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Add experimental support for first/last for double/float/long #10702 #14462

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merged 17 commits into from
Dec 12, 2023

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ankit0811
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@ankit0811 ankit0811 commented Jun 21, 2023

Fixes #10702

Description

This PR revives #10949 which address issue #10702 by adding support for doubleLast, doubleFirst, FloatLast, FloatFirst, longLast and longFirst.

We now support Numeric Last/First data types while ingestion and native query (for MSQ as well)

Ingestion

  • using spec we do support aggregation behavior for Double/Float and Long last/first column types.
  • this is still pending change on the UI to be supported (reverted PR) which will be taken part as a follow-up PR

Query

  • Querying this data type is not yet supported in SQL as we do require some calcite changes (tobe done in a follow-up PR)
  • We can use native json spec query to obtain teh numeric Last and first value from the ingested column
    usage:
{
      "type": "doubleLast",
      "name": "a3",
      "fieldName": "last_double_added", // while ingesting this column is of type DoubleLast
      "timeColumn": "__time"
}

Release note


Key changed/added classes in this PR
  • AbstractSerializableLongObjectPairSerde abstract class to share serde between double/float/long
  • AbstractSerializablePairLongObjectBufferStore.java
  • AbstractSerializablePairLongObjectColumnHeader.java
  • AbstractSerializablePairLongObjectColumnSerializer.java
  • AbstractSerializablePairLongObjectDeltaEncodedStagedSerde.java
  • AbstractSerializablePairLongObjectSimpleStagedSerde.java
  • SerializablePairLongDoubleComplexMetricSerde for double
  • SerializablePairLongFloatComplexMetricSerde for float
  • SerializablePairLongStringComplexMetricSerde for long
  • GenericFirstAggregateCombiner first agg combiner to share between double/float/long
  • GenericLastAggregateCombiner first agg combiner to share between double/float/long
  • DoubleFirstAggregatorFactory, DoubleLastAggregatorFactory
  • FloatFirstAggregatorFactory, FloatLastAggregatorFactory
  • LongFirstAggregatorFactory, LongLastAggregatorFactory

Further introduces new ColumnType

  • serializablePairLongDouble
  • serializablePairLongFloat
  • serializablePairLongString

Post suggestions, we are no longer using GenericIndexed. Using the pattern defined in SerializablePairLongStringComplexMetricSerde we observed an improvement of 40% in terms of storage (These number are against ingestion of 1 days worth of wikiticker data)

To-Do
These will be taken up in a follow-up PR

  • Add ingestion support from UI for first/last types
  • SQL compatibility for querying (latest/earliest) the new ingestion type (Today this is queryable via native json queries not via sql. Needs more discussion on making this SQL compatible)

This PR has:

  • been self-reviewed.
  • added documentation for new or modified features or behaviors.
  • a release note entry in the PR description.
  • added Javadocs for most classes and all non-trivial methods. Linked related entities via Javadoc links.
  • added or updated version, license, or notice information in licenses.yaml
  • added comments explaining the "why" and the intent of the code wherever would not be obvious for an unfamiliar reader.
  • added unit tests or modified existing tests to cover new code paths, ensuring the threshold for code coverage is met.
  • added integration tests.
  • been tested in a test Druid cluster.

@ankit0811 ankit0811 force-pushed the feature_FirstLast_DoubleFLoatLong branch from 7a39e3e to 32bca40 Compare June 22, 2023 07:47
@abhishekagarwal87
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Thank you @ankit0811 for reviving this PR. I will review this soon.

@ankit0811
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@abhishekagarwal87 I missed adding the fold logic in NumericLastVectorAggregator::aggregator
Will update the PR soon

@LakshSingla
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LakshSingla commented Jun 28, 2023

Thanks @ankit0811 for the PR!
This will also allow MSQ to use these aggregators for ingestion and querying. We should update the MSQ's limitations and the CalciteQueryTests ignored by MSQ once this PR is merged in a follow-up PR (after testing).

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Thanks for raising this PR!! I am relatively unfamiliar with the complex column's serde and am still going through the implementation, however, I have a few high-level comments, based on my understanding of the StringFirst/Last aggregators:

  1. In the deserializeColumn, we should allocate the first byte for a version number. This would help if we decide to update the strategy down the line and want backward compatibility.

