Apache Beam:将具有对象列表的对象转换为多个TableRows以写入BigQuery

时间:2017-10-26 06:34:54

标签: google-bigquery google-cloud-dataflow apache-beam apache-beam-io

我正在处理一个梁管道来处理一个json并将其写入bigquery。 JSON就是这样的。

{
"message": [{
    "name": "abc",
    "itemId": "2123",
    "itemName": "test"

}, {
    "name": "vfg",
    "itemId": "56457",
    "itemName": "Chicken"
}],
"publishDate": "2017-10-26T04:54:16.207Z"

}

我使用Jackson将其解析为以下结构。

class Feed{
List<Message> messages; 
TimeStamp  publishDate;

}
public class Message implements Serializable{

/**
 * 
 */
private static final long serialVersionUID = 1L;
private String key;
private String value;

private Map<String, String> eventItemMap = new HashMap<>();
this property translate the list of map as a single map with all the key-value pair together. because,  the messages property will be parsed as list of HashMap objets for each key/value. This will be translated to a single map. 

现在在我的管道中,我将把集合转换为

PCollection<KV<String, Feed>>

根据类中的属性将其写入不同的表。我写了一个转换来做到这一点。 要求是根据消息对象的数量创建多个TableRows。我在JSON中还有一些属性以及publishDate,它将被添加到tableRow和每个消息属性中。 所以表格如下。

id, name, field1, field2, message1.property1, message1.property2...

id, name, field1, field2, message2.property1, message2.property2...

我尝试创建以下转换。但是,不确定它将如何根据消息列表输出多行。

private class BuildRowListFn extends DoFn<KV<String, Feed>, List<TableRow>> {

    @ProcessElement
    public void processElement(ProcessContext context) {
        Feed feed = context.element().getValue();

        List<Message> messages = feed.getMessage();
        List<TableRow> rows = new ArrayList<>();
        messages.forEach((message) -> {
            TableRow row = new TableRow();
            row.set("column1", feed.getPublishDate());
            row.set("column2", message.getEventItemMap().get("key1"));
            row.set("column3", message.getEventItemMap().get("key2"));
            rows.add(row);
        }

        );

    }

但是,这也是一个List,我将无法应用BigQueryIO.write转换。

根据“Eugene”又名@jkff

的评论更新

谢谢@jkff。现在,我已经更改了第二段中提到的代码。在将表行设置为

之后,messages.forEach中的context.output(行)
List<Message> messages = feed.getMessage();
        messages.forEach((message) -> {
            TableRow row = new TableRow();
            row.set("column2", message.getEventItemMap().get("key1"));
            context.output(row);
            }

现在,当我尝试将此集合写入BigQuery时,如

rows.apply(BigQueryIO.writeTableRows().to(getTable(projectId, datasetId, tableName)).withSchema(getSchema())
                    .withCreateDisposition(CreateDisposition.CREATE_IF_NEEDED)
                    .withWriteDisposition(WriteDisposition.WRITE_APPEND));

我收到以下异常。

Exception in thread "main" org.apache.beam.sdk.Pipeline$PipelineExecutionException: java.lang.NullPointerException
at org.apache.beam.runners.direct.DirectRunner$DirectPipelineResult.waitUntilFinish(DirectRunner.java:331)
at org.apache.beam.runners.direct.DirectRunner$DirectPipelineResult.waitUntilFinish(DirectRunner.java:301)
at org.apache.beam.runners.direct.DirectRunner.run(DirectRunner.java:200)
at org.apache.beam.runners.direct.DirectRunner.run(DirectRunner.java:63)
at org.apache.beam.sdk.Pipeline.run(Pipeline.java:297)
at org.apache.beam.sdk.Pipeline.run(Pipeline.java:283)
at com.chefd.gcloud.analytics.pipeline.MyPipeline.main(MyPipeline.java:284)


Caused by: java.lang.NullPointerException
at org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$DatasetServiceImpl.insertAll(BigQueryServicesImpl.java:759)
at org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$DatasetServiceImpl.insertAll(BigQueryServicesImpl.java:809)
at org.apache.beam.sdk.io.gcp.bigquery.StreamingWriteFn.flushRows(StreamingWriteFn.java:126)
at org.apache.beam.sdk.io.gcp.bigquery.StreamingWriteFn.finishBundle(StreamingWriteFn.java:96)

请帮忙。

谢谢。

1 个答案:

答案 0 :(得分:1)

您似乎假设DoFn每个元素只能输出一个值。情况并非如此:它可以为每个元素输出任意数量的值 - 没有值,一个值,多个值等。DoFn甚至可以output values to multiple PCollection's

在您的情况下,您只需为c.output(row)方法中的每一行调用@ProcessElement,例如:rows.forEach(c::output)。当然,您还需要将DoFn的类型更改为DoFn<KV<String, Feed>, TableRow>,因为其输出PCollection中的元素类型为TableRow,而不是List<TableRow> - 你只是为每个输入元素在集合中生成多个元素,但这不会改变类型。

另一种方法是执行您当前所做的操作,同时执行c.output(rows)然后应用Flatten.iterables()PCollection<List<TableRow>>展平为PCollection<TableRow>(您可能需要将List替换为Iterable以使其生效。但另一种方法更容易。