[PR] Tighten up IndexSortSortedNumericDocValuesRangeQuery index sort validation [lucene]

2024-11-01 Thread via GitHub


gsmiller opened a new pull request, #13973:
URL: https://github.com/apache/lucene/pull/13973

   ### Description
   Small refactoring to remove some duplicated code around index sort 
loading/validation and to improve readability (IMO anyway).


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Re: [PR] Avoid reload block when seeking backward in SegmentTermsEnum. [lucene]

2024-11-01 Thread via GitHub


github-actions[bot] commented on PR #13253:
URL: https://github.com/apache/lucene/pull/13253#issuecomment-2452749686

   This PR has not had activity in the past 2 weeks, labeling it as stale. If 
the PR is waiting for review, notify the d...@lucene.apache.org list. Thank you 
for your contribution!


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Re: [PR] A few small tweaks to VectorUtil#findNextGEQ [lucene]

2024-11-01 Thread via GitHub


gsmiller commented on code in PR #13972:
URL: https://github.com/apache/lucene/pull/13972#discussion_r1826036633


##
lucene/backward-codecs/src/java/org/apache/lucene/backward_codecs/lucene912/Lucene912PostingsReader.java:
##
@@ -1755,13 +1755,13 @@ static long readVLong15(DataInput in) throws 
IOException {
 }
   }
 
-  private static int findNextGEQ(long[] buffer, int length, long target, int 
from) {
-for (int i = from; i < length; ++i) {
+  private static int findNextGEQ(long[] buffer, long target, int from, int to) 
{

Review Comment:
   Made this change for consistency but don't have any strong feelings about 
it. If there's a preference to just leave it be, I'm fine reverting this file.



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Re: [PR] A few small tweaks to VectorUtil#findNextGEQ [lucene]

2024-11-01 Thread via GitHub


gsmiller commented on code in PR #13972:
URL: https://github.com/apache/lucene/pull/13972#discussion_r1826037886


##
lucene/core/src/java/org/apache/lucene/codecs/lucene101/Lucene101PostingsReader.java:
##
@@ -601,7 +599,7 @@ public int advance(int target) throws IOException {
 }
   }
 
-  int next = VECTOR_SUPPORT.findNextGEQ(docBuffer, docBufferSize, target, 
docBufferUpto);
+  int next = VectorUtil.findNextGEQ(docBuffer, target, docBufferUpto, 
docBufferSize);

Review Comment:
   @jpountz I made this change so that everything goes through `VectorUtil` and 
the `assert`. It also seemed a little more consistent with how we leverage 
`VectorUtil` vs. `VectorUtilSupport` elsewhere, but I'm not sure if you had a 
good reason for writing it the way you did. If there's a performance (or other) 
consideration here, I'd be happy to understand that better.



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Re: [PR] minor javadoc correction on VectorUtilSupport#findNextGEQ [lucene]

2024-11-01 Thread via GitHub


gsmiller commented on PR #13969:
URL: https://github.com/apache/lucene/pull/13969#issuecomment-2452189489

   Added an assertion and tweaked parameter naming as discussed here over in 
#13972.


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Re: [PR] Revert "Disjunction as CompetitiveIterator for numeric dynamic pruning (#13221)" [lucene]

2024-11-01 Thread via GitHub


javanna commented on code in PR #13971:
URL: https://github.com/apache/lucene/pull/13971#discussion_r1825756810


##
lucene/core/src/java/org/apache/lucene/util/IntArrayDocIdSet.java:
##
@@ -34,23 +34,15 @@ public final class IntArrayDocIdSet extends DocIdSet {
   private final int[] docs;
   private final int length;
 
-  /**
-   * Build an IntArrayDocIdSet by an int array and len.
-   *
-   * @param docs A docs array whose length need to be greater than the param 
len. It needs to be
-   * sorted from 0(inclusive) to the len(exclusive), and the len-th doc in 
docs need to be
-   * {@link DocIdSetIterator#NO_MORE_DOCS}.
-   * @param len The valid docs length in array.
-   */
-  public IntArrayDocIdSet(int[] docs, int len) {
-if (docs[len] != DocIdSetIterator.NO_MORE_DOCS) {
+  public IntArrayDocIdSet(int[] docs, int length) {

Review Comment:
   @jpountz this class used to be package private. With the revert that this PR 
applies to main, `TestBooleanOr` would be the only caller of this constructor 
outside of `o.a.l.util`, requiring it to be public. That looks odd, any chance 
we could update `TestBooleanOr` to not rely on this class being public?



