How to use two filters in stream for different transformations
up vote
10
down vote
favorite
I need to perform transformations only for a particular condition.
I do this transformation:
// filter 1: less date - group by max date by groupId
List<Info> listResult = new ArrayList<>(listInfo.stream()
.filter(info -> info.getDate().getTime() < date.getTime())
.collect(Collectors.groupingBy(Info::getGroupId, Collectors.collectingAndThen(
Collectors.reducing((Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2),
Optional::get))).values());
But for the condition when there is more than the specified date, I do not need to convert anything, I just need to return this data:
// filter 2: more date - nothing change in list
List<Info> listMoreByDate = listInfo.stream()
.filter(info -> info.getDate().getTime() >= date.getTime())
.collect(Collectors.toList());
Next, to combine these two filters - I combine the two lists:
listResult.addAll(listMoreByDate);
My question is, can this be done in one stream? Because filter 2 is absolutely useless, it simply returns a list for this condition.
Is it possible to perform these transformations with one continuous expression?
My full code:
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.*;
import java.util.stream.Collectors;
public class App {
public static void main(String args) throws ParseException {
Info info1 = new Info(1L, getDateFromStr("2018-02-02T10:00:00"), 3L);
Info info2 = new Info(2L, getDateFromStr("2018-02-02T12:00:00"), 3L);
Info info3 = new Info(3L, getDateFromStr("2018-02-05T12:00:00"), 6L);
Info info4 = new Info(4L, getDateFromStr("2018-02-05T10:00:00"), 6L);
Date date = getDateFromStr("2018-02-03T10:10:10");
List<Info> listInfo = new ArrayList<>();
listInfo.add(info1);
listInfo.add(info2);
listInfo.add(info3);
listInfo.add(info4);
// filter 1: less date - group by max date by groupId
List<Info> listResult = new ArrayList<>(listInfo.stream()
.filter(info -> info.getDate().getTime() < date.getTime())
.collect(Collectors.groupingBy(Info::getGroupId, Collectors.collectingAndThen(
Collectors.reducing((Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2),
Optional::get))).values());
// filter 2: more date - nothing change in list
List<Info> listMoreByDate = listInfo.stream()
.filter(info -> info.getDate().getTime() >= date.getTime())
.collect(Collectors.toList());
listResult.addAll(listMoreByDate);
System.out.println("result: " + listResult);
}
private static Date getDateFromStr(String dateStr) throws ParseException {
return new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss").parse(dateStr);
}
}
class Info {
private Long id;
private Date date;
private Long groupId;
public Info(Long id, Date date, Long groupId) {
this.id = id;
this.date = date;
this.groupId = groupId;
}
public Long getId() {
return id;
}
public void setId(Long id) {
this.id = id;
}
public Date getDate() {
return date;
}
public void setDate(Date date) {
this.date = date;
}
public Long getGroupId() {
return groupId;
}
public void setGroupId(Long groupId) {
this.groupId = groupId;
}
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
Info info = (Info) o;
return Objects.equals(id, info.id) &&
Objects.equals(date, info.date) &&
Objects.equals(groupId, info.groupId);
}
@Override
public int hashCode() {
return Objects.hash(id, date, groupId);
}
@Override
public String toString() {
final StringBuilder sb = new StringBuilder("Info{");
sb.append("id=").append(id);
sb.append(", date=").append(date);
sb.append(", groupId=").append(groupId);
sb.append('}');
return sb.toString();
}
}
java java-8 java-stream
add a comment |
up vote
10
down vote
favorite
I need to perform transformations only for a particular condition.
I do this transformation:
// filter 1: less date - group by max date by groupId
List<Info> listResult = new ArrayList<>(listInfo.stream()
.filter(info -> info.getDate().getTime() < date.getTime())
.collect(Collectors.groupingBy(Info::getGroupId, Collectors.collectingAndThen(
Collectors.reducing((Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2),
Optional::get))).values());
But for the condition when there is more than the specified date, I do not need to convert anything, I just need to return this data:
// filter 2: more date - nothing change in list
List<Info> listMoreByDate = listInfo.stream()
.filter(info -> info.getDate().getTime() >= date.getTime())
.collect(Collectors.toList());
Next, to combine these two filters - I combine the two lists:
listResult.addAll(listMoreByDate);
My question is, can this be done in one stream? Because filter 2 is absolutely useless, it simply returns a list for this condition.
