Spanner & BigQuery: Perisai Pertahanan Penipuan Real-Time

1. Pengantar

Selamat datang di backend Petverse, game online multiplayer tempat pemain membuat avatar hewan, menjelajahi dunia, dan melakukan transaksi mata uang dalam game.

Baru-baru ini, ekonomi game tersebut terancam. Sejumlah besar uang mengalir dari akun pemain Dog kaya, yang sepenuhnya dikonversi menjadi stok tuna premium. Kami mencurigai sekelompok "Robin Hood Cats" yang mencuri dari kaya untuk memberi makan kucing.

Dalam codelab ini, Anda akan mem-build perisai pertahanan penipuan real-time untuk menangkap dalang dan jaringan bot otomatisnya. Anda akan merasakan bagaimana data operasional di Spanner menyatu dengan analisis di BigQuery untuk mendeteksi dan menyelidiki pola penipuan kompleks dengan kueri grafik (GQL) dan relasional.

Yang akan Anda lakukan

• Mendeteksi anomali dalam streaming real-time menggunakan kueri berkelanjutan BigQuery dan mengirimkannya ke Spanner.
• Menyelidiki jaringan penipuan menggunakan Spanner Graph untuk melacak hubungan keuangan.
• Mengidentifikasi akun bot menggunakan penelusuran vektor Spanner untuk menemukan deskripsi profil yang serupa.
• Mengungkap plot koordinasi menggunakan BigQuery Graph untuk menganalisis log komunikasi yang sangat besar.

Yang akan Anda butuhkan

• Project Google Cloud dengan Penagihan Diaktifkan.
• Pengetahuan dasar tentang SQL, perintah terminal, dan Python.
• Anda mungkin memerlukan akun GitHub (kode dihosting di GitHub).

Audiens: Developer Menengah, Data Engineer, dan Arsitek.

Estimasi Total Durasi: 45 hingga 60 menit.

Estimasi Biaya: Resource yang dibuat dalam codelab ini akan dikenai biaya kurang dari $5.

2. Sebelum Memulai / Penyiapan

💡 Untuk Next ‘26, Anda dapat memanfaatkan kredit untuk menyelesaikan codelab ini. Pindai kode QR di booth Spanner atau minta kode kredit kepada staf booth.

Membuat atau Memilih Project Google Cloud

Anda memerlukan project Google Cloud dengan penagihan yang diaktifkan untuk menggunakan layanan yang diperlukan untuk lab ini.

1. Di Konsol Google Cloud, di halaman pemilih project, pilih atau buat project Google Cloud.
2. Pastikan penagihan diaktifkan untuk project Cloud Anda. Pelajari cara memverifikasi apakah penagihan diaktifkan.
3. Temukan ID project Anda dari halaman beranda Konsol Cloud

Mulai Cloud Shell

Anda akan menggunakan Google Cloud Shell sebagai lingkungan eksekusi. Cloud Shell telah diinstal dengan gcloud, git, dan alat lainnya yang Anda perlukan.

1. Buka Google Cloud Shell.
2. Jika diminta, klik Authorize.
3. Pastikan Anda mengerjakan project Anda dengan menetapkan variabel lingkungan di terminal Cloud Shell:

Ganti <YOUR_PROJECT_ID> dengan ID project Anda yang sebenarnya. Gunakan Ctrl atau Command + v untuk menempel ke terminal.

export PROJECT_ID=<YOUR_PROJECT_ID>
gcloud config set project $PROJECT_ID

Mengaktifkan API yang Diperlukan

Jalankan perintah berikut untuk mengaktifkan API untuk Spanner, BigQuery, dan Vertex AI:

gcloud services enable spanner.googleapis.com \
    bigquery.googleapis.com \
    aiplatform.googleapis.com \
    run.googleapis.com

Membuat Clone Repositori

Buat clone repositori yang berisi kode aplikasi dan skema sampel:

git clone https://github.com/GoogleCloudPlatform/cloud-spanner-samples.git
cd cloud-spanner-samples/spanner-bq-fraud-defense

3. Menyediakan Infrastruktur

Anda kini akan menyiapkan data warehouse di BigQuery dan database operasional di Spanner.

Menyiapkan Set Data dan Koneksi BigQuery

BigQuery akan menganalisis streaming telemetri dari game.

Saat masih berada di dalam konsol di Google Cloud Shell, jalankan perintah berikut untuk memastikan ID project Anda masih ditetapkan:

Ganti <YOUR_PROJECT_ID> dengan ID project Anda yang sebenarnya. Gunakan Ctrl atau Command + v untuk menempel ke terminal.

export PROJECT_ID=<YOUR_PROJECT_ID>
gcloud config set project $PROJECT_ID

1. Buat set data BigQuery game_analytics:

bq mk -d --location=US game_analytics

2. Buat koneksi untuk terhubung ke bucket Cloud Storage dan (opsional) ke Spanner:

bq mk --connection --location=US --project_id=$PROJECT_ID \
    --connection_type=CLOUD_RESOURCE unicorn-connection

3. Buat skema untuk tabel GameplayTelemetry, AccountSignals, Players, dan ChatLogs menggunakan file skema:

bq query --use_legacy_sql=false < bq_schema.sql

Menyiapkan Spanner

Google Cloud Spanner akan menangani transaksi real-time operasional. Untuk lab ini, kita akan menggunakan instance 100 Processing Units (PU) yang hemat biaya.

1. Buat instance Spanner:

gcloud spanner instances create game-instance \
    --config=regional-us-central1 \
    --description="Game Instance" \
    --processing-units=100 \
    --edition=ENTERPRISE

2. Buat database Spanner game-db:

gcloud spanner databases create game-db --instance=game-instance

3. Perbarui skema Spanner dengan tabel aplikasi (Players, Transactions, AccountSignals) dan grafik properti (PlayerNetwork):

gcloud spanner databases ddl update game-db --instance=game-instance --ddl-file=spanner_schema.sql

4. Buat AvatarSearchIndex untuk penelusuran vektor multimodal kita:

gcloud spanner databases ddl update game-db --instance=game-instance \
    --ddl="CREATE SEARCH INDEX AvatarSearchIndex ON Players(AvatarDescriptionTokens)"

Mengimpor Data ke BigQuery

1. Impor data demo ke BigQuery:

bq load --source_format=AVRO game_analytics.GameplayTelemetry gs://sample-data-and-media/spanner-bq-fraud-heist/GameplayTelemetry
bq load --source_format=AVRO game_analytics.AccountSignals gs://sample-data-and-media/spanner-bq-fraud-heist/AccountSignals
bq load --source_format=AVRO game_analytics.Players gs://sample-data-and-media/spanner-bq-fraud-heist/Players
bq load --source_format=AVRO game_analytics.ChatLogs gs://sample-data-and-media/spanner-bq-fraud-heist/ChatLogs

3. Buka Konsol BigQuery dan jelajahi data di set data game_analytics.

Mengimpor Data ke Spanner

Buka Konsol Spanner dan jelajahi data di database game-db.

Klik Spanner Studio dan buka New Query (+).

Tempelkan pernyataan INSERT berikut ke editor kueri dan klik Run:

-- Table: Players
INSERT INTO Players (
  PlayerId,
  Name,
  Species,
  Clan,
  AvatarDescription,
  ProfilePictureUrl,
  CreatedAt
) VALUES
  ('dc8cf07a-ac0f-48da-9f64-4f379492b1e7', 'Pixel', 'Cat', 'CatClan', 'A heroic cat wearing a green tunic and a feathered cap', 'gs://sample-data-and-media/pixel_profile_booth.png', '2026-03-02T05:11:28.077335+00:00'),
  ('e82df4fb-0b6d-44dc-8609-70b41430af38', 'Rocky_1', 'Dog', 'DogClan', 'A robot dog with metal plating', 'gs://sample-data-and-media/wheaten_terrier_102.jpg', '2026-03-02T05:11:28.077374+00:00'),
  ('ea3afac7-54f0-4f68-8ed5-a5b6bd386c59', 'Whiskers_2', 'Cat', 'CatClan', 'A sneaky black cat hiding in the shadows', 'gs://sample-data-and-media/Bengal_100.jpg', '2026-03-02T05:11:28.077389+00:00'),
  ('f37d558b-fd0a-404c-a193-bc3a8a2edfba', 'Felix_3', 'Cat', 'CatClan', 'A cyber-punk cat with neon glasses', 'gs://sample-data-and-media/Abyssinian_1.jpg', '2026-03-02T05:11:28.077407+00:00'),
  ('f3687206-405e-43b6-afb0-8ca73eee5dd1', 'Luna_4', 'Cat', 'CatClan', 'A tabby cat with a red bandana', 'gs://sample-data-and-media/Bengal_100.jpg', '2026-03-02T05:11:28.077419+00:00'),
  ('82383e2d-d3a2-481d-b0cf-bfe165ed9bfd', 'Luna_5', 'Cat', 'CatClan', 'A fluffy persian cat with a golden collar', 'gs://sample-data-and-media/Abyssinian_114.jpg', '2026-03-02T05:11:28.077429+00:00'),
  ('755c7aff-e538-4681-9b90-4b870a42ac72', 'Buddy_6', 'Dog', 'DogClan', 'A tough bulldog with a spiked collar', 'gs://sample-data-and-media/yorkshire_terrier_101.jpg', '2026-03-02T05:11:28.077439+00:00'),
  ('8a034e84-26b3-4198-8ec9-3749b1f60537', 'Charlie_7', 'Dog', 'DogClan', 'A police german shepherd with a badge', 'gs://sample-data-and-media/wheaten_terrier_102.jpg', '2026-03-02T05:11:28.077462+00:00'),
  ('ca288a07-2bf8-46fa-a121-9bd0d0f44c64', 'Rocky_8', 'Dog', 'DogClan', 'A robot dog with metal plating', 'gs://sample-data-and-media/yorkshire_terrier_101.jpg', '2026-03-02T05:11:28.077474+00:00'),
  ('7b2881f0-289b-4ea4-9c0e-c1748249b70a', 'Bella_9', 'Dog', 'DogClan', 'A robot dog with metal plating', 'gs://sample-data-and-media/yorkshire_terrier_101.jpg', '2026-03-02T05:11:28.077484+00:00'),
  ('153f4022-a4ce-404a-8544-25d004fd34ad', 'Simba_10', 'Cat', 'CatClan', 'A tabby cat with a red bandana', 'gs://sample-data-and-media/Bengal_100.jpg', '2026-03-02T05:11:28.077494+00:00'),
  ('3fb82b8e-75a1-49fd-8691-a9dabb42bc4b', 'Charlie_11', 'Dog', 'DogClan', 'A police german shepherd with a badge', 'gs://sample-data-and-media/staffordshire_bull_terrier_116.jpg', '2026-03-02T05:11:28.077507+00:00'),
  ('e37b6dcf-7ccb-47d0-8b9d-0da2fa30ad09', 'Felix_12', 'Cat', 'CatClan', 'A cyber-punk cat with neon glasses', 'gs://sample-data-and-media/Bengal_105.jpg', '2026-03-02T05:11:28.077516+00:00'),
  ('0b395a7b-0673-4348-afd0-7cea9252629f', 'Bella_13', 'Dog', 'DogClan', 'A police german shepherd with a badge', 'gs://sample-data-and-media/yorkshire_terrier_101.jpg', '2026-03-02T05:11:28.077527+00:00'),
  ('64921a63-bea6-4a5c-9e49-7a817678c94f', 'Charlie_14', 'Dog', 'DogClan', 'A tough bulldog with a spiked collar', 'gs://sample-data-and-media/yorkshire_terrier_101.jpg', '2026-03-02T05:11:28.077537+00:00'),
  ('0d9040df-34a3-4e54-b660-a85e3c60a6fe', 'Felix_15', 'Cat', 'CatClan', 'A fluffy persian cat with a golden collar', 'gs://sample-data-and-media/Abyssinian_114.jpg', '2026-03-02T05:11:28.077546+00:00'),
  ('188c23a6-4c3b-4c25-9b40-9ec8ad7712a3', 'Max_16', 'Dog', 'DogClan', 'A fast greyhound wearing a racing vest', 'gs://sample-data-and-media/wheaten_terrier_102.jpg', '2026-03-02T05:11:28.077556+00:00'),
  ('a2eaefc9-dbff-4704-b908-74518d687e17', 'Rocky_17', 'Dog', 'DogClan', 'A tough bulldog with a spiked collar', 'gs://sample-data-and-media/shiba_inu_105.jpg', '2026-03-02T05:11:28.077565+00:00'),
  ('b59d9b9a-a169-43c1-832d-7e7d4acfa19c', 'Felix_18', 'Cat', 'CatClan', 'A sneaky black cat hiding in the shadows', 'gs://sample-data-and-media/Abyssinian_1.jpg', '2026-03-02T05:11:28.077581+00:00'),
  ('7019b91a-d908-4c93-8ed2-d1c60e518630', 'Nala_19', 'Cat', 'CatClan', 'A royal siamese cat wearing a crown', 'gs://sample-data-and-media/Abyssinian_1.jpg', '2026-03-02T05:11:28.077595+00:00'),
  ('1a972a71-a530-407a-b3f7-1dd9b2532cec', 'Luna_20', 'Cat', 'CatClan', 'A sneaky black cat hiding in the shadows', 'gs://sample-data-and-media/Bengal_105.jpg', '2026-03-02T05:11:28.077604+00:00'),
  ('3bd0489d-3f43-428d-be2d-0434f0e04ed8', 'Luna_21', 'Cat', 'CatClan', 'A cyber-punk cat with neon glasses', 'gs://sample-data-and-media/Bombay_104.jpg', '2026-03-02T05:11:28.077613+00:00'),
  ('28d7ab21-7ca7-435b-bdc4-5266a381ef89', 'Whiskers_22', 'Cat', 'CatClan', 'A fluffy persian cat with a golden collar', 'gs://sample-data-and-media/Bombay_104.jpg', '2026-03-02T05:11:28.077623+00:00'),
  ('87d880d4-c949-40e3-8d76-9307b45d57fe', 'Rocky_23', 'Dog', 'DogClan', 'A robot dog with metal plating', 'gs://sample-data-and-media/wheaten_terrier_102.jpg', '2026-03-02T05:11:28.077632+00:00'),
  ('b49a4523-83ff-4f59-8fca-54356928a18b', 'Nala_24', 'Cat', 'CatClan', 'A tabby cat with a red bandana', 'gs://sample-data-and-media/Bengal_105.jpg', '2026-03-02T05:11:28.077641+00:00'),
  ('1e049026-1231-4763-bc50-82cb51950fa2', 'Nala_25', 'Cat', 'CatClan', 'A fluffy persian cat with a golden collar', 'gs://sample-data-and-media/Abyssinian_1.jpg', '2026-03-02T05:11:28.077650+00:00'),
  ('e83caccd-e81e-454a-bf92-9d9a5a509e25', 'Simba_26', 'Cat', 'CatClan', 'A royal siamese cat wearing a crown', 'gs://sample-data-and-media/Bengal_105.jpg', '2026-03-02T05:11:28.077659+00:00'),
  ('45650b49-9701-4415-92a9-79073243d198', 'Simba_27', 'Cat', 'CatClan', 'A royal siamese cat wearing a crown', 'gs://sample-data-and-media/Bombay_104.jpg', '2026-03-02T05:11:28.077668+00:00'),
  ('2eb95b36-c9c3-4720-849b-fc240c9434da', 'Bella_28', 'Dog', 'DogClan', 'A robot dog with metal plating', 'gs://sample-data-and-media/samoyed_97.jpg', '2026-03-02T05:11:28.077677+00:00'),
  ('491943d2-8aa3-4484-9d6d-afcab7ec579a', 'Buddy_29', 'Dog', 'DogClan', 'A robot dog with metal plating', 'gs://sample-data-and-media/wheaten_terrier_102.jpg', '2026-03-02T05:11:28.077687+00:00'),
  ('004ac8b2-a37d-42c8-aba3-35b204f596f0', 'Max_30', 'Dog', 'DogClan', 'A police german shepherd with a badge', 'gs://sample-data-and-media/wheaten_terrier_102.jpg', '2026-03-02T05:11:28.077697+00:00'),
  ('5cf1a55e-7904-4937-a4bd-bf3d1fc1c839', 'Whiskers_31', 'Cat', 'CatClan', 'A royal siamese cat wearing a crown', 'gs://sample-data-and-media/Bengal_100.jpg', '2026-03-02T05:11:28.077706+00:00'),
  ('4736fc20-1c22-49c2-af87-c35802302507', 'Luna_32', 'Cat', 'CatClan', 'A fluffy persian cat with a golden collar', 'gs://sample-data-and-media/Bengal_100.jpg', '2026-03-02T05:11:28.077715+00:00'),
  ('d98fc7ff-dd92-4723-994c-6267ef951bcc', 'Buddy_33', 'Dog', 'DogClan', 'A police german shepherd with a badge', 'gs://sample-data-and-media/staffordshire_bull_terrier_116.jpg', '2026-03-02T05:11:28.077797+00:00'),
  ('3de80488-e1b6-4908-a6ec-9c51f46f43b9', 'Luna_34', 'Cat', 'CatClan', 'A sneaky black cat hiding in the shadows', 'gs://sample-data-and-media/Bombay_104.jpg', '2026-03-02T05:11:28.077821+00:00'),
  ('710128e0-4e1d-479c-acbc-497bbc5bc802', 'Bella_35', 'Dog', 'DogClan', 'A tough bulldog with a spiked collar', 'gs://sample-data-and-media/scottish_terrier_108.jpg', '2026-03-02T05:11:28.077836+00:00'),
  ('7e5d416f-f42c-410e-8e2a-19be0cdfc1e5', 'Simba_36', 'Cat', 'CatClan', 'A royal siamese cat wearing a crown', 'gs://sample-data-and-media/Abyssinian_114.jpg', '2026-03-02T05:11:28.077850+00:00'),
  ('b5af580c-4998-4f68-b52f-5c5b6a9d0aab', 'Buddy_37', 'Dog', 'DogClan', 'A robot dog with metal plating', 'gs://sample-data-and-media/scottish_terrier_108.jpg', '2026-03-02T05:11:28.077864+00:00'),
  ('145cc805-810a-4320-864d-ba6b5c6fbc33', 'Max_38', 'Dog', 'DogClan', 'A tough bulldog with a spiked collar', 'gs://sample-data-and-media/staffordshire_bull_terrier_116.jpg', '2026-03-02T05:11:28.077884+00:00'),
  ('34fa84c8-3356-4ed6-9ac5-967cd2baabac', 'Whiskers_39', 'Cat', 'CatClan', 'A royal siamese cat wearing a crown', 'gs://sample-data-and-media/Bengal_105.jpg', '2026-03-02T05:11:28.077894+00:00'),
  ('a50c967b-2e89-448d-be47-4df628c51572', 'Luna_40', 'Cat', 'CatClan', 'A royal siamese cat wearing a crown', 'gs://sample-data-and-media/Bengal_105.jpg', '2026-03-02T05:11:28.077906+00:00'),
  ('64aeeb22-42db-46bf-85bd-b21b135c9803', 'Simba_41', 'Cat', 'CatClan', 'A cyber-punk cat with neon glasses', 'gs://sample-data-and-media/Bombay_104.jpg', '2026-03-02T05:11:28.077915+00:00'),
  ('dec825d6-91f4-4f8f-b44b-74cf6b4b78f6', 'Felix_42', 'Cat', 'CatClan', 'A sneaky black cat hiding in the shadows', 'gs://sample-data-and-media/Bengal_100.jpg', '2026-03-02T05:11:28.077924+00:00'),
  ('d9380e8d-8949-4849-af57-7a91a1a2b953', 'Bella_43', 'Dog', 'DogClan', 'A police german shepherd with a badge', 'gs://sample-data-and-media/staffordshire_bull_terrier_116.jpg', '2026-03-02T05:11:28.077933+00:00'),
  ('88a425a0-b499-4825-8a16-3d33b85feec9', 'Whiskers_44', 'Cat', 'CatClan', 'A fluffy persian cat with a golden collar', 'gs://sample-data-and-media/Abyssinian_114.jpg', '2026-03-02T05:11:28.077942+00:00'),
  ('e17ae312-37c6-4a66-9172-2d20d8528033', 'Simba_45', 'Cat', 'CatClan', 'A cyber-punk cat with neon glasses', 'gs://sample-data-and-media/Abyssinian_1.jpg', '2026-03-02T05:11:28.077958+00:00'),
  ('ae82282e-d380-4500-99e0-2dc4e276c0cf', 'Nala_46', 'Cat', 'CatClan', 'A cyber-punk cat with neon glasses', 'gs://sample-data-and-media/Bombay_104.jpg', '2026-03-02T05:11:28.077967+00:00'),
  ('9ce13d41-dede-4658-a7e4-7bc00372d65c', 'Simba_47', 'Cat', 'CatClan', 'A cyber-punk cat with neon glasses', 'gs://sample-data-and-media/Bengal_105.jpg', '2026-03-02T05:11:28.077976+00:00'),
  ('8db26b5c-2c09-4578-89bf-f9afaf765e36', 'Whiskers_48', 'Cat', 'CatClan', 'A fluffy persian cat with a golden collar', 'gs://sample-data-and-media/Bengal_100.jpg', '2026-03-02T05:11:28.077989+00:00'),
  ('eb113965-6ee6-459e-ba0f-fb6cb1d0ae34', 'Luna_49', 'Cat', 'CatClan', 'A tabby cat with a red bandana', 'gs://sample-data-and-media/Bombay_104.jpg', '2026-03-02T05:11:28.078002+00:00'),
  ('3f064471-24a0-47cd-8927-925cb3e5df7f', 'Felix_50', 'Cat', 'CatClan', 'A tabby cat with a red bandana', 'gs://sample-data-and-media/Bengal_100.jpg', '2026-03-02T05:11:28.078012+00:00'),
  ('ed20f879-2d42-4ba7-8df7-d696c4b6aafd', 'Whiskers_51', 'Cat', 'CatClan', 'A sneaky black cat hiding in the shadows', 'gs://sample-data-and-media/Bengal_105.jpg', '2026-03-02T05:11:28.078021+00:00'),
  ('7e9bbec4-e2aa-4d67-b1c0-35f7db1d0dae', 'Buddy_52', 'Dog', 'DogClan', 'A fast greyhound wearing a racing vest', 'gs://sample-data-and-media/yorkshire_terrier_101.jpg', '2026-03-02T05:11:28.078030+00:00'),
  ('398de7e0-8f4f-44ba-adfe-503a157cfe7c', 'Rocky_53', 'Dog', 'DogClan', 'A fast greyhound wearing a racing vest', 'gs://sample-data-and-media/staffordshire_bull_terrier_116.jpg', '2026-03-02T05:11:28.078040+00:00'),
  ('0f2948c8-f5ba-4546-bdba-567a27b6b4f0', 'Bella_54', 'Dog', 'DogClan', 'A loyal golden retriever with a happy smile', 'gs://sample-data-and-media/wheaten_terrier_102.jpg', '2026-03-02T05:11:28.078049+00:00'),
  ('0b1e7a03-2922-4d53-8871-290520e6bb76', 'Max_55', 'Dog', 'DogClan', 'A fast greyhound wearing a racing vest', 'gs://sample-data-and-media/wheaten_terrier_102.jpg', '2026-03-02T05:11:28.078059+00:00'),
  ('d0ad6342-88fd-443f-82ba-919fc1d652d0', 'Luna_56', 'Cat', 'CatClan', 'A cyber-punk cat with neon glasses', 'gs://sample-data-and-media/Abyssinian_1.jpg', '2026-03-02T05:11:28.078068+00:00'),
  ('73e9a7c4-09e6-46d8-a093-b241d7d1d5df', 'Charlie_57', 'Dog', 'DogClan', 'A loyal golden retriever with a happy smile', 'gs://sample-data-and-media/wheaten_terrier_102.jpg', '2026-03-02T05:11:28.078081+00:00'),
  ('55a1207d-a029-48da-a79d-c1f3f6824a37', 'Buddy_58', 'Dog', 'DogClan', 'A tough bulldog with a spiked collar', 'gs://sample-data-and-media/wheaten_terrier_102.jpg', '2026-03-02T05:11:28.078090+00:00'),
  ('61dd4370-bff0-4d09-be31-19f19c4dad5d', 'Max_59', 'Dog', 'DogClan', 'A tough bulldog with a spiked collar', 'gs://sample-data-and-media/wheaten_terrier_102.jpg', '2026-03-02T05:11:28.078099+00:00'),
  ('4e9dfce6-555b-434a-81b6-237c61b9b530', 'Merry_Cat_0', 'Cat', 'RobinHoods', 'A sneaky rebel cat wearing a green tunic and a feathered cap', 'gs://sample-data-and-media/Bombay_104.jpg', '2026-03-02T05:11:28.078112+00:00'),
  ('686337b0-304e-4270-89c3-d015f9039294', 'Merry_Cat_1', 'Cat', 'RobinHoods', 'A sneaky rebel cat wearing a green tunic and a feathered cap', 'gs://sample-data-and-media/Abyssinian_114.jpg', '2026-03-02T05:11:28.078165+00:00'),
  ('1627bc18-c42e-4599-b5f1-6f3d52669edb', 'Merry_Cat_2', 'Cat', 'RobinHoods', 'A sneaky rebel cat wearing a green tunic and a feathered cap', 'gs://sample-data-and-media/Bengal_100.jpg', '2026-03-02T05:11:28.078212+00:00'),
  ('215b3d04-402a-4ac2-83ed-1edb9a421691', 'Merry_Cat_3', 'Cat', 'RobinHoods', 'A sneaky rebel cat wearing a green tunic and a feathered cap', 'gs://sample-data-and-media/Bengal_105.jpg', '2026-03-02T05:11:28.078258+00:00'),
  ('78d66ff4-0519-4157-9d95-76c2900ba7f9', 'Merry_Cat_4', 'Cat', 'RobinHoods', 'A sneaky rebel cat wearing a green tunic and a feathered cap', 'gs://sample-data-and-media/Abyssinian_114.jpg', '2026-03-02T05:11:28.078301+00:00'),
  ('822a8aae-57bd-460e-9643-69815990bec8', 'Merry_Cat_5', 'Cat', 'RobinHoods', 'A sneaky rebel cat wearing a green tunic and a feathered cap', 'gs://sample-data-and-media/Bombay_104.jpg', '2026-03-02T05:11:28.078349+00:00'),
  ('9f223b65-41a3-495e-940a-5a07d2ba4ba7', 'Merry_Cat_6', 'Cat', 'RobinHoods', 'A sneaky rebel cat wearing a green tunic and a feathered cap', 'gs://sample-data-and-media/Abyssinian_114.jpg', '2026-03-02T05:11:28.078390+00:00'),
  ('3910b199-caf7-4822-8346-1ba9bd750c8e', 'Merry_Cat_7', 'Cat', 'RobinHoods', 'A sneaky rebel cat wearing a green tunic and a feathered cap', 'gs://sample-data-and-media/Bengal_105.jpg', '2026-03-02T05:11:28.078427+00:00'),
  ('78c129b6-21e5-40c6-b9cf-d25ad5193e68', 'Merry_Cat_8', 'Cat', 'RobinHoods', 'A sneaky rebel cat wearing a green tunic and a feathered cap', 'gs://sample-data-and-media/Bengal_100.jpg', '2026-03-02T05:11:28.078463+00:00'),
  ('eba84e9d-bd10-466e-8fcd-899c0a868149', 'Merry_Cat_9', 'Cat', 'RobinHoods', 'A sneaky rebel cat wearing a green tunic and a feathered cap', 'gs://sample-data-and-media/Bombay_104.jpg', '2026-03-02T05:11:28.078508+00:00'),
  ('37a1e15c-a38c-4763-a2bd-042741bce012', 'Merry_Cat_10', 'Cat', 'RobinHoods', 'A sneaky rebel cat wearing a green tunic and a feathered cap', 'gs://sample-data-and-media/Bombay_104.jpg', '2026-03-02T05:11:28.078544+00:00'),
  ('c5337857-3b58-4b0c-8814-4585dcbf765f', 'Merry_Cat_11', 'Cat', 'RobinHoods', 'A sneaky rebel cat wearing a green tunic and a feathered cap', 'gs://sample-data-and-media/Bombay_104.jpg', '2026-03-02T05:11:28.078587+00:00');