  2. The current StringFirst/Last comparators use delta encoding and compression on the numeric column to reduce the size. Also, the PR (Improve String Last/First Storage Efficiency #12879) which introduced this change also added a few classes which help in this. I suppose that we would want it sometime. The versioning as mentioned above would help in making these changes if we decide that we don't want it now. However, the complexity of changing from one version to another is high and we require backward compatibility therefore we should question if that should be done in the original PR itself (check this comment:

    /**
    * This is a configuration parameter to allow for turning on compression. It is a hack, it would be significantly
    * better if this could be delivered via properties. The number one reason this is a hack is because it reads
    * the System.getProperty which doesn't actually have runtime.properties files put into it, so this setting
    * could be set in runtime.properties and this code wouldn't see it, because that's not how it is wired up.
    *
    * The intent of this parameter is so that Druid 25 can be released using the legacy serialization format. This
    * will allow us to get code released that can *read* both the legacy and the new format. Then, in Druid 26,
    * we can completely eliminate this boolean and start to only *write* the new format, in which case this
    * hack of a configuration property disappears.
    */
    private static final boolean COMPRESSION_ENABLED =
    Boolean.parseBoolean(System.getProperty("druid.columns.pairLongString.compressed", "false"));
    )

  3. Can we refactor the preexisting LongString serde classes to be subclasses of the newly introduced AbstractSerializableLongObjectPairSerde? I see that there are some similarities in the methods. In any case, it would be helpful if all of them are under the same umbrella, and we can further categorize the newly added classes as children of AbstractSerializableLongNumbericPairSerde

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Thanks for this PR. I am still going over this and will add my comments as I go over the rest.

{
double firstValue;

public DoubleFirstAggregator(BaseLongColumnValueSelector timeSelector, BaseDoubleColumnValueSelector valueSelector)
public DoubleFirstAggregator(BaseLongColumnValueSelector timeSelector, ColumnValueSelector valueSelector, boolean needsFoldCheck)
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Does double first need a fold check ?

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I believe so. Let me know if I am mistaken

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@somu-imply I am not completely aware of the foldCheck, which implementation of the selectors produces results that cannot be optimized? Also, is there any particular reason that double won't require the check, since it seems analogous to what StringFirst et al. are doing?

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Still confused as to why doubles wouldn't require a folds check.

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It should require a folds check in case of rollups I think.

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Thanks for raising this PR!! I am relatively unfamiliar with the complex column's serde and am still going through the implementation, however, I have a few high-level comments, based on my understanding of the StringFirst/Last aggregators:

  1. In the deserializeColumn, we should allocate the first byte for a version number. This would help if we decide to update the strategy down the line and want backward compatibility.
  2. The current StringFirst/Last comparators use delta encoding and compression on the numeric column to reduce the size. Also, the PR (Improve String Last/First Storage Efficiency #12879) which introduced this change also added a few classes which help in this. I suppose that we would want it sometime. The versioning as mentioned above would help in making these changes if we decide that we don't want it now. However, the complexity of changing from one version to another is high and we require backward compatibility therefore we should question if that should be done in the original PR itself (check this comment:
    /**
    * This is a configuration parameter to allow for turning on compression. It is a hack, it would be significantly
    * better if this could be delivered via properties. The number one reason this is a hack is because it reads
    * the System.getProperty which doesn't actually have runtime.properties files put into it, so this setting
    * could be set in runtime.properties and this code wouldn't see it, because that's not how it is wired up.
    *
    * The intent of this parameter is so that Druid 25 can be released using the legacy serialization format. This
    * will allow us to get code released that can *read* both the legacy and the new format. Then, in Druid 26,
    * we can completely eliminate this boolean and start to only *write* the new format, in which case this
    * hack of a configuration property disappears.
    */
    private static final boolean COMPRESSION_ENABLED =
    Boolean.parseBoolean(System.getProperty("druid.columns.pairLongString.compressed", "false"));

    )
  3. Can we refactor the preexisting LongString serde classes to be subclasses of the newly introduced AbstractSerializableLongObjectPairSerde? I see that there are some similarities in the methods. In any case, it would be helpful if all of them are under the same umbrella, and we can further categorize the newly added classes as children of AbstractSerializableLongNumbericPairSerde

Best if we take this in a separate PR? else it will be too big a PR to be reviewed. It already touches quite a few classes

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Best if we take this in a separate PR? else it will be too big a PR to be reviewed. It already touches quite a few classes

Seems reasonable to me, we can mark this as an improvement once we get the functionality in.