Is it possible to perform these transformations with one continuous expression?
My full code:
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.*;
import java.util.stream.Collectors;
public class App {
public static void main(String args) throws ParseException {
Info info1 = new Info(1L, getDateFromStr("2018-02-02T10:00:00"), 3L);
Info info2 = new Info(2L, getDateFromStr("2018-02-02T12:00:00"), 3L);
Info info3 = new Info(3L, getDateFromStr("2018-02-05T12:00:00"), 6L);
Info info4 = new Info(4L, getDateFromStr("2018-02-05T10:00:00"), 6L);
Date date = getDateFromStr("2018-02-03T10:10:10");
List<Info> listInfo = new ArrayList<>();
listInfo.add(info1);
listInfo.add(info2);
listInfo.add(info3);
listInfo.add(info4);
// filter 1: less date - group by max date by groupId
List<Info> listResult = new ArrayList<>(listInfo.stream()
.filter(info -> info.getDate().getTime() < date.getTime())
.collect(Collectors.groupingBy(Info::getGroupId, Collectors.collectingAndThen(
Collectors.reducing((Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2),
Optional::get))).values());
// filter 2: more date - nothing change in list
List<Info> listMoreByDate = listInfo.stream()
.filter(info -> info.getDate().getTime() >= date.getTime())
.collect(Collectors.toList());
listResult.addAll(listMoreByDate);
System.out.println("result: " + listResult);
}
private static Date getDateFromStr(String dateStr) throws ParseException {
return new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss").parse(dateStr);
}
}
class Info {
private Long id;
private Date date;
private Long groupId;
public Info(Long id, Date date, Long groupId) {
this.id = id;
this.date = date;
this.groupId = groupId;
}
public Long getId() {
return id;
}
public void setId(Long id) {
this.id = id;
}
public Date getDate() {
return date;
}
public void setDate(Date date) {
this.date = date;
}
public Long getGroupId() {
return groupId;
}
public void setGroupId(Long groupId) {
this.groupId = groupId;
}
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
Info info = (Info) o;
return Objects.equals(id, info.id) &&
Objects.equals(date, info.date) &&
Objects.equals(groupId, info.groupId);
}
@Override
public int hashCode() {
return Objects.hash(id, date, groupId);
}
@Override
public String toString() {
final StringBuilder sb = new StringBuilder("Info{");
sb.append("id=").append(id);
sb.append(", date=").append(date);
sb.append(", groupId=").append(groupId);
sb.append('}');
return sb.toString();
}
}
java java-8 java-stream
There's no inherent virtue to aStream
; they should be used to make code easier to read. This might be a case where a for-loop is better than a stream.
– erickson
Nov 6 at 22:23
add a comment |
up vote
10
down vote
favorite
up vote
10
down vote
favorite
I need to perform transformations only for a particular condition.
I do this transformation:
// filter 1: less date - group by max date by groupId
List<Info> listResult = new ArrayList<>(listInfo.stream()
.filter(info -> info.getDate().getTime() < date.getTime())
.collect(Collectors.groupingBy(Info::getGroupId, Collectors.collectingAndThen(
Collectors.reducing((Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2),
Optional::get))).values());
But for the condition when there is more than the specified date, I do not need to convert anything, I just need to return this data:
// filter 2: more date - nothing change in list
List<Info> listMoreByDate = listInfo.stream()
.filter(info -> info.getDate().getTime() >= date.getTime())
.collect(Collectors.toList());
Next, to combine these two filters - I combine the two lists:
listResult.addAll(listMoreByDate);
My question is, can this be done in one stream? Because filter 2 is absolutely useless, it simply returns a list for this condition.
Is it possible to perform these transformations with one continuous expression?
