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com.amazonaws.athena.connectors.cloudwatch.metrics.tables.MetricSamplesTable Maven / Gradle / Ivy
/*-
* #%L
* athena-cloudwatch-metrics
* %%
* Copyright (C) 2019 Amazon Web Services
* %%
* Licensed 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.
* #L%
*/
package com.amazonaws.athena.connectors.cloudwatch.metrics.tables;
import com.amazonaws.athena.connector.lambda.data.FieldBuilder;
import com.amazonaws.athena.connector.lambda.data.SchemaBuilder;
import org.apache.arrow.vector.types.Types;
import org.apache.arrow.vector.types.pojo.Schema;
import java.util.Collections;
import java.util.Set;
/**
* Defines the metadata associated with our static metric_samples table.
*
* This table contains the available metric samples for each metric named in the **metrics** table.
* More specifically, the table contains the following columns:
*
* **namespace** - A VARCHAR containing the namespace.
* **metric_name** - A VARCHAR containing the metric name.
* **dimensions** - A LIST of STRUCTS comprised of dim_name (VARCHAR) and dim_value (VARCHAR).
* **dim_name** - A VARCHAR convenience field used to easily filter on a single dimension name.
* **dim_value** - A VARCHAR convenience field used to easily filter on a single dimension value.
* **period** - An INT field representing the 'period' of the metric in seconds. (e.g. 60 second metric)
* **timestamp** - A BIGINT field representing the epoch time (in seconds) the metric sample is for.
* **value** - A FLOAT8 field containing the value of the sample.
* **statistic** - A VARCHAR containing the statistic type of the sample. (e.g. AVERAGE, p90, etc..)
*/
public class MetricSamplesTable
extends Table
{
private final Schema schema;
private final String name;
public MetricSamplesTable()
{
schema = new SchemaBuilder().newBuilder()
.addStringField(NAMESPACE_FIELD)
.addStringField(METRIC_NAME_FIELD)
.addField(FieldBuilder.newBuilder(DIMENSIONS_FIELD, Types.MinorType.LIST.getType())
.addField(FieldBuilder.newBuilder(DIMENSIONS_FIELD, Types.MinorType.STRUCT.getType())
.addStringField(DIMENSION_NAME_FIELD)
.addStringField(DIMENSION_VALUE_FIELD)
.build())
.build())
.addStringField(DIMENSION_NAME_FIELD)
.addStringField(DIMENSION_VALUE_FIELD)
.addIntField(PERIOD_FIELD)
.addBigIntField(TIMESTAMP_FIELD)
.addFloat8Field(VALUE_FIELD)
.addStringField(STATISTIC_FIELD)
.addMetadata(NAMESPACE_FIELD, "Metric namespace")
.addMetadata(METRIC_NAME_FIELD, "Metric name")
.addMetadata(DIMENSIONS_FIELD, "Array of Dimensions for the given metric.")
.addMetadata(DIMENSION_NAME_FIELD, "Shortcut field that flattens dimension to allow easier filtering on a single dimension name. This field is left blank unless used in the where clause")
.addMetadata(DIMENSION_VALUE_FIELD, "Shortcut field that flattens dimension to allow easier filtering on a single dimension value. This field is left blank unless used in the where clause.")
.addMetadata(STATISTIC_FIELD, "Statistics type of this value (e.g. Maximum, Minimum, Average, Sample Count)")
.addMetadata(TIMESTAMP_FIELD, "The epoch time (in seconds) the value is for.")
.addMetadata(PERIOD_FIELD, "The period, in seconds, for the metric (e.g. 60 seconds, 120 seconds)")
.addMetadata(VALUE_FIELD, "The value for the sample.")
.build();
name = "metric_samples";
}
@Override
public String getName()
{
return name;
}
@Override
public Schema getSchema()
{
return schema;
}
@Override
public Set getPartitionColumns()
{
return Collections.emptySet();
}
}