AI Feature Functions
- gs_index_advise(text)
Description: Recommends an index for a single query statement.
Parameter: SQL statement string
Return type: record
For details, see section "DBMind: Autonomous Database O&M > AI Sub-functions of DBMind > Index-advisor: Index Recommendation > Single-Query Index Recommendation" in Feature Guide.
- hypopg_create_index(text, [text])
Description: Creates a virtual index.
Parameter: character string of the statement for creating an index, level of the created virtual index (optional)
Return type: record
For details, see section "DBMind: Autonomous Database O&M > AI Sub-functions of DBMind > Index-advisor: Index Recommendation > Virtual Index" in Feature Guide.
- hypopg_display_index([text])
Description: Displays information about all created virtual indexes.
Parameter: level of the virtual index to be displayed (optional)
Return type: record
For details, see section "DBMind: Autonomous Database O&M > AI Sub-functions of DBMind > Index-advisor: Index Recommendation > Virtual Index" in Feature Guide.
- hypopg_drop_index(oid)
Description: Deletes a specified virtual index.
Parameter: OID of the index
Return type: Boolean
For details, see section "DBMind: Autonomous Database O&M > AI Sub-functions of DBMind > Index-advisor: Index Recommendation > Virtual Index" in Feature Guide.
- hypopg_reset_index([text])
Description: Clears all virtual indexes.
Parameter: level of the virtual index to be cleared (optional)
Return type: none
For details, see section "DBMind: Autonomous Database O&M > AI Sub-functions of DBMind > Index-advisor: Index Recommendation > Virtual Index" in Feature Guide.
- hypopg_estimate_size(oid)
Description: Estimates the space required for creating a specified index.
Parameter: OID of the index
Return type: int8
For details, see section "DBMind: Autonomous Database O&M > AI Sub-functions of DBMind > Index-advisor: Index Recommendation > Virtual Index" in Feature Guide.
- check_engine_status(ip text, port text)
Description: Tests whether a predictor engine provides services on a specified IP address and port.
Parameter: IP address and port number of the predictor engine.
Return type: text
This function is unavailable in the current version.
- encode_plan_node(optname text, orientation text, strategy text, options text, dop int8, quals text, projection text)
Description: Encodes the plan operator information in the input parameters.
Parameter: plan operator information
Return type: text
This function is an internal function. You are advised not to use it directly.
- model_train_opt(template text, model text)
Description: Trains a given query performance prediction model.
Parameters: template name and model name of the performance prediction model
Return type: tartup_time_accuracy FLOAT8, total_time_accuracy FLOAT8, rows_accuracy FLOAT8, peak_memory_accuracy FLOAT8
This function is unavailable in the current version.
- track_model_train_opt(ip text, port text)
Description: Returns the training log address of the specified IP address and port predictor engine.
Parameter: IP address and port number of the predictor engine
Return type: text
This function is unavailable in the current version.
- encode_feature_perf_hist(datname text)
Description: Encodes historical plan operators collected in the target database.
Parameter: database name
Return type: queryid bigint, plan_node_id int, parent_node_id int, left_child_id int, right_child_id int, encode text, startup_time bigint, total_time bigint, rows bigint, and peak_memory int
- gather_encoding_info(datname text)
Description: Invokes encode_feature_perf_hist to save the encoded data persistently.
Parameter: database name
Return type: int
- db4ai_predict_by_bool (text, VARIADIC "any")
Description: Obtains a model whose return value is of the Boolean type for model inference. This function is an internal function. You are advised to use the PREDICT BY syntax for inference.
Parameter: model name and input column name of the inference task
Return type: Boolean
- db4ai_predict_by_float4(text, VARIADIC "any")
Description: Obtains a model whose return value is of the float4 type for model inference. This function is an internal function. You are advised to use the PREDICT BY syntax for inference.
Parameter: model name and input column name of the inference task
Return type: float
- db4ai_predict_by_float8(text, VARIADIC "any")
Description: Obtains a model whose return value is of the float8 type for model inference. This function is an internal function. You are advised to use the PREDICT BY syntax for inference.
Parameter: model name and input column name of the inference task
Return type: float
- db4ai_predict_by_int32(text, VARIADIC "any")
Description: Obtains a model whose return value is of the int32 type for model inference. This function is an internal function. You are advised to use the PREDICT BY syntax for inference.
Parameter: model name and input column name of the inference task
Return type: int
- db4ai_predict_by_int64(text, VARIADIC "any")
Description: Obtains a model whose return value is of the int64 type for model inference. This function is an internal function. You are advised to use the PREDICT BY syntax for inference.
Parameter: model name and input column name of the inference task
Return type: int
- db4ai_predict_by_numeric(text, VARIADIC "any")
Description: Obtains a model whose return value is of the numeric type for model inference. This function is an internal function. You are advised to use the PREDICT BY syntax for inference.
Parameter: model name and input column name of the inference task
Return type: numeric
- db4ai_predict_by_text(text, VARIADIC "any")
Description: Obtains a model whose return value is of the character type for model inference. This function is an internal function. You are advised to use the PREDICT BY syntax for inference.
Parameter: model name and input column name of the inference task
Return type: text
- db4ai_predict_by_float8_array(text, VARIADIC "any")
Description: Obtains a model whose return value is of the character type for model inference. This function is an internal function. You are advised to use the PREDICT BY syntax for inference.
Parameter: model name and input column name of the inference task
Return type: text
- gs_explain_model(text)
Description: Obtains the model whose return value is of the character type for text-based model parsing.
Parameter: model name
Return type: text
- gs_ai_stats_explain(text, text[])
Description: Prints the intelligent statistics of multiple columns in the corresponding table and columns.
Parameters: table name and column name collection.
Return type: text
- ai_watchdog_detection_warnings()
Description: Obtains the risk alarm information of the AI watchdog.
Parameter: none
Return type: record
- ai_watchdog_monitor_status(int)
Description: Obtains the monitoring information of the AI watchdog.
Parameter: Returns the upper limit of the length of the monitored sequence.
Return type: record
- ai_watchdog_parameters()
Description: Obtains the internal parameters or status information of the AI watchdog.
Parameter: none
Return type: record
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