My full code:
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.*;
import java.util.stream.Collectors;
public class App {
public static void main(String args) throws ParseException {
Info info1 = new Info(1L, getDateFromStr("2018-02-02T10:00:00"), 3L);
Info info2 = new Info(2L, getDateFromStr("2018-02-02T12:00:00"), 3L);
Info info3 = new Info(3L, getDateFromStr("2018-02-05T12:00:00"), 6L);
Info info4 = new Info(4L, getDateFromStr("2018-02-05T10:00:00"), 6L);
Date date = getDateFromStr("2018-02-03T10:10:10");
List<Info> listInfo = new ArrayList<>();
listInfo.add(info1);
listInfo.add(info2);
listInfo.add(info3);
listInfo.add(info4);
// filter 1: less date - group by max date by groupId
List<Info> listResult = new ArrayList<>(listInfo.stream()
.filter(info -> info.getDate().getTime() < date.getTime())
.collect(Collectors.groupingBy(Info::getGroupId, Collectors.collectingAndThen(
Collectors.reducing((Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2),
Optional::get))).values());
// filter 2: more date - nothing change in list
List<Info> listMoreByDate = listInfo.stream()
.filter(info -> info.getDate().getTime() >= date.getTime())
.collect(Collectors.toList());
listResult.addAll(listMoreByDate);
System.out.println("result: " + listResult);
}
private static Date getDateFromStr(String dateStr) throws ParseException {
return new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss").parse(dateStr);
}
}
class Info {
private Long id;
private Date date;
private Long groupId;
public Info(Long id, Date date, Long groupId) {
this.id = id;
this.date = date;
this.groupId = groupId;
}
public Long getId() {
return id;
}
public void setId(Long id) {
this.id = id;
}
public Date getDate() {
return date;
}
public void setDate(Date date) {
this.date = date;
}
public Long getGroupId() {
return groupId;
}
public void setGroupId(Long groupId) {
this.groupId = groupId;
}
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
Info info = (Info) o;
return Objects.equals(id, info.id) &&
Objects.equals(date, info.date) &&
Objects.equals(groupId, info.groupId);
}
@Override
public int hashCode() {
return Objects.hash(id, date, groupId);
}
@Override
public String toString() {
final StringBuilder sb = new StringBuilder("Info{");
sb.append("id=").append(id);
sb.append(", date=").append(date);
sb.append(", groupId=").append(groupId);
sb.append('}');
return sb.toString();
}
}
java java-8 java-stream
I need to perform transformations only for a particular condition.
I do this transformation:
// filter 1: less date - group by max date by groupId
List<Info> listResult = new ArrayList<>(listInfo.stream()
.filter(info -> info.getDate().getTime() < date.getTime())
.collect(Collectors.groupingBy(Info::getGroupId, Collectors.collectingAndThen(
Collectors.reducing((Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2),
Optional::get))).values());
But for the condition when there is more than the specified date, I do not need to convert anything, I just need to return this data:
// filter 2: more date - nothing change in list
List<Info> listMoreByDate = listInfo.stream()
.filter(info -> info.getDate().getTime() >= date.getTime())
.collect(Collectors.toList());
Next, to combine these two filters - I combine the two lists:
listResult.addAll(listMoreByDate);
My question is, can this be done in one stream? Because filter 2 is absolutely useless, it simply returns a list for this condition.
Is it possible to perform these transformations with one continuous expression?
My full code:
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.*;
import java.util.stream.Collectors;
public class App {
public static void main(String args) throws ParseException {
Info info1 = new Info(1L, getDateFromStr("2018-02-02T10:00:00"), 3L);
Info info2 = new Info(2L, getDateFromStr("2018-02-02T12:00:00"), 3L);
Info info3 = new Info(3L, getDateFromStr("2018-02-05T12:00:00"), 6L);
Info info4 = new Info(4L, getDateFromStr("2018-02-05T10:00:00"), 6L);
Date date = getDateFromStr("2018-02-03T10:10:10");
List<Info> listInfo = new ArrayList<>();
listInfo.add(info1);
listInfo.add(info2);
listInfo.add(info3);
listInfo.add(info4);
// filter 1: less date - group by max date by groupId
List<Info> listResult = new ArrayList<>(listInfo.stream()
.filter(info -> info.getDate().getTime() < date.getTime())
.collect(Collectors.groupingBy(Info::getGroupId, Collectors.collectingAndThen(
Collectors.reducing((Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2),
Optional::get))).values());
// filter 2: more date - nothing change in list
List<Info> listMoreByDate = listInfo.stream()
.filter(info -> info.getDate().getTime() >= date.getTime())
.collect(Collectors.toList());
listResult.addAll(listMoreByDate);
System.out.println("result: " + listResult);
}
private static Date getDateFromStr(String dateStr) throws ParseException {
return new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss").parse(dateStr);
}
}
class Info {
private Long id;
private Date date;
private Long groupId;
public Info(Long id, Date date, Long groupId) {
this.id = id;
this.date = date;
this.groupId = groupId;
}
public Long getId() {
return id;
}
public void setId(Long id) {
this.id = id;
}
public Date getDate() {
return date;
}
public void setDate(Date date) {
this.date = date;
}
public Long getGroupId() {
return groupId;
}
public void setGroupId(Long groupId) {
this.groupId = groupId;
}
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
Info info = (Info) o;
return Objects.equals(id, info.id) &&
Objects.equals(date, info.date) &&
Objects.equals(groupId, info.groupId);
}
@Override
public int hashCode() {
return Objects.hash(id, date, groupId);
}
@Override
public String toString() {
final StringBuilder sb = new StringBuilder("Info{");
sb.append("id=").append(id);
sb.append(", date=").append(date);
sb.append(", groupId=").append(groupId);
sb.append('}');
return sb.toString();
}
}
java java-8 java-stream
java java-8 java-stream
edited Nov 5 at 15:38
nullpointer
34.1k1069137
34.1k1069137
asked Nov 5 at 12:32
FreeOnGoo
825
825
There's no inherent virtue to aStream
; they should be used to make code easier to read. This might be a case where a for-loop is better than a stream.