-- Table: Transactions
INSERT INTO Transactions (
  TransactionId,
  SenderId,
  ReceiverId,
  Amount,
  Timestamp,
  IsSuspicious
) VALUES
  ('83086ce9-1813-40c7-8e60-624662e7dff8', '0f2948c8-f5ba-4546-bdba-567a27b6b4f0', '4e9dfce6-555b-434a-81b6-237c61b9b530', 13481, '2026-03-02T05:11:28.078136+00:00', TRUE),
  ('8c8f38a8-424f-4752-b662-78800e04b137', '4e9dfce6-555b-434a-81b6-237c61b9b530', 'dc8cf07a-ac0f-48da-9f64-4f379492b1e7', 7327, '2026-03-02T05:11:28.078145+00:00', TRUE),
  ('e4b88c5e-ad32-4fa7-87d7-7e7e70ab133a', '3fb82b8e-75a1-49fd-8691-a9dabb42bc4b', '686337b0-304e-4270-89c3-d015f9039294', 11283, '2026-03-02T05:11:28.078182+00:00', TRUE),
  ('8fe11946-c0ef-4b84-a259-11850955a3ea', '686337b0-304e-4270-89c3-d015f9039294', 'dc8cf07a-ac0f-48da-9f64-4f379492b1e7', 8181, '2026-03-02T05:11:28.078191+00:00', TRUE),
  ('c2d024eb-9131-47ce-84c0-3404e5a01db0', '145cc805-810a-4320-864d-ba6b5c6fbc33', '1627bc18-c42e-4599-b5f1-6f3d52669edb', 11086, '2026-03-02T05:11:28.078228+00:00', TRUE),
  ('7a51d50f-63ac-4406-b4df-2d6fd862977f', '1627bc18-c42e-4599-b5f1-6f3d52669edb', 'dc8cf07a-ac0f-48da-9f64-4f379492b1e7', 9443, '2026-03-02T05:11:28.078237+00:00', TRUE),
  ('edc980d0-539e-4951-9eaf-4ba98b88b40c', '2eb95b36-c9c3-4720-849b-fc240c9434da', '215b3d04-402a-4ac2-83ed-1edb9a421691', 10438, '2026-03-02T05:11:28.078274+00:00', TRUE),
  ('0e98eb5f-a942-4bb3-931a-1de1bdbb2e03', '215b3d04-402a-4ac2-83ed-1edb9a421691', 'dc8cf07a-ac0f-48da-9f64-4f379492b1e7', 7612, '2026-03-02T05:11:28.078286+00:00', TRUE),
  ('13cf3599-f18a-47a5-8b7d-71f9eda250ab', 'ca288a07-2bf8-46fa-a121-9bd0d0f44c64', '78d66ff4-0519-4157-9d95-76c2900ba7f9', 14301, '2026-03-02T05:11:28.078318+00:00', TRUE),
  ('db7051ef-aa4b-47fa-a54e-54ff03dbabf1', '78d66ff4-0519-4157-9d95-76c2900ba7f9', 'dc8cf07a-ac0f-48da-9f64-4f379492b1e7', 10294, '2026-03-02T05:11:28.078330+00:00', TRUE),
  ('9080d8a1-def2-4b95-bc9f-56c25ec9c3ba', 'e82df4fb-0b6d-44dc-8609-70b41430af38', '822a8aae-57bd-460e-9643-69815990bec8', 9613, '2026-03-02T05:11:28.078365+00:00', TRUE),
  ('06593b48-2546-4a52-a078-cf4ddfaed856', '822a8aae-57bd-460e-9643-69815990bec8', 'dc8cf07a-ac0f-48da-9f64-4f379492b1e7', 9787, '2026-03-02T05:11:28.078376+00:00', TRUE),
  ('d540b1d5-5e20-4252-985c-275b82fdad80', '491943d2-8aa3-4484-9d6d-afcab7ec579a', '9f223b65-41a3-495e-940a-5a07d2ba4ba7', 11403, '2026-03-02T05:11:28.078406+00:00', TRUE),
  ('6ba654b3-4c04-48ed-9975-1aae3f557a38', '9f223b65-41a3-495e-940a-5a07d2ba4ba7', 'dc8cf07a-ac0f-48da-9f64-4f379492b1e7', 13564, '2026-03-02T05:11:28.078413+00:00', TRUE),
  ('da73004f-a9e6-4078-af54-4dc7a697a0e4', '710128e0-4e1d-479c-acbc-497bbc5bc802', '3910b199-caf7-4822-8346-1ba9bd750c8e', 10088, '2026-03-02T05:11:28.078442+00:00', TRUE),
  ('ac25cfd6-1c64-483a-8b36-5fe4c6c36e36', '3910b199-caf7-4822-8346-1ba9bd750c8e', 'dc8cf07a-ac0f-48da-9f64-4f379492b1e7', 11354, '2026-03-02T05:11:28.078450+00:00', TRUE),
  ('3f09bdb0-5831-44f8-b293-98cbdb953c9d', 'd98fc7ff-dd92-4723-994c-6267ef951bcc', '78c129b6-21e5-40c6-b9cf-d25ad5193e68', 12426, '2026-03-02T05:11:28.078479+00:00', TRUE),
  ('65803100-7b84-4ff5-a273-b54fe48d5ad2', '78c129b6-21e5-40c6-b9cf-d25ad5193e68', 'dc8cf07a-ac0f-48da-9f64-4f379492b1e7', 13858, '2026-03-02T05:11:28.078490+00:00', TRUE),
  ('7caeab6c-eb5c-4284-9857-87ab6ba744d1', '398de7e0-8f4f-44ba-adfe-503a157cfe7c', 'eba84e9d-bd10-466e-8fcd-899c0a868149', 14851, '2026-03-02T05:11:28.078523+00:00', TRUE),
  ('441b31cd-1c7b-4385-a5da-490a6c98d58d', 'eba84e9d-bd10-466e-8fcd-899c0a868149', 'dc8cf07a-ac0f-48da-9f64-4f379492b1e7', 12481, '2026-03-02T05:11:28.078530+00:00', TRUE),
  ('ea509bae-75a0-4878-b73c-0688efd2808e', 'd9380e8d-8949-4849-af57-7a91a1a2b953', '37a1e15c-a38c-4763-a2bd-042741bce012', 8042, '2026-03-02T05:11:28.078564+00:00', TRUE),
  ('7ac7d043-2744-4689-835a-20b21dca962b', '37a1e15c-a38c-4763-a2bd-042741bce012', 'dc8cf07a-ac0f-48da-9f64-4f379492b1e7', 11248, '2026-03-02T05:11:28.078572+00:00', TRUE),
  ('1fdfc9a6-af31-4151-a96e-6df93e8fafff', '3fb82b8e-75a1-49fd-8691-a9dabb42bc4b', 'c5337857-3b58-4b0c-8814-4585dcbf765f', 11357, '2026-03-02T05:11:28.078603+00:00', TRUE),
  ('3408e82d-61c5-49e1-a037-b8e25422d9ca', 'c5337857-3b58-4b0c-8814-4585dcbf765f', 'dc8cf07a-ac0f-48da-9f64-4f379492b1e7', 13411, '2026-03-02T05:11:28.078612+00:00', TRUE),
  ('a63fa5df-9d00-44e4-bd00-3d993c737a99', '82383e2d-d3a2-481d-b0cf-bfe165ed9bfd', '28d7ab21-7ca7-435b-bdc4-5266a381ef89', 312, '2026-03-02T05:11:28.078658+00:00', FALSE),
  ('26b8b704-7b50-4ce5-894f-452741649286', 'e17ae312-37c6-4a66-9172-2d20d8528033', '7b2881f0-289b-4ea4-9c0e-c1748249b70a', 52, '2026-03-02T05:11:28.078679+00:00', FALSE),
  ('9d8197de-888c-42ce-8bcf-ef0fe6fccc39', '82383e2d-d3a2-481d-b0cf-bfe165ed9bfd', '188c23a6-4c3b-4c25-9b40-9ec8ad7712a3', 65, '2026-03-02T05:11:28.078700+00:00', FALSE),
  ('b0fd1afe-871a-4afc-be00-5c203b147a90', 'eb113965-6ee6-459e-ba0f-fb6cb1d0ae34', '61dd4370-bff0-4d09-be31-19f19c4dad5d', 292, '2026-03-02T05:11:28.078715+00:00', FALSE),
  ('b7be0c34-2d44-4d48-8cef-ddb74dd11260', 'ea3afac7-54f0-4f68-8ed5-a5b6bd386c59', '45650b49-9701-4415-92a9-79073243d198', 199, '2026-03-02T05:11:28.078730+00:00', FALSE),
  ('0baea611-d24a-43d6-be24-49286f4b80bc', 'c5337857-3b58-4b0c-8814-4585dcbf765f', 'e17ae312-37c6-4a66-9172-2d20d8528033', 313, '2026-03-02T05:11:28.078739+00:00', FALSE),
  ('936234c3-3d96-4649-8679-cdc7a35c7c14', '28d7ab21-7ca7-435b-bdc4-5266a381ef89', 'e83caccd-e81e-454a-bf92-9d9a5a509e25', 306, '2026-03-02T05:11:28.078748+00:00', FALSE),
  ('f29c2881-9ce1-47e3-8934-be21250d807b', '55a1207d-a029-48da-a79d-c1f3f6824a37', '1e049026-1231-4763-bc50-82cb51950fa2', 356, '2026-03-02T05:11:28.078757+00:00', FALSE),
  ('aea90ceb-8669-48b2-ad20-903fa2592cc4', '78c129b6-21e5-40c6-b9cf-d25ad5193e68', 'ca288a07-2bf8-46fa-a121-9bd0d0f44c64', 320, '2026-03-02T05:11:28.078766+00:00', FALSE),
  ('e5cb67d4-7fb5-4788-b705-e4b156846cf1', '37a1e15c-a38c-4763-a2bd-042741bce012', '45650b49-9701-4415-92a9-79073243d198', 96, '2026-03-02T05:11:28.078780+00:00', FALSE),
  ('1484d14a-4ece-4c60-8760-aca02d8912d3', 'b49a4523-83ff-4f59-8fca-54356928a18b', '4e9dfce6-555b-434a-81b6-237c61b9b530', 286, '2026-03-02T05:11:28.078797+00:00', FALSE),
  ('55bfca86-c16e-4d83-a3be-4a9339b5ca90', '7e9bbec4-e2aa-4d67-b1c0-35f7db1d0dae', 'e82df4fb-0b6d-44dc-8609-70b41430af38', 94, '2026-03-02T05:11:28.078812+00:00', FALSE),
  ('626b175d-7954-4b48-bfc3-47e1759eb62e', '4e9dfce6-555b-434a-81b6-237c61b9b530', '2eb95b36-c9c3-4720-849b-fc240c9434da', 364, '2026-03-02T05:11:28.078826+00:00', FALSE),
  ('657b64cd-eb82-47f7-af15-c485f09e4c6a', 'dec825d6-91f4-4f8f-b44b-74cf6b4b78f6', '9ce13d41-dede-4658-a7e4-7bc00372d65c', 180, '2026-03-02T05:11:28.078835+00:00', FALSE),
  ('45a3d118-9ada-400f-8007-f90f6573012f', 'f3687206-405e-43b6-afb0-8ca73eee5dd1', 'c5337857-3b58-4b0c-8814-4585dcbf765f', 21, '2026-03-02T05:11:28.078844+00:00', FALSE),
  ('bad0c577-9063-4315-a923-609b55354aec', '28d7ab21-7ca7-435b-bdc4-5266a381ef89', '0f2948c8-f5ba-4546-bdba-567a27b6b4f0', 96, '2026-03-02T05:11:28.078852+00:00', FALSE),