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Re: [PR] Revert "Disjunction as CompetitiveIterator for numeric dynamic pruning (#13221)" [lucene]

2024-11-01 Thread via GitHub


javanna commented on PR #13971:
URL: https://github.com/apache/lucene/pull/13971#issuecomment-2451858027

   @gf2121 pinging you explicitly because you worked on #13221. Sadly, we 
observed some severe regressions caused by it, and we were not able to somehow 
adjust the updated algorithm to avoid those. We already reverted that commit in 
branch_10_0 for the Lucene 10.0 release,  and I hereby propose to do the same 
on main and branch_10x until we manage to fill the gap around the search after 
regressions. 


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Re: [PR] New JMH benchmark method - vdot8s that implement int8 dotProduct in C… [lucene]

2024-11-01 Thread via GitHub


msokolov commented on code in PR #13572:
URL: https://github.com/apache/lucene/pull/13572#discussion_r1825833969


##
lucene/core/src/java21/org/apache/lucene/internal/vectorization/PanamaVectorUtilSupport.java:
##
@@ -291,25 +296,125 @@ private float squareDistanceBody(float[] a, float[] b, 
int limit) {
 return res1.add(res2).reduceLanes(ADD);
   }
 
-  // Binary functions, these all follow a general pattern like this:
-  //
-  //   short intermediate = a * b;
-  //   int accumulator = (int)accumulator + (int)intermediate;
-  //
-  // 256 or 512 bit vectors can process 64 or 128 bits at a time, respectively
-  // intermediate results use 128 or 256 bit vectors, respectively
-  // final accumulator uses 256 or 512 bit vectors, respectively
-  //
-  // We also support 128 bit vectors, going 32 bits at a time.
-  // This is slower but still faster than not vectorizing at all.
-
+  /**
+   * This method SHOULD NOT be used directly when the native dot-product is 
enabled. This is because
+   * it allocates off-heap memory in the hot code-path and copies the input 
byte-vectors onto it.
+   * This is necessary even with Panama APIs because native code is given a 
pointer to a memory
+   * address and if the content at that address can be moved at anytime (by 
Java GC in case of heap
+   * allocated memory) then safety of the native computation cannot be 
guaranteed. If we try to pass
+   * MemorySegment backing on-heap memory to native code we get
+   * "java.lang.UnsupportedOperationException: Not a native address"
+   *
+   * Stack overflow thread:

Review Comment:
   Thanks this is helpful, but let's not permanently record the SO thread in 
the code comments



##
lucene/core/src/java21/org/apache/lucene/internal/vectorization/PanamaVectorUtilSupport.java:
##
@@ -291,25 +296,125 @@ private float squareDistanceBody(float[] a, float[] b, 
int limit) {
 return res1.add(res2).reduceLanes(ADD);
   }
 
