{ "$schema": "https://uipkge.dev/schema/registry-item.json", "name": "lakehouse-table-optimizer", "title": "Lakehouse Table Optimizer", "type": "registry:page", "files": [ { "path": "packages/registry-angular/blocks/lakehouse-table-optimizer/lakehouse-table-optimizer.component.ts", "content": "// Apache Iceberg and Delta Lake table maintenance manager, compaction optimizer, snapshot\n// history visualizer, and time-travel SQL query helper. Port of the React block 1:1.\nimport { ChangeDetectionStrategy, Component, Input, computed, signal } from '@angular/core'\nimport {\n ArrowDownRight,\n Check,\n CheckCircle2,\n Clock,\n Copy,\n Database,\n FileCode2,\n FileText,\n FolderArchive,\n HardDrive,\n History,\n Layers,\n LucideAngularModule,\n RefreshCw,\n Search,\n Server,\n Terminal,\n Trash2,\n Workflow,\n Zap,\n} from 'lucide-angular'\nimport { cn } from '@/lib/utils'\nimport { UiBadgeComponent } from '@/ui/badge/badge.component'\nimport { UiButtonComponent } from '@/ui/button/button.component'\nimport {\n UiCardComponent,\n UiCardContentComponent,\n UiCardDescriptionComponent,\n UiCardHeaderComponent,\n UiCardTitleComponent,\n} from '@/ui/card/card.component'\nimport { UiProgressComponent } from '@/ui/progress/progress.component'\nimport { UiSeparatorComponent } from '@/ui/separator/separator.component'\nimport {\n UiTableBodyComponent,\n UiTableCellComponent,\n UiTableComponent,\n UiTableHeadComponent,\n UiTableHeaderComponent,\n UiTableRowComponent,\n} from '@/ui/table/table.component'\nimport { UiTabsComponent, UiTabsListComponent, UiTabsTriggerComponent } from '@/ui/tabs/tabs.component'\n\nexport type SnapshotOperation = 'MERGE' | 'APPEND' | 'OPTIMIZE' | 'REPLACE_PARTITION'\nexport type SqlSyntaxMode = 'system_time' | 'system_version' | 'pyspark' | 'trino'\n\nexport interface TableSnapshot {\n id: string\n numericId: string\n timestamp: string\n relativeTime: string\n operation: SnapshotOperation\n rowsAdded: string\n rowsDeleted: string\n author: string\n summary: string\n manifestFile: string\n filesAdded: number\n filesRemoved: number\n byteDelta: string\n}\n\nexport interface PartitionRecord {\n partitionKey: string\n fileCount: number\n avgFileSize: string\n totalSize: string\n skippedPercentage: number\n zOrderScore: string\n status: 'Optimized' | 'Compacting' | 'Needs Z-Order'\n lastClustered: string\n}\n\nexport interface TableDetails {\n name: string\n format: string\n totalSize: string\n rowCount: string\n statusText: string\n catalog: string\n storageLocation: string\n lastCompacted: string\n compressionCodec: string\n}\n\nconst defaultTable: TableDetails = {\n name: 'lakehouse.silver_customer_events',\n format: 'Apache Iceberg v2 · Parquet',\n totalSize: '4.2 TB',\n rowCount: '1.48B Rows',\n statusText: 'Table Optimized · 0 Small Files',\n catalog: 'AWS Glue Data Catalog (us-east-1)',\n storageLocation: 's3://lakehouse-data-prod/silver/customer_events/',\n lastCompacted: '28 mins ago',\n compressionCodec: 'ZSTD (Level 7)',\n}\n\nconst defaultSnapshots: TableSnapshot[] = [\n {\n id: 'snap_84920194821',\n numericId: '84920194821',\n timestamp: '2026-08-21 09:30:00 UTC',\n relativeTime: '12 mins ago',\n operation: 'MERGE',\n rowsAdded: '+142,500',\n rowsDeleted: '-18,200',\n author: 'spark-streaming-pipeline',\n summary: \"Upserted late-arriving customer clickstream events from Kafka topic 'customer.events.prod'\",\n manifestFile: 'snap-84920194821-1-m0.avro',\n filesAdded: 4,\n filesRemoved: 3,\n byteDelta: '+128 MB',\n },\n {\n id: 'snap_84920183104',\n numericId: '84920183104',\n timestamp: '2026-08-21 08:00:00 UTC',\n relativeTime: '1 hour ago',\n operation: 'OPTIMIZE',\n rowsAdded: '+0',\n rowsDeleted: '-0',\n author: 'iceberg-compactor-daemon',\n summary: 'Bin-pack compaction rewrote 4,210 small