  ('f3f3c44c-29e5-4356-bcdb-34fceead7277', '4e9dfce6-555b-434a-81b6-237c61b9b530', '45650b49-9701-4415-92a9-79073243d198', 206, '2026-03-02T05:11:28.078863+00:00', FALSE),
  ('89e9f697-6cfe-4a11-ada1-2846a9a0e815', '7b2881f0-289b-4ea4-9c0e-c1748249b70a', '1627bc18-c42e-4599-b5f1-6f3d52669edb', 62, '2026-03-02T05:11:28.078878+00:00', FALSE),
  ('2d980b9e-ec93-4d4c-98b1-4f9440489e0e', '28d7ab21-7ca7-435b-bdc4-5266a381ef89', 'e17ae312-37c6-4a66-9172-2d20d8528033', 379, '2026-03-02T05:11:28.078894+00:00', FALSE),
  ('1eabdf25-5b41-4773-8870-bb3e71ad320a', '0b395a7b-0673-4348-afd0-7cea9252629f', '7b2881f0-289b-4ea4-9c0e-c1748249b70a', 10, '2026-03-02T05:11:28.078911+00:00', FALSE),
  ('eeb9524c-5aa7-4c5a-a8b6-b96fea0c0502', '1a972a71-a530-407a-b3f7-1dd9b2532cec', '78d66ff4-0519-4157-9d95-76c2900ba7f9', 200, '2026-03-02T05:11:28.079050+00:00', FALSE),
  ('2c38f9e6-97fe-477f-8ceb-a6e29880c926', '188c23a6-4c3b-4c25-9b40-9ec8ad7712a3', '0f2948c8-f5ba-4546-bdba-567a27b6b4f0', 197, '2026-03-02T05:11:28.079063+00:00', FALSE),
  ('a85ab466-5c6d-4863-b5fd-ec5418a52534', 'a50c967b-2e89-448d-be47-4df628c51572', '9f223b65-41a3-495e-940a-5a07d2ba4ba7', 215, '2026-03-02T05:11:28.079079+00:00', FALSE),
  ('b273c634-1b47-492e-9651-d32e54bdcbb8', 'ae82282e-d380-4500-99e0-2dc4e276c0cf', '491943d2-8aa3-4484-9d6d-afcab7ec579a', 298, '2026-03-02T05:11:28.079088+00:00', FALSE),
  ('93956d3c-c44b-4624-87d8-ac139b1310d0', 'dec825d6-91f4-4f8f-b44b-74cf6b4b78f6', '2eb95b36-c9c3-4720-849b-fc240c9434da', 495, '2026-03-02T05:11:28.079096+00:00', FALSE),
  ('1d827b0f-710e-4af6-8492-4e8753c11584', '153f4022-a4ce-404a-8544-25d004fd34ad', '9ce13d41-dede-4658-a7e4-7bc00372d65c', 242, '2026-03-02T05:11:28.079107+00:00', FALSE),
  ('226c5063-77e1-4888-90f1-a1f23cfb7461', '004ac8b2-a37d-42c8-aba3-35b204f596f0', 'c5337857-3b58-4b0c-8814-4585dcbf765f', 63, '2026-03-02T05:11:28.079115+00:00', FALSE),
  ('11584808-fc90-4f7f-bbb0-d9b444bf09b9', '3de80488-e1b6-4908-a6ec-9c51f46f43b9', 'a50c967b-2e89-448d-be47-4df628c51572', 385, '2026-03-02T05:11:28.079124+00:00', FALSE),
  ('69ac1396-8377-4e44-9257-d14eafdd8c3d', 'b59d9b9a-a169-43c1-832d-7e7d4acfa19c', '4e9dfce6-555b-434a-81b6-237c61b9b530', 331, '2026-03-02T05:11:28.079133+00:00', FALSE),
  ('c0400153-b737-4c54-8ae3-c6958c481aa5', '4e9dfce6-555b-434a-81b6-237c61b9b530', 'f3687206-405e-43b6-afb0-8ca73eee5dd1', 254, '2026-03-02T05:11:28.079142+00:00', FALSE),
  ('80ca0f0e-6a9d-446a-adeb-16a4388120f4', '755c7aff-e538-4681-9b90-4b870a42ac72', '0b1e7a03-2922-4d53-8871-290520e6bb76', 183, '2026-03-02T05:11:28.079150+00:00', FALSE),
  ('289f79a4-5743-4577-9880-85648f4e4c17', '8db26b5c-2c09-4578-89bf-f9afaf765e36', '1a972a71-a530-407a-b3f7-1dd9b2532cec', 344, '2026-03-02T05:11:28.079159+00:00', FALSE),
  ('fcea8d5f-c180-480d-83eb-45bd0801e1f3', 'a50c967b-2e89-448d-be47-4df628c51572', '78d66ff4-0519-4157-9d95-76c2900ba7f9', 416, '2026-03-02T05:11:28.079167+00:00', FALSE),
  ('a142f26e-c281-44d7-b7f2-e023a2362f56', '8a034e84-26b3-4198-8ec9-3749b1f60537', 'a2eaefc9-dbff-4704-b908-74518d687e17', 168, '2026-03-02T05:11:28.079176+00:00', FALSE),
  ('ad62fcc0-2bb3-430c-9dda-dd309e346f59', '0f2948c8-f5ba-4546-bdba-567a27b6b4f0', 'e83caccd-e81e-454a-bf92-9d9a5a509e25', 18, '2026-03-02T05:11:28.079185+00:00', FALSE),
  ('2ba99e26-8967-4cc0-b024-4545ea3220d9', '61dd4370-bff0-4d09-be31-19f19c4dad5d', 'dec825d6-91f4-4f8f-b44b-74cf6b4b78f6', 489, '2026-03-02T05:11:28.079194+00:00', FALSE),
  ('7c8c664b-5491-47f2-bd93-c5ad2a263e87', 'b5af580c-4998-4f68-b52f-5c5b6a9d0aab', '7e9bbec4-e2aa-4d67-b1c0-35f7db1d0dae', 175, '2026-03-02T05:11:28.079202+00:00', FALSE),
  ('3e5b5fae-26c5-44ff-97c0-e1b0624e208d', '7019b91a-d908-4c93-8ed2-d1c60e518630', '9ce13d41-dede-4658-a7e4-7bc00372d65c', 272, '2026-03-02T05:11:28.079211+00:00', FALSE),
  ('6995eaea-b5f3-4291-a1e4-68450d25b19b', 'd98fc7ff-dd92-4723-994c-6267ef951bcc', '88a425a0-b499-4825-8a16-3d33b85feec9', 186, '2026-03-02T05:11:28.079219+00:00', FALSE),
  ('9c50c700-e887-4336-b092-d5e37120d304', 'f37d558b-fd0a-404c-a193-bc3a8a2edfba', '3de80488-e1b6-4908-a6ec-9c51f46f43b9', 15, '2026-03-02T05:11:28.079232+00:00', FALSE),
  ('9e27bc69-bb96-4392-8e2c-a911db3e9dcb', 'e37b6dcf-7ccb-47d0-8b9d-0da2fa30ad09', 'd9380e8d-8949-4849-af57-7a91a1a2b953', 81, '2026-03-02T05:11:28.079241+00:00', FALSE),
  ('ba31c88c-49ec-4934-bc99-f036aa1e3cb5', '0d9040df-34a3-4e54-b660-a85e3c60a6fe', 'f37d558b-fd0a-404c-a193-bc3a8a2edfba', 208, '2026-03-02T05:11:28.079259+00:00', FALSE),
  ('93e0c429-0788-492a-935a-4674a4cf1522', '4736fc20-1c22-49c2-af87-c35802302507', '5cf1a55e-7904-4937-a4bd-bf3d1fc1c839', 244, '2026-03-02T05:11:28.079268+00:00', FALSE),
  ('9f001cbb-a6fb-4192-a0ae-892219b99444', '4736fc20-1c22-49c2-af87-c35802302507', 'eba84e9d-bd10-466e-8fcd-899c0a868149', 239, '2026-03-02T05:11:28.079277+00:00', FALSE),
  ('0ee4d029-3905-49ab-98cb-c7e5ffcd08bc', 'c5337857-3b58-4b0c-8814-4585dcbf765f', 'f37d558b-fd0a-404c-a193-bc3a8a2edfba', 204, '2026-03-02T05:11:28.079290+00:00', FALSE),
  ('e39956dd-af1f-4cc9-8831-cabbfbf5bec6', '61dd4370-bff0-4d09-be31-19f19c4dad5d', '398de7e0-8f4f-44ba-adfe-503a157cfe7c', 129, '2026-03-02T05:11:28.079310+00:00', FALSE),
  ('2404c2d3-4738-40f3-a169-9af84c909a79', '1e049026-1231-4763-bc50-82cb51950fa2', '87d880d4-c949-40e3-8d76-9307b45d57fe', 14, '2026-03-02T05:11:28.079319+00:00', FALSE),
  ('c9ba7281-5b78-4fe2-ad7c-105fafaad0b4', '8db26b5c-2c09-4578-89bf-f9afaf765e36', '82383e2d-d3a2-481d-b0cf-bfe165ed9bfd', 232, '2026-03-02T05:11:28.079327+00:00', FALSE),
  ('b848f820-a6d9-4f2b-b7e1-13ddfd887fe1', '61dd4370-bff0-4d09-be31-19f19c4dad5d', 'dec825d6-91f4-4f8f-b44b-74cf6b4b78f6', 426, '2026-03-02T05:11:28.079336+00:00', FALSE),
  ('db409655-050a-41e1-be6b-52c9d792deb2', '1a972a71-a530-407a-b3f7-1dd9b2532cec', 'eba84e9d-bd10-466e-8fcd-899c0a868149', 448, '2026-03-02T05:11:28.079344+00:00', FALSE),
  ('79811268-69cf-4542-8258-ad795155964c', '73e9a7c4-09e6-46d8-a093-b241d7d1d5df', '4e9dfce6-555b-434a-81b6-237c61b9b530', 244, '2026-03-02T05:11:28.079353+00:00', FALSE),
  ('71b40f64-aef1-4a83-a021-3118c6404475', 'd0ad6342-88fd-443f-82ba-919fc1d652d0', '9ce13d41-dede-4658-a7e4-7bc00372d65c', 223, '2026-03-02T05:11:28.079361+00:00', FALSE),
  ('06b9f40d-2988-446f-9eaf-7222198b7c52', '0b395a7b-0673-4348-afd0-7cea9252629f', '37a1e15c-a38c-4763-a2bd-042741bce012', 290, '2026-03-02T05:11:28.079374+00:00', FALSE),
  ('d3a2bd8f-5796-48bd-82bb-1c94f89b24a4', '0b1e7a03-2922-4d53-8871-290520e6bb76', 'b5af580c-4998-4f68-b52f-5c5b6a9d0aab', 411, '2026-03-02T05:11:28.079385+00:00', FALSE),
  ('1b8d50ce-4083-4b0b-b12d-b94529d200f3', '0b395a7b-0673-4348-afd0-7cea9252629f', '9f223b65-41a3-495e-940a-5a07d2ba4ba7', 237, '2026-03-02T05:11:28.079393+00:00', FALSE),
  ('d6ed7dff-b106-42cf-99c7-4f15bf114b79', 'e82df4fb-0b6d-44dc-8609-70b41430af38', '215b3d04-402a-4ac2-83ed-1edb9a421691', 205, '2026-03-02T05:11:28.079402+00:00', FALSE),
  ('de837bd6-5b12-47a3-ac05-c8fa4ac02ca3', '78c129b6-21e5-40c6-b9cf-d25ad5193e68', '73e9a7c4-09e6-46d8-a093-b241d7d1d5df', 251, '2026-03-02T05:11:28.079411+00:00', FALSE),
