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Tree: d4d6836139

add-admin-and-worker-to-helm-charts

add-ec-vacuum

add_fasthttp_client

add_remote_storage

adding-message-queue-integration-tests

also-delete-parent-directory-if-empty

avoid_releasing_temp_file_on_write

changing-to-zap

collect-public-metrics

copilot/fix-helm-chart-installation

copilot/fix-s3-object-tagging-issue

create-table-snapshot-api-design

data_query_pushdown

dependabot/maven/other/java/client/com.google.protobuf-protobuf-java-3.25.5

dependabot/maven/other/java/examples/org.apache.hadoop-hadoop-common-3.4.0

detect-and-plan-ec-tasks

do-not-retry-if-error-is-NotFound

ec-disk-type-support

enhance-erasure-coding

fasthttp

feature/tus-protocol

filer1_maintenance_branch

fix-GetObjectLockConfigurationHandler

fix-mount-http-parallelism

fix-s3-object-tagging-issue-7589

fix-versioning-listing-only

fix/sftp-homedir-path-translation

ftp

gh-pages

improve-fuse-mount

improve-fuse-mount2

logrus

master

message_send

mount2

mq-subscribe

mq2

original_weed_mount

pr-7412

random_access_file

refactor-needle-read-operations

refactor-volume-write

remote_overlay

revert-5134-patch-1

revert-5819-patch-1

revert-6434-bugfix-missing-s3-audit

s3-select

sub

tcp_read

test-reverting-lock-table

test_udp

testing

testing-sdx-generation

tikv

track-mount-e2e

upgrade-versions-to-4.00

volume_buffered_writes

worker-execute-ec-tasks

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dev

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v3.33

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seaweedfs/k8s/charts

History

chrislu d4d6836139 test: prove Spark CAN read Parquet files (both direct and Spark-written) Created SparkReadDirectParquetTest with two tests: TEST 1: Spark reads directly-written Parquet - Direct write: 643 bytes - Spark reads it: ✅ SUCCESS (3 rows) - Proves: Spark's READ path works fine TEST 2: Spark writes then reads Parquet - Spark writes via INSERT: 921 bytes (3 rows) - Spark reads it: ✅ SUCCESS (3 rows) - Proves: Some Spark write paths work fine COMPARISON WITH FAILING TEST: - SparkSQLTest (FAILING): df.write().parquet() → 1260 bytes (4 rows) → EOF error - SparkReadDirectParquetTest (PASSING): INSERT INTO → 921 bytes (3 rows) → works CONCLUSION: The issue is SPECIFIC to Spark's DataFrame.write().parquet() code path, NOT a general Spark+SeaweedFS incompatibility. Different Spark write methods: 1. Direct ParquetWriter: 643 bytes → ✅ works 2. Spark INSERT INTO: 921 bytes → ✅ works 3. Spark df.write().parquet(): 1260 bytes → ❌ EOF error The 78-byte error only occurs with DataFrame.write().parquet()!		1 week ago
..
seaweedfs	Don't make nginx the default ingress controller (#7436)	4 weeks ago
artifacthub-repo.yml	Update artifacthub-repo-stable.yml (#4330)	3 years ago