Generated banner for Migrating Hive Tables To S3 Tables
Generated logo for Migrating Hive Tables To S3 Tables

Migrating Hive Tables To S3 Tables

AWSOfficialPublished by AWS

  • Skill
  • Workflow
  • Cloud and DevOps
  • Apache-2.0
  • No issues found

From the author

Migrates a Glue Data Catalog Hive table (Parquet) into Amazon S3 Tables as managed Iceberg using the native S3 Tables migration API (StartTableMigration, SyncTableMigration, CompleteTableMigration), a managed service call, not a self-run CTAS, Glue, or EMR job. The source is a Hive table; an Iceberg source is never in scope, even when the destination is S3 Tables. Covers plan review, migrate, sync, complete, and validate. Same-account, same-region, Glue Hive Parquet source only. Use when the request asks to migrate or import a Hive table into S3 Tables, or names the native migration API. Not applicable to converting a self-managed or standard Iceberg table into S3 Tables (ingesting-into-data-lake covers that), self-run CTAS/Glue-ETL/Spark migrations (ingesting-into-data-lake), or creating empty tables (creating-data-lake-table).
— the description by AWS

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured workflow for migrating existing Glue Data Catalog Hive Parquet tables into Amazon S3 Tables as managed Iceberg tables. It utilizes the native S3 Tables migration API to handle planning, data copying, and synchronization. The process includes rigorous pre-migration guardrails, plan review, and post-migration validation to ensure data integrity and compatibility before final cutover.

What it does

  • Performs pre-migration compatibility checks on source Glue Hive tables.
  • Generates and reviews migration plans for schema and object compatibility.
  • Executes the migration process using native S3 Tables API calls.
  • Synchronizes the destination table with the source until final cutover.
  • Validates row counts and sample data parity between source and destination.
  • Promotes the destination table to a read-write state upon successful validation.

When to use it

  • When migrating a Glue Data Catalog Hive Parquet table to S3 Tables.
  • When you need to keep the destination table in sync with the source before cutover.
  • When you want to use the native S3 Tables migration service rather than manual ETL jobs.
  • When you need to verify compatibility and plan the migration before execution.

Advantages

  • Uses native, managed service calls for reliable table migration.
  • Includes built-in validation steps to ensure data parity.
  • Supports incremental synchronization to minimize downtime.
  • Provides clear guardrails to prevent common configuration errors.

Usage examples

“Migrate my Glue Hive table sales_data into my table bucket sales-bucket.”
The agent will initiate the pre-migration checks, generate a migration plan, and present it for your approval.
“Keep my migrated table in sync with the source before cutover.”
The agent will execute the SyncTableMigration API to apply any recent changes from the source to the destination.
“Complete my migrated table.”
The agent will perform final validation and promote the destination table to read-write status.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/aws/migrating-hive-tables-to-s3-tables/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip migrating-hive-tables-to-s3-tables.zip -d .agents/skills

Documentation by AWS

Migrating Hive Tables to S3 Tables

Contents

  • Overview

  • Before you migrate

  • When to use

  • When NOT to use (use another skill)

  • Scope and constraints

  • The 6 migration APIs

  • Migration lifecycle

  • Pre-migration guardrails

  • Post-migration guardrails

  • Key API shapes

  • Security considerations

  • References

Overview

This skill guides an agent through migrating one Glue Hive Parquet table into an S3 table bucket with the native S3 Tables migration API. Amazon S3 Tables plans the migration, reports column and object compatibility, copies the data, and keeps the destination in sync with the source until you complete it. Your coding agent, following this skill, runs preflight checks, starts the migration, presents the plan for approval, monitors progress, completes the migration, and validates the result.

When the AWS MCP Server is available, use it to load this skill and its references (aws___retrieve_skill, with file="references/<name>.md") and to run the AWS calls.

Before you migrate

Agent instruction: You MUST present the migration plan and obtain explicit user approval before any step that changes tables, data, metadata, or catalog entries, and before any IAM, KMS, or S3 bucket change (creating or editing a role or policy, editing a key policy, creating a report bucket). Show the exact JSON or command first. For a key policy, read it with get-key-policy, add one statement, and never replace the whole policy. The plan MUST list:

  • the source table and the destination table bucket, namespace, and table name;

  • the write paths that will change (ETL jobs, streaming or ingest, INSERT/MERGE, CDC);

  • the query engines and downstream consumers that read the table;

  • the datasets, saved queries, and permissions that reference the old Glue table or S3 prefix.