-  // Binary functions, these all follow a general pattern like this:
-  //
-  //   short intermediate = a * b;
-  //   int accumulator = (int)accumulator + (int)intermediate;
-  //
-  // 256 or 512 bit vectors can process 64 or 128 bits at a time, respectively
-  // intermediate results use 128 or 256 bit vectors, respectively
-  // final accumulator uses 256 or 512 bit vectors, respectively
-  //
-  // We also support 128 bit vectors, going 32 bits at a time.
-  // This is slower but still faster than not vectorizing at all.
-
+  /**
+   * This method SHOULD NOT be used directly when the native dot-product is 
enabled. This is because
+   * it allocates off-heap memory in the hot code-path and copies the input 
byte-vectors onto it.
+   * This is necessary even with Panama APIs because native code is given a 
pointer to a memory
+   * address and if the content at that address can be moved at anytime (by 
Java GC in case of heap
+   * allocated memory) then safety of the native computation cannot be 
guaranteed. If we try to pass
+   * MemorySegment backing on-heap memory to native code we get
+   * "java.lang.UnsupportedOperationException: Not a native address"
+   *
+   * Stack overflow thread:
+   * 
https://stackoverflow.com/questions/69521289/jep-412-pass-a-on-heap-byte-array-to-native-code-getting-unsupportedoperatione
+   * explains the issue in more detail.
+   *
+   * Q1. Why did we enable the native code path here if its inefficient ? 
A1. So that it can be
+   * exercised in unit-tests to test correctness of underlying 
vectorized implementation in C
+   * without directly relying on preview Panama APIs. Without this, unit-tests 
would need to use
+   * reflection to 1) Get a method handle of {@link #dotProduct(MemorySegment, 
MemorySegment)} as it
+   * is not part of {@link VectorUtilSupport} 2) Get a method handle of a 
to-be-defined method that
+   * would copy byte[] to off-heap {@link MemorySegment} and return them as 
Objects 3) Invoke the
+   * method handle retrieved in 1) with Objects in 2) All doable but adds 
unnecessary complexity in
+   * the unit tests suite.
+   *
+   * Q2. Which method should HNSW scoring components use for computing 
dot-product in native code
+   * on byte-vectors? A2. They should use {@link #dotProduct(MemorySegment, 
MemorySegment)} directly
+   * and control the creation and reuse of off-heap MemorySegments as 
dotProduct is in the hot code
+   * path for both indexing and searching. It is easy to see that 
stored-vectors residing in
+   * Memory-mapped files can simply be accessed using {@link 
MemorySegment#asSlice(long, long,
+   * long)} which does not allocate new memory and does not require copying 
vector data onto JVM
+   * heap. For target-vector, copying to off-heap memory will still be needed 
but allocation can
+   * happen once per scorer.
+   *
+   * Q3. Should JMH benchmarks measure the performance of this method? A3. 
No, because they would
+   * be measuring the combined cost of memory-allocations and nati

Re: [PR] DocValuesSkipper implementation in IndexSortSorted [lucene]

2024-11-01 Thread via GitHub


gsmiller commented on code in PR #13886:
URL: https://github.com/apache/lucene/pull/13886#discussion_r1826241555


##
lucene/core/src/java/org/apache/lucene/search/IndexSortSortedNumericDocValuesRangeQuery.java:
##
@@ -397,106 +413,80 @@ private boolean matchAll(PointValues points, byte[] 
queryLowerPoint, byte[] quer
   }
 
   private IteratorAndCount getDocIdSetIteratorOrNullFromBkd(
-  LeafReaderContext context, DocIdSetIterator delegate) throws IOException 
{
-Sort indexSort = context.reader().getMetaData().sort();
+  LeafReader reader, NumericDocValues numericDocValues, DocValuesSkipper 
skipper)
+  throws IOException {
+if (skipper.docCount() != reader.maxDoc()) {
+  return null;
+}
+final Sort indexSort = reader.getMetaData().sort();
 if (indexSort == null
 || indexSort.getSort().length == 0
 || indexSort.getSort()[0].getField().equals(field) == false) {
   return null;
 }
 
+final int minDocID;
+final int maxDocID;
 final boolean reverse = indexSort.getSort()[0].getReverse();
-
-PointValues points = context.reader().getPointValues(field);

Review Comment:
   Looks like this comment still isn't addressed. Is this something you're 
still working on? If you have questions (or if you disagree with the 
suggestion) please let me know. Thanks!



