From abf9b49a2ad22fcbf3f4d1be5f2636285f744f4c Mon Sep 17 00:00:00 2001
From: evantahler <evan@airbyte.io>
Date: Tue, 20 Dec 2022 15:50:30 -0800
Subject: [PATCH 01/13] Faker is 250% faster

---
 .../sources/utils/record_helper.py            |   4 +-
 .../source-faker/source_faker/source.py       |   8 +-
 .../source-faker/source_faker/streams.py      | 185 +++++++++++-------
 .../source-faker/unit_tests/unit_test.py      |  24 +--
 4 files changed, 135 insertions(+), 86 deletions(-)

diff --git a/airbyte-cdk/python/airbyte_cdk/sources/utils/record_helper.py b/airbyte-cdk/python/airbyte_cdk/sources/utils/record_helper.py
index 482596230f04..71693ca73a13 100644
--- a/airbyte-cdk/python/airbyte_cdk/sources/utils/record_helper.py
+++ b/airbyte-cdk/python/airbyte_cdk/sources/utils/record_helper.py
@@ -20,7 +20,9 @@ def stream_data_to_airbyte_message(
     if schema is None:
         schema = {}
 
-    if isinstance(data_or_message, dict):
+    if isinstance(data_or_message, AirbyteMessage):
+        return data_or_message
+    elif isinstance(data_or_message, dict):
         data = data_or_message
         now_millis = int(datetime.datetime.now().timestamp() * 1000)
         # Transform object fields according to config. Most likely you will
diff --git a/airbyte-integrations/connectors/source-faker/source_faker/source.py b/airbyte-integrations/connectors/source-faker/source_faker/source.py
index 25a35776e34e..a8b877951861 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/source.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/source.py
@@ -19,14 +19,14 @@ def check_connection(self, logger: AirbyteLogger, config: Mapping[str, Any]) ->
             return False, "Count option is missing"
 
     def streams(self, config: Mapping[str, Any]) -> List[Stream]:
-
         count: int = config["count"] if "count" in config else 0
         seed: int = config["seed"] if "seed" in config else None
         records_per_sync: int = config["records_per_sync"] if "records_per_sync" in config else 500
         records_per_slice: int = config["records_per_slice"] if "records_per_slice" in config else 100
+        threads: int = config["threads"] if "threads" in config else 4
 
         return [
-            Products(count, seed, records_per_sync, records_per_slice),
-            Users(count, seed, records_per_sync, records_per_slice),
-            Purchases(count, seed, records_per_sync, records_per_slice),
+            Products(count, seed, threads, records_per_sync, records_per_slice),
+            Users(count, seed, threads, records_per_sync, records_per_slice),
+            Purchases(count, seed, threads, records_per_sync, records_per_slice),
         ]
diff --git a/airbyte-integrations/connectors/source-faker/source_faker/streams.py b/airbyte-integrations/connectors/source-faker/source_faker/streams.py
index eab4969305f5..187f50c35b91 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/streams.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/streams.py
@@ -4,21 +4,38 @@
 
 import datetime
 import os
-from typing import Any, Dict, Iterable, Mapping, Optional
 
-from airbyte_cdk.models import AirbyteEstimateTraceMessage, AirbyteTraceMessage, EstimateType, TraceType
+from multiprocessing import Pool, current_process
+# from multiprocessing.pool import ThreadPool
+
+from typing import Any, Dict, Iterable, Mapping, Optional, List
+
+from airbyte_cdk.models import AirbyteMessage, AirbyteEstimateTraceMessage, Type,  AirbyteTraceMessage, AirbyteRecordMessage, EstimateType, TraceType
 from airbyte_cdk.sources.streams import IncrementalMixin, Stream
 from mimesis import Datetime, Numeric, Person
 from mimesis.locales import Locale
 
 from .utils import format_airbyte_time, read_json
 
+class FakerMultithreaded:
+    def worker_init(self):
+        """For the workers, we want a unique instance of the faker packages with their own seeds to differentiate the generated responses"""
+        global person
+        global dt
+        global numeric
+        seed_with_offset = self.seed
+        if self.seed != None:
+            seed_with_offset = self.seed + current_process()._identity[0]
+        person = Person(locale=Locale.EN, seed=seed_with_offset)
+        dt = Datetime(seed=seed_with_offset)
+        numeric = Numeric(seed=seed_with_offset)
+
 
 class Products(Stream, IncrementalMixin):
     primary_key = None
     cursor_field = "id"
 