files into 42 optimal 128MB Parquet data files',\n manifestFile: 'snap-84920183104-1-m0.avro',\n filesAdded: 42,\n filesRemoved: 4210,\n byteDelta: '-4.1 GB (compaction gain)',\n },\n {\n id: 'snap_84920152918',\n numericId: '84920152918',\n timestamp: '2026-08-21 06:15:00 UTC',\n relativeTime: '3 hours ago',\n operation: 'APPEND',\n rowsAdded: '+890,200',\n rowsDeleted: '-0',\n author: 'batch-ingest-hourly',\n summary: 'Micro-batch append for EMEA checkout and cart telemetry session events',\n manifestFile: 'snap-84920152918-1-m0.avro',\n filesAdded: 18,\n filesRemoved: 0,\n byteDelta: '+2.2 GB',\n },\n {\n id: 'snap_84920120195',\n numericId: '84920120195',\n timestamp: '2026-08-20 23:45:00 UTC',\n relativeTime: '9 hours ago',\n operation: 'REPLACE_PARTITION',\n rowsAdded: '+3,410,000',\n rowsDeleted: '-3,398,000',\n author: 'dbt-backfill-runner',\n summary: \"Replaced partition 'event_date=2026-08-20' following upstream IP geolocation schema enrichment\",\n manifestFile: 'snap-84920120195-1-m0.avro',\n filesAdded: 28,\n filesRemoved: 28,\n byteDelta: '+140 MB',\n },\n {\n id: 'snap_84919984120',\n numericId: '84919984120',\n timestamp: '2026-08-20 18:30:00 UTC',\n relativeTime: '15 hours ago',\n operation: 'APPEND',\n rowsAdded: '+1,205,400',\n rowsDeleted: '-0',\n author: 'batch-ingest-hourly',\n summary: 'Hourly ingestion run for US-East customer checkout telemetry records',\n manifestFile: 'snap-84919984120-1-m0.avro',\n filesAdded: 24,\n filesRemoved: 0,\n byteDelta: '+3.1 GB',\n },\n]\n\nconst defaultPartitions: PartitionRecord[] = [\n {\n partitionKey: 'event_date=2026-08-21',\n fileCount: 42,\n avgFileSize: '128.2 MB',\n totalSize: '5.38 GB',\n skippedPercentage: 98.4,\n zOrderScore: '98.4%',\n status: 'Optimized',\n lastClustered: '28m ago',\n },\n {\n partitionKey: 'event_date=2026-08-20',\n fileCount: 40,\n avgFileSize: '127.9 MB',\n totalSize: '5.12 GB',\n skippedPercentage: 97.8,\n zOrderScore: '97.8%',\n status: 'Optimized',\n lastClustered: '9h ago',\n },\n {\n partitionKey: 'event_date=2026-08-19',\n fileCount: 38,\n avgFileSize: '128.0 MB',\n totalSize: '4.86 GB',\n skippedPercentage: 96.9,\n zOrderScore: '96.9%',\n status: 'Optimized',\n lastClustered: '1d ago',\n },\n {\n partitionKey: 'event_date=2026-08-18',\n fileCount: 44,\n avgFileSize: '126.8 MB',\n totalSize: '5.58 GB',\n skippedPercentage: 95.8,\n zOrderScore: '95.8%',\n status: 'Optimized',\n lastClustered: '2d ago',\n },\n {\n partitionKey: 'event_date=2026-08-17',\n fileCount: 36,\n avgFileSize: '128.5 MB',\n totalSize: '4.62 GB',\n skippedPercentage: 97.1,\n zOrderScore: '97.1%',\n status: 'Optimized',\n lastClustered: '3d ago',\n },\n {\n partitionKey: 'event_date=2026-08-16',\n fileCount: 39,\n avgFileSize: '127.4 MB',\n totalSize: '4.97 GB',\n skippedPercentage: 96.5,\n zOrderScore: '96.5%',\n status: 'Optimized',\n lastClustered: '4d ago',\n },\n]\n\nconst snapshotOps = ['ALL', 'MERGE', 'OPTIMIZE', 'APPEND', 'REPLACE_PARTITION'] as const\n\n@Component({\n changeDetection: ChangeDetectionStrategy.Eager,\n selector: 'ui-lakehouse-table-optimizer, [ui-lakehouse-table-optimizer]',\n standalone: true,\n // React renders the root
itself: the host stays out of layout and `class` goes to the root.\n host: { '[attr.class]': '\"contents\"' },\n imports: [\n LucideAngularModule,\n UiBadgeComponent,\n UiButtonComponent,\n UiCardComponent,\n UiCardContentComponent,\n UiCardDescriptionComponent,\n UiCardHeaderComponent,\n UiCardTitleComponent,\n UiProgressComponent,\n UiSeparatorComponent,\n UiTableComponent,\n UiTableBodyComponent,\n UiTableCellComponent,\n UiTableHeadComponent,\n UiTableHeaderComponent,\n UiTableRowComponent,\n UiTabsComponent,\n UiTabsListComponent,\n UiTabsTriggerComponent,\n ],\n template: `\n
\n \n
\n
\n
\n \n \n
\n
\n
\n