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Re: [PR] DocValuesSkipper implementation in IndexSortSorted [lucene]

2024-11-01 Thread via GitHub


gsmiller commented on code in PR #13886:
URL: https://github.com/apache/lucene/pull/13886#discussion_r1826238079


##
lucene/core/src/java/org/apache/lucene/search/IndexSortSortedNumericDocValuesRangeQuery.java:
##
@@ -397,106 +413,80 @@ private boolean matchAll(PointValues points, byte[] 
queryLowerPoint, byte[] quer
   }
 
   private IteratorAndCount getDocIdSetIteratorOrNullFromBkd(
-  LeafReaderContext context, DocIdSetIterator delegate) throws IOException 
{
-Sort indexSort = context.reader().getMetaData().sort();
+  LeafReader reader, NumericDocValues numericDocValues, DocValuesSkipper 
skipper)
+  throws IOException {
+if (skipper.docCount() != reader.maxDoc()) {
+  return null;
+}
+final Sort indexSort = reader.getMetaData().sort();
 if (indexSort == null
 || indexSort.getSort().length == 0
 || indexSort.getSort()[0].getField().equals(field) == false) {
   return null;
 }
 
+final int minDocID;
+final int maxDocID;
 final boolean reverse = indexSort.getSort()[0].getReverse();
-
-PointValues points = context.reader().getPointValues(field);
-if (points == null) {
-  return null;
-}
-
-if (points.getNumDimensions() != 1) {
-  return null;
-}
-
-if (points.getBytesPerDimension() != Long.BYTES
-&& points.getBytesPerDimension() != Integer.BYTES) {
-  return null;
-}
-
-if (points.size() != points.getDocCount()) {
-  return null;
-}
-
-assert lowerValue <= upperValue;
-byte[] queryLowerPoint;
-byte[] queryUpperPoint;
-if (points.getBytesPerDimension() == Integer.BYTES) {
-  queryLowerPoint = IntPoint.pack((int) lowerValue).bytes;
-  queryUpperPoint = IntPoint.pack((int) upperValue).bytes;
-} else {
-  queryLowerPoint = LongPoint.pack(lowerValue).bytes;
-  queryUpperPoint = LongPoint.pack(upperValue).bytes;
-}
-if (matchNone(points, queryLowerPoint, queryUpperPoint)) {
-  return IteratorAndCount.empty();
-}
-if (matchAll(points, queryLowerPoint, queryUpperPoint)) {
-  int maxDoc = context.reader().maxDoc();
-  if (points.getDocCount() == maxDoc) {
-return IteratorAndCount.all(maxDoc);
-  } else {
-return IteratorAndCount.sparseRange(0, maxDoc, delegate);
-  }
-}
-
-int minDocId, maxDocId;
-final ByteArrayComparator comparator =
-ArrayUtil.getUnsignedComparator(points.getBytesPerDimension());
-
 if (reverse) {
-  minDocId = nextDoc(points.getPointTree(), queryUpperPoint, false, 
comparator, true) + 1;
-} else {
-  minDocId = nextDoc(points.getPointTree(), queryLowerPoint, true, 
comparator, false);
-  if (minDocId == -1) {
-// No matches
-return IteratorAndCount.empty();
+  if (skipper.maxValue() <= upperValue) {
+minDocID = 0;
+  } else {
+skipper.advance(Long.MIN_VALUE, upperValue);
+minDocID = nextDocSkipper(skipper.minDocID(0), numericDocValues, l -> 
l <= upperValue);
   }
-}
-
-if (reverse) {
-  maxDocId = nextDoc(points.getPointTree(), queryLowerPoint, true, 
comparator, true) + 1;
-  if (maxDocId == 0) {
-// No matches
-return IteratorAndCount.empty();
+  if (skipper.minValue() >= lowerValue) {
+maxDocID = skipper.docCount();
+  } else {
+skipper.advance(Long.MIN_VALUE, lowerValue);
+maxDocID = nextDocSkipper(skipper.minDocID(0), numericDocValues, l -> 
l < lowerValue);
   }
 } else {
-  maxDocId = nextDoc(points.getPointTree(), queryUpperPoint, false, 
comparator, false);
-  if (maxDocId == -1) {
-maxDocId = context.reader().maxDoc();
+  if (skipper.minValue() >= lowerValue) {
+minDocID = 0;
+  } else {
+skipper.advance(lowerValue, Long.MAX_VALUE);
+minDocID = nextDocSkipper(skipper.minDocID(0), numericDocValues, l -> 
l >= lowerValue);
+  }
+  if (skipper.maxValue() <= upperValue) {
+maxDocID = skipper.docCount();
+  } else {
+skipper.advance(upperValue, Long.MAX_VALUE);
+maxDocID = nextDocSkipper(skipper.minDocID(0), numericDocValues, l -> 
l > upperValue);
   }
 }
 