-    def __init__(self, count: int, seed: int, records_per_sync: int, records_per_slice: int, **kwargs):
+    def __init__(self, count: int, seed: int, threads:int, records_per_sync: int, records_per_slice: int, **kwargs):
         super().__init__(**kwargs)
         self.seed = seed
         self.records_per_sync = records_per_sync
@@ -60,18 +77,17 @@ def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
         self.state = {self.cursor_field: total_records, "seed": self.seed}
 
 
-class Users(Stream, IncrementalMixin):
+class Users(Stream, IncrementalMixin, FakerMultithreaded):
     primary_key = None
     cursor_field = "id"
 
-    def __init__(self, count: int, seed: int, records_per_sync: int, records_per_slice: int, **kwargs):
+    def __init__(self, count: int, seed: int, threads:int, records_per_sync: int, records_per_slice: int, **kwargs):
         super().__init__(**kwargs)
         self.count = count
         self.seed = seed
         self.records_per_sync = records_per_sync
         self.records_per_slice = records_per_slice
-        self.person = Person(locale=Locale.EN, seed=self.seed)
-        self.dt = Datetime(seed=self.seed)
+        self.threads = threads
 
     @property
     def state_checkpoint_interval(self) -> Optional[int]:
@@ -89,66 +105,68 @@ def state(self, value: Mapping[str, Any]):
         self._state = value
 
     def generate_user(self, user_id: int):
-        time_a = self.dt.datetime()
-        time_b = self.dt.datetime()
+        time_a = dt.datetime()
+        time_b = dt.datetime()
 
         profile = {
             "id": user_id + 1,
             "created_at": format_airbyte_time(time_a if time_a <= time_b else time_b),
             "updated_at": format_airbyte_time(time_a if time_a > time_b else time_b),
-            "name": self.person.name(),
-            "title": self.person.title(),
-            "age": self.person.age(),
-            "email": self.person.email(),
-            "telephone": self.person.telephone(),
-            "gender": self.person.gender(),
-            "language": self.person.language(),
-            "academic_degree": self.person.academic_degree(),
-            "nationality": self.person.nationality(),
-            "occupation": self.person.occupation(),
-            "height": self.person.height(),
-            "blood_type": self.person.blood_type(),
-            "weight": self.person.weight(),
+            "name": person.name(),
+            "title": person.title(),
+            "age": person.age(),
+            "email": person.email(),
+            "telephone": person.telephone(),
+            "gender": person.gender(),
+            "language": person.language(),
+            "academic_degree": person.academic_degree(),
+            "nationality": person.nationality(),
+            "occupation": person.occupation(),
+            "height": person.height(),
+            "blood_type": person.blood_type(),
+            "weight": person.weight(),
         }
 
         while not profile["created_at"]:
-            profile["created_at"] = format_airbyte_time(self.dt.datetime())
+            profile["created_at"] = format_airbyte_time(dt.datetime())
 
         if not profile["updated_at"]:
             profile["updated_at"] = profile["created_at"] + 1
 
-        return profile
+        record = AirbyteRecordMessage(stream=self.name, data=profile, emitted_at=now_millis())
+        return AirbyteMessageWithCachedJSON(type=Type.RECORD, record=record)
 
     def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
         total_records = self.state[self.cursor_field] if self.cursor_field in self.state else 0
         records_in_sync = 0
-        records_in_slice = 0
 
         median_record_byte_size = 450
         yield generate_estimate(self.name, self.count - total_records, median_record_byte_size)
 
