根据Beam website,
通常,在您的计算机上执行本地单元测试会更快,更简单 管道代码,而不是调试管道的远程执行。
出于这个原因,我想对写入BigTable的Beam / Dataflow应用程序使用测试驱动的开发。
但是,在Beam测试文档之后,我陷入了僵局-PAssert没什么用,因为输出PCollection包含org.apache.hadoop.hbase.client.Put对象,这些对象不会覆盖equals方法。 / p>
我can't get the contents都对PCollection进行了验证,因为
不可能直接获取PCollection的内容- Apache Beam或Dataflow管道更像是一个关于什么的查询计划 应该完成处理,并以PCollection为逻辑 计划中的中间节点,而不是包含数据。
那么,除了手动运行该管道外,如何测试它呢?我正在使用Maven和JUnit(在Java中,因为Dataflow Bigtable Connector似乎都支持)。
答案 0 :(得分:5)
Bigtable Emulator Maven plugin可用于为此编写集成测试:
在命令行上的gcloud sdk中安装Bigtable Emulator:
gcloud components install bigtable
请注意,此必需步骤将减少代码的可移植性(例如,它将在您的构建系统上运行吗?在其他开发人员的计算机上运行?),因此在部署到构建系统之前,我将使用Docker将其容器化。
按照README
使用HBase Client API并查看example Bigtable Emulator integration test来设置会话和表。
按照Beam的文档正常编写测试,除了不使用PAssert实际调用CloudBigtableIO.writeToTable,然后使用HBase客户端从表中读取数据以进行验证。
这是一个集成测试示例:
package adair.example;
import static org.apache.hadoop.hbase.util.Bytes.toBytes;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.UUID;
import java.util.stream.Collectors;
import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.transforms.Create;
import org.apache.hadoop.hbase.HColumnDescriptor;
import org.apache.hadoop.hbase.HTableDescriptor;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Admin;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.Mutation;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.ResultScanner;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.client.Table;
import org.apache.hadoop.hbase.util.Bytes;
import org.hamcrest.collection.IsIterableContainingInAnyOrder;
import org.junit.Assert;
import org.junit.Test;
import com.google.cloud.bigtable.beam.CloudBigtableIO;
import com.google.cloud.bigtable.beam.CloudBigtableTableConfiguration;
import com.google.cloud.bigtable.hbase.BigtableConfiguration;
/**
* A simple integration test example for use with the Bigtable Emulator maven plugin.
*/
public class DataflowWriteExampleIT {
private static final String PROJECT_ID = "fake";
private static final String INSTANCE_ID = "fakeinstance";
private static final String TABLE_ID = "example_table";
private static final String COLUMN_FAMILY = "cf";
private static final String COLUMN_QUALIFIER = "cq";
private static final CloudBigtableTableConfiguration TABLE_CONFIG =
new CloudBigtableTableConfiguration.Builder()
.withProjectId(PROJECT_ID)
.withInstanceId(INSTANCE_ID)
.withTableId(TABLE_ID)
.build();
public static final List<String> VALUES_TO_PUT = Arrays
.asList("hello", "world", "introducing", "Bigtable", "plus", "Dataflow", "IT");
@Test
public void testPipelineWrite() throws IOException {
try (Connection connection = BigtableConfiguration.connect(PROJECT_ID, INSTANCE_ID)) {
Admin admin = connection.getAdmin();
createTable(admin);
List<Mutation> puts = createTestPuts();
//Use Dataflow to write the data--this is where you'd call the pipeline you want to test.
Pipeline p = Pipeline.create();
p.apply(Create.of(puts)).apply(CloudBigtableIO.writeToTable(TABLE_CONFIG));
p.run().waitUntilFinish();
//Read the data from the table using the regular hbase api for validation
ResultScanner scanner = getTableScanner(connection);
List<String> resultValues = new ArrayList<>();
for (Result row : scanner) {
String cellValue = getRowValue(row);
System.out.println("Found value in table: " + cellValue);
resultValues.add(cellValue);
}
Assert.assertThat(resultValues,
IsIterableContainingInAnyOrder.containsInAnyOrder(VALUES_TO_PUT.toArray()));
}
}
private void createTable(Admin admin) throws IOException {
HTableDescriptor tableDesc = new HTableDescriptor(TableName.valueOf(TABLE_ID));
tableDesc.addFamily(new HColumnDescriptor(COLUMN_FAMILY));
admin.createTable(tableDesc);
}
private ResultScanner getTableScanner(Connection connection) throws IOException {
Scan scan = new Scan();
Table table = connection.getTable(TableName.valueOf(TABLE_ID));
return table.getScanner(scan);
}
private String getRowValue(Result row) {
return Bytes.toString(row.getValue(toBytes(COLUMN_FAMILY), toBytes(COLUMN_QUALIFIER)));
}
private List<Mutation> createTestPuts() {
return VALUES_TO_PUT
.stream()
.map(this::stringToPut)
.collect(Collectors.toList());
}
private Mutation stringToPut(String cellValue){
String key = UUID.randomUUID().toString();
Put put = new Put(toBytes(key));
put.addColumn(toBytes(COLUMN_FAMILY), toBytes(COLUMN_QUALIFIER), toBytes(cellValue));
return put;
}
}