TryDaxTests.java - Amazon DynamoDB

TryDaxTests.java

TryDaxTests.java 文件包含对 Amazon DynamoDB 中的测试表执行读取操作的方法。这些方法不考虑访问数据的方式（使用 DynamoDB 客户端还是 DAX 客户端），因此无需修改应用程序逻辑。

可以通过多种方式修改程序：

  • 修改 queryTest 方法，使其使用其他 KeyConditionExpression。

  • 将 ScanFilter 添加到 scanTest 方法，这样仅返回部分项目。

注意

要运行此程序，您可以设置 Maven 将 DAX SDK for Java 客户端和 AWS SDK for Java 作为依赖项。有关更多信息，请参阅 使用客户端作为 Apache Maven 依赖项。

或者可以下载 DAX Java 客户端和 AWS SDK for Java 并加入类路径。有关设置 Java 和 DAX 变量的示例，请参阅 CLASSPATH。

import java.util.Iterator;

import com.amazonaws.services.dynamodbv2.document.DynamoDB;
import com.amazonaws.services.dynamodbv2.document.Item;
import com.amazonaws.services.dynamodbv2.document.ItemCollection;
import com.amazonaws.services.dynamodbv2.document.QueryOutcome;
import com.amazonaws.services.dynamodbv2.document.ScanOutcome;
import com.amazonaws.services.dynamodbv2.document.Table;
import com.amazonaws.services.dynamodbv2.document.spec.QuerySpec;

public class TryDaxTests {

    void getItemTest(String tableName, DynamoDB client, int pk, int sk, int iterations) {
        long startTime, endTime;
        System.out.println("GetItem test - partition key " + pk + " and sort keys 1-" + sk);
        Table table = client.getTable(tableName);

        for (int i = 0; i < iterations; i++) {
            startTime = System.nanoTime();
            try {
                for (Integer ipk = 1; ipk <= pk; ipk++) {
                    for (Integer isk = 1; isk <= sk; isk++) {
                        table.getItem("pk", ipk, "sk", isk);
                    }
                }
            } catch (Exception e) {
                System.err.println("Unable to get item:");
                e.printStackTrace();
            }
            endTime = System.nanoTime();
            printTime(startTime, endTime, pk * sk);
        }
    }

    void queryTest(String tableName, DynamoDB client, int pk, int sk1, int sk2, int iterations) {
        long startTime, endTime;
        System.out.println("Query test - partition key " + pk + " and sort keys between " + sk1 + " and " + sk2);
        Table table = client.getTable(tableName);

        HashMap<String, Object> valueMap = new HashMap<String, Object>();
        valueMap.put(":pkval", pk);
        valueMap.put(":skval1", sk1);
        valueMap.put(":skval2", sk2);

        QuerySpec spec = new QuerySpec()
                .withKeyConditionExpression("pk = :pkval and sk between :skval1 and :skval2")
                .withValueMap(valueMap);

        for (int i = 0; i < iterations; i++) {
            startTime = System.nanoTime();
            ItemCollection<QueryOutcome> items = table.query(spec);

            try {
                Iterator<Item> iter = items.iterator();
                while (iter.hasNext()) {
                    iter.next();
                }
            } catch (Exception e) {
                System.err.println("Unable to query table:");
                e.printStackTrace();
            }
            endTime = System.nanoTime();
            printTime(startTime, endTime, iterations);
        }
    }

    void scanTest(String tableName, DynamoDB client, int iterations) {
        long startTime, endTime;
        System.out.println("Scan test - all items in the table");
        Table table = client.getTable(tableName);

        for (int i = 0; i < iterations; i++) {
            startTime = System.nanoTime();
            ItemCollection<ScanOutcome> items = table.scan();
            try {

                Iterator<Item> iter = items.iterator();
                while (iter.hasNext()) {
                    iter.next();
                }
            } catch (Exception e) {
                System.err.println("Unable to scan table:");
                e.printStackTrace();
            }
            endTime = System.nanoTime();
            printTime(startTime, endTime, iterations);
        }
    }

    public void printTime(long startTime, long endTime, int iterations) {
        System.out.format("\tTotal time: %.3f ms - ", (endTime - startTime) / (1000000.0));
        System.out.format("Avg time: %.3f ms\n", (endTime - startTime) / (iterations * 1000000.0));
    }
}