-        for i in range(total_records, self.count):
-            user = self.generate_user(i)
-            yield user
-            total_records += 1
-            records_in_sync += 1
-            records_in_slice += 1
+        running = True
+        with Pool(initializer=self.worker_init, processes=self.threads) as pool:
+            while running and records_in_sync < self.count:
+                records_remaining_this_loop = min(self.records_per_slice, (self.count - total_records))
+                if records_remaining_this_loop == 0:
+                    break
+                users = pool.map(self.generate_user, range(total_records, total_records + records_remaining_this_loop))
+                for user in users:
+                    total_records += 1
+                    records_in_sync += 1
+                    yield user
+
+                    if records_in_sync == self.records_per_sync:
+                        running = False
+                        break
 
-            if records_in_slice >= self.records_per_slice:
                 self.state = {self.cursor_field: total_records, "seed": self.seed}
-                records_in_slice = 0
 
-            if records_in_sync == self.records_per_sync:
-                break
 
-        self.state = {self.cursor_field: total_records, "seed": self.seed}
-
-
-class Purchases(Stream, IncrementalMixin):
+class Purchases(Stream, IncrementalMixin, FakerMultithreaded):
     primary_key = None
     cursor_field = "id"
 
-    def __init__(self, count: int, seed: int, records_per_sync: int, records_per_slice: int, **kwargs):
+    def __init__(self, count: int, seed: int, threads:int, records_per_sync: int, records_per_slice: int, **kwargs):
         super().__init__(**kwargs)
         self.count = count
         self.seed = seed
@@ -156,6 +174,7 @@ def __init__(self, count: int, seed: int, records_per_sync: int, records_per_sli
         self.records_per_slice = records_per_slice
         self.dt = Datetime(seed=self.seed)
         self.numeric = Numeric(seed=self.seed)
+        self.threads = threads
 
     @property
     def state_checkpoint_interval(self) -> Optional[int]:
@@ -183,72 +202,100 @@ def random_date_in_range(
         random_date = start_date + datetime.timedelta(days=random_number_of_days)
         return random_date
 
-    def generate_purchases(self, user_id: int, purchases_count: int) -> list[Dict]:
+    def generate_purchases(self, user_id: int) -> list[Dict]:
+        """Because we are doing this work in parallel processes, we need a deterministic way to know what a purchase's ID should be given on the input of a user_id"""
+        """tldr; Every 10 user_ids produce 10 purchases.  User ID x5 has no purchases, User ID mod x7 has 2, and everyone else has 1"""
+
         purchases: list[Dict] = []
-        purchase_percent_remaining = 70  # ~30% of people will have no purchases
+        last_user_id_digit = int(repr(user_id)[-1])
+        purchase_count = 1
+        id_offset = 0
+        if last_user_id_digit - 1 == 5:
+            purchase_count = 0
+        elif last_user_id_digit - 1 == 6:
+            id_offset = 1
+        elif last_user_id_digit - 1 == 7:
+            id_offset = 1
+            purchase_count = 2
+
         total_products = 100
-        purchase_percent_remaining = purchase_percent_remaining - self.numeric.integer_number(1, 100)
         i = 0
 
-        time_a = self.dt.datetime()
-        time_b = self.dt.datetime()
-        created_at = time_a if time_a <= time_b else time_b
-
-        while purchase_percent_remaining > 0:
-            id = purchases_count + i + 1
-            product_id = self.numeric.integer_number(1, total_products)
+        while purchase_count > 0:
+            id = user_id + i + 1 - id_offset
+            time_a = dt.datetime()
+            time_b = dt.datetime()
+            created_at = time_a if time_a <= time_b else time_b
+            product_id = numeric.integer_number(1, total_products)
             added_to_cart_at = self.random_date_in_range(created_at)
             purchased_at = (
                 self.random_date_in_range(added_to_cart_at)
-                if added_to_cart_at is not None and self.numeric.integer_number(1, 100) <= 70
+                if added_to_cart_at is not None and numeric.integer_number(1, 100) <= 70
                 else None
             )  # 70% likely to purchase the item in the cart
             returned_at = (
-                self.random_date_in_range(purchased_at) if purchased_at is not None and self.numeric.integer_number(1, 100) <= 15 else None
+                self.random_date_in_range(purchased_at) if purchased_at is not None and numeric.integer_number(1, 100) <= 15 else None
             )  # 15% likely to return the item
 
             purchase = {
                 "id": id,
                 "product_id": product_id,
-                "user_id": user_id,
+                "user_id": user_id + 1,
                 "added_to_cart_at": format_airbyte_time(added_to_cart_at) if added_to_cart_at is not None else None,
                 "purchased_at": format_airbyte_time(purchased_at) if purchased_at is not None else None,
                 "returned_at": format_airbyte_time(returned_at) if returned_at is not None else None,
             }
-            purchases.append(purchase)
 