Up-front approval in the user's request (naming the source, destination, and intent to migrate) covers only read-only checks and a Start with plan review. Approving the plan, accepting any setNull or drop policy, Complete, and any delete always need explicit approval during the conversation. If the actual state differs from what was approved (a different schema, partition layout, row count, or resource), stop, explain the difference, and get approval again.

Confirm these constraints with the user as part of the plan:

  • Every writer to the destination writes through an Iceberg-aware engine (for example Athena, EMR or Glue with Iceberg). Writers that write Parquet files directly to S3 will not work.

  • Every reader supports Iceberg and the S3 Tables catalog.

  • Jobs and queries move from the Glue Hive table to the S3 Tables catalog reference.

  • The source is not changed. Keep writers on the source until the destination is validated.

  • Validate row counts and sample values (references/validation.md) before moving production traffic.

See Migrating tables to S3 Tables for the full list of supported sources and limits.

Runtime: works with or without the AWS MCP server; steps use AWS CLI syntax. The AWS MCP server is recommended for sandboxed execution and audit logging. The migration commands are part of aws s3tables; if an older CLI lacks them, see references/api-setup.md.

When to use

Use this skill when the source is a Glue Data Catalog Hive table with Parquet data (TableType=EXTERNAL_TABLE, Hive Parquet SerDe) and the destination is an S3 table bucket in the same account and Region:

  • Migrating that table into S3 Tables as managed Iceberg with the native migration API.

  • Keeping the migrated table in sync with the active Hive source before cutover.

When NOT to use (use another skill)

The names below are other agent skills. For these requests, do not use this skill; load the named skill instead. When asked when not to use this skill, list every case:

  • A self-run CTAS, Glue ETL, or EMR/Spark migration into Iceberg: use the ingesting-into-data-lake skill (this skill covers only the managed migration API).

  • Converting a self-managed or standard Iceberg table: use the ingesting-into-data-lake skill.

  • Loading raw files (Parquet with no Glue table, CSV, JSON) or other sources (JDBC, Snowflake, BigQuery, DynamoDB): use the ingesting-into-data-lake skill.

  • Creating a new empty Iceberg table: use the creating-data-lake-table skill.

  • Running or managing Athena queries: use the querying-data-lake skill.

  • Locating tables or assets: use the finding-data-lake-assets skill. Auditing the catalog: use the exploring-data-catalog skill.

  • Setting up Glue connections: use the connecting-to-data-source skill.

  • Any destination other than S3 Tables.

Prompt patterns (trigger phrasings)

  • "Migrate my Glue Hive table <db>.<tbl> into my table bucket <name>."

  • "Import an existing Hive table into S3 Tables using the native migration API."

  • "Move my Parquet Hive table to Iceberg without running CTAS or a Glue/Spark job."

  • "Use StartTableMigration to convert <tbl>."

  • "Keep my migrated table in sync with the source before cutover" → Sync.

  • "Complete my migrated table" → Complete.

  • "Check the status or plan of migration <id>" → Get.

  • "List my table migrations" → List.

Scope and constraints

  • Source: Glue Hive Parquet table in the same account and region as the destination table bucket.

  • Destination: an existing S3 table bucket and namespace; the migration creates the table.

  • Not supported (confirm the current list in the S3 Tables migration guide): Lake Formation registered tables, partitions outside the table location, non-Parquet formats, Iceberg sources, cross-account, SSE-C, and archived storage classes. Check these in preflight and stop if any apply. For a Lake Formation registered table, tell the user it is not supported and suggest contacting AWS Support or their account team with the migration ID to request support. Never change Lake Formation settings.

  • Compatibility problems are reported during planning. Always review the plan before approving.

  • All-or-nothing copy: if a single object fails, the whole migration fails. A succeeded run has no failed objects.

  • Three reports are written to a general-purpose bucket you supply: table compatibility, object compatibility, and object migration.