– erickson
Nov 6 at 22:23
add a comment |
There's no inherent virtue to aStream
; they should be used to make code easier to read. This might be a case where a for-loop is better than a stream.
– erickson
Nov 6 at 22:23
There's no inherent virtue to a
Stream
; they should be used to make code easier to read. This might be a case where a for-loop is better than a stream.– erickson
Nov 6 at 22:23
There's no inherent virtue to a
Stream
; they should be used to make code easier to read. This might be a case where a for-loop is better than a stream.– erickson
Nov 6 at 22:23
add a comment |
3 Answers
3
active
oldest
votes
up vote
10
down vote
accepted
I can’t see anything simpler than
List<Info> listResult = Stream.concat(
listInfo.stream()
.filter(info -> info.getDate().getTime() < date.getTime())
.collect(Collectors.toMap(Info::getGroupId, Function.identity(),
BinaryOperator.maxBy(Comparator.comparing(Info::getDate))))
.values().stream(),
listInfo.stream()
.filter(info -> info.getDate().getTime() >= date.getTime())
)
.collect(Collectors.toList());
as these two operations are fundamentally different. Building a Map
in the first step is unavoidable, as it will be used to identify the items with equal getGroupId
property.
That said, you should consider switching from using Date
to the java.time
API.
add a comment |
up vote
6
down vote
Yes, you can merge the two conditions by using the partitioningBy collector as follows:
List<Info> resultSet =
listInfo.stream()
.collect(collectingAndThen(partitioningBy(info -> info.getDate().getTime() < date.getTime()),
map -> Stream.concat(map.get(true)
.stream()
.collect(toMap(Info::getGroupId,
Function.identity(),
(Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2))
.values().stream(), map.get(false).stream())
.collect(Collectors.toCollection(ArrayList::new))));
This essentially uses the partitioningBy
collector to organise the elements in such a way that all the elements passing the criteria info.getDate().getTime() < date.getTime()
aswell as where it's false i.e. where info -> info.getDate().getTime() >= date.getTime()
is true into a Map<Boolean, List<T>>
.
Further, we utilise the collectingAndThen
collector to apply a finishing function upon the Map<Boolean, List<T>>
returned by the partitioningBy
collector, in this case we concatenate the result of the applying the logic of:
.collect(Collectors.groupingBy(Info::getGroupId,
Collectors.collectingAndThen(Collectors.reducing((Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2),
Optional::get))))
.values();
which I've simplified to:
.collect(toMap(Info::getGroupId, Function.identity(), (Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2)))
.values();
with the elements returned where info.getDate().getTime() < date.getTime()
returned false (map.get(false).stream()
).