-            purchase_percent_remaining = purchase_percent_remaining - self.numeric.integer_number(1, 100)
+            record = AirbyteRecordMessage(stream=self.name, data=purchase, emitted_at=now_millis())
+            message = AirbyteMessageWithCachedJSON(type=Type.RECORD, record=record)
+            purchases.append(message)
+
+            purchase_count = purchase_count - 1
             i += 1
+
         return purchases
 
     def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
         total_purchase_records = self.state[self.cursor_field] if self.cursor_field in self.state else 0
         total_user_records = self.state["user_id"] if "user_id" in self.state else 0
         user_records_in_sync = 0
-        user_records_in_slice = 0
 
         median_record_byte_size = 230
         yield generate_estimate(
             self.name, (self.count - total_user_records) * 1.3, median_record_byte_size
         )  # a fuzzy guess, some users have purchases, some don't
 
-        for i in range(total_user_records, self.count):
-            purchases = self.generate_purchases(i + 1, total_purchase_records)
-            for purchase in purchases:
-                total_purchase_records += 1
-                yield purchase
-            total_user_records += 1
-            user_records_in_sync += 1
-            user_records_in_slice += 1
+        running = True
+        with Pool(initializer=self.worker_init, processes=self.threads) as pool:
+            while running and total_user_records < self.count:
+                records_remaining_this_loop = min(self.records_per_slice, (self.count - user_records_in_sync))
+                if records_remaining_this_loop == 0:
+                    break
+                carts = pool.map(self.generate_purchases, range(total_user_records, total_user_records + records_remaining_this_loop))
+                for purchases in carts:
+                    for purchase in purchases:
+                        yield purchase
+
+                    total_user_records += 1
+                    user_records_in_sync += 1
+
+                    if user_records_in_sync == self.records_per_sync:
+                        running = False
+                        break
 
-            if user_records_in_slice >= self.records_per_slice:
                 self.state = {self.cursor_field: total_purchase_records, "user_id": total_user_records, "seed": self.seed}
-                user_records_in_slice = 0
 
-            if user_records_in_sync == self.records_per_sync:
-                break
+def now_millis():
+    return int(datetime.datetime.now().timestamp() * 1000)
+
+class AirbyteMessageWithCachedJSON(AirbyteMessage):
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self._json = self.json(exclude_unset=True)
+        self.json = self.get_json
 
-        self.state = {self.cursor_field: total_purchase_records, "user_id": total_user_records, "seed": self.seed}
+    def get_json(self, **kwargs):
+        return self._json
 
 
 def generate_estimate(stream_name: str, total: int, bytes_per_row: int):
diff --git a/airbyte-integrations/connectors/source-faker/unit_tests/unit_test.py b/airbyte-integrations/connectors/source-faker/unit_tests/unit_test.py
index 8a989b7778ac..34b391dfae79 100644
--- a/airbyte-integrations/connectors/source-faker/unit_tests/unit_test.py
+++ b/airbyte-integrations/connectors/source-faker/unit_tests/unit_test.py
@@ -25,7 +25,7 @@ def exception(a,b,**kwargs):
 
 def schemas_are_valid():
     source = SourceFaker()
-    config = {"count": 1}
+    config = {"count": 1, "threads": 1}
     catalog = source.discover(None, config)
     catalog = AirbyteMessage(type=Type.CATALOG, catalog=catalog).dict(exclude_unset=True)
     schemas = [stream["json_schema"] for stream in catalog["catalog"]["streams"]]
@@ -36,7 +36,7 @@ def schemas_are_valid():
 
