Copilot commented on code in PR #5643:
URL: https://github.com/apache/texera/pull/5643#discussion_r3408623535


##########
file-service/src/main/scala/org/apache/texera/service/util/StagedFileCleanupJob.scala:
##########
@@ -0,0 +1,229 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.texera.service.util
+
+import com.typesafe.scalalogging.LazyLogging
+import io.dropwizard.lifecycle.Managed
+import io.lakefs.clients.sdk.ApiException
+import io.lakefs.clients.sdk.model.Diff
+import org.apache.texera.amber.core.storage.util.LakeFSStorageClient
+import org.apache.texera.dao.SqlServer
+import org.apache.texera.dao.jooq.generated.tables.Dataset.DATASET
+import 
org.apache.texera.dao.jooq.generated.tables.DatasetUploadSession.DATASET_UPLOAD_SESSION
+
+import java.time.OffsetDateTime
+import java.util.concurrent.{Executors, ScheduledExecutorService, TimeUnit}
+import scala.jdk.CollectionConverters._
+
+/**
+  * Summary of one cleanup round.
+  *
+  * @param sessionsDeleted Number of abandoned upload session rows deleted.
+  * @param objectsReset    Number of staged (uncommitted) objects reset in 
LakeFS.
+  * @param errors          Number of failures encountered (each is retried 
next round).
+  */
+case class CleanupReport(sessionsDeleted: Int, objectsReset: Int, errors: Int)
+
+/**
+  * Periodically cleans up uploaded but uncommitted dataset files:
+  *   1. Aborts and deletes abandoned multipart upload sessions older than the 
retention window.
+  *   2. Resets staged (uncommitted) LakeFS objects older than the retention 
window, skipping
+  *      objects that belong to still-active upload sessions.
+  *
+  * @param retentionHours  Age (in hours) after which uncommitted uploads are 
cleaned up.
+  * @param intervalMinutes Delay (in minutes) between cleanup rounds.
+  */
+class StagedFileCleanupJob(retentionHours: Int, intervalMinutes: Int)
+    extends Managed
+    with LazyLogging {
+
+  private var executor: ScheduledExecutorService = _

Review Comment:
   Add parameter validation for retentionHours/intervalMinutes. As-is, a 
misconfiguration (<= 0) can cause immediate mass deletion (retentionHours <= 0) 
or throw during scheduling (intervalMinutes <= 0), turning a config typo into 
either data loss or a startup failure.



