stream_scheduler
This table contains metadata related to a single scheduler.
This table was renamed from kafka_config.kafka_scheduler.
Column | Data Type | Description |
---|---|---|
version | VARCHAR | The version of the scheduler. |
frame_duration | INTERVAL | The length of time of the frame. The default is 00:00:10. |
resource_pool | VARCHAR | The resource pool associated with this scheduler. |
config_refresh | INTERVAL |
The interval of time that the scheduler runs before applying any changes to its metadata, such as, changes made using the For more information, refer to |
new_source_policy | VARCHAR |
When during the frame that the source runs. Set this value with the Valid Values:
Default Value: FAIR |
eof_timeout_ms | INT |
The maximum amout of time the scheduler waits for data from the source before ending the batch. Default Value:
|
pushback_policy | VARCHAR |
How Vertica handles delays for microbatches that continually fail. Valid Values:
Default Value: LINEAR |
pushback_max_count | INT | The maximum number of times a microbatch can fail before Vertica terminates it. |
auto_sync | BOOLEAN |
When TRUE, the scheduler automatically synchronizes source information with host clusters. For more information, refer to Data Streaming Job Scheduler. Default Value: TRUE |
Examples
This example shows a typical row in the stream_scheduler table.
SELECT * FROM stream_config.stream_scheduler; -[ RECORD 1 ]------+------------------- version | v8.0.0 frame_duration | 00:00:10 resource_pool | kafka_default_pool config_refresh | 00:05 new_source_policy | FAIR eof_timeout_ms | 10000 pushback_policy | LINEAR pushback_max_count | 5 auto_sync | t