@ankit0811 ankit0811 force-pushed the feature_FirstLast_DoubleFLoatLong branch from daabc4e to e35a906 Compare August 2, 2023 19:35
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Thanks for resolving the merge conflicts and the comments. I'll test it from MSQ's perspective and check if it works fine with MSQ queries in a couple of days.

@LakshSingla LakshSingla added Feature Release Notes Area - Segment Format and Ser/De Area - Ingestion Area - MSQ For multi stage queries - https://github.com/apache/druid/issues/12262 labels Aug 4, 2023
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I pulled in the patch and tested the changes out for MSQ, and the queries are now working, which didn't due to lack of serde, therefore confirming that this indeed unblocks EARLIEST and LATEST on MSQ 🚀

Leaving a final set of review comments from my side. Thanks for being patient and receptive during the review process :)

return new byte[]{};
}

ByteBuffer bbuf = ByteBuffer.allocate(Long.BYTES + Byte.BYTES + Float.BYTES);
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Similar comment as above, in case it is null, we should avoid allocating the space for Float.BYTES. (Should apply for the remaining factories as well)

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imply-cheddar commented Aug 8, 2023

The ComplexMetricSerde objects in this PR are all using the GenericIndexed method of doing things. That creates really large columns.

There is a better way that the stringLast/First aggregators already use, can we please adjust the ComplexMetricSerde implementations to align with the pattern followed in SerializablePairLongStringComplexMetricSerde instead? Specifically in how that implements getSerializer() and deserializeColumn(). There are code paths for compatibility that use the GenericIndexed stuff, the pattern that we want to follow is the ones that use SerializableLongPairStringColumnSerializer and SerializablePairLongStringComplexColumn.Builder respectively.

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Generally speaking, I don't believe that we should merge the code with the GenericIndexed method of generating the columns. That's going to create the need to always support that. We have a better way to store things (the way that the String versions do it) and we shoudl follow those instead. If we really want to do these in two PRs, I'd suggest leaving this PR as is and create another PR on top of it to switch the serde around and then merge them in quick succession.

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There is a better way that the stringLast/First aggregators already use, can we please adjust the ComplexMetricSerde implementations to align with the pattern followed in SerializablePairLongStringComplexMetricSerde instead? Specifically in how that implements getSerializer() and deserializeColumn(). There are code paths for compatibility that use the GenericIndexed stuff, the pattern that we want to follow is the ones that use SerializableLongPairStringColumnSerializer and SerializablePairLongStringComplexColumn.Builder respectively.

Random drive-by comment, but I don't really think that is the best pattern to use here either though, since the pairs here are fixed width and so a much more appropriate way of compressing them that doesn't involve storing offsets separately could be used...

@clintropolis clintropolis mentioned this pull request Aug 18, 2023
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ankit0811 commented Aug 22, 2023

@imply-cheddar a qq for clarifications since this part of code is new to me

  1. the current SerializablePairLongStringComplexColumn.Builder has a version check. I am assuming this is not required for first/last numeric type implementation. is the assumption correct here?

if (foldNeeded) {
final SerializablePair<Long, Number> inPair = (SerializablePair<Long, Number>) objectsWhichMightBeNumeric[row];
if (useDefault || inPair != null) {
if (inPair.lhs != null && inPair.lhs < firstTime) {

Check warning

Code scanning / CodeQL

Dereferenced variable may be null Warning

Variable
inPair
may be null at this access as suggested by
this
null guard.
if (foldNeeded) {
final SerializablePair<Long, Number> inPair = (SerializablePair<Long, Number>) objectsWhichMightBeNumeric[row];
if (useDefault || inPair != null) {
if (inPair.lhs != null && inPair.lhs >= lastTime) {