  ('56080f4e-a404-4340-b119-8f82a1f2d6d0', '3fb82b8e-75a1-49fd-8691-a9dabb42bc4b', '755c7aff-e538-4681-9b90-4b870a42ac72', 334, '2026-03-02T05:11:28.079419+00:00', FALSE),
  ('db94e731-6ed8-42a4-a62d-2227814c95f7', '78d66ff4-0519-4157-9d95-76c2900ba7f9', '87d880d4-c949-40e3-8d76-9307b45d57fe', 477, '2026-03-02T05:11:28.079428+00:00', FALSE),
  ('cf051085-4625-44aa-bf03-e4529f1324d8', '3de80488-e1b6-4908-a6ec-9c51f46f43b9', '34fa84c8-3356-4ed6-9ac5-967cd2baabac', 285, '2026-03-02T05:11:28.079441+00:00', FALSE),
  ('137f933b-40a1-441d-b547-d296bc977244', '82383e2d-d3a2-481d-b0cf-bfe165ed9bfd', '822a8aae-57bd-460e-9643-69815990bec8', 34, '2026-03-02T05:11:28.079449+00:00', FALSE),
  ('164295cd-bb80-4c24-bbfa-29b582aa8e0f', '3f064471-24a0-47cd-8927-925cb3e5df7f', 'b59d9b9a-a169-43c1-832d-7e7d4acfa19c', 311, '2026-03-02T05:11:28.079458+00:00', FALSE),
  ('2b3a7e6b-7474-439e-b387-baa708683ca8', 'e83caccd-e81e-454a-bf92-9d9a5a509e25', '755c7aff-e538-4681-9b90-4b870a42ac72', 432, '2026-03-02T05:11:28.079466+00:00', FALSE),
  ('fcecd45c-f950-4704-9405-8ff6cc34f3fc', 'ea3afac7-54f0-4f68-8ed5-a5b6bd386c59', 'b5af580c-4998-4f68-b52f-5c5b6a9d0aab', 368, '2026-03-02T05:11:28.079474+00:00', FALSE),
  ('c2d81a86-0c03-4495-a1e8-702e1754f424', '2eb95b36-c9c3-4720-849b-fc240c9434da', '34fa84c8-3356-4ed6-9ac5-967cd2baabac', 353, '2026-03-02T05:11:28.079483+00:00', FALSE),
  ('462f5078-6df6-4f57-843e-47d0b51bc7ea', '8a034e84-26b3-4198-8ec9-3749b1f60537', '1a972a71-a530-407a-b3f7-1dd9b2532cec', 173, '2026-03-02T05:11:28.079496+00:00', FALSE),
  ('059a2a27-e019-4f5f-8e24-8208898c723f', '4e9dfce6-555b-434a-81b6-237c61b9b530', '5cf1a55e-7904-4937-a4bd-bf3d1fc1c839', 411, '2026-03-02T05:11:28.079507+00:00', FALSE),
  ('8ab52f88-d38c-4c60-b9ca-c2d08a337a33', '64921a63-bea6-4a5c-9e49-7a817678c94f', '5cf1a55e-7904-4937-a4bd-bf3d1fc1c839', 457, '2026-03-02T05:11:28.079516+00:00', FALSE),
  ('117ff05e-21d2-48ab-a3c8-29e61658c822', 'c5337857-3b58-4b0c-8814-4585dcbf765f', '7b2881f0-289b-4ea4-9c0e-c1748249b70a', 142, '2026-03-02T05:11:28.079525+00:00', FALSE),
  ('34e5ea80-59b4-4cb0-a8c1-552e2ba6ecc5', 'eb113965-6ee6-459e-ba0f-fb6cb1d0ae34', '3910b199-caf7-4822-8346-1ba9bd750c8e', 142, '2026-03-02T05:11:28.079533+00:00', FALSE),
  ('db1cfbb1-8555-492e-b6c9-45f8040c469b', '0f2948c8-f5ba-4546-bdba-567a27b6b4f0', 'ae82282e-d380-4500-99e0-2dc4e276c0cf', 478, '2026-03-02T05:11:28.079542+00:00', FALSE),
  ('370f50b3-e558-447e-bfbe-fe4eca7e9628', '9ce13d41-dede-4658-a7e4-7bc00372d65c', '3910b199-caf7-4822-8346-1ba9bd750c8e', 72, '2026-03-02T05:11:28.079550+00:00', FALSE),
  ('d08c71a3-bfde-4f95-895a-dc6fa810250f', 'b59d9b9a-a169-43c1-832d-7e7d4acfa19c', '822a8aae-57bd-460e-9643-69815990bec8', 330, '2026-03-02T05:11:28.079558+00:00', FALSE),
  ('81d6bb50-9127-4e2d-acd5-ecaaa797fcb1', '1a972a71-a530-407a-b3f7-1dd9b2532cec', '82383e2d-d3a2-481d-b0cf-bfe165ed9bfd', 149, '2026-03-02T05:11:28.079567+00:00', FALSE),
  ('6ac1ba71-9852-4f0c-97b2-0bb166057ef0', '3de80488-e1b6-4908-a6ec-9c51f46f43b9', '2eb95b36-c9c3-4720-849b-fc240c9434da', 479, '2026-03-02T05:11:28.079575+00:00', FALSE),
  ('9125a495-66f2-435b-8eab-8a2557f55820', '7b2881f0-289b-4ea4-9c0e-c1748249b70a', '9f223b65-41a3-495e-940a-5a07d2ba4ba7', 220, '2026-03-02T05:11:28.079670+00:00', FALSE),
  ('e11b19c9-6bf7-45e2-9831-bb42050b7e8e', '78c129b6-21e5-40c6-b9cf-d25ad5193e68', '4e9dfce6-555b-434a-81b6-237c61b9b530', 380, '2026-03-02T05:11:28.079687+00:00', FALSE),
  ('09b6649c-99a3-48c3-864b-9cbd3d57980a', '7e9bbec4-e2aa-4d67-b1c0-35f7db1d0dae', 'ed20f879-2d42-4ba7-8df7-d696c4b6aafd', 317, '2026-03-02T05:11:28.079696+00:00', FALSE),
  ('68940de9-65d3-4afb-b080-0354b5c6b1a5', '153f4022-a4ce-404a-8544-25d004fd34ad', '82383e2d-d3a2-481d-b0cf-bfe165ed9bfd', 284, '2026-03-02T05:11:28.079710+00:00', FALSE),
  ('050b1905-c72a-446d-81f7-087cddb24434', '1a972a71-a530-407a-b3f7-1dd9b2532cec', 'e17ae312-37c6-4a66-9172-2d20d8528033', 156, '2026-03-02T05:11:28.079870+00:00', FALSE),
  ('7d1bbcaf-69eb-4acc-855d-3174d659a430', '188c23a6-4c3b-4c25-9b40-9ec8ad7712a3', '755c7aff-e538-4681-9b90-4b870a42ac72', 210, '2026-03-02T05:11:28.079923+00:00', FALSE),
  ('07fb83e9-5818-4991-aeba-54f65239954e', 'e83caccd-e81e-454a-bf92-9d9a5a509e25', '3de80488-e1b6-4908-a6ec-9c51f46f43b9', 291, '2026-03-02T05:11:28.079938+00:00', FALSE),
  ('a8a3e69b-392d-4d59-a016-183152eda94a', '64aeeb22-42db-46bf-85bd-b21b135c9803', '8a034e84-26b3-4198-8ec9-3749b1f60537', 261, '2026-03-02T05:11:28.079948+00:00', FALSE),
  ('dcdbd81b-9c64-42cb-9960-4f10b13675ac', '398de7e0-8f4f-44ba-adfe-503a157cfe7c', 'a50c967b-2e89-448d-be47-4df628c51572', 104, '2026-03-02T05:11:28.079958+00:00', FALSE),
  ('df5490e1-cb3f-4109-be18-2aa10a52d848', '491943d2-8aa3-4484-9d6d-afcab7ec579a', '7019b91a-d908-4c93-8ed2-d1c60e518630', 302, '2026-03-02T05:11:28.079967+00:00', FALSE),
  ('801607a9-a4f7-424d-b80f-915094a6f389', '3de80488-e1b6-4908-a6ec-9c51f46f43b9', '55a1207d-a029-48da-a79d-c1f3f6824a37', 129, '2026-03-02T05:11:28.079979+00:00', FALSE),
  ('80851b7f-a1b5-4eb5-a54e-2c3c55e9dd2a', 'a50c967b-2e89-448d-be47-4df628c51572', '710128e0-4e1d-479c-acbc-497bbc5bc802', 450, '2026-03-02T05:11:28.079999+00:00', FALSE),
  ('b1b728aa-177f-4b2f-a5ff-0267898ff6b1', '145cc805-810a-4320-864d-ba6b5c6fbc33', '78c129b6-21e5-40c6-b9cf-d25ad5193e68', 490, '2026-03-02T05:11:28.080011+00:00', FALSE),
  ('bc2e3265-7349-4ef4-a47d-9cd004d8baa4', 'a50c967b-2e89-448d-be47-4df628c51572', '5cf1a55e-7904-4937-a4bd-bf3d1fc1c839', 82, '2026-03-02T05:11:28.080021+00:00', FALSE),
  ('1b51395e-1dc0-4201-9596-34f3dbac4a14', 'eb113965-6ee6-459e-ba0f-fb6cb1d0ae34', '1e049026-1231-4763-bc50-82cb51950fa2', 175, '2026-03-02T05:11:28.080032+00:00', FALSE),
  ('cb319fb3-2707-4712-a042-b58a51d5407a', 'a2eaefc9-dbff-4704-b908-74518d687e17', '188c23a6-4c3b-4c25-9b40-9ec8ad7712a3', 20, '2026-03-02T05:11:28.080041+00:00', FALSE),
  ('5339f7f9-fd7e-4dc5-861b-98121e3fd696', '2eb95b36-c9c3-4720-849b-fc240c9434da', 'd9380e8d-8949-4849-af57-7a91a1a2b953', 339, '2026-03-02T05:11:28.080050+00:00', FALSE),
  ('ae4424b0-27d2-43d3-89d7-a1d8c49f5ee0', '37a1e15c-a38c-4763-a2bd-042741bce012', 'a50c967b-2e89-448d-be47-4df628c51572', 342, '2026-03-02T05:11:28.080059+00:00', FALSE),
  ('92c39e1d-45a3-41c9-9583-cfcaca15c4a3', '1a972a71-a530-407a-b3f7-1dd9b2532cec', 'a50c967b-2e89-448d-be47-4df628c51572', 484, '2026-03-02T05:11:28.080067+00:00', FALSE),
  ('a7cf23d8-b178-4a65-ba03-3ece7b259d51', 'dec825d6-91f4-4f8f-b44b-74cf6b4b78f6', '4736fc20-1c22-49c2-af87-c35802302507', 400, '2026-03-02T05:11:28.080076+00:00', FALSE),
  ('1a1981a8-b63a-4a73-9b8a-ff517286745d', 'ed20f879-2d42-4ba7-8df7-d696c4b6aafd', '8a034e84-26b3-4198-8ec9-3749b1f60537', 72, '2026-03-02T05:11:28.080087+00:00', FALSE),
  ('473dbb0e-652c-43b3-b571-f88c1af1e8c5', '7e9bbec4-e2aa-4d67-b1c0-35f7db1d0dae', '5cf1a55e-7904-4937-a4bd-bf3d1fc1c839', 146, '2026-03-02T05:11:28.080095+00:00', FALSE),
  ('26ebb626-b5a4-4a23-b411-9428219bc8ae', 'b5af580c-4998-4f68-b52f-5c5b6a9d0aab', '2eb95b36-c9c3-4720-849b-fc240c9434da', 261, '2026-03-02T05:11:28.080104+00:00', FALSE);