##########
file-service/src/main/scala/org/apache/texera/service/util/StagedFileCleanupJob.scala:
##########
@@ -0,0 +1,229 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.texera.service.util
+
+import com.typesafe.scalalogging.LazyLogging
+import io.dropwizard.lifecycle.Managed
+import io.lakefs.clients.sdk.ApiException
+import io.lakefs.clients.sdk.model.Diff
+import org.apache.texera.amber.core.storage.util.LakeFSStorageClient
+import org.apache.texera.dao.SqlServer
+import org.apache.texera.dao.jooq.generated.tables.Dataset.DATASET
+import 
org.apache.texera.dao.jooq.generated.tables.DatasetUploadSession.DATASET_UPLOAD_SESSION
+
+import java.time.OffsetDateTime
+import java.util.concurrent.{Executors, ScheduledExecutorService, TimeUnit}
+import scala.jdk.CollectionConverters._
+
+/**
+  * Summary of one cleanup round.
+  *
+  * @param sessionsDeleted Number of abandoned upload session rows deleted.
+  * @param objectsReset    Number of staged (uncommitted) objects reset in 
LakeFS.
+  * @param errors          Number of failures encountered (each is retried 
next round).
+  */
+case class CleanupReport(sessionsDeleted: Int, objectsReset: Int, errors: Int)
+
+/**
+  * Periodically cleans up uploaded but uncommitted dataset files:
+  *   1. Aborts and deletes abandoned multipart upload sessions older than the 
retention window.
+  *   2. Resets staged (uncommitted) LakeFS objects older than the retention 
window, skipping
+  *      objects that belong to still-active upload sessions.
+  *
+  * @param retentionHours  Age (in hours) after which uncommitted uploads are 
cleaned up.
+  * @param intervalMinutes Delay (in minutes) between cleanup rounds.
+  */
+class StagedFileCleanupJob(retentionHours: Int, intervalMinutes: Int)
+    extends Managed
+    with LazyLogging {
+
+  private var executor: ScheduledExecutorService = _
+
+  override def start(): Unit = {
+    executor = Executors.newSingleThreadScheduledExecutor((runnable: Runnable) 
=> {
+      val thread = new Thread(runnable, "staged-file-cleanup")
+      thread.setDaemon(true)
+      thread
+    })
+    executor.scheduleWithFixedDelay(
+      () => {
+        try {
+          runCleanupOnce()
+        } catch {
+          // An exception must never kill the schedule.
+          case t: Throwable => logger.error("Staged file cleanup round 
failed", t)
+        }
+      },
+      // Small fixed initial delay so a restart doesn't postpone backlog 
cleanup by up to a
+      // full interval.
+      1L,
+      intervalMinutes.toLong,
+      TimeUnit.MINUTES
+    )
+  }
+
+  override def stop(): Unit = {
+    if (executor != null) {
+      executor.shutdown()
+    }
+  }
+
+  /**
+    * Runs a single cleanup round. Idempotent: rows/objects already cleaned up 
are not
+    * revisited, and failures are retried on the next round.
+    *
+    * @param now The reference time used to evaluate the retention window.
+    * @return Summary counts for this round.
+    */
+  def runCleanupOnce(now: OffsetDateTime = OffsetDateTime.now()): 
CleanupReport = {
+    val cutoff = now.minusHours(retentionHours.toLong)
+    var sessionsDeleted = 0
+    var objectsReset = 0
+    var errors = 0
+
+    val ctx = SqlServer.getInstance().createDSLContext()
+
+    // Map each dataset id to its LakeFS repository name (same mapping 
DatasetResource uses
+    // via dataset.getRepositoryName).
+    val repoNameByDid: Map[Integer, String] = ctx
+      .select(DATASET.DID, DATASET.REPOSITORY_NAME)
+      .from(DATASET)
+      .where(DATASET.REPOSITORY_NAME.isNotNull)
+      .fetch()
+      .asScala
+      .map(record => record.get(DATASET.DID) -> 
record.get(DATASET.REPOSITORY_NAME))
+      .toMap
+
+    // Path 1: abort and delete abandoned multipart upload sessions.
+    val expiredSessions = ctx
+      .selectFrom(DATASET_UPLOAD_SESSION)
+      .where(DATASET_UPLOAD_SESSION.CREATED_AT.lt(cutoff))
+      .fetch()
+      .asScala
+      .toList
+
+    expiredSessions.foreach { session =>
+      try {
+        repoNameByDid.get(session.getDid) match {
+          case Some(repoName) =>
+            try {
+              LakeFSStorageClient.abortPresignedMultipartUploads(
+                repoName,
+                session.getFilePath,
+                session.getUploadId,
+                session.getPhysicalAddress
+              )
+            } catch {
+              // Already aborted (or never materialized): safe to delete the 
session row.
+              case e: ApiException if e.getCode == 404 =>
+                logger.debug(
+                  s"Multipart upload ${session.getUploadId} not found in 
LakeFS; " +
+                    "treating as already aborted"
+                )
+            }
+          case None =>
+            // Dataset row gone or repository_name is NULL: the multipart 
lived in that
+            // repository's namespace, so there is nothing left to abort.
+            logger.debug(
+              s"No repository for dataset ${session.getDid}; " +
+                s"deleting orphan upload session ${session.getUploadId}"
+            )
+        }
+        ctx
+          .deleteFrom(DATASET_UPLOAD_SESSION)
+          .where(DATASET_UPLOAD_SESSION.UPLOAD_ID.eq(session.getUploadId))
+          .execute()
+        sessionsDeleted += 1
+      } catch {
+        case t: Throwable =>
+          logger.warn(
+            s"Failed to clean up upload session ${session.getUploadId} " +
+              s"(did=${session.getDid}, path=${session.getFilePath}); will 
retry next round",
+            t
+          )
+          errors += 1
+      }
+    }
+
+    // File paths of still-active (non-expired) upload sessions, per dataset. 
Staged objects
+    // belonging to an active upload must never be reset.
+    val activePathsByDid: Map[Integer, Set[String]] = ctx
+      .select(DATASET_UPLOAD_SESSION.DID, DATASET_UPLOAD_SESSION.FILE_PATH)
+      .from(DATASET_UPLOAD_SESSION)
+      .where(DATASET_UPLOAD_SESSION.CREATED_AT.ge(cutoff))
+      .fetch()
+      .asScala
+      .groupBy(record => record.get(DATASET_UPLOAD_SESSION.DID))
+      .map {
+        case (did, records) =>
+          did -> records.map(_.get(DATASET_UPLOAD_SESSION.FILE_PATH)).toSet
+      }
+
+    // Path 2: reset staged (uncommitted) objects older than the retention 
window.
+    repoNameByDid.foreach {
+      case (did, repoName) =>
+        try {
+          val activePaths = activePathsByDid.getOrElse(did, Set.empty)
+          val stagedObjects = 
LakeFSStorageClient.retrieveUncommittedObjects(repoName)
+          // diffBranch carries no mtime, so each candidate costs one extra 
statObject call
+          // (N+1). Unavoidable until LakeFS exposes timestamps in the diff 
API.
+          stagedObjects.foreach { diff =>
+            val path = diff.getPath
+            val isObjectWrite =
+              diff.getType == Diff.TypeEnum.ADDED || diff.getType == 
Diff.TypeEnum.CHANGED
+            if (!isObjectWrite) {
+              // E.g. a staged deletion of a committed file: there is no 
object behind it and
+              // it consumes no storage, so leaving it is correct and cheap.
+              logger.debug(s"Skipping staged ${diff.getType} entry '$path' in 
'$repoName'")
+            } else if (!activePaths.contains(path)) {
+              try {
+                val mtime = LakeFSStorageClient.getStagedObjectMtime(repoName, 
path)
+                if (mtime < cutoff.toEpochSecond) {
+                  LakeFSStorageClient.resetObjectUploadOrDeletion(repoName, 
path)
+                  objectsReset += 1
+                }
+              } catch {
+                case t: Throwable =>
+                  logger.warn(
+                    s"Failed to clean up staged object '$path' in repo 
'$repoName'",
+                    t
+                  )
+                  errors += 1
+              }

Review Comment:
   Treat ApiException 404 from stat/reset of a staged object as a successful 
no-op. Without this, concurrent activity (another cleanup round, user 
commit/reset) can turn an already-cleaned path into noisy warnings and 
increment `errors`, even though the job is intended to be idempotent.



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