  • Cost and duration: the migration writes a second copy of the data; plan for roughly double storage until the source is decommissioned. Large tables can take hours.

  • Quotas: see S3 Tables quotas.

  • Migration policies: by default an incompatible column fails the run. incompatibleValuesPolicy: setNull and unmatchedSourceFieldsPolicy: drop apply to the whole column and the run still reports succeeded. Treat any setNull or dropped column as data loss that needs explicit approval.

The 6 migration APIs

APIPurposePhase
StartTableMigrationPlan and begin a migration. With --review-migration-plan, pauses at pendingReview.Start
GetTableMigrationReturns state, hasValidPlan, planningStats, migrationStats, migrationOutput, failureReason.Track, review
UpdateTableMigrationApprove (--requested-state queued) or cancel.Approve
SyncTableMigrationApply source changes since the last plan; repeat until current.Sync
CompleteTableMigrationPromote the destination to read-write. Takes --table-arn. Returns an empty body; the migration state stays succeeded. Confirm with get-table (managedByService is null).Complete
ListTableMigrationsList migrations for one table bucket or table.Discover

Request and response shapes are in references/lifecycle.md.

Migration lifecycle (phases)

  1. Preflight → references/preflight.md, references/iam-roles.md

  2. Start and plan: start-table-migration --review-migration-plan; planning → pendingReview.

  3. Review: get-table-migration; read the compatibility reports and present the plan for approval.

  4. Approve and migrate: update-table-migration --requested-state queued; poll migrating → succeeded.

  5. Sync (optional): sync-table-migration; repeat until current.

  6. Validate: on the succeeded table, before Complete, query the destination in Athena and compare with the source → references/validation.md. Validation is part of every migration: run the row-count and sample checks without being asked, unless the user opts out. If counts are short, reconcile with sync-table-migration (not possible after Complete).

  7. Complete: once parity holds and the user approves, complete-table-migration --table-arn ..., then confirm get-table shows managedByService null.

Phases 2 to 7 are in references/lifecycle.md.

Pre-migration guardrails (run every time, before Start)

Do not call start-table-migration until all of these pass. Commands are in references/preflight.md and references/iam-roles.md.

  1. Plan approved. The plan in Before you migrate has been presented and approved.

  2. Credentials and region. sts get-caller-identity succeeds; the source and destination are in the same account and region.

  3. Source is Glue Hive Parquet. TableType=EXTERNAL_TABLE, Hive Parquet format and SerDe; not Iceberg, not ACID/transactional, no storage handler. Record catalogId.

  4. Partition locations. Every partition location is under the table location; partitions outside it fail planning with UNSUPPORTED_PARTITIONS. Check for partition projection and skip.header.line.count.

  5. Lake Formation. If the source table or its location is registered with Lake Formation, stop: not supported (confirm current support in the migration guide). Do not change Lake Formation settings.

  6. Destination exists. The table bucket and namespace exist. A missing namespace fails Start with NotFoundException.

  7. Migration role trust. One statement, principal migration.s3tables.amazonaws.com, conditions aws:SourceAccount and aws:SourceArn.

  8. Migration role permissions. Scoped source S3 and Glue read, destination write, report bucket write. The caller also needs iam:PassRole on the role, conditioned on iam:PassedToService = migration.s3tables.amazonaws.com.

  9. KMS. If data is encrypted with a customer managed key, grant kms:Decrypt and kms:GenerateDataKey. For an SSE-KMS destination, the key policy must also allow maintenance.s3tables.amazonaws.com, or table creation fails and planning never completes (see preflight §7 and IAM roles).

Post-migration guardrails (verify success before Complete)

Full detail in references/validation.md.

Run checks 1 to 7 on the succeeded table before Complete, because Sync is refused after Complete. After Complete, only confirm that get-table shows managedByService null.

  1. Terminal state: state: succeeded, failureReason null.

  2. Object accounting: objectsFailedMigration is 0 and objectsMigrated matches the planned object count. If it differs, check the source object count (an extra file from an earlier sync is legitimate) and confirm with row-count parity before treating it as a failure.