-- Table: AccountSignals
-- This is pushed by BigQuery through a continuous query if it is configured
INSERT INTO AccountSignals (SignalId, PlayerId, AlertType, EventTime) VALUES ('50b64a6a-2e8f-4a0b-9742-c7e180949e82', '4e9dfce6-555b-434a-81b6-237c61b9b530', 'SUSPICIOUS_MOVEMENT', '2026-03-02T05:11:28.078156+00:00');
INSERT INTO AccountSignals (SignalId, PlayerId, AlertType, EventTime) VALUES ('d2659e80-bce0-46b0-9570-6bb8b3c99d34', '686337b0-304e-4270-89c3-d015f9039294', 'SUSPICIOUS_MOVEMENT', '2026-03-02T05:11:28.078198+00:00');
INSERT INTO AccountSignals (SignalId, PlayerId, AlertType, EventTime) VALUES ('10504018-b7a4-47a4-89b2-950fa492bbd4', '1627bc18-c42e-4599-b5f1-6f3d52669edb', 'SUSPICIOUS_MOVEMENT', '2026-03-02T05:11:28.078244+00:00');
INSERT INTO AccountSignals (SignalId, PlayerId, AlertType, EventTime) VALUES ('ccbba78a-0f45-49b9-a58b-21777de250cf', '215b3d04-402a-4ac2-83ed-1edb9a421691', 'SUSPICIOUS_MOVEMENT', '2026-03-02T05:11:28.078293+00:00');
INSERT INTO AccountSignals (SignalId, PlayerId, AlertType, EventTime) VALUES ('affa841d-0f9a-4b0f-ad6d-eb3e180263fe', '78d66ff4-0519-4157-9d95-76c2900ba7f9', 'SUSPICIOUS_MOVEMENT', '2026-03-02T05:11:28.078337+00:00');
INSERT INTO AccountSignals (SignalId, PlayerId, AlertType, EventTime) VALUES ('1fbdd097-b431-4a21-9a5c-a1f53db6d754', '822a8aae-57bd-460e-9643-69815990bec8', 'SUSPICIOUS_MOVEMENT', '2026-03-02T05:11:28.078383+00:00');
INSERT INTO AccountSignals (SignalId, PlayerId, AlertType, EventTime) VALUES ('0fc87891-dd4b-494b-8c47-f6ccc2c592c7', '9f223b65-41a3-495e-940a-5a07d2ba4ba7', 'SUSPICIOUS_MOVEMENT', '2026-03-02T05:11:28.078420+00:00');
INSERT INTO AccountSignals (SignalId, PlayerId, AlertType, EventTime) VALUES ('cc117869-7a6b-4e66-89bf-e3148ac8c6ea', '3910b199-caf7-4822-8346-1ba9bd750c8e', 'SUSPICIOUS_MOVEMENT', '2026-03-02T05:11:28.078456+00:00');
INSERT INTO AccountSignals (SignalId, PlayerId, AlertType, EventTime) VALUES ('c85a78c6-3cc8-4262-8fd2-2fb9661a1b96', '78c129b6-21e5-40c6-b9cf-d25ad5193e68', 'SUSPICIOUS_MOVEMENT', '2026-03-02T05:11:28.078499+00:00');
INSERT INTO AccountSignals (SignalId, PlayerId, AlertType, EventTime) VALUES ('ccdb20f8-cd05-42ae-b942-cb41396ec27d', 'eba84e9d-bd10-466e-8fcd-899c0a868149', 'SUSPICIOUS_MOVEMENT', '2026-03-02T05:11:28.078537+00:00');
INSERT INTO AccountSignals (SignalId, PlayerId, AlertType, EventTime) VALUES ('721511f1-ebc4-45dc-adb5-9dafc5426bc3', '37a1e15c-a38c-4763-a2bd-042741bce012', 'SUSPICIOUS_MOVEMENT', '2026-03-02T05:11:28.078579+00:00');
INSERT INTO AccountSignals (SignalId, PlayerId, AlertType, EventTime) VALUES ('4d8b0f0d-211a-4537-8c79-c2fd815812f3', 'c5337857-3b58-4b0c-8814-4585dcbf765f', 'SUSPICIOUS_MOVEMENT', '2026-03-02T05:11:28.078627+00:00');