\n {{ table().name }}\n

\n \n \n {{ table().statusText }}\n \n
\n
\n \n \n {{ table().format }}\n \n \n \n {{ table().totalSize }} · {{ table().rowCount }}\n \n \n \n {{ table().catalog }}\n \n
\n
\n
\n\n
\n \n @if (!isExpiring()) {\n \n } @else {\n \n }\n {{ isExpiring() ? 'Expiring Stale...' : 'Expire Snapshots' }}\n \n \n @if (!isCompacting()) {\n \n } @else {\n \n }\n {{ isCompacting() ? 'Compacting Table...' : 'Run Compaction & Vacuum' }}\n \n
\n
\n\n @if (actionNotification()) {\n \n
\n \n {{ actionNotification() }}\n
\n \n Dismiss\n ×\n \n
\n }\n
\n\n \n
\n
\n
\n

\n Total Partitions\n

\n \n \n
\n
\n
\n
\n
1,420
\n 100% Healthy\n
\n

1,420 Partitions · Date Partitioned

\n
\n \n
\n event_date (YYYY-MM-DD)\n 0 unpartitioned\n
\n
\n
\n
\n\n
\n
\n

\n Small Files Neutralized\n

\n \n \n
\n
\n
\n
\n
14,280
\n 99.0% Reduction\n
\n

14,280 small files compacted -> 142 optimal 128MB files

\n
\n \n
\n Target: 128 MB\n 0 files <32MB\n
\n
\n
\n \n\n
\n
\n

\n Snapshot History\n

\n \n \n
\n
\n
\n
\n
48
\n 30-Day Window\n
\n

48 Active Snapshots · 30-Day Time Travel

\n
\n \n
\n Oldest: Jul 22, 2026\n 4.8 MB metadata\n
\n
\n
\n \n\n
\n
\n

\n Storage Optimization\n

\n \n \n
\n
\n
\n
\n
1.2 TB
\n $240/mo Saved\n
\n

1.2 TB freed via Vacuum · $240/mo saved

\n
\n \n
\n 872 GB stale · 328 GB orphan\n -28.5% S3 Cost\n
\n
\n
\n \n \n\n \n \n \n \n \n \n \n \n\n @if (activeTab() === 'snapshots') {\n
\n
\n
\n
\n
\n
\n
\n

