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ci(java): build JNI release package #2516

Merged
merged 36 commits into from
Jul 13, 2024
Merged

ci(java): build JNI release package #2516

merged 36 commits into from
Jul 13, 2024

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eddyxu
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@eddyxu eddyxu commented Jun 24, 2024

Provide a Github action workflow to release multi-platform JNI.

We will keep releasing 0.0.x version until Java SDK has decent feature parity.

@github-actions github-actions bot added ci Github Action or Test issues java labels Jun 24, 2024
@eddyxu eddyxu changed the title ci: build JNI release package ci(java): build JNI release package Jun 24, 2024
@eddyxu eddyxu requested a review from LuQQiu June 24, 2024 18:22
@eddyxu eddyxu marked this pull request as ready for review June 24, 2024 20:05
@LuQQiu
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LuQQiu commented Jun 26, 2024

#2524
After add an extra step to set up nodejs 16 instead of default 20

      - name: Set up Node.js 16
        uses: actions/setup-node@v4
        with:
          node-version: '16'

the created jar can be used without the glibc issue
validated in linux x86 ubuntu 22 spark job

- .github/workflows/java-publish.yml

jobs:
macos-arm64:

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i felt like it should not be 3 jobs. but instead we should have 3 run matrix and at the very end we need to copy all 3 share lib (linux-x86, linux-arm, macos-arm) into the same fat jar?

this will still release 3 different JAR IIUC?

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yes, if we call mvn deploy in three different job, we have to release 3 different jars (with different names?).
I am not sure that mvn will resolve dependency based on the system, like what pypi does.

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we should have 3 run matrix and at the very end we need to copy all 3 share lib (linux-x86, linux-arm, macos-arm) into the same fat jar?

Put them into separate jobs, so that i can pass upload-artifcat/download-artifcat between the jobs. If we just run 3 parallel metrics, we need the 4th one to download the artifact?

eddyxu and others added 6 commits July 10, 2024 10:09
Signed-off-by: BubbleCal <bubble-cal@outlook.com>
- replace RoaringBitmap with BitVec
- use pool to avoid allocating bitset for each query with prefilter
- fall back to flat search if too many rows filtered out
- prefetch with flat search

---------

Signed-off-by: BubbleCal <bubble-cal@outlook.com>
This PR adds a new kind of scalar index, the LABEL_LIST scalar index. A
label list index can only be created on list columns (the item data type
has to be one of the data types that can be used for btree/bitmap
indices). The label list index can speed up array_has_any and
array_has_all queries.

This is useful for tag-like columns where each row has some number of
labels and the overall cardinality of the labels is relatively low (the
index in-memory size will depend on the cardinality of the labels).

This PR also introduces the idea that different scalar indices may
support different types of queries. There is now `SargableQuery` (what
is used by btree and bitmap) and `LabelListQuery` (used by the new label
list index). Going forward we should probably break the FullTextQuery
out of `SargableQuery` and into its own query type.
@eddyxu eddyxu merged commit 8cab512 into main Jul 13, 2024
13 checks passed
@eddyxu eddyxu deleted the lei/jni_multiplatform branch July 13, 2024 08:41
@walterddr
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i think the problem is similar to: rust-lang/rust#57497 <-- during the CI pipeline somehow GLIBC_VERSION 2.38 was pulled in. but it is not actually a package available in ubuntu. so unless we also setup rust build env in the same i wasn't able to do so. could we detect which step in the CI job actually pull in the GLIBC 2.38? if so i can replicate the step on the other CI side

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7 participants