-if (minDocId == maxDocId) {
-  return IteratorAndCount.empty();
-}
-
-if ((points.getDocCount() == context.reader().maxDoc())) {
-  return IteratorAndCount.denseRange(minDocId, maxDocId);
-} else {
-  return IteratorAndCount.sparseRange(minDocId, maxDocId, delegate);
-}
+return minDocID == maxDocID
+? IteratorAndCount.empty()
+: IteratorAndCount.denseRange(minDocID, maxDocID);
   }
 
   private IteratorAndCount getDocIdSetIteratorOrNull(LeafReaderContext 
context) throws IOException {
 if (lowerValue > upperValue) {
   return IteratorAndCount.empty();
 }
 
-SortedNumericDocValues sortedNumericValues =
-DocValues.getSortedNumeric(context.reader(), field);
-NumericDocValu

Re: [I] [Discuss] What should we name the new aggregation engine? [lucene]

2024-11-01 Thread via GitHub


msokolov commented on issue #13965:
URL: https://github.com/apache/lucene/issues/13965#issuecomment-2452668213

   copy-pasting from the polling site:
   
   ```
   Facetron
   Agamemnon
   Analytics
   Count Dracula
   Aggie
   Bucketeer
   Gator
   Fusion
   Slurper
   Lustre
   Match-time Aggregates
   Maggregates
   The Maggregator
   Laggregator
   Ruby
   Gatheriffic
   ChopChop
   Muncher
   Magma
   Summator
   Faceting engine
   ```
   
   These are ordered by number of votes / entry order, but there were very few 
votes. I think mostly people just like saying names on the internet?  
   
   I think it might help if we said where the name would be used. Are we 
looking for a java package name? A name to use when saying - should I convert 
from facets to "xxx"? Clearly if it's the latter one, "Faceting engine" would 
be super confusing, although of course "smart+fast-facets" would be great. 


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Re: [PR] Rename NodeHash to FSTSuffixNodeCache + Javadoc improvement [lucene]

2024-11-01 Thread via GitHub


msokolov commented on PR #13259:
URL: https://github.com/apache/lucene/pull/13259#issuecomment-2452660151

   Thanks, this does seem much more explicit and helpful


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Re: [I] [Discuss] What should we name the new aggregation engine? [lucene]

2024-11-01 Thread via GitHub


stefanvodita commented on issue #13965:
URL: https://github.com/apache/lucene/issues/13965#issuecomment-2452683167

   > Are we looking for a java package name? A name to use when saying - should 
I convert from facets to "xxx"?
   
   The second onw is what I have in mind. Whether this new aggregation engine 
lives in its own package is up for debate. @epotyom was pointing out that it 
might end up having a dependency on the facets package in that case. I'd say 
let's leave aside that question until we're actually ready to promote it 
outside sandbox.


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Re: [PR] Rename NodeHash to FSTSuffixNodeCache + Javadoc improvement [lucene]

2024-11-01 Thread via GitHub


msokolov merged PR #13259:
URL: https://github.com/apache/lucene/pull/13259


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Re: [I] Significant performance regression with search after [lucene]

2024-11-01 Thread via GitHub


javanna commented on issue #13856:
URL: https://github.com/apache/lucene/issues/13856#issuecomment-2451717823

   I opened https://github.com/apache/lucene/pull/13971 


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Re: [I] Significant performance regression with search after [lucene]

2024-11-01 Thread via GitHub


javanna commented on issue #13856:
URL: https://github.com/apache/lucene/issues/13856#issuecomment-2451714216

   There has been little activity on this issue, I am leaning towards applying 
the revert of the change that caused the regression to branch_10x and main as 
well. I am anxious that we will forget and end up in the same situation as we 
were with the Lucene 10.0 release. 


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