Snapshot Commit History

\n

\n Select any snapshot to generate reproducible time-travel queries\n

\n
\n
\n @for (op of snapshotOps; track op) {\n \n }\n
\n
\n
\n \n \n
\n
\n\n \n\n
\n \n @for (snap of filteredSnapshots(); track snap.id) {\n \n \n @switch (snap.operation) {\n @case ('MERGE') {\n \n }\n @case ('OPTIMIZE') {\n \n }\n @case ('APPEND') {\n \n }\n @default {\n \n }\n }\n
\n
\n
\n
\n {{ snap.id }}\n \n {{ snap.operation }}\n \n @if (selectedSnapshotId() === snap.id) {\n Active Time-Travel Target\n }\n
\n {{\n snap.relativeTime\n }}\n
\n

{{ snap.summary }}

\n
\n
\n {{ snap.rowsAdded }}\n /\n {{ snap.rowsDeleted }} rows\n
\n
\n \n {{ snap.byteDelta }}\n
\n
\n Author:\n {{ snap.author }}\n
\n
\n
\n
\n }\n
\n
\n
\n \n\n
\n
\n
\n
\n
\n

Time-Travel Query Picker

\n

\n Instant query generator for snapshot audit & reconciliation\n

\n
\n {{\n selectedSnapshot().numericId\n }}\n
\n
\n \n SYSTEM_TIME\n \n \n VERSION\n \n \n \n
\n
\n\n \n\n
\n
\n
\n Target Snapshot:\n {{ selectedSnapshot().id }}\n
\n
\n Point-in-Time:\n {{ selectedSnapshot().timestamp }}\n
\n
\n Commit Operation:\n \n {{ selectedSnapshot().operation }}\n \n
\n
\n\n
\n \n \n \n Query table as of snapshot:\n \n \n @if (copiedQuery()) {\n \n } @else {\n \n }\n {{ copiedQuery() ? 'Copied' : 'Copy' }}\n \n
\n {{ generatedQuery() }}\n
\n\n
\n
\n Estimated Scan Overhead:\n 42ms · 96.4% skipped\n
\n
\n Manifest Avro File:\n {{ selectedSnapshot().manifestFile }}\n
\n
\n Storage Engine:\n Apache Iceberg Native Parquet Reader\n
\n
\n
\n
\n \n \n \n }\n\n @if (activeTab() === 'partitions') {\n
\n
\n
\n
\n
\n

\n \n Partition Health & Multidimensional Z-Order Clustering\n

\n

\n Z-Order clustered by customer_id, event_type to maximize Parquet min/max statistics pruning.\n

\n
\n
\n \n \n
\n
\n \n
\n Clustered Columns:\n
customer_id, event_type
\n
\n
\n Data Skipping Efficiency:\n
96.4% Row-Groups Skipped
\n
\n
\n Clustering Curve Algorithm:\n
Hilbert Space-Filling (Depth 16)
\n
\n
\n Compression Codec:\n
ZSTD Level 7 · Parquet v2
\n
\n
\n
\n\n \n\n
\n
\n \n \n \n \n \n \n \n \n \n \n \n \n \n @for (partition of filteredPartitions(); track partition.partitionKey) {\n \n \n \n \n \n \n \n \n \n }\n \n
Partition KeyFile CountAvg File SizeTotal Data SizeData SkippingZ-Order StatusAction
\n {{ partition.partitionKey }}\n {{ partition.fileCount }} files{{ partition.avgFileSize }}{{ partition.totalSize }}\n
\n
\n {{ partition.skippedPercentage }}%\n
\n \n
\n 		\n \n \n {{ partition.status }}\n \n \n \n
\n
\n
\n
\n \n }\n\n @if (activeTab() === 'maintenance') {\n
\n
\n
\n
\n
\n

\n \n Bin-Pack Data File Compaction\n

\n Enabled · Auto\n
\n

\n Merges small files into optimized 128MB Parquet chunks to prevent small file bottleneck\n

