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Original file line number Diff line number Diff line change
@@ -0,0 +1,51 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

package org.apache.spark.sql.connector;

import org.apache.spark.annotation.Evolving;

/**
* A custom metric. Data source can define supported custom metrics using this interface.
* During query execution, Spark will collect the task metrics using {@link CustomTaskMetric}
* and combine the metrics at the driver side. How to combine task metrics is defined by the
* metric class with the same metric name.
*
* @since 3.2.0
*/
@Evolving
public interface CustomMetric {
/**
* Returns the name of custom metric.
*/
String name();

/**
* Returns the description of custom metric.
*/
String description();

/**
* The initial value of this metric.
*/
long initialValue = 0L;
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@viirya do we need this? It's not used anywhere and people can easily define their own initial value in the implementation of CustomTaskMetric.

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Yea, we don't use this initial value at all.

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We can probably remove it.


/**
* Given an array of task metric values, returns aggregated final metric value.
*/
String aggregateTaskMetrics(long[] taskMetrics);
}
Original file line number Diff line number Diff line change
@@ -0,0 +1,46 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

package org.apache.spark.sql.connector;

import org.apache.spark.annotation.Evolving;
import org.apache.spark.sql.connector.read.PartitionReader;

/**
* A custom task metric. This is a logical representation of a metric reported by data sources
* at the executor side. During query execution, Spark will collect the task metrics per partition
* by {@link PartitionReader} and update internal metrics based on collected metric values.
* For streaming query, Spark will collect and combine metrics for a final result per micro batch.
*
* The metrics will be gathered during query execution back to the driver and then combined. How
* the task metrics are combined is defined by corresponding {@link CustomMetric} with same metric
* name. The final result will be shown up in the data source scan operator in Spark UI.
*
* @since 3.2.0
*/
@Evolving
public interface CustomTaskMetric {
/**
* Returns the name of custom task metric.
*/
String name();

/**
* Returns the long value of custom task metric.
*/
long value();
}
Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,7 @@
import java.io.IOException;

import org.apache.spark.annotation.Evolving;
import org.apache.spark.sql.connector.CustomTaskMetric;

/**
* A partition reader returned by {@link PartitionReaderFactory#createReader(InputPartition)} or
Expand Down Expand Up @@ -48,4 +49,12 @@ public interface PartitionReader<T> extends Closeable {
* Return the current record. This method should return same value until `next` is called.
*/
T get();

/**
* Returns an array of custom task metrics. By default it returns empty array.
*/
default CustomTaskMetric[] currentMetricsValues() {
CustomTaskMetric[] NO_METRICS = {};
return NO_METRICS;
}
}
Original file line number Diff line number Diff line change
Expand Up @@ -18,6 +18,7 @@
package org.apache.spark.sql.connector.read;

import org.apache.spark.annotation.Evolving;
import org.apache.spark.sql.connector.CustomMetric;
import org.apache.spark.sql.connector.read.streaming.ContinuousStream;
import org.apache.spark.sql.connector.read.streaming.MicroBatchStream;
import org.apache.spark.sql.types.StructType;
Expand Down Expand Up @@ -102,4 +103,13 @@ default MicroBatchStream toMicroBatchStream(String checkpointLocation) {
default ContinuousStream toContinuousStream(String checkpointLocation) {
throw new UnsupportedOperationException(description() + ": Continuous scan are not supported");
}

/**
* Returns an array of supported custom metrics with name and description.
* By default it returns empty array.
*/
default CustomMetric[] supportedCustomMetrics() {
CustomMetric[] NO_METRICS = {};
return NO_METRICS;
}
}