHOW_PIDS
1
Places entries in DataStage job log showing UNIX process ID (PID) for each process started by a job. Does not report PIDs of DataStage “phantom” processes started by Server shared containers.
$APT_BUFFER_MAXIMUM_TIMEOUT
1
Maximum buffer delay in seconds
$APT_THIN_SCORE
(DataStage 7.0 and earlier)
1
Only needed for DataStage v7.0 and earlier. Setting this environment variable significantly reduces memory usage for very large (>100 operator) jobs.


Additional Environment Variable Settings

DataStage recommends setting the following environment variables on an as-needed basis. These variables can be used to tune the performance of a particular job flow, to assist in debugging, and to change the default behavior of specific EE stages. 
NOTE: The environment variable settings in this section are only examples. Set values that are optimal to your environment.

 Sequential File Stage Environment Variables


Environment Variable
Setting
Description
$APT_EXPORT_FLUSH_COUNT
[nrows]
Specifies how frequently (in rows) that the Sequential File stage (export operator) flushes its internal buffer to disk. Setting this value to a low number (such as 1) is useful for realtime applications, but there is a small performance penalty from increased I/O.
$APT_IMPORT_BUFFER_SIZE

$APT_EXPORT_BUFFER_SIZE
[Kbytes]
Defines size of I/O buffer for Sequential File reads (imports) and writes (exports) respectively. Default is 128 (128K), with a minimum of 8. Increasing these values on heavily-loaded file servers may improve performance.
$APT_CONSISTENT_BUFFERIO_SIZE
[bytes]
In some disk array configurations, setting this variable to a value equal to the read / write size in bytes can improve performance of Sequential File import/export operations.
$APT_DELIMITED_READ_SIZE
[bytes]
Specifies the number of bytes the Sequential File (import) stage reads-ahead to get the next delimiter. The default is 500 bytes, but this can be set as low as 2 bytes.
This setting should be set to a lower value when reading from streaming inputs (eg. socket, FIFO) to avoid blocking.
$APT_MAX_DELIMITED_READ_SIZE
[bytes]
By default, Sequential File (import) will read ahead 500 bytes to get the next delimiter. If it is not found the importer looks ahead 4*500=2000 (1500 more) bytes, and so on (4X) up to 100,000 bytes. 

This variable controls the upper bound which is by default 100,000 bytes.  When more than 500 bytes read-ahead is desired, use this variable instead of APT_DELIMITED_READ_SIZE.

 Oracle Environment Variables


Environment Variable
Setting
Description
$ORACLE_HOME
[path]
Specifies installation directory for current Oracle instance. Normally set in a user’s environment by Oracle scripts.
$ORACLE_SID
[sid]
Specifies the Oracle service name, corresponding to a TNSNAMES entry.
$APT_ORAUPSERT_COMMIT_ROW_INTERVAL
$APT_ORAUPSERT_COMMIT_TIME_INTERVAL
[num]
[seconds]
These two environment variables work together to specify how often target rows are committed for target Oracle stages with Upsert method.
 
Commits are made whenever the time interval period has passed or the row interval is reached, whichever comes first. By default, commits are made every 2 seconds or 5000 rows.
$APT_ORACLE_LOAD_OPTIONS
[SQL*
Loader options]
Specifies Oracle SQL*Loader options used in a target Oracle stage with Load method. By default, this is set to OPTIONS(DIRECT=TRUE, PARALLEL=TRUE)
$APT_ORA_IGNORE_CONFIG_FILE_PARALLELISM
1
When set, a target Oracle stage with Load method will limit the number of players to the number of datafiles in the table’s tablespace.
$APT_ORA_WRITE_FILES
[filepath]
Useful in debugging Oracle SQL*Loader issues. When set, the output of a Target Oracle stage with Load method is written to files instead of invoking the Oracle SQL*Loader. The filepath specified by this environment variable specifies the file with the SQL*Loader commands.
$DS_ENABLE_RESERVED_CHAR_CONVERT
1
Allows DataStage to handle Oracle databases which use the special characters # and $ in column names.

 Job Monitoring Environment Variables


Environment Variable
Setting
Description
$APT_MONITOR_TIME
[seconds]
In v7 and later, specifies the time interval (in seconds) for generating job monitor information at runtime. To enable size-based job monitoring, unset this environment variable, and set $APT_MONITOR_SIZEbelow.
$APT_MONITOR_SIZE

[rows]
Determines the minimum number of records the job monitor reports. The default of 5000 records is usually too small. To minimize the number of messages during large job runs, set this to a higher value (eg. 1000000).
$APT_NO_JOBMON
1
Disables job monitoring completely. In rare instances, this may improve performance. In general, this should only be set on a per-job basis when attempting to resolve performance bottlenecks.
$APT_RECORD_COUNTS
1
Prints record counts in the job log as each operator completes processing. The count is per operator per partition.








njoy the simplicity.......
Atul Singh

No comments :

Post a Comment