\n
\n
\n
\n
\n Target File Size:\n 128 MB\n
\n
\n Small File Threshold:\n < 32 MB\n
\n
\n Execution Schedule:\n Every 2 Hours (cron: 0 */2 * * *)\n
\n
\n Engine:\n Apache Spark Iceberg RewriteDataFiles Action\n
\n
\n
\n
\n\n
\n
\n
\n

\n \n Vacuum & Orphan File Purger\n

\n Enabled · Daily\n
\n

\n Hard-deletes unreferenced data files and uncommitted multi-part upload orphans in S3\n

\n
\n
\n
\n
\n Retention Grace Period:\n 7 Days (168 Hours)\n
\n
\n Storage Reclaimed (30d):\n 1.2 TB freed\n
\n
\n Execution Schedule:\n Daily at 02:00 UTC\n
\n
\n Safety Guard:\n Explicit dry-run verification check\n
\n
\n
\n
\n\n
\n
\n
\n

\n \n Snapshot Expiration Policy\n

\n 30-Day Window\n
\n

\n Controls metadata table history retention for time-travel queries and rollback safety\n

\n
\n
\n
\n
\n Retention Window:\n 30 Days\n
\n
\n Min Snapshots Retained:\n 20 Snapshots\n
\n
\n Clean Expired Metadata:\n Yes (Purge orphan Avro manifests)\n
\n
\n
\n
\n\n
\n
\n
\n

\n \n Manifest File Consolidation\n

\n Optimized\n
\n

\n Rewrites small manifest files to accelerate query planning and metadata scanning\n

\n
\n
\n
\n
\n Active Manifest Count:\n 6 Manifests\n
\n
\n Rewrite Trigger Threshold:\n > 50 Small Manifests\n
\n
\n Query Planning Overhead:\n < 15ms\n
\n
\n
\n
\n
\n
\n }\n\n @if (activeTab() === 'files') {\n
\n
\n
\n

