dungba88 commented on code in PR #12624:
URL: https://github.com/apache/lucene/pull/12624#discussion_r1353826324
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lucene/core/src/java/org/apache/lucene/util/fst/BytesStore.java:
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@@ -21,19 +21,18 @@
import java.util.List;
import org.apache.lucene.store.DataInput;
import org.apache.lucene.store.DataOutput;
-import org.apache.lucene.util.Accountable;
import org.apache.lucene.util.RamUsageEstimator;
// TODO: merge with PagedBytes, except PagedBytes doesn't
// let you read while writing which FST needs
-class BytesStore extends DataOutput implements Accountable {
+class BytesStore extends FSTWriter {
Review Comment:
> Once FST.addNode completes, those written bytes are never altered?
More precisely, those bytes are never altered after `FSTCompiler.add`
completes. It seems we need to write all nodes of the input in reverse as a
whole. But yeah the BytesStore use the head of the buffer as scratch area.
> Hmm getReverseBytesReader is indeed a problem. I wonder how the [Tantivy
FST impl](https://blog.burntsushi.net/transducers/) deals with this?
It seems Tantivy segregate the building and the traverse of FST as 2
different entity. The FST Builder will just write the FST to a DataOutput and
not allow it to be read directly. I was thinking of this too, as currently we
are mixing up the writing and reading:
- Load a previously saved FST from a DataInput. This is read-only and is
fine, and it's how Tantivy FST is created as well.
- Construct a FST on-the-fly and use it right away. This is both read &
write and it uses BytesStore.
I'm kind of favoring the way Tantivy is doing, it's cleaner and more "facade
pattern". Maybe we could first refactor so that the FST created on the fly will
be written directly to a DataOutput, and then instead of using it directly, we
construct a FST from that DataOutput?
If we are doing that, then we can get rid of the `getReverseBytesReader`.
However one issue remains: we still need
`getReverseBytesReaderForSuffixSharing` for NodeHash. Or at least some
operation for random-access. I think Tantivy is using LRU cache for this in
write-through mode: write the node into both the DataOutput and the LRU at the
same time. This means we don't even need to read from the DataOutput, but it
won't be perfectly minimal (as there will be false-negative cache-miss). I
understand that there is the trade-off, but we might also need to support the
current minimalist mode.
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