Proses ini mungkin memerlukan waktu beberapa menit. Anda akan dapat melihat pratinjau data setelah selesai.

4. Watchdog (Kueri Berkelanjutan BigQuery &Sinkronisasi Spanner)

Lini pertahanan pertama kita adalah streaming data telemetri ke BigQuery. Kita ingin memantau pergerakan yang mencurigakan (misalnya, jarak yang tidak mungkin) dan mengirimkan pemberitahuan kembali ke Spanner secara real-time.

Dalam skenario dunia nyata, Anda akan menggunakan kueri berkelanjutan BigQuery dan ETL terbalik untuk melakukan streaming data ini. Namun, hal ini memerlukan reservasi dengan edisi ENTERPRISE atau yang lebih tinggi.

Seperti inilah tampilan perintah jika reservasi tersedia. Anda tidak perlu menyalinnya ke konsol jika belum menyiapkan reservasi:

EXPORT DATA
  OPTIONS (
    uri = 'https://spanner.googleapis.com/projects/<YOUR_PROJECT_ID>/instances/game-instance/databases/game-db',
    format='CLOUD_SPANNER',
    spanner_options="""{ "table": "AccountSignals" }"""
  ) AS
SELECT
  GENERATE_UUID() as SignalId,
  PlayerId,
  'SUSPICIOUS_MOVEMENT' as AlertType,
  CURRENT_TIMESTAMP() as EventTime
FROM `game_analytics.GameplayTelemetry`
WHERE
  EventType = 'player_move'
  AND (LocationX > 1000 OR LocationY > 1000);

Untuk membuat kueri berkelanjutan, Anda akan mengklik More > Create continuous query di Ruang Kerja SQL Konsol BigQuery.

Kueri ini bertindak sebagai mesin ETL terbalik, yang memastikan sistem transaksional kita (Spanner) langsung mengetahui anomali yang terdeteksi dalam sistem analisis kita (BigQuery).

Untuk lab ini, kita secara artifisial menyisipkan beberapa transaksi ke Spanner.

5. Detektif Multimodal (Spanner Graph &Penelusuran Vektor)

Setelah Spanner memiliki sinyal "High Risk", Anda dapat menyelidiki jaringan penipuan. Kita akan menggunakan Spanner Graph untuk memvisualisasikan web keuangan dan menemukan dalangnya.

Jalankan kueri ini di Spanner Studio

Grafik: Menemukan Dalang

Kueri ini melacak web keuangan transaksi tempat korban mentransfer ke pencuri, yang kemudian mentransfer ke node bos. Kueri ini mengelompokkan berdasarkan bos dan menjumlahkan hasil curian.

Salin ke Spanner Studio dan klik Run.

GRAPH PlayerNetwork
MATCH (victim)-[:Transfers]->(thief)-[t:Transfers]->(boss)
RETURN
  boss.Name AS RingLeader, COUNT(t) AS TributesReceived,
  SUM(t.Amount) AS TotalLoot
GROUP BY RingLeader
ORDER BY TotalLoot DESC
LIMIT 5;

Anda akan melihat "Pixel" sebagai penerima upeti teratas.

Investigasi Multi-sinyal

Mari gabungkan hasil Grafik dengan sinyal perilaku real-time yang kita kirim dari BigQuery sebelumnya. Kita ingin menemukan pemain yang mengirim uang ke "Pixel" DAN telah ditandai karena pergerakan yang mencurigakan.