Check warning

Code scanning / CodeQL

Dereferenced variable may be null Warning

Variable
inPair
may be null at this access as suggested by
this
null guard.
@ankit0811 ankit0811 requested a review from LakshSingla October 17, 2023 20:14
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Will we see this in Druid 28? I see myself back on the need for a doubleLast or longFirst for way too long

@ankit0811 ankit0811 requested a review from somu-imply October 25, 2023 05:40
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@daniel-imgarena The branch for Druid 28 has been cut, and only release blockers & regressions are allowed at this point. Unfortunately, we won't be seeing this in the 28 release, since it's a new feature.

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Leaving a partial review as of now, but there are two main comments, apart from the line items:

  1. A lot of the abstract methods for serde & aggregators can be merged with the string's methods without any tweaking (I suppose), since they don't rely on the numeric properties of these aggregators. We should do that, otherwise, there will be a lot of code duplication. Also, one would need to keep track of both the classes (abstract ones & the string ones) while fixing bugs or making any improvements.
  2. Thanks for taking the time to rewrite without using the GenericIndexed. I am curious if there's any benchmarking that you did or if there was a performance/size benefit that you observed from the change.

}

/**
* Returns whether an object *might* contain SerializablePairLongString objects.
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Outdated javadoc

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It is still outdated

{
double firstValue;

public DoubleFirstAggregator(BaseLongColumnValueSelector timeSelector, BaseDoubleColumnValueSelector valueSelector)
public DoubleFirstAggregator(BaseLongColumnValueSelector timeSelector, ColumnValueSelector valueSelector, boolean needsFoldCheck)
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Still confused as to why doubles wouldn't require a folds check.

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The String methods could also inherit from this class I suppose.

Comment on lines 179 to 180
if (capabilities != null) {
return new DoubleFirstVectorAggregator(timeSelector, vSelector);
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Why is this check required? I don't think we are using the capabilities inside the aggregator

Comment on lines 168 to 176
VectorObjectSelector objectSelector = ExpressionVectorSelectors.castValueSelectorToObject(
columnSelectorFactory.getReadableVectorInspector(),
fieldName,
valueSelector,
capabilities.toColumnType(),
ColumnType.DOUBLE
);
return new DoubleFirstVectorAggregator(timeSelector, objectSelector);
}
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I am not sure if this is correct. If the type is numeric, why do we need an explicit cast to Double. I could be wrong, but this seems kinda suspicious.

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This is the same code flow as StringFirstAggregatorFactory.

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With the string factory, we'd need to check if it is of a numeric type and cast if so. But if it is a numeric, then it shouldn't be the case, at least for DOUBLE objects. Also, if it is a String aggregator, now we return a DoubleFirstVectorAggregator (if capabilities correspond to String capabilities).

@@ -164,7 +215,7 @@ void updateTimeWithNull(ByteBuffer buf, int position, long time)
* Abstract function which needs to be overridden by subclasses to set the
* latest value in the buffer depending on the datatype
*/
abstract void putValue(ByteBuffer buf, int position, int index);
abstract void putValue(ByteBuffer buf, int position, Number number);
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Let's revert this change if we can. It will lead to some duplication, however, this will lead to the boxing of the primitives, which is what the column selectors aim to reduce (if they can). Therefore there are separate methods like isNull + getLong which are preferred instead of getObject because the former doesn't auto-box the primitive variable to an object.

*/
void updateTimeWithValue(ByteBuffer buf, int position, long time, int index)
void updateTimeWithValue(ByteBuffer buf, int position, long time, Number number)
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Autoboxing alert, as mentioned in the other comment. Let's see if we can get away without this change.