\n File Size Distribution & I/O Amplification Analysis\n

\n

\n Comparison of storage layout before vs. after Iceberg automatic compaction\n

\n
\n \n
\n
\n
\n
\n Before Compaction (Small File Problem)\n 18.4x I/O Amplification\n
\n
\n
\n Total Small Files (<4MB):\n 14,280 Files\n
\n
\n Average File Size:\n 2.4 MB\n
\n
\n Query Scan Latency (P95):\n 8.4 seconds\n
\n
\n S3 GET Request Cost:\n $380 / month\n
\n
\n
\n
\n
\n After Compaction (Optimal Bin-Pack)\n 1.02x Near-Ideal\n
\n
\n
\n Total Target Files (128MB):\n 142 Files\n
\n
\n Average File Size:\n 128.2 MB\n
\n
\n Query Scan Latency (P95):\n 220 milliseconds (38x speedup)\n
\n
\n S3 GET Request Cost:\n $12 / month\n
\n
\n
\n
\n
\n
\n
\n }\n \n \n `,\n})\nexport class UiLakehouseTableOptimizerComponent {\n protected readonly ArrowDownRight = ArrowDownRight\n protected readonly Check = Check\n protected readonly CheckCircle2 = CheckCircle2\n protected readonly Clock = Clock\n protected readonly Copy = Copy\n protected readonly Database = Database\n protected readonly FileCode2 = FileCode2\n protected readonly FileText = FileText\n protected readonly FolderArchive = FolderArchive\n protected readonly HardDrive = HardDrive\n protected readonly History = History\n protected readonly Layers = Layers\n protected readonly RefreshCw = RefreshCw\n protected readonly Search = Search\n protected readonly Server = Server\n protected readonly Terminal = Terminal\n protected readonly Trash2 = Trash2\n protected readonly Workflow = Workflow\n protected readonly Zap = Zap\n\n protected readonly snapshotOps = snapshotOps\n\n @Input() set initialTable(v: TableDetails | undefined) {\n if (v) this.tableOverride.set(v)\n }\n @Input() set initialSnapshots(v: TableSnapshot[] | undefined) {\n if (v) this.snapshots.set([...v])\n }\n @Input() set initialPartitions(v: PartitionRecord[] | undefined) {\n if (v) this.partitions.set([...v])\n }\n @Input() set initialTab(v: string) {\n this.activeTab.set(v ?? 'snapshots')\n }\n @Input('class') className?: string\n\n private readonly tableOverride = signal(undefined)\n readonly table = computed(() => this.tableOverride() ?? defaultTable)\n readonly snapshots = signal([...defaultSnapshots])\n readonly partitions = signal([...defaultPartitions])\n\n readonly selectedSnapshotId = signal('snap_84920194821')\n readonly sqlSyntaxMode = signal('system_time')\n readonly snapshotFilter = signal('ALL')\n readonly snapshotSearch = signal('')\n readonly partitionSearch = signal('')\n readonly activeTab = signal('snapshots')\n\n readonly isCompacting = signal(false)\n readonly isExpiring = signal(false)\n readonly actionNotification = signal(null)\n readonly copiedQuery = signal(false)\n private copyTimer: ReturnType | undefined\n private actionTimer: ReturnType | undefined\n\n readonly selectedSnapshot = computed(\n () => this.snapshots().find((s) => s.id === this.selectedSnapshotId()) ?? this.snapshots()[0]!,\n )\n\n readonly filteredSnapshots = computed(() => {\n const filter = this.snapshotFilter()\n const q = this.snapshotSearch().toLowerCase().trim()\n return this.snapshots().filter((snap) => {\n const matchesOp = filter === 'ALL' || snap.operation === filter\n const matchesSearch =\n q === '' ||\n snap.id.toLowerCase().includes(q) ||\n snap.author.toLowerCase().includes(q) ||\n snap.summary.toLowerCase().includes(q) ||\n snap.operation.toLowerCase().includes(q)\n return matchesOp && matchesSearch\n })\n })\n\n readonly filteredPartitions = computed(() => {\n const q = this.partitionSearch().toLowerCase().trim()\n if (!q) return this.partitions()\n return this.partitions().filter((p) => p.partitionKey.toLowerCase().includes(q))\n })\n\n readonly generatedQuery = computed(() => {\n const currentSnap = this.selectedSnapshot()\n const tableName = this.table().name\n switch (this.sqlSyntaxMode()) {\n case 'system_time':\n return `SELECT * FROM ${tableName}\\nFOR SYSTEM_TIME AS OF '${currentSnap.timestamp}';`\n case 'system_version':\n return `SELECT * FROM ${tableName}\\nFOR SYSTEM_VERSION AS OF ${currentSnap.numericId};`\n case 'pyspark':\n return `# PySpark Iceberg time-travel query\\ndf = spark.read \\\\\\n .format(\"iceberg\") \\\\\\n .option(\"as-of-timestamp\", \"${currentSnap.timestamp}\") \\\\\\n .load(\"${tableName}\")\\n\\ndf.filter(\"customer_id = 'cust_98241'\") \\\\\\n .select(\"event_id\", \"event_type\", \"event_date\", \"payload\") \\\\\\n .show(10)`\n case 'trino':\n return `SELECT event_id, customer_id, event_type, event_date\\nFROM ${tableName}\\nFOR VERSION AS OF ${currentSnap.numericId}\\nWHERE event_type = 'CHECKOUT_COMPLETED'\\nLIMIT 50;`\n default:\n return `SELECT * FROM ${tableName}\\nFOR SYSTEM_TIME AS OF '${currentSnap.timestamp}';`\n }\n })\n\n get rootClass(): string {\n return cn('text-foreground w-full space-y-6', this.className)\n }\n\n setActiveTab(value: string): void {\n this.activeTab.set(value)\n }\n\n selectSnapshot(id: string): void {\n this.selectedSnapshotId.set(id)\n }\n\n selectSnapshotKey(e: KeyboardEvent, id: string): void {\n e.preventDefault()\n this.selectSnapshot(id)\n }\n\n opPillClass(op: string): string {\n const active = this.snapshotFilter() === op\n return cn(\n 'rounded-md px-2 py-1 font-mono text-xs transition-colors',\n active\n ? 'bg-primary text-primary-foreground font-semibold'\n : 'bg-muted text-muted-foreground hover:bg-accent hover:text-foreground',\n )\n }\n\n syntaxClass(mode: SqlSyntaxMode): string {\n const active = this.sqlSyntaxMode() === mode\n return cn(\n 'rounded-md px-2 py-1.5 text-center font-mono text-xs transition-colors',\n active\n ? 'bg-primary text-primary-foreground font-semibold shadow-xs'\n : 'bg-muted text-muted-foreground hover:bg-accent hover:text-foreground',\n )\n }\n\n snapshotCardClass(id: string): string {\n const active = this.selectedSnapshotId() === id\n return cn(\n 'group relative flex cursor-pointer flex-col gap-3 rounded-lg border p-3.5 transition-colors sm:flex-row sm:items-start sm:gap-4',\n active\n ? 'border-primary/60 bg-primary/[0.03] ring-primary/30 shadow-xs ring-1'\n : 'border-border bg-card/60 hover:border-border hover:bg-accent/40',\n )\n }\n\n operationBadgeVariant(op: SnapshotOperation): 'default' | 'secondary' | 'outline' | 'success' | 'warning' | 'info' {\n switch (op) {\n case 'OPTIMIZE':\n return 'success'\n case 'MERGE':\n return 'info'\n case 'APPEND':\n return 'secondary'\n case 'REPLACE_PARTITION':\n return 'warning'\n default:\n return 'outline'\n }\n }\n\n handleCopyQuery(): void {\n try {\n void navigator.clipboard?.writeText(this.generatedQuery())\n this.copiedQuery.set(true)\n clearTimeout(this.copyTimer)\n this.copyTimer = setTimeout(() => this.copiedQuery.set(false), 2000)\n } catch {\n // Clipboard fallback\n }\n }\n\n private notify(message: string): void {\n this.actionNotification.set(message)\n clearTimeout(this.actionTimer)\n this.actionTimer = setTimeout(() => this.actionNotification.set(null), 6000)\n }\n\n runCompaction(): void {\n if (this.isCompacting()) return\n this.isCompacting.set(true)\n this.actionNotification.set(null)\n setTimeout(() => {\n this.isCompacting.set(false)\n this.notify(\n 'Compaction & Vacuum complete: 14,280 small files compacted into 142 optimal 128MB Parquet files. Reclaimed 1.2 TB storage.',\n )\n }, 1800)\n }\n\n expireSnapshots(): void {\n if (this.isExpiring()) return\n this.isExpiring.set(true)\n this.actionNotification.set(null)\n setTimeout(() => {\n this.isExpiring.set(false)\n this.notify(\n 'Snapshot expiration finished: Removed 12 stale snapshots older than 30-day retention window. Purged 872 GB metadata & unreferenced parquet files.',\n )\n }, 1400)\n }\n}\n", "type": "registry:page", "target": "~/src/app/components/blocks/lakehouse-table-optimizer/lakehouse-table-optimizer.component.ts" }, { "path": "packages/registry-angular/blocks/lakehouse-table-optimizer/index.ts", "content": "export {\n UiLakehouseTableOptimizerComponent,\n type TableSnapshot,\n type PartitionRecord,\n type TableDetails,\n type SnapshotOperation,\n type SqlSyntaxMode,\n} from './lakehouse-table-optimizer.component'\n", "type": "registry:page", "target": "~/src/app/components/blocks/lakehouse-table-optimizer/index.ts" } ], "dependencies": [ "lucide-angular" ], "devDependencies": [], "registryDependencies": [ "https://uipkge.dev/r/angular/badge.json", "https://uipkge.dev/r/angular/button.json", "https://uipkge.dev/r/angular/card.json", "https://uipkge.dev/r/angular/progress.json", "https://uipkge.dev/r/angular/separator.json", "https://uipkge.dev/r/angular/table.json", "https://uipkge.dev/r/angular/tabs.json" ], "description": "Apache Iceberg and Delta Lake table maintenance manager, compaction optimizer, snapshot history visualizer, and time-travel SQL query helper.", "categories": [ "devops", "app", "analytics" ] }