Finally, we collect the result into a ArrayList
implementation with the toCollection
collector.
add a comment |
up vote
1
down vote
Another approach (even more verbose in definition but much less verbose at use site) is to create a custom Collector
:
List<Info> listResult = listInfo.stream().collect(dateThresholdCollector(date));
where
private static Collector<Info, ?, List<Info>> dateThresholdCollector(Date date) {
return Collector.of(
() -> new ThresholdInfoAccumulator(date), ThresholdInfoAccumulator::accept,
ThresholdInfoAccumulator::combine, ThresholdInfoAccumulator::addedInfos
);
}
and
class ThresholdInfoAccumulator {
private final Date date;
private final List<Info> addedInfos = new ArrayList<>();
ThresholdInfoAccumulator(Date date) {
this.date = date;
}
List<Info> addedInfos() {
return addedInfos;
}
ThresholdInfoAccumulator accept(Info newInfo) {
if (canAdd(newInfo)) {
addedInfos.add(newInfo);
}
return this;
}
boolean canAdd(Info newInfo) {
if (newInfo.getDate().compareTo(date) < 0) { // lower date - max date by groupId
return addedInfos.removeIf(addedInfo -> isEarlierDateInSameGroup(addedInfo, newInfo));
}
return true; // greater or equal date - no change
}
private boolean isEarlierDateInSameGroup(Info addedInfo, Info newInfo) {
return addedInfo.getGroupId().equals(newInfo.getGroupId())
&& addedInfo.getDate().compareTo(newInfo.getDate()) < 0;
}
ThresholdInfoAccumulator combine(ThresholdInfoAccumulator other) {
other.addedInfos().forEach(this::accept);
return this;
}
}
Note: it won't be that effective if you have huge number of groups/infos because it does not group by getGroupId
(it iterates the entire list for every Info
to be added).
add a comment |
3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
10
down vote
accepted
I can’t see anything simpler than
List<Info> listResult = Stream.concat(
listInfo.stream()
.filter(info -> info.getDate().getTime() < date.getTime())
.collect(Collectors.toMap(Info::getGroupId, Function.identity(),
BinaryOperator.maxBy(Comparator.comparing(Info::getDate))))
.values().stream(),
listInfo.stream()
.filter(info -> info.getDate().getTime() >= date.getTime())
)
.collect(Collectors.toList());
as these two operations are fundamentally different. Building a Map
in the first step is unavoidable, as it will be used to identify the items with equal getGroupId
property.
That said, you should consider switching from using Date
to the java.time
API.
add a comment |
up vote
10
down vote
accepted
I can’t see anything simpler than
List<Info> listResult = Stream.concat(
listInfo.stream()
.filter(info -> info.getDate().getTime() < date.getTime())
.collect(Collectors.toMap(Info::getGroupId, Function.identity(),
BinaryOperator.maxBy(Comparator.comparing(Info::getDate))))
.values().stream(),
listInfo.stream()
.filter(info -> info.getDate().getTime() >= date.getTime())
)
.collect(Collectors.toList());
as these two operations are fundamentally different. Building a Map
in the first step is unavoidable, as it will be used to identify the items with equal getGroupId
property.
That said, you should consider switching from using Date
to the java.time
API.
add a comment |
up vote
10
down vote
accepted
up vote
10
down vote
accepted
I can’t see anything simpler than
List<Info> listResult = Stream.concat(
listInfo.stream()
.filter(info -> info.getDate().getTime() < date.getTime())
.collect(Collectors.toMap(Info::getGroupId, Function.identity(),
BinaryOperator.maxBy(Comparator.comparing(Info::getDate))))
.values().stream(),
listInfo.stream()
.filter(info -> info.getDate().getTime() >= date.getTime())
)
.collect(Collectors.toList());
as these two operations are fundamentally different. Building a Map
in the first step is unavoidable, as it will be used to identify the items with equal getGroupId
property.
That said, you should consider switching from using Date
to the java.time
API.
I can’t see anything simpler than
List<Info> listResult = Stream.concat(
listInfo.stream()
.filter(info -> info.getDate().getTime() < date.getTime())
.collect(Collectors.toMap(Info::getGroupId, Function.identity(),
BinaryOperator.maxBy(Comparator.comparing(Info::getDate))))
.values().stream(),
listInfo.stream()
.filter(info -> info.getDate().getTime() >= date.getTime())
)
.collect(Collectors.toList());
as these two operations are fundamentally different. Building a Map
in the first step is unavoidable, as it will be used to identify the items with equal getGroupId
property.