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It might not be as clean as the current code, however, there shouldn't be a lot of duplication.

if (StringFirstAggregatorFactory.TIME_COMPARATOR.compare(lastValue, newValue) < 0) {
lastValue = (SerializablePairLongString) selector.getObject();
T newValue = (T) selector.getObject();
if (Longs.compare(lastValue.lhs, newValue.lhs) <= 0) {
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Why have we converted it from '<' to '<='? If unintentional, let's keep it the same way. Although the logic is still sound, it can lead to changes in the results of the queries of the users who have been using the LATEST function.


public abstract class AbstractSerializablePairLongObjectColumnHeader<T extends SerializablePair<Long, ?>>
{
private static final int HEADER_SIZE_BYTES = 4;
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There's a missing comment here from the original code.

import java.io.IOException;
import java.nio.channels.WritableByteChannel;

public abstract class AbstractSerializablePairLongObjectColumnSerializer<T extends SerializablePair<Long, ?>> implements
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There are missing Javadocs from the original code. I do think that they should be migrated here.

import java.nio.ByteBuffer;
import java.util.Locale;

public abstract class AbstractSerializablePairLongObjectDeltaEncodedStagedSerde<T extends SerializablePair<Long, ?>> implements
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nit: Javadocs missing

}

/**
* Returns whether an object *might* contain SerializablePairLongString objects.
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It is still outdated

{
double firstValue;

public DoubleFirstAggregator(BaseLongColumnValueSelector timeSelector, BaseDoubleColumnValueSelector valueSelector)
public DoubleFirstAggregator(BaseLongColumnValueSelector timeSelector, ColumnValueSelector valueSelector, boolean needsFoldCheck)
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It should require a folds check in case of rollups I think.

rhsBytes = Float.BYTES;
}
}
return Long.BYTES + Byte.BYTES + rhsBytes;
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This computation is incorrect. For case when rhsObject is null, we'd only be storing Long.BYTES + Byte.BYTES, so this should be conditional.

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Suggested change
return Long.BYTES + Byte.BYTES + rhsBytes;
return Long.BYTES + Byte.BYTES + (rhsObject == null ? 0 : rhsBytes);

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@ankit0811 ankit0811 Dec 8, 2023

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rhsBytes is assigned to 0 and is assigned value only if rhsBytes is non null. So isn't it already conditional?

}
}

return (useIntegerDelta ? Integer.BYTES : Long.BYTES) + Byte.BYTES + rhsBytes;
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This should be conditional on whether the rhsObject is null or not.

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Suggested change
return (useIntegerDelta ? Integer.BYTES : Long.BYTES) + Byte.BYTES + rhsBytes;
return (useIntegerDelta ? Integer.BYTES : Long.BYTES) + Byte.BYTES + (rhsObject == null ? 0 : rhsBytes);

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@LakshSingla thank you so much for reviewing this PR and being patient throughout the process. Have tried to address your comments let me know if theres any thing more left

}
};
selector = new BaseDoubleVectorValueSelector(new NoFilterVectorOffset(VALUES.length, 0, VALUES.length)
selector = new VectorObjectSelector()
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Curious if this change is required?

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Yes. It will be required as the selector can now be of either VectorObject (pair) or VectorValue (numeric).

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Thanks for the explanation

@LakshSingla
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Thanks for the patch @ankit0811.

I think there's some follow up that can be done, in this area

  1. Make sure string pairs work as expected with null & empty strings - This has been a regression before the patch, and I have raised a PR for the same
  2. Make the EARLIEST and the LATEST work with SQL
  3. Add tests for MSQ
  4. Look for some cleaner abstractions

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LakshSingla commented Dec 11, 2023

Can you please update the description with the release note

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I still believe that we can clean up the code a bit further if we get rid of the SerializablePairLongString abstractions and keep them as generics, however, I don't know what entails such a change. That would allow the reuse of multiple classes. However, that will be taken in a follow up PR, so its a go-ahead from my side.

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cryptoe commented Dec 12, 2023

SInce we have identified the caveats, we can merge this and work on it in a follow up PR.
Thanks @ankit0811 and @LakshSingla for the PR and reviews.

@cryptoe cryptoe merged commit 8735d02 into apache:master Dec 12, 2023
86 checks passed
@cryptoe cryptoe changed the title Add support for first/last for double/float/long #10702 Add experimental support for first/last for double/float/long #10702 Dec 12, 2023
@LakshSingla LakshSingla added this to the 29.0.0 milestone Jan 29, 2024
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DoubleFirstAggregatorFactory is not supported during ingestion for rollup
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