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TestSparkReadMetrics.java
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TestSparkReadMetrics.java
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/*
* 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.iceberg.spark.source;
import static scala.collection.JavaConverters.seqAsJavaListConverter;
import java.util.List;
import java.util.Map;
import org.apache.iceberg.spark.SparkTestBaseWithCatalog;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.catalyst.analysis.NoSuchTableException;
import org.apache.spark.sql.execution.SparkPlan;
import org.apache.spark.sql.execution.metric.SQLMetric;
import org.assertj.core.api.Assertions;
import org.junit.After;
import org.junit.Test;
import scala.collection.JavaConverters;
public class TestSparkReadMetrics extends SparkTestBaseWithCatalog {
@After
public void removeTables() {
sql("DROP TABLE IF EXISTS %s", tableName);
}
@Test
public void testReadMetricsForV1Table() throws NoSuchTableException {
sql(
"CREATE TABLE %s (id BIGINT) USING iceberg TBLPROPERTIES ('format-version'='2')",
tableName);
spark.range(10000).coalesce(1).writeTo(tableName).append();
spark.range(10001, 20000).coalesce(1).writeTo(tableName).append();
Dataset<Row> df = spark.sql(String.format("select * from %s where id < 10000", tableName));
df.collect();
List<SparkPlan> sparkPlans =
seqAsJavaListConverter(df.queryExecution().executedPlan().collectLeaves()).asJava();
Map<String, SQLMetric> metricsMap =
JavaConverters.mapAsJavaMapConverter(sparkPlans.get(0).metrics()).asJava();
Assertions.assertThat(metricsMap.get("skippedDataFiles").value()).isEqualTo(1);
Assertions.assertThat(metricsMap.get("scannedDataManifests").value()).isEqualTo(2);
Assertions.assertThat(metricsMap.get("scannedDataFiles").value()).isEqualTo(1);
}
@Test
public void testReadMetricsForV2Table() throws NoSuchTableException {
sql(
"CREATE TABLE %s (id BIGINT) USING iceberg TBLPROPERTIES ('format-version'='2')",
tableName);
spark.range(10000).coalesce(1).writeTo(tableName).append();
spark.range(10001, 20000).coalesce(1).writeTo(tableName).append();
Dataset<Row> df = spark.sql(String.format("select * from %s where id < 10000", tableName));
df.collect();
List<SparkPlan> sparkPlans =
seqAsJavaListConverter(df.queryExecution().executedPlan().collectLeaves()).asJava();
Map<String, SQLMetric> metricsMap =
JavaConverters.mapAsJavaMapConverter(sparkPlans.get(0).metrics()).asJava();
Assertions.assertThat(metricsMap.get("skippedDataFiles").value()).isEqualTo(1);
Assertions.assertThat(metricsMap.get("scannedDataManifests").value()).isEqualTo(2);
Assertions.assertThat(metricsMap.get("scannedDataFiles").value()).isEqualTo(1);
}
}