  3. Row count parity: destination count(*) equals source.

  4. Partition parity: per-partition row counts match (partitioned tables).

  5. Spot-check rows: sample values match, including converted columns such as timestamps.

  6. Schema review: every column's type label (Lossless, Widened, Converted) was accepted in the plan; none is Incompatible or Unsupported.

  7. Catalog naming: query as "s3tablescatalog/<table-bucket>"."<namespace>"."<table>".

Key API shapes

  • sourceType = glueTable (top level) and source = {"glueTable":{"catalogId":"<acct>","databaseName":"<db>","tableName":"<tbl>"}}. catalogId is required. The role member is roleARN.

  • --destination-table = {"tableBucketARN":"<arn>","namespace":"<ns>","name":"<tbl>"}.

  • migrationOutput is required: {bucket, prefixes}, where bucket is a general-purpose bucket ARN and prefixes optionally sets tableCompatibilityReport, objectCompatibilityReport, objectMigrationReport.

  • Optional dataMigration.migrationPolicies: unmatchedSourceFieldsPolicy (fail | drop), incompatibleValuesPolicy (fail | setNull). Both default fail.

  • Do not add sts:ExternalId to the trust policy; Amazon S3 Tables does not send one.

  • States: new → planning → pendingReview → queued → migrating → succeeded, plus failed, cancelling, cancelled.

  • On cancel or failure the destination table is kept. If hasValidPlan is true, resume with sync-table-migration; otherwise delete the table and start again. Rules in references/lifecycle.md.

  • Complete only a succeeded migration. Completing twice returns 409 ConflictException or 400 BadRequestException; treat either as "already done."

  • Athena reference: "s3tablescatalog/<table-bucket>"."<namespace>"."<table>". Requires the table bucket to be integrated with the Glue Data Catalog.

Security considerations

  • Instructions only; no shipped code or dependencies.

  • Migration role: trusts migration.s3tables.amazonaws.com with aws:SourceAccount and aws:SourceArn conditions; permissions scoped to the exact source, destination, and report resources.

  • Encryption: SSE-KMS on the destination table bucket and report bucket is recommended, with TLS-only bucket policies. A customer managed destination key must allow maintenance.s3tables.amazonaws.com in its key policy.

  • Logging: enable CloudTrail for the migration APIs and role assumptions, S3 data-event or server-access logging on the buckets involved, and CloudWatch alarms on failures. Encrypt log destinations.

  • No secrets in generated commands, reports, or state files.

References

FileTopic
references/api-setup.mdConfirming the migration commands are in the aws s3tables CLI
references/preflight.mdCredentials, source checks, partition locations, Lake Formation, destination
references/iam-roles.mdCaller policy and migration role trust and permissions
references/lifecycle.mdState machine and per-phase calls: start, review, approve, sync, complete
references/validation.mdAthena row-count, aggregate, and sample checks; catalog naming
references/troubleshooting.mdfailureReason codes and fixes

Files

references/lifecycle.md

Migration lifecycle

Full state machine plus the per-phase request shapes and calls, in order: Start + plan → Plan review → Approve + migrate → Sync (optional) → Complete. Pre-flight and IAM setup are in references/preflight.md and references/iam-roles.md; failure codes are in references/troubleshooting.md; post-migration checks are in references/validation.md.

State machine

new → planning → pendingReview → queued → migrating → succeeded ──(complete)──▶ table managedByService cleared
                                              │
                                    failed / cancelling → cancelled

MigrationState is exactly: new, planning, pendingReview, queued, migrating, succeeded, failed, cancelling, cancelled. There is no active state, Complete does not transition the migration; it promotes the table, returns an empty body, and clears the table's managedByService flag (see Complete below).

