[faker] decouple stream state

airbyte-config/init/src/main/resources/seed/source_definitions.yaml

@@ -467,7 +467,7 @@
 - name: Sample Data (Faker)
   sourceDefinitionId: dfd88b22-b603-4c3d-aad7-3701784586b1
   dockerRepository: airbyte/source-faker
-  dockerImageTag: 1.0.0
+  dockerImageTag: 2.0.0
   documentationUrl: https://docs.airbyte.com/integrations/sources/faker
   sourceType: api
   releaseStage: alpha

airbyte-config/init/src/main/resources/seed/source_specs.yaml

@@ -3866,7 +3866,7 @@
     supportsNormalization: false
     supportsDBT: false
     supported_destination_sync_modes: []
-- dockerImage: "airbyte/source-faker:1.0.0"
+- dockerImage: "airbyte/source-faker:2.0.0"
   spec:
     documentationUrl: "https://docs.airbyte.com/integrations/sources/faker"
     connectionSpecification:
@@ -3907,8 +3907,17 @@
             \ before a state message is emitted?"
           type: "integer"
           minimum: 1
-          default: 100
+          default: 1000
           order: 3
+        parallelism:
+          title: "Parallelism"
+          description: "How many parallel workers should we use to generate fake data?\
+            \  Choose a value equal to the number of CPUs you will allocate to this\
+            \ source."
+          type: "integer"
+          minimum: 1
+          default: 4
+          order: 4
     supportsNormalization: false
     supportsDBT: false
     supported_destination_sync_modes: []

airbyte-integrations/connectors/source-faker/Dockerfile

@@ -34,5 +34,5 @@ COPY source_faker ./source_faker
 ENV AIRBYTE_ENTRYPOINT "python /airbyte/integration_code/main.py"
 ENTRYPOINT ["python", "/airbyte/integration_code/main.py"]
 
-LABEL io.airbyte.version=1.0.0
+LABEL io.airbyte.version=2.0.0
 LABEL io.airbyte.name=airbyte/source-faker

airbyte-integrations/connectors/source-faker/acceptance-test-config.yml

@@ -14,7 +14,7 @@ acceptance_tests:
     tests:
       - config_path: secrets/config.json
         backward_compatibility_tests_config:
-          disable_for_version: "0.2.1"
+          disable_for_version: "1.0.0" # We changed the cursor field of the Purchases stream in 2.0.0
   basic_read:
     tests:
       - config_path: secrets/config.json

airbyte-integrations/connectors/source-faker/csv_export/README.md

@@ -0,0 +1,76 @@
+# Python Source CSV Export
+
+This collection of tools is used to run the source and capture it's AirbyteMessages and convert them into CSV files. This is useful if you want to manually inspect this data or load it into a database manually.
+
+To be fast, we make use of parallel processing per-stream and only using command-line tools. This works by the main file (`main.sh`) running the source via python and tee-ing the output of RECORDS to sub-scripts which use `jq` to convert the records into CSV-delimited output, which we finally write to disk.
+
+As we read the connector config files, e.g. `--config secrets/config.json --state secrets/state.json --catalog integration_tests/configured_catalog.json`, you can manually step forward your sync if you need to read and store the input in chunks.
+
+## The road to 1TB of faker data
+
+There's commentary on this at https://github.com/airbytehq/airbyte/pull/20558, along with some cool SQL tricks.
+
+- 2 Billion faker users for 1TB: `10,000,000*(1024/5.02) = 2,039,840,637`
+- 200 Million faker users for 100GB: `10,000,000*(100/5.02) = 199,203,187`
+- 20 Million faker users for 10GB: `10,000,000*(10/5.02) = 19,920,318`
+
+But let's assume we don't have 1TB of local hard disk. So, we want to make 10 chunks of data, each around 100GB in size.
+
+**`config.json`**
+
+```json
+{
+  "count": 2039840637,
+  "seed": 0,
+  "records_per_sync": 203984064
+}
+```
+
+**`state.json`**
+
+At the end of every sync, increment the `id` in the users stream and the `user_id` in the purchases stream by `203984064`, the `records_per_sync` chunk size
+
+```json
+[
+  {
+    "type": "STREAM",
+    "stream": {
+      "stream_state": {
+        "id": 0
+      },
+      "stream_descriptor": {
+        "name": "users"
+      }
+    }
+  },
+  {
+    "type": "STREAM",
+    "stream": {
+      "stream_state": {
+        "id": 0,
+        "user_id": 0
+      },
+      "stream_descriptor": {
+        "name": "purchases"
+      }
+    }
+  },
+  {
+    "type": "STREAM",
+    "stream": {
+      "stream_state": {
+        "id": 0
+      },
+      "stream_descriptor": {
+        "name": "products"
+      }
+    }
+  }
+]
+```
+
+Finally, ensure that you've opted-into all the streams in `integration_tests/configured_catalog.json`
+
+## TODO
+
+- This is currently set up very manually, in that we build bash scripts for each stream and manually populate the header information. This information all already lives in the connector's catalog. We probably could build these bash files on-demand with a python script...

airbyte-integrations/connectors/source-faker/csv_export/main.sh

@@ -0,0 +1,9 @@
+#!/usr/bin/env bash
+
+cd "$(dirname "$0")"
+cd ".."
+
+mkdir -p /tmp/csv
+
+python main.py read --config secrets/config.json --catalog integration_tests/configured_catalog.json --state secrets/state.json \
+  | tee >(./csv_export/purchases.sh) >(./csv_export/products.sh) >(./csv_export/users.sh)

airbyte-integrations/connectors/source-faker/csv_export/products.sh

@@ -0,0 +1,13 @@
+#!/usr/bin/env bash
+
+cd "$(dirname "$0")"
+
+FILE="/tmp/csv/products.csv"
+
+rm -rf $FILE
+
+echo "make, model, price, created_at" >> $FILE
+
+jq -c 'select((.type | contains("RECORD")) and (.record.stream | contains("products"))) .record.data' \
+  | jq -r '[.make, .model, .price, .created_at] | @csv' \
+  >> $FILE

airbyte-integrations/connectors/source-faker/csv_export/purchases.sh

@@ -0,0 +1,13 @@
+#!/usr/bin/env bash
+
+cd "$(dirname "$0")"
+
+FILE="/tmp/csv/purchases.csv"
+
+rm -rf $FILE
+
+echo "id, product_id, user_id, added_to_cart_at, purchased_at, returned_at" >> $FILE
+
+jq -c 'select((.type | contains("RECORD")) and (.record.stream | contains("purchases"))) .record.data' \
+  | jq -r '[.id, .product_id, .user_id, .added_to_cart_at, .purchased_at, .returned_at] | @csv' \
+  >> $FILE

airbyte-integrations/connectors/source-faker/csv_export/users.sh

@@ -0,0 +1,13 @@
+#!/usr/bin/env bash
+
+cd "$(dirname "$0")"
+
+FILE="/tmp/csv/users.csv"
+
+rm -rf $FILE
+
+echo "id, created_at, updated_at, name, title, age, email, telephone, gender, language, academic_degree, nationality, occupation, height, blood_type, weight" >> $FILE
+
+jq -c 'select((.type | contains("RECORD")) and (.record.stream | contains("users"))) .record.data' \
+  | jq -r '[.id, .created_at, .updated_at, .name, .title, .age, .email, .telephone, .gender, .language, .academic_degree, .nationality, .occupation, .height, .blood_type, .weight] | @csv' \
+  >> $FILE