org.apache.beam.sdk.schemas.transforms

Class Group

java.lang.Object

org.apache.beam.sdk.schemas.transforms.Group

@Experimental(value=SCHEMAS)
public class Group
extends java.lang.Object

A generic grouping transform for schema PCollections.

When used without a combiner, this transforms simply acts as a GroupByKey but without the need for the user to explicitly extract the keys. For example, consider the following input type:

 @DefaultSchema(JavaFieldSchema.class)
 public class UserPurchase {
   public String userId;
   public String country;
   public long cost;
   public double transactionDuration;
 }

 PCollection<UserPurchase> purchases = readUserPurchases();
 

You can group all purchases by user and country as follows:

 @DefaultSchema(JavaFieldSchema.class)
 PCollection<Row> byUser = purchases.apply(Group.byFieldNames("userId', "country"));
 

However often an aggregation of some form is desired. The builder methods inside the Group class allows building up separate aggregations for every field (or set of fields) on the input schema, and generating an output schema based on these aggregations. For example:

 PCollection<Row> aggregated = purchases
      .apply(Group.byFieldNames("userId', "country")
          .aggregateField("cost", Sum.ofLongs(), "total_cost")
          .aggregateField("cost", Top.<Long>largestLongsFn(10), "top_purchases")
          .aggregateField("cost", ApproximateQuantilesCombineFn.create(21),
              Field.of("transactionDurations", FieldType.array(FieldType.INT64)));
 

The result will be a new row schema containing the fields total_cost, top_purchases, and transactionDurations, containing the sum of all purchases costs (for that user and country), the top ten purchases, and a histogram of transaction durations. The schema will als contain a key field, which will be a row containing userId and country.

Note that usually the field type can be automatically inferred from the Combine.CombineFn passed in. However sometimes it cannot be inferred, due to Java type erasure, in which case a Schema.Field object containing the field type must be passed in. This is currently the case for ApproximateQuantilesCombineFn in the above example.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	Group.ByFields<InputT> a PTransform that groups schema elements based on the given fields.
static class	Group.CombineFieldsByFields<InputT> a PTransform that does a per-key combine using an aggregation built up by calls to aggregateField and aggregateFields.
static class	Group.CombineFieldsGlobally<InputT> a PTransform that does a global combine using an aggregation built up by calls to aggregateField and aggregateFields.
static class	Group.CombineGlobally<InputT,OutputT> a PTransform that does a global combine using a provider Combine.CombineFn.
static class	Group.Global<InputT> A PTransform for doing global aggregations on schema PCollections.

Constructor Summary

Constructors

Constructor and Description
Group()

Method Summary

Modifier and Type	Method and Description
static <T> Group.ByFields<T>	byFieldAccessDescriptor(FieldAccessDescriptor fieldAccess) Returns a transform that groups all elements in the input PCollection keyed by the fields specified.
static <T> Group.ByFields<T>	byFieldIds(java.lang.Integer... fieldIds) Returns a transform that groups all elements in the input PCollection keyed by the list of fields specified.
static <T> Group.ByFields<T>	byFieldIds(java.lang.Iterable<java.lang.Integer> fieldIds) Same as byFieldIds(Integer...).
static <T> Group.ByFields<T>	byFieldNames(java.lang.Iterable<java.lang.String> fieldNames) Same as byFieldNames(String...).
static <T> Group.ByFields<T>	byFieldNames(java.lang.String... fieldNames) Returns a transform that groups all elements in the input PCollection keyed by the list of fields specified.
static <T> Group.Global<T>	globally() Returns a transform that groups all elements in the input PCollection.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Group

public Group()

Method Detail

globally

public static <T> Group.Global<T> globally()

Returns a transform that groups all elements in the input PCollection. The returned transform contains further builder methods to control how the grouping is done.

byFieldNames

public static <T> Group.ByFields<T> byFieldNames(java.lang.String... fieldNames)

Returns a transform that groups all elements in the input PCollection keyed by the list of fields specified. The output of this transform will be a KV keyed by a Row containing the specified extracted fields. The returned transform contains further builder methods to control how the grouping is done.

byFieldNames

public static <T> Group.ByFields<T> byFieldNames(java.lang.Iterable<java.lang.String> fieldNames)

Same as byFieldNames(String...).

byFieldIds

public static <T> Group.ByFields<T> byFieldIds(java.lang.Integer... fieldIds)

Returns a transform that groups all elements in the input PCollection keyed by the list of fields specified. The output of this transform will have a key field of type Row containing the specified extracted fields. It will also have a value field of type Row containing the specified extracted fields. The returned transform contains further builder methods to control how the grouping is done.

byFieldIds

public static <T> Group.ByFields<T> byFieldIds(java.lang.Iterable<java.lang.Integer> fieldIds)

Same as byFieldIds(Integer...).

byFieldAccessDescriptor

public static <T> Group.ByFields<T> byFieldAccessDescriptor(FieldAccessDescriptor fieldAccess)

Returns a transform that groups all elements in the input PCollection keyed by the fields specified. The output of this transform will have a key field of type Row containing the specified extracted fields. It will also have a value field of type Row containing the specified extracted fields. The returned transform contains further builder methods to control how the grouping is done.