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ci: containerize CI pipeline with pre-built Docker image
Add a BuildCIImage job that produces a content-hash-cached Docker image (Ubuntu 22.04, JDK 8, conda, SBT, Spark, pre-cached datasets) published to mmlsparkmcr.azurecr.io/synapseml/ci via Workload Identity Federation. All test/build jobs now run inside this container, eliminating per-job conda setup, CLI updates, and dataset downloads. Key changes: - tools/docker/ci/Dockerfile: multi-stage image definition with pinned Miniconda, SHA256-verified libssl1.1, tightened file permissions (755) - pipeline.yaml: container resource, BuildCIImage job, scoped compilation via PROJECT variable, SBT_OPTS tuning, free_disk.yml template, succeeded() gating on DatabricksE2E condition - build.sbt: ForkJoinPool deadlock fix for parallel test execution - TestBase.scala: 10-minute per-test hard timeout for all test suites (overridable in subclasses, e.g. DatabricksTestHelper uses longer) - CodegenPlugin.scala: remove redundant root publishLocal in installPipPackage - templates/free_disk.yml: disk cleanup helper Note: FabricE2E intentionally excluded from containerization — it requires Fabric SDK / sempy packages not in the CI container image. Performance: ~59% wall-clock reduction (66m -> 27m), 33.5% total compute savings (1228m -> 817m agent-minutes) across 59 test jobs.
1 parent 0a2b0b4 commit 4d6cdc8

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.dockerignore

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target
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.idea
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.git
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tools/docker/Dockerfile.dev
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pipeline.yaml
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.dockerignore
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# Allowlist: only send files referenced by COPY instructions in Dockerfiles.
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# CI Dockerfile: environment.yml, project/, build.sbt, sonatype.sbt
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# Demo Dockerfile: tools/docker/demo/init_notebook.py, docs/
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*
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!environment.yml
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!project/
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!build.sbt
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!sonatype.sbt
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!tools/docker/demo/init_notebook.py
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!docs/

.gitignore

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@@ -95,3 +95,4 @@ condaenv.*.requirements.txt
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# Dev-loop artifacts
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.dev-loop/
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.dev-loop-artifacts/
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pipeline.yaml.bak

build.sbt

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@@ -104,7 +104,12 @@ getDatasetsTask := {
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val f = new File(d, datasetName)
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if (!d.exists()) d.mkdirs()
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if (!f.exists()) {
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FileUtils.copyURLToFile(datasetUrl, f)
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val cached = new File(sys.env.getOrElse("DATASET_CACHE", "/opt/datasets"), datasetName)
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if (cached.exists()) {
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java.nio.file.Files.copy(cached.toPath, f.toPath)
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} else {
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FileUtils.copyURLToFile(datasetUrl, f)
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}
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UnzipUtils.unzip(f, d)
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}
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}

core/src/test/scala/com/microsoft/azure/synapse/ml/core/test/base/TestBase.scala

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@@ -22,7 +22,7 @@ import org.scalatest.time.{Seconds, Span}
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import java.io.File
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import java.nio.file.{Files, Path}
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import scala.concurrent._
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import scala.concurrent.blocking
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import scala.reflect.ClassTag
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trait SparkSessionManagement {
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}
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abstract class TestBase extends AnyFunSuite with BeforeAndAfterEachTestData with BeforeAndAfterAll {
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abstract class TestBase extends AnyFunSuite with BeforeAndAfterEachTestData with BeforeAndAfterAll with TimeLimits {
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// Global per-test timeout (10 minutes). Override in subclass if needed.
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val testTimeoutInSeconds: Int = 10 * 60
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override def test(testName: String, testTags: Tag*)(testFun: => Any)(implicit pos: Position): Unit = {
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super.test(testName, testTags: _*) {
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failAfter(Span(testTimeoutInSeconds, Seconds)) {
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testFun
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}
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}
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}
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lazy val sparkProvider: SparkSessionManagement = TestBase
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