That said, you should consider switching from using Date
to the java.time
API.
answered Nov 5 at 13:43
Holger
157k22216414
157k22216414
add a comment |
add a comment |
up vote
6
down vote
Yes, you can merge the two conditions by using the partitioningBy collector as follows:
List<Info> resultSet =
listInfo.stream()
.collect(collectingAndThen(partitioningBy(info -> info.getDate().getTime() < date.getTime()),
map -> Stream.concat(map.get(true)
.stream()
.collect(toMap(Info::getGroupId,
Function.identity(),
(Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2))
.values().stream(), map.get(false).stream())
.collect(Collectors.toCollection(ArrayList::new))));
This essentially uses the partitioningBy
collector to organise the elements in such a way that all the elements passing the criteria info.getDate().getTime() < date.getTime()
aswell as where it's false i.e. where info -> info.getDate().getTime() >= date.getTime()
is true into a Map<Boolean, List<T>>
.
Further, we utilise the collectingAndThen
collector to apply a finishing function upon the Map<Boolean, List<T>>
returned by the partitioningBy
collector, in this case we concatenate the result of the applying the logic of:
.collect(Collectors.groupingBy(Info::getGroupId,
Collectors.collectingAndThen(Collectors.reducing((Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2),
Optional::get))))
.values();
which I've simplified to:
.collect(toMap(Info::getGroupId, Function.identity(), (Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2)))
.values();
with the elements returned where info.getDate().getTime() < date.getTime()
returned false (map.get(false).stream()
).
Finally, we collect the result into a ArrayList
implementation with the toCollection
collector.
add a comment |
up vote
6
down vote
Yes, you can merge the two conditions by using the partitioningBy collector as follows:
List<Info> resultSet =
listInfo.stream()
.collect(collectingAndThen(partitioningBy(info -> info.getDate().getTime() < date.getTime()),
map -> Stream.concat(map.get(true)
.stream()
.collect(toMap(Info::getGroupId,
Function.identity(),
(Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2))
.values().stream(), map.get(false).stream())
.collect(Collectors.toCollection(ArrayList::new))));
This essentially uses the partitioningBy
collector to organise the elements in such a way that all the elements passing the criteria info.getDate().getTime() < date.getTime()
aswell as where it's false i.e. where info -> info.getDate().getTime() >= date.getTime()
is true into a Map<Boolean, List<T>>
.
Further, we utilise the collectingAndThen
collector to apply a finishing function upon the Map<Boolean, List<T>>
returned by the partitioningBy
collector, in this case we concatenate the result of the applying the logic of:
.collect(Collectors.groupingBy(Info::getGroupId,
Collectors.collectingAndThen(Collectors.reducing((Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2),
Optional::get))))
.values();
which I've simplified to:
.collect(toMap(Info::getGroupId, Function.identity(), (Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2)))
.values();
with the elements returned where info.getDate().getTime() < date.getTime()
returned false (map.get(false).stream()
).
Finally, we collect the result into a ArrayList
implementation with the toCollection
collector.
add a comment |
up vote
6
down vote
up vote
6
down vote
Yes, you can merge the two conditions by using the partitioningBy collector as follows:
List<Info> resultSet =
listInfo.stream()
.collect(collectingAndThen(partitioningBy(info -> info.getDate().getTime() < date.getTime()),
map -> Stream.concat(map.get(true)
.stream()
.collect(toMap(Info::getGroupId,
Function.identity(),
(Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2))
.values().stream(), map.get(false).stream())
.collect(Collectors.toCollection(ArrayList::new))));
This essentially uses the partitioningBy
collector to organise the elements in such a way that all the elements passing the criteria info.getDate().getTime() < date.getTime()
aswell as where it's false i.e. where info -> info.getDate().getTime() >= date.getTime()
is true into a Map<Boolean, List<T>>
.
Further, we utilise the collectingAndThen
collector to apply a finishing function upon the Map<Boolean, List<T>>
returned by the partitioningBy
collector, in this case we concatenate the result of the applying the logic of:
.collect(Collectors.groupingBy(Info::getGroupId,
Collectors.collectingAndThen(Collectors.reducing((Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2),
Optional::get))))
.values();
which I've simplified to:
.collect(toMap(Info::getGroupId, Function.identity(), (Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2)))
.values();
with the elements returned where info.getDate().getTime() < date.getTime()
returned false (map.get(false).stream()
).
Finally, we collect the result into a ArrayList
implementation with the toCollection
collector.
