Documentation > System Stored Procedures > @MarkovUpdate
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@MarkovUpdate
This system procedure will cause every HStoreSite in the cluster to recompute the probabilities of their transaction prediction models. If the the save_to_file input parameter is set to true, then the procedure will write out the updated Markov models to a random file in the HStoreSite’s global.temp_dir.
You can have the BenchmarkController invoke this procedure automatically after the warm-up period of a benchmark by passing in the markov.recompute_warmup parameter, or after the entire benchmark run by passing in the the markov.recompute_end parameter. This will automatically retrieve the written files and combine them into a single MarkovGraphsContainer file that can then be loaded into the system.
Input Parameters
| Name | Type | Description |
|---|---|---|
| SAVE_TO_FILE | boolean | Whether the procedure should write out the update Markov models to a temporary file on disk. |
Return Values
| Name | Type | Description |
|---|---|---|
| SITE | Integer | The id of the site that recomputed its models. |
| PARTITION | Integer | The id of the partition that recomputed its models. |
| OUTPUTFILE | String | The path to file that the HStoreSite saved its updated Markov models for this partition. If save_to_file is false, then this field will be null. |
| ISGLOBAL | Integer | Whether or not the Markov models are global (i.e., they are not partitioned with a decision tree). (1 = TRUE, 0 = FALSE) |
Java Example
Client client = ClientFactory.createClient(); client = client.createConnection(hostname, port); ClientResponse cresponse = client.callProcedure("@MarkovUpdate", 1); |
Command-Line Example
hstore> EXEC @MarkovUpdate 1 |
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