StateMeaningAllowed next action
newMigration record created, planning not yet startedPoll get-table-migration
planningAsync plan generation in progressPoll get-table-migration
pendingReviewPlan ready (hasValidPlan: true); paused for reviewupdate-table-migration --requested-state queued (approve) or cancel
queuedApproved, waiting to be picked upPoll; no action needed
migratingCopying + converting + compactingPoll migrationStats
succeededCopy finished (objectsFailedMigration 0; confirm data via row-count parity)complete-table-migration --table-arn ...
failedPlan or copy failedRead failureReason; fix; then recover (see Recovery below)
cancellingCancellation in progressPoll until cancelled
cancelledCancelledDestination table is kept. Resume with Sync if hasValidPlan is true, or delete the table and Start again (see Recovery below)
Recovery after a cancel or fail

A failed or cancelled migration keeps the destination table and any data already committed. The table name stays taken, so a plain re-Start returns a ConflictException (409) until you delete the table. Check hasValidPlan (get-table-migration or list-table-migrations --table-arn <ARN>), then:

  • Failed in planning, no table created: get-table returns NotFoundException. Fix the cause and start a new migration.

  • hasValidPlan is true and the cause is fixed outside the migration settings (for example a permission you have since granted, or a cancel at review): resume with sync-table-migration. Sync plans only what is not yet migrated.

  • The fix changes migration settings (migrationPolicies, sort order, destination schema, or the source table): delete the destination table and Start again. Sync reuses the original source and settings, so it cannot carry these changes.

  • hasValidPlan is false: delete the destination table and Start again.

  • To abandon a migration, delete the destination table.

Deleting a table and starting again are changes; confirm with the user first.

Notes
  • Planning is asynchronous; compatibility failures appear as failed with a failureReason, or as invalid findings in the compatibility reports, not as an immediate CLI error.

  • complete-table-migration should be called only on a succeeded migration (completing a failed/cancelled run would publish a partial table) and takes --table-arn, not --migration-id.

Start + plan

Use --cli-input-json with a JSON body.

Request body (start-migration.json)
{
  "roleARN": "arn:aws:iam::<ACCT>:role/<MIGRATION_ROLE>",
  "sourceType": "glueTable",
  "source": {
    "glueTable": {
      "catalogId": "<ACCT>",
      "databaseName": "<DB>",
      "tableName": "<TBL>"
    }
  },
  "destinationTable": {
    "tableBucketARN": "arn:aws:s3tables:<REGION>:<ACCT>:bucket/<DEST_BUCKET>",
    "namespace": "<NS>",
    "name": "<DEST_TABLE_NAME>"
  },
  "reviewMigrationPlan": true,
  "migrationOutput": {
    "bucket": "arn:aws:s3:::<REPORT_BUCKET>",
    "prefixes": {
      "tableCompatibilityReport": "migration-api-reports",
      "objectCompatibilityReport": "migration-api-reports",
      "objectMigrationReport": "migration-api-reports"
    }
  }
}
  • sourceType is a top-level member (glueTable), and source holds only glueTable. The role member is roleARN.

  • catalogId is REQUIRED in the source; omitting it fails plan generation.

  • Sort order (optional): set it as destinationTable.icebergSortOrder. Each field refers to a destination column by field ID (sourceId). Start rejects a field that names no column or whose transform does not fit the column type. Rows are sorted within each data file the migration writes.

  • migrationOutput is MANDATORY, and its shape is {bucket, prefixes}: bucket is one general-purpose bucket ARN (required, arn:aws:s3:::<name>); prefixes names an optional key prefix for each of the three reports, tableCompatibilityReport, objectCompatibilityReport, objectMigrationReport (a report with no prefix is written at the bucket root). Reports are written under <prefix>/<migration-id>/<report-type>/v1/...; take each object key from migrationOutput.<report>.key rather than building the path, because the folder layout can change. For the object compatibility and object migration reports the key points to the report's manifest; for the table compatibility report it points to the report file. An empty migrationOutput {} is rejected because bucket is required. The example gives all three reports the same prefix so a single s3:PutObject grant on that prefix covers them (see references/iam-roles.md); if you give them distinct prefixes, the role needs one grant per prefix.

  • reviewMigrationPlan: true pauses at pendingReview so you can inspect before any data moves. Always set it; never auto-approve.

  • Do not add an sts:ExternalId condition to the role trust policy (see references/iam-roles.md); the migration service does not send one (there is no API field for it), so such a condition would fail every assume.

Call
aws s3tables start-table-migration \
  --region <R> \
  --cli-input-json file://start-migration.json

Response: { "migrationId": "...", "state": "..." } (new or planning). Record the migrationId.