Yes, you can merge the two conditions by using the partitioningBy collector as follows:
List<Info> resultSet =
listInfo.stream()
.collect(collectingAndThen(partitioningBy(info -> info.getDate().getTime() < date.getTime()),
map -> Stream.concat(map.get(true)
.stream()
.collect(toMap(Info::getGroupId,
Function.identity(),
(Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2))
.values().stream(), map.get(false).stream())
.collect(Collectors.toCollection(ArrayList::new))));
This essentially uses the partitioningBy
collector to organise the elements in such a way that all the elements passing the criteria info.getDate().getTime() < date.getTime()
aswell as where it's false i.e. where info -> info.getDate().getTime() >= date.getTime()
is true into a Map<Boolean, List<T>>
.
Further, we utilise the collectingAndThen
collector to apply a finishing function upon the Map<Boolean, List<T>>
returned by the partitioningBy
collector, in this case we concatenate the result of the applying the logic of:
.collect(Collectors.groupingBy(Info::getGroupId,
Collectors.collectingAndThen(Collectors.reducing((Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2),
Optional::get))))
.values();
which I've simplified to:
.collect(toMap(Info::getGroupId, Function.identity(), (Info i1, Info i2) -> i1.getDate().getTime() > i2.getDate().getTime() ? i1 : i2)))
.values();
with the elements returned where info.getDate().getTime() < date.getTime()
returned false (map.get(false).stream()
).
Finally, we collect the result into a ArrayList
implementation with the toCollection
collector.
answered Nov 5 at 13:39
Aomine
31.1k52653
31.1k52653
add a comment |
add a comment |
up vote
1
down vote
Another approach (even more verbose in definition but much less verbose at use site) is to create a custom Collector
:
List<Info> listResult = listInfo.stream().collect(dateThresholdCollector(date));
where
private static Collector<Info, ?, List<Info>> dateThresholdCollector(Date date) {
return Collector.of(
() -> new ThresholdInfoAccumulator(date), ThresholdInfoAccumulator::accept,
ThresholdInfoAccumulator::combine, ThresholdInfoAccumulator::addedInfos
);
}
and
class ThresholdInfoAccumulator {
private final Date date;
private final List<Info> addedInfos = new ArrayList<>();
ThresholdInfoAccumulator(Date date) {
this.date = date;
}
List<Info> addedInfos() {
return addedInfos;
}
ThresholdInfoAccumulator accept(Info newInfo) {
if (canAdd(newInfo)) {
addedInfos.add(newInfo);
}
return this;
}
boolean canAdd(Info newInfo) {
if (newInfo.getDate().compareTo(date) < 0) { // lower date - max date by groupId
return addedInfos.removeIf(addedInfo -> isEarlierDateInSameGroup(addedInfo, newInfo));
}
return true; // greater or equal date - no change
}
private boolean isEarlierDateInSameGroup(Info addedInfo, Info newInfo) {
return addedInfo.getGroupId().equals(newInfo.getGroupId())
&& addedInfo.getDate().compareTo(newInfo.getDate()) < 0;
}
ThresholdInfoAccumulator combine(ThresholdInfoAccumulator other) {
other.addedInfos().forEach(this::accept);
return this;
}
}
Note: it won't be that effective if you have huge number of groups/infos because it does not group by getGroupId
(it iterates the entire list for every Info
to be added).
add a comment |
up vote
1
down vote
Another approach (even more verbose in definition but much less verbose at use site) is to create a custom Collector
:
List<Info> listResult = listInfo.stream().collect(dateThresholdCollector(date));
where
private static Collector<Info, ?, List<Info>> dateThresholdCollector(Date date) {
return Collector.of(
() -> new ThresholdInfoAccumulator(date), ThresholdInfoAccumulator::accept,
ThresholdInfoAccumulator::combine, ThresholdInfoAccumulator::addedInfos
);
}
and
class ThresholdInfoAccumulator {
private final Date date;
private final List<Info> addedInfos = new ArrayList<>();
ThresholdInfoAccumulator(Date date) {
this.date = date;
}
List<Info> addedInfos() {
return addedInfos;
}
ThresholdInfoAccumulator accept(Info newInfo) {
if (canAdd(newInfo)) {
addedInfos.add(newInfo);
}
return this;
}
boolean canAdd(Info newInfo) {
if (newInfo.getDate().compareTo(date) < 0) { // lower date - max date by groupId
return addedInfos.removeIf(addedInfo -> isEarlierDateInSameGroup(addedInfo, newInfo));
}
return true; // greater or equal date - no change
}
private boolean isEarlierDateInSameGroup(Info addedInfo, Info newInfo) {
return addedInfo.getGroupId().equals(newInfo.getGroupId())
&& addedInfo.getDate().compareTo(newInfo.getDate()) < 0;
}
ThresholdInfoAccumulator combine(ThresholdInfoAccumulator other) {
other.addedInfos().forEach(this::accept);
return this;
}
}
Note: it won't be that effective if you have huge number of groups/infos because it does not group by getGroupId
(it iterates the entire list for every Info
to be added).
