Messages by Thread
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Re: [PR] perf: optimize to_hex in datafusion-functions [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] refactor: share hex encoding across datafusion-common, functions, and spark [datafusion]
via GitHub
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Re: [PR] chore: bump `object_store` to `0.14.1` [datafusion]
via GitHub
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[PR] fix: fixed decode buffer size estimate for BinaryViewArray [datafusion]
via GitHub
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[PR] feat: share Parquet metadata cache across tasks in an executor [datafusion-comet]
via GitHub
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Re: [I] Release DataFusion `54.1.0` (minor/patch) Release [datafusion]
via GitHub
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[I] Share Parquet footer and page index metadata across tasks in an executor [datafusion-comet]
via GitHub
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[PR] chore: Update version 54.1.0, add changelog (#23689) [datafusion]
via GitHub
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[I] Object store cache key drops the ABFS container, so two containers in one storage account share a store instance [datafusion-comet]
via GitHub
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Re: [I] Allow co-partitioned `Partitioning::Range` inputs for left-side hash joins [datafusion]
via GitHub
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[PR] docs: correct scan partitioning description in tuning guide [datafusion-ballista]
via GitHub
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[I] Incorrect size estimate for base64 decode buffer for BinaryView [datafusion]
via GitHub
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Re: [PR] feat: attach Diagnostic to "invalid function argument types" error [datafusion]
via GitHub
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[I] Support native Iceberg scans in Spark Structured Streaming [datafusion-comet]
via GitHub
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[PR] fix: measure the actual build side in AQE join selection [datafusion-ballista]
via GitHub
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[PR] perf: optimize left_right in datafusion-functions [datafusion]
via GitHub
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[PR] feat(core): add UnorderedRangeRepartitionExec — value-range router over unordered inputs [datafusion-ballista]
via GitHub
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Re: [I] AQE broadcast decision falls back to a size-blind row threshold when total_byte_size is unknown [datafusion-ballista]
via GitHub
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Re: [PR] feat: Improve TPC-H performance with AQE on [datafusion-ballista]
via GitHub
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[PR] feat: [DO NOT MERGE] preliminary Iceberg V3 support: native table decryption, fall back for other V3 features [datafusion-comet]
via GitHub
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Re: [PR] feat: preliminary Iceberg V3 support: native table decryption, fall back for other V3 features [datafusion-comet]
via GitHub
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Re: [PR] feat: preliminary Iceberg V3 support: native table decryption, fall back for other V3 features [datafusion-comet]
via GitHub
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Re: [PR] feat: preliminary Iceberg V3 support: native table decryption, fall back for other V3 features [datafusion-comet]
via GitHub
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Re: [PR] feat: preliminary Iceberg V3 support: native table decryption, fall back for other V3 features [datafusion-comet]
via GitHub
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Re: [PR] feat: preliminary Iceberg V3 support: native table decryption, fall back for other V3 features [datafusion-comet]
via GitHub
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Re: [PR] feat: preliminary Iceberg V3 support: native table decryption, fall back for other V3 features [datafusion-comet]
via GitHub
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Re: [PR] feat: preliminary Iceberg V3 support: native table decryption, fall back for other V3 features [datafusion-comet]
via GitHub
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Re: [PR] feat: preliminary Iceberg V3 support: native table decryption, fall back for other V3 features [datafusion-comet]
via GitHub
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Re: [PR] feat: preliminary Iceberg V3 support: native table decryption, fall back for other V3 features [datafusion-comet]
via GitHub
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Re: [PR] feat: preliminary Iceberg V3 support: native table decryption, fall back for other V3 features [datafusion-comet]
via GitHub
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Re: [PR] feat: Iceberg table format V3: native table decryption, fall back for other V3 features [datafusion-comet]
via GitHub
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Re: [PR] feat: Iceberg table format V3: native table decryption, fall back for other V3 features [datafusion-comet]
via GitHub
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Re: [PR] feat: Iceberg table format V3: native table decryption, fall back for other V3 features [datafusion-comet]
via GitHub
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[PR] chore: refactor SortMergeJoin bitwise stream to generators and simplify to be textbook like as possible [datafusion]
via GitHub
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Re: [PR] Add FixedSizeList support for recursive struct schema adaptation [datafusion]
via GitHub
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Re: [PR] [WIP]feat: Support apache uniffle remote shuffle service [datafusion-comet]
via GitHub
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[I] Native Parquet scan ignores session-level datafusion.execution.parquet.* options [datafusion-comet]
via GitHub
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Re: [PR] feat(physical-plan): Allow co-partitioned Partitioning::Range inputs for left-side hash joins [datafusion]
via GitHub
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[PR] feat: add spark.comet.shuffle.maxBufferBytes to cap native shuffle writer memory [datafusion-comet]
via GitHub
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Re: [I] Enable Parquet filter pushdown by default [datafusion-comet]
via GitHub
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[I] Row-level Parquet filter pushdown regresses uncorrelated-predicate scans (TPC-H Q6 +80%) [datafusion-comet]
via GitHub
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[I] Memory accounting inaccuracies in multi level merge [datafusion]
via GitHub
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Re: [I] Retryable IO errors are misclassified as non-retryable when wrapped in DataFusionError::Shared [datafusion-ballista]
via GitHub
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[I] AQE join selection: byte-size checks don't reflect the post-swap / post-coalesce build side [datafusion-ballista]
via GitHub
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Re: [PR] IN LIST: use keyed HashTable for large primitive lists [datafusion]
via GitHub
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Re: [PR] fix: resolve #1845 — Add TPC-DS workflow [datafusion-ballista]
via GitHub
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[PR] fix: Preserve output schema and schema-level metadata when swapping n… [datafusion]
via GitHub
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Re: [I] Centralize aggregate-scope expression rendering in the SQL unparser [datafusion]
via GitHub
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Re: [PR] Remove `GroupsAccumulator::supports_convert_to_state` and require `convert_to_state` [datafusion]
via GitHub
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Re: [PR] Snowflake: parse CREATE WAREHOUSE [datafusion-sqlparser-rs]
via GitHub
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[PR] test: improve `digest` function SQL test coverage [datafusion]
via GitHub
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[PR] test: improve `sha` function SQL test coverage [datafusion]
via GitHub
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[PR] test: improve `md5` function SQL test coverage [datafusion]
via GitHub
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[PR] test: improve `lcm` function SQL test coverage [datafusion]
via GitHub
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[PR] test: improve `isnan` function SQL test coverage [datafusion]
via GitHub
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[PR] [IGNORE] pass to everywhere that use arrow ipc reader the option to share or not share buffers [datafusion]
via GitHub
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Re: [I] Complete physical execution planning of range partitioning [datafusion]
via GitHub
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[PR] Proto: add DataSink serialization hook [datafusion]
via GitHub