SELECT DISTINCT
  p.Name,
  s.AlertType as BQ_Signal,
  s.EventTime as SignalTime
FROM GRAPH_TABLE (
  PlayerNetwork
  MATCH (associate:Players)-[:Transfers]->(boss:Players)
  WHERE boss.Name = 'Pixel'
  RETURN DISTINCT associate.Name
) as g
JOIN Players p
  ON p.Name = g.Name
JOIN AccountSignals s
  ON p.PlayerId = s.PlayerId
ORDER BY s.EventTime DESC;

Penelusuran vektor: Mengidentifikasi Akun Bot

Apakah ini pemain sungguhan atau jaringan bot terkoordinasi? Gunakan penelusuran vektor untuk mengidentifikasi akun dengan deskripsi profil yang mencurigakan dan mirip dengan "Pixel".

SELECT
  Name, AvatarDescription,
  COSINE_DISTANCE(AvatarEmbedding, (SELECT AvatarEmbedding FROM Players WHERE Name = 'Pixel')) as Similarity
FROM Players
WHERE Name != 'Pixel'
ORDER BY Similarity ASC
LIMIT 5;

Skor kemiripan yang lebih rendah berarti akun tersebut lebih dekat dengan vektor "Pixel". Jika memiliki deskripsi yang serupa, kemungkinan besar akun tersebut adalah bot.

Kita juga dapat menerapkan fungsi skalar dalam klausa MATCH:

GRAPH PlayerNetwork
MATCH (associate:Players)-[:Transfers]->(boss:Players)
WHERE boss.Name = 'Pixel'
ORDER BY (
  COSINE_DISTANCE(associate.AvatarEmbedding, (SELECT AvatarEmbedding FROM Players WHERE Name = 'Pixel'))
) ASC
RETURN DISTINCT associate.Name

6. Mengungkap Plot (Grafik Properti BigQuery &Integrasi GCS)

Kita telah menangkap dalangnya, tetapi kita perlu memahami bagaimana mereka mengoordinasikan "pencurian tuna" besar-besaran ini. Kita akan melacak pola komunikasi di BigQuery menggunakan Grafik Properti BigQuery untuk mengkueri log chat game.

Jalankan kueri berikut di BigQuery Studio:

Grafik Properti BigQuery

Melacak komunikasi antara "Pixel" dan pemain lainnya:

GRAPH game_analytics.CatChatNetwork
MATCH (p1:Players)-[c:Communicates]->(p2:Players)
WHERE p1.Name = 'Pixel' OR p2.Name = 'Pixel'
RETURN
  p1.Name AS Sender,
  p2.Name AS Receiver,
  c.Message,
  -- Resolving structured metadata from ObjectRef
  p1.ProfilePictureUrl.uri AS SenderProfilePic
ORDER BY Message DESC;

Amati pesan seperti "Operation Fishbowl is a go" dan "Diverting funds to the central tuna reserve". Anda dapat melihat bagaimana Grafik Properti BigQuery memungkinkan Anda menganalisis komunikasi yang diperkaya dengan data tidak terstruktur (referensi Gambar GCS menggunakan ProfilePictureUrl.uri).

Jika Anda mendownload gambar atau mengikuti link GCS terautentikasi dalam hasil, Anda akan melihat gambar pemain:

Kueri analisis ini lebih lanjut membandingkan pola chat dan gambar antara anggota jaringan penipuan.

Sebelum dapat menjalankannya, deklarasikan model multimodal untuk membuat embedding gambar profil yang disimpan di bucket Cloud Storage. Model ini terhubung melalui koneksi yang dibuat dalam penyiapan awal, sehingga Anda juga akan memberikan izin pengguna Vertex AI kepada pengguna teknis yang dilampirkan untuk koneksi tersebut.

Ganti <> dengan ID project Anda.

GRANT `roles/aiplatform.user`
ON PROJECT `<<PROJECT_ID>>`
TO "connection:<<PROJECT_ID>>.us.unicorn-connection";

Anda kini dapat membuat koneksi.

CREATE OR REPLACE MODEL `game_analytics.multimodal_model`
  REMOTE WITH CONNECTION `us.unicorn-connection`
  OPTIONS (ENDPOINT = 'multimodalembedding@001');

Jika hal ini gagal karena error izin (yaitu, "The [e-mail] does not have the permission to access or use the endpoint..."), tunggu beberapa menit hingga izin diterapkan dan coba lagi.

Kueri di bawah menggunakan fungsi AI.GENERATE_EMBEDDING untuk menelusuri gambar di bucket penyimpanan dan membuat embedding. Embedding ini kemudian dibandingkan menggunakan COSINE_DISTANCE, sehingga kita mendapatkan pemahaman yang baik tentang seberapa mirip log chat dan gambar profil.

-- BigQuery Property Graph: Tracing communication patterns in chat logs
-- AND calculating distance between auto-embedded chat message and profile picture
-- BigQuery Property Graph: Tracing communication patterns
-- AND identifying similarity AMONG the fraudsters themselves
WITH GraphResults AS (
  SELECT *
  FROM GRAPH_TABLE(
  game_analytics.CatChatNetwork
   MATCH (p1:Players)-[c:Communicates]->(p2:Players)
   WHERE p1.Name = 'Pixel' OR p2.Name = 'Pixel'
   RETURN
    p1.Name AS Sender,
    c.Message,
    p1.ProfilePictureUrl.uri AS SenderProfilePic,
    c.MessageEmbedding.result AS MessageEmbedding
  )
),
UniquePics AS (
  SELECT DISTINCT SenderProfilePic AS uri FROM GraphResults
),
PicEmbeddings AS (
  SELECT embedding, uri
  FROM AI.GENERATE_EMBEDDING(
    MODEL game_analytics.multimodal_model,
    (
      SELECT OBJ.MAKE_REF(uri, 'us.unicorn-connection') as content, uri
      FROM UniquePics
    )
  )
),
CatData AS (
  -- Distinct list of players (excluding Pixel) with their embeddings and HTTPS Pic URLs
  SELECT DISTINCT
    g.Sender,
    g.MessageEmbedding,
    g.Message,
    p.embedding AS PicEmbedding,
    REPLACE( g.SenderProfilePic, 'gs://sample-data-and-media/spanner-bq-fraud-heist/profile_pics/', 'https://storage.mtls.cloud.google.com/sample-data-and-media/spanner-bq-fraud-heist/profile_pics/') AS SenderProfilePic
  FROM GraphResults g
  LEFT JOIN PicEmbeddings p ON g.SenderProfilePic = p.uri
  WHERE g.Sender != 'Pixel'
    AND g.MessageEmbedding IS NOT NULL
    AND p.embedding IS NOT NULL
)
SELECT
  c1.Sender AS Fraudster_A,
  c2.Sender AS Fraudster_B,
  c1.SenderProfilePic AS Pic_A,
  c2.SenderProfilePic AS Pic_B,
  c1.Message,
  -- Compare chat messages between Fraudster A and B
  COSINE_DISTANCE(c1.MessageEmbedding, c2.MessageEmbedding) AS MessageDistance,
  -- Compare profile pictures between Fraudster A and B
  COSINE_DISTANCE(c1.PicEmbedding, c2.PicEmbedding) AS PictureDistance
FROM CatData c1
CROSS JOIN CatData c2
WHERE c1.Sender < c2.Sender -- Avoid self-comparison and duplicate pairs (A-B and B-A)
  AND c1.SenderProfilePic <> c2.SenderProfilePic
ORDER BY PictureDistance ASC, MessageDistance ASC
LIMIT 10;

Jika membuka gambar profil, Anda akan melihat kemiripan dalam cara anggota klan menampilkan diri.

Memvisualisasikan jaringan penipuan

Anda dapat menggunakan notebook dan Python Cell Magic untuk memvisualisasikan jaringan penipuan. Hal ini memungkinkan kita memvisualisasikan hasil grafik dengan mudah. Untuk mengetahui informasi selengkapnya tentang hal ini, lihat dokumentasi visualisasi.

Di BigQuery Studio, klik More > Notebook > Empty Notebook.

🗒️ Jika menggunakan notebook untuk pertama kalinya, klik Enable API. Kemudian, Anda akan diminta untuk memilih region. Kita telah menggunakan US di lab ini, jadi Anda harus memilih region dalam multi-region US.

Tempelkan kode berikut ke dalam sel kode:

!pip install bigquery-magics==0.12.1

Gunakan tombol + Code untuk membuat sel baru dan tempelkan kode berikut:

%%bigquery --graph
GRAPH game_analytics.CatChatNetwork
MATCH p=(p1:Players)-[c:Communicates]-(p2:Players)
WHERE p1.Name = 'Pixel' OR p2.Name = 'Pixel'
RETURN TO_JSON(p) AS full_path

Klik Run all. Setelah sekitar satu menit, Anda akan melihat visualisasi grafik jaringan komunikasi.

7. Pembersihan

Agar tidak menimbulkan tagihan ke akun Google Cloud Anda untuk resource yang digunakan dalam codelab ini, hapus resource yang Anda buat.

Menghapus Instance Spanner

gcloud spanner instances delete game-instance

Menghapus Set Data BigQuery

bq rm -r -f -d game_analytics

Atau, Menghapus Project

Jika Anda membuat project baru untuk lab ini, Anda dapat menghapus seluruh project:

gcloud projects delete <YOUR_PROJECT_ID>

8. Selamat!

Selamat! Anda telah berhasil mem-build perisai pertahanan penipuan real-time menggunakan Spanner dan BigQuery.

Anda telah mempelajari cara:

• Menggunakan kueri berkelanjutan BigQuery untuk mengirimkan analisis real-time ke Spanner.
• Menggunakan Spanner Graph untuk melacak hubungan keuangan.
• Menggunakan penelusuran vektor Spanner untuk kueri kemiripan pada data tidak terstruktur.
• Menggunakan BigQuery Graph untuk melacak jaringan komunikasi.

Apa langkah selanjutnya?

• Pelajari dokumentasi Spanner Graph.
• Temukan contoh kode lainnya di repositori GitHub Spanner Graph.
• Pelajari BigQuery Graph lebih lanjut.
• Lihat kueri berkelanjutan BigQuery.