test(spark): characterize HadoopUtils S3 and Azure credential forwarding

[jackylee-ch]

Rationale for this change

HadoopUtils (java/vortex-spark/src/main/java/dev/vortex/spark/config/HadoopUtils.java)
is the bridge that forwards S3 and Azure credentials from the Spark session's Hadoop
Configuration into the Vortex object-store property keys, and it currently has no test
coverage. A silently broken key mapping here doesn't fail loudly — it surfaces as
authentication errors (or unintentionally anonymous access via the Azure
skip_signature fallback) only when running against real cloud storage. This continues
the characterization-test series from #8770 (ArrowUtils), #8782 (SparkToArrowSchema),
and #8783 (PartitionPathUtils).

What changes are included in this PR?

A new HadoopUtilsTest covering both public methods:

• s3PropertiesFromHadoopConf: maps fs.s3a.access.key / fs.s3a.secret.key /
  fs.s3a.session.token / fs.s3a.endpoint.region to the corresponding aws_* keys;
  qualifies a bare fs.s3a.endpoint with https:// while preserving endpoints that
  already carry an http:// or https:// scheme; ignores unrelated Hadoop keys and
  returns an empty map for an empty configuration.
• azurePropertiesFromHadoopConf: extracts the storage account key from any
  fs.azure.account.key-prefixed entry and the SAS token from any
  fs.azure.sas.fixed.token.-prefixed entry; sets azure_skip_signature=true whenever
  no account key is present (including the SAS-token-only case); ignores unrelated
  fs.azure.* keys.

This is a test-only change; no production code is modified. 10 tests, passing
locally on both matrix legs (:vortex-spark_2.12:test and :vortex-spark_2.13:test
with --tests 'dev.vortex.spark.config.HadoopUtilsTest').

What APIs are changed? Are there any user-facing changes?

None. No production code or public API is touched.

[codspeed-hq]

Merging this PR will improve performance by 11.17%

⚡ 1 improved benchmark
✅ 1669 untouched benchmarks
⏩ 44 skipped benchmarks¹

Performance Changes

	Mode	Benchmark	BASE	HEAD	Efficiency
⚡	Simulation	true_count_vortex_buffer[128]	580.6 ns	522.2 ns	+11.17%

Tip

Curious why this is faster? Comment @codspeedbot explain why this is faster on this PR, or directly use the CodSpeed MCP with your agent.

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_{Comparing jackylee-ch:spark-hadoop-utils-tests (f8cb4b4) with develop (c5e075a)}

Footnotes

1. 44 benchmarks were skipped, so the baseline results were used instead. If they were deleted from the codebase, click here and archive them to remove them from the performance reports. ↩