Then

Poll with get-table-migration until state leaves new and planning. Planning is async, wait ~45–60s between polls. Expect pendingReview with hasValidPlan: true, or failed with a named failureReason (see references/troubleshooting.md). Proceed to the Plan review section below.

Plan review

At pendingReview, pull the full record and inspect before approving.

aws s3tables get-table-migration \
  --region <R> \
  --migration-id <ID>
What to check

The current API does not return a plannedTransformations list on get-table-migration. The plan is reviewed through the two compatibility reports that planning writes (before any data moves), surfaced in the migrationOutput echo of the record.

  1. hasValidPlan: true and state: pendingReview.

  2. migrationOutput (response shape) carries bucket plus a ReportOverview for each report, tableCompatibilityReport, objectCompatibilityReport, and (only after the migrating phase) objectMigrationReport. Each ReportOverview has prefix, key, checksumCRC64NVME, and invalidFindings (a map of counts by category: access, metadata, data, internal). A populated key confirms the report was written (so report-bucket write works); non-zero invalidFindings means blocking issues were found.

  3. Read the table compatibility report (the CSV object at migrationOutput.tableCompatibilityReport.key; the report is plain text/csv, not gzipped, so aws s3 cp s3://<REPORT_BUCKET>/<key> - reads it directly and the key ends report.csv) for the per-column type changes. Each row: finding_type (invalid blocks the migration, informational does not), finding_category (access/metadata/data/internal), finding_subcategory (e.g. schemaTransformation.widened, schemaTransformation.converted, glueTableParameters), and details (JSON: fieldPath, glueType, destinationType, partition flag, the applicable policy, and outcome). The type-change class is the lowercase value in finding_subcategory (schemaTransformation.<class>): lossless, widened, converted, incompatible, unsupported. Match it case-insensitively; the Title-case labels below are display only:

    • Lossless, type and every value unchanged.

    • Widened, larger type of the same kind, no value lost (e.g. int→long, varchar(n)→string). Acceptable; confirm intent.

    • Converted, the value is preserved except where the conversion itself loses precision (e.g. char(n)→string drops length/padding; Parquet INT96 nanoseconds → Iceberg timestamptz microseconds truncates sub-microsecond values). Review and accept consciously; this is not lossless.

    • Incompatible, the destination type can't hold every value (e.g. bigint→int). incompatibleValuesPolicy decides column-wide, not per object: fail (default) fails the run, setNull writes the entire column null (the whole column, whatever the values). Treat as data loss requiring explicit user sign-off.

    • Unsupported, no Iceberg type / unsupported change; the migration fails unless you drop the column via unmatchedSourceFieldsPolicy: drop (removes the whole column; data loss requiring sign-off; you cannot drop a partition column).

  4. Object compatibility report (objectCompatibilityReport.key) lists each scanned source object and any issue that keeps it out of the migration.

  5. planningStats, objectsScanned, objectsPlanned, partitionCount. migrationStats.objectsPendingMigration should match the source object count you expect.

Compact plan view
aws s3tables get-table-migration \
  --region <R> --migration-id <ID> \
  --query '{state:state,hasValidPlan:hasValidPlan,reportKey:migrationOutput.tableCompatibilityReport.key,invalid:migrationOutput.tableCompatibilityReport.invalidFindings,objInvalid:migrationOutput.objectCompatibilityReport.invalidFindings,pending:migrationStats.objectsPendingMigration}'
Decision
  • hasValidPlan: true, both compatibility reports' invalidFindings all zero, and the table compatibility report shows only type changes you accept (Lossless/Widened, plus any Converted you consciously accept) → safe to approve (see Approve + migrate below).

  • Before approving, scan the table compatibility report's details.outcome: any setNull or dropped entry is column-wide data loss (the whole column, not a per-object issue) and needs explicit user sign-off. Plan review does not block on it, so you must check.

  • Any non-zero invalidFindings, any invalid finding_type, an Unsupported change, or an Incompatible change you cannot accept → cancel this migration first with update-table-migration --requested-state cancelled. A cancelled migration keeps its destination table. To change migrationPolicies, the destination schema, or the sort order, delete the destination table (with the user's confirmation) and Start again; Sync reuses the Start's settings, so it cannot apply these changes. If you only fixed the source and hasValidPlan is true, resume with sync-table-migration instead. See Recovery after a cancel or fail.

