Prompt:
What does this code do?

```java
 public class ReadBigQueryTable {
     private static final Logger LOG = LoggerFactory.getLogger(ReadBigQueryTable.class);

     public interface ReadBigQueryTableOptions extends PipelineOptions {
         @Description("Table from which to read")
         @Default.String("bigquery-public-data:austin_bikeshare.bikeshare_stations")
         String getTableName();

         void setTableName(String value);
     }

     public static void main(String[] args) {
         ReadTableBQOptions options = PipelineOptionsFactory.fromArgs(args).withValidation().as(ReadBigQueryTableOptions.class);

         Pipeline p = Pipeline.create(options);

         p
                 .apply(BigQueryIO.readTableRows().from(options.getTableName()))
                 .apply(ParDo.of(new DoFn<TableRow, String>() {
                             @ProcessElement
                             public void processElement(ProcessContext c) {
                                 c.output(c.element().toString());
                             }
                         })
                 );
         p.run();
     }
 }
```

Response:
This code snippet uses the Apache Beam BigQueryIO connector to read data from a BigQuery table.

The `ReadBigQueryTableOptions` interface defines the options that can be configured when running the pipeline. In this case, it specifies the BigQuery table to read from. The `--tableName` command-line argument sets the table name when running the pipeline. The `@Description` annotation provides a description of the option, while the `@Default.String` annotation sets a default value for the option.

```java
     public interface ReadBigQueryTableOptions extends PipelineOptions {
         @Description("Table from which to read")
         @Default.String("bigquery-public-data:austin_bikeshare.bikeshare_stations")
         String getTableName();

         void setTableName(String value);
     }
```

In the `main` method, the `PipelineOptionsFactory` class creates a `ReadBigQueryTableOptions` object from the command-line arguments. The `Pipeline.create` method then creates a new pipeline with the specified options.

```java
  ReadTableBQOptions options = PipelineOptionsFactory.fromArgs(args).withValidation().as(ReadBigQueryTableOptions.class);

  Pipeline p = Pipeline.create(options);
```

The `(BigQueryIO.readTableRows().from(options.getTableName())` method reads data from the specified BigQuery table. The `ParDo` transform then applies a `DoFn` to each element of the input `PCollection`. In this case, the `DoFn` simply outputs the input element.

```java
         p
                 .apply(BigQueryIO.readTableRows().from(options.getTableName()))
                 .apply(ParDo.of(new DoFn<TableRow, String>() {
                             @ProcessElement
                             public void processElement(ProcessContext c) {
                                 c.output(c.element().toString());
                             }
                         })
                 );
```

Finally, the `run` method executes the pipeline.

```java
         p.run();
```