add a comment |
up vote
1
down vote
up vote
1
down vote
Another approach (even more verbose in definition but much less verbose at use site) is to create a custom Collector
:
List<Info> listResult = listInfo.stream().collect(dateThresholdCollector(date));
where
private static Collector<Info, ?, List<Info>> dateThresholdCollector(Date date) {
return Collector.of(
() -> new ThresholdInfoAccumulator(date), ThresholdInfoAccumulator::accept,
ThresholdInfoAccumulator::combine, ThresholdInfoAccumulator::addedInfos
);
}
and
class ThresholdInfoAccumulator {
private final Date date;
private final List<Info> addedInfos = new ArrayList<>();
ThresholdInfoAccumulator(Date date) {
this.date = date;
}
List<Info> addedInfos() {
return addedInfos;
}
ThresholdInfoAccumulator accept(Info newInfo) {
if (canAdd(newInfo)) {
addedInfos.add(newInfo);
}
return this;
}
boolean canAdd(Info newInfo) {
if (newInfo.getDate().compareTo(date) < 0) { // lower date - max date by groupId
return addedInfos.removeIf(addedInfo -> isEarlierDateInSameGroup(addedInfo, newInfo));
}
return true; // greater or equal date - no change
}
private boolean isEarlierDateInSameGroup(Info addedInfo, Info newInfo) {
return addedInfo.getGroupId().equals(newInfo.getGroupId())
&& addedInfo.getDate().compareTo(newInfo.getDate()) < 0;
}
ThresholdInfoAccumulator combine(ThresholdInfoAccumulator other) {
other.addedInfos().forEach(this::accept);
return this;
}
}
Note: it won't be that effective if you have huge number of groups/infos because it does not group by getGroupId
(it iterates the entire list for every Info
to be added).
Another approach (even more verbose in definition but much less verbose at use site) is to create a custom Collector
:
List<Info> listResult = listInfo.stream().collect(dateThresholdCollector(date));
where
private static Collector<Info, ?, List<Info>> dateThresholdCollector(Date date) {
return Collector.of(
() -> new ThresholdInfoAccumulator(date), ThresholdInfoAccumulator::accept,
ThresholdInfoAccumulator::combine, ThresholdInfoAccumulator::addedInfos
);
}
and
class ThresholdInfoAccumulator {
private final Date date;
private final List<Info> addedInfos = new ArrayList<>();
ThresholdInfoAccumulator(Date date) {
this.date = date;
}
List<Info> addedInfos() {
return addedInfos;
}
ThresholdInfoAccumulator accept(Info newInfo) {
if (canAdd(newInfo)) {
addedInfos.add(newInfo);
}
return this;
}
boolean canAdd(Info newInfo) {
if (newInfo.getDate().compareTo(date) < 0) { // lower date - max date by groupId
return addedInfos.removeIf(addedInfo -> isEarlierDateInSameGroup(addedInfo, newInfo));
}
return true; // greater or equal date - no change
}
private boolean isEarlierDateInSameGroup(Info addedInfo, Info newInfo) {
return addedInfo.getGroupId().equals(newInfo.getGroupId())
&& addedInfo.getDate().compareTo(newInfo.getDate()) < 0;
}
ThresholdInfoAccumulator combine(ThresholdInfoAccumulator other) {
other.addedInfos().forEach(this::accept);
return this;
}
}
Note: it won't be that effective if you have huge number of groups/infos because it does not group by getGroupId
(it iterates the entire list for every Info
to be added).
answered Nov 5 at 13:55
Tomasz Linkowski
2,630821
2,630821
add a comment |
add a comment |
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There's no inherent virtue to a
Stream
; they should be used to make code easier to read. This might be a case where a for-loop is better than a stream.– erickson
Nov 6 at 22:23