  • If hasValidPlan is not true, or migrationOutput.tableCompatibilityReport.key is absent / the report cannot be read, treat it as cannot-verify and STOP. Never read a missing report as "no findings / clean". Re-pull the record; if it stays absent, open a case with AWS Support (include the migrationId and region) before approving.

Approve + migrate

Only after the plan is reviewed and the user has approved it (see "Before you migrate" in SKILL.md). Approving starts the data copy into the destination table.

Approve (release into the copy)

--requested-state MUST be lowercase. The enum accepts only queued and cancelled. QUEUED (or any other casing) fails with ValidationException: Member must satisfy enum value set: [cancelled, queued]. Always pass queued, never QUEUED.

aws s3tables update-table-migration \
  --region <R> \
  --migration-id <ID> \
  --requested-state queued

Response shows state: queued.

Poll to completion
aws s3tables get-table-migration \
  --region <R> --migration-id <ID> \
  --query '{state:state,objectsMigrated:migrationStats.objectsMigrated,objectsPending:migrationStats.objectsPendingMigration,failed:migrationStats.objectsFailedMigration,failureReason:failureReason}'
  • queued → migrating → succeeded. Wait ~30–60s between polls. Do not poll indefinitely: if the state has not changed for roughly 30 minutes on a modest table, or elapsed time is well past what a plain S3 copy of the same byte volume would take, stop and treat it as the stuck-in-migrating case under Failure handling below.

  • Success: state: succeeded, objectsPending: 0, objectsFailedMigration: 0, objectsMigrated equal to planningStats.objectsPlanned, failureReason: null. Then confirm the data with row-count parity (references/validation.md).

  • If objectsMigrated differs from the planned count, check the source object count before calling it a bug; a table with an extra file from an earlier sync legitimately reports more.

Failure handling
  • Copy is all-or-nothing. If even one object fails to copy, the whole migration and table go to failed with a failureReason (often objectMigrationReport); the run never ends succeeded with failed objects. The destination table is kept. Read the object migration report for the failed key and error_code, fix the cause, then resume with sync-table-migration if hasValidPlan is true, or delete the table and Start again.

  • failed with a failureReason → look it up in references/troubleshooting.md, fix, then recover per the Recovery rules above.

  • Stuck in queued with no pickup for an extended period, no failureReason → likely a service-side delay before the job starts, not your setup. Capture the migrationId and open a case with AWS Support (include the migrationId and region).

  • Stuck in migrating with no progress (as a rough basis: no state change for ~30 minutes on a modest table, or elapsed time well beyond a plain S3 copy of the same byte volume), and no failureReason → capture the migrationId and open a case with AWS Support (include the migrationId and region). A prolonged migrating with no progress is a failure signal, not success.

Sync (optional)

Use Sync to catch the destination up with changes the source accumulated since the plan, before you cut over. Repeat until the delta is current.

Request body (sync-migration.json)
{
  "roleARN": "arn:aws:iam::<ACCT>:role/<MIGRATION_ROLE>",
  "tableARN": "<DESTINATION_TABLE_ARN>",
  "reviewMigrationPlan": true,
  "migrationOutput": {
    "bucket": "arn:aws:s3:::<REPORT_BUCKET>",
    "prefixes": {
      "tableCompatibilityReport": "migration-api-reports",
      "objectCompatibilityReport": "migration-api-reports",
      "objectMigrationReport": "migration-api-reports"
    }
  }
}

Reuse the Start report prefix so the role's existing WriteReports grant covers it. A different prefix needs its own s3:PutObject grant, or Sync fails with destinationPermissions.

aws s3tables sync-table-migration \
  --region <R> \
  --cli-input-json file://sync-migration.json

The Sync body is NOT the same as Start: it takes only roleARN, tableARN (the migrated table, top level), reviewMigrationPlan, and migrationOutput, there is no source. The service infers the source from the original migration and uses the last valid plan as the diff basis. (A reviewMigrationPlan: true sync plans the delta and pauses at pendingReview, same as Start.)

Semantics
  • Sync applies only the delta since the last plan or sync, not a full re-copy. A Sync is a change to the destination table; it needs the same plan review and approval as Start.

  • Sync reconciles new and appended source objects. It does not handle an already-migrated object that was overwritten in place (the same S3 key rewritten): the sync fails with failure code objectCompatibilityReport and finding data.objectModified. Hive INSERT OVERWRITE rewrites the same keys, so a source changed that way between plan and sync cannot be synced incrementally, re-migrate it fresh instead.

  • Each Sync returns its own migrationId and state; poll that id, not the original migration's.

  • With reviewMigrationPlan: true the sync parks at pendingReview; approve it with update-table-migration --requested-state queued on the sync's own migrationId, the same as Start. If you copy reviewMigrationPlan: true and never approve, the sync sits in pendingReview and the next Sync is rejected.

  • A Sync started while anything on the table is still non-terminal returns ConflictException (409); a Sync after Complete returns BadRequestException (400).

  • A Sync with no source changes succeeds with 0 objects planned.

  • On cancel or fail the destination table is kept; the last valid plan is the basis for the next Sync.

  • Repeat Sync until objectsPendingMigration is 0 and the source is quiesced, then Complete.

When to Sync vs. Complete
  • Source still receiving writes and you want minimal cutover delta → Sync repeatedly, then Complete during a short freeze.

  • Source already frozen / point-in-time is fine → skip Sync, go straight to Complete.

Complete

Promotes the migrated destination table to an ordinary read-write S3 Table. Complete does not set a migration state called active (there is none) and returns an empty body; confirm it by calling get-table and checking that the table's managedByService is cleared to null.

aws s3tables complete-table-migration \
  --region <R> \
  --table-arn <DESTINATION_TABLE_ARN>
Important
  • Takes --table-arn, NOT --migration-id. The table ARN is in the migration record (get-table-migration → tableARN).

  • Complete only a succeeded migration. Completing promotes whatever data is committed on the destination table to read-write, so completing a failed or cancelled migration would publish a partial table. Calling Complete while the copy is still in progress (queued/migrating) returns ConflictException (409, e.g. MIGRATION_IN_PROGRESS); a malformed or otherwise invalid request returns BadRequestException (400).

  • Completing a migration that is already complete returns ConflictException (409) or BadRequestException (400). Treat either as "already done", not an error to fix: confirm get-table shows managedByService null, then stop.

  • Complete is one-way, so validate first. After Complete, Sync is refused (BadRequestException 400), so you cannot reconcile a shortfall afterward. The destination holds committed data and is queryable while still succeeded (before Complete), so run the destination row-count parity check (references/validation.md) on the succeeded table before Complete; if it is short, sync-table-migration to reconcile (only possible pre-Complete), and Complete only once parity holds.

  • After Complete, confirm get-table shows managedByService null. The table is then read-write and queryable normally.

Response

CompleteTableMigration returns an empty body (HTTP success with no content) and does not change the migration's state. There is no active state and no completedAt field. Confirm completion by calling get-table --table-arn <ARN> and checking that managedByService is cleared to null (it reads migration.s3tables.amazonaws.com while the migration owns the table and is absent/null once Complete hands it over), then query the table (validation).

List migrations

ListTableMigrations discovers migrations on the endpoint. The request members are tableBucketARN, namespace, name, tableARN, state, hasValidPlan, maxResults, and nextToken. It is not account-wide: scope it by tableBucketARN (optionally narrowed by namespace, then name), or by tableARN alone. A bare call is rejected.

# in-flight migrations for one destination table bucket
aws s3tables list-table-migrations \
  --region <R> \
  --table-bucket-arn <DEST_BUCKET_ARN> \
  --state planning

# migrations for one destination table
aws s3tables list-table-migrations \
  --region <R> \
  --table-arn <DESTINATION_TABLE_ARN>

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an MCP server

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
AWS
Publisher
AWS (Official)
Source
aws/agent-toolkit-for-aws · skills/specialized-skills/analytics-skills/migrating-hive-tables-to-s3-tables · commit 0a218f8
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • NOTICE (added by AutoGineer from NOTICE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by AWS or AWS.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download migrating-hive-tables-to-s3-tables.zip