 def test_source_streams():
     source = SourceFaker()
-    config = {"count": 1}
+    config = {"count": 1, "threads": 1}
     catalog = source.discover(None, config)
     catalog = AirbyteMessage(type=Type.CATALOG, catalog=catalog).dict(exclude_unset=True)
     schemas = [stream["json_schema"] for stream in catalog["catalog"]["streams"]]
@@ -64,7 +64,7 @@ def test_source_streams():
 
 def test_read_small_random_data():
     source = SourceFaker()
-    config = {"count": 10}
+    config = {"count": 10, "threads": 1}
     catalog = ConfiguredAirbyteCatalog(
         streams=[
             {
@@ -98,7 +98,7 @@ def test_read_small_random_data():
 
 def test_no_read_limit_hit():
     source = SourceFaker()
-    config = {"count": 10}
+    config = {"count": 10, "threads": 1}
     catalog = ConfiguredAirbyteCatalog(
         streams=[
             {
@@ -123,12 +123,12 @@ def test_no_read_limit_hit():
 
     assert record_rows_count == 0
     assert state_rows_count == 1
-    assert latest_state.state.data == {"users": {"id": 10, "seed": None}}
+    assert latest_state.state.data == {"users": {"id": 10}}
 
 
 def test_read_big_random_data():
     source = SourceFaker()
-    config = {"count": 1000, "records_per_slice": 100, "records_per_sync": 1000}
+    config = {"count": 1000, "records_per_slice": 100, "records_per_sync": 1000, "threads": 1}
     catalog = ConfiguredAirbyteCatalog(
         streams=[
             {
@@ -163,7 +163,7 @@ def test_read_big_random_data():
 
 def test_with_purchases():
     source = SourceFaker()
-    config = {"count": 1000, "records_per_sync": 1000}
+    config = {"count": 1000, "records_per_sync": 1000, "threads": 1}
     catalog = ConfiguredAirbyteCatalog(
         streams=[
             {
@@ -205,7 +205,7 @@ def test_with_purchases():
 
 def test_sync_ends_with_limit():
     source = SourceFaker()
-    config = {"count": 100, "records_per_sync": 5}
+    config = {"count": 100, "records_per_sync": 5, "threads": 1}
     catalog = ConfiguredAirbyteCatalog(
         streams=[
             {
@@ -239,7 +239,7 @@ def test_read_with_seed():
     """
 
     source = SourceFaker()
-    config = {"count": 1, "seed": 100}
+    config = {"count": 1, "seed": 100, "threads": 1}
     catalog = ConfiguredAirbyteCatalog(
         streams=[
             {
@@ -253,14 +253,14 @@ def test_read_with_seed():
     iterator = source.read(logger, config, catalog, state)
 
     records = [row for row in iterator if row.type is Type.RECORD]
-    assert records[0].record.data["occupation"] == "Roadworker"
-    assert records[0].record.data["email"] == "reproduce1856@outlook.com"
+    assert records[0].record.data["occupation"] == "Illustrator"
+    assert records[0].record.data["email"] == "upcoming1928@protonmail.com"
 
 
 def test_ensure_no_purchases_without_users():
     with pytest.raises(ValueError):
         source = SourceFaker()
-        config = {"count": 100}
+        config = {"count": 100, "threads": 1}
         catalog = ConfiguredAirbyteCatalog(
             streams=[
                 {"stream": {"name": "purchases", "json_schema": {}}, "sync_mode": "incremental", "destination_sync_mode": "overwrite"},

From 77de03f1a6bded0de38316a2bd5ecdc22fbf58b4 Mon Sep 17 00:00:00 2001
From: evantahler <evan@airbyte.io>
Date: Tue, 20 Dec 2022 16:12:30 -0800
Subject: [PATCH 02/13] threads in spec + lint

---
 .../source-faker/source_faker/spec.json       |  8 ++++++
 .../source-faker/source_faker/streams.py      | 28 ++++++++++++-------
 2 files changed, 26 insertions(+), 10 deletions(-)

diff --git a/airbyte-integrations/connectors/source-faker/source_faker/spec.json b/airbyte-integrations/connectors/source-faker/source_faker/spec.json
index 1018a957f109..c9fc7c8267d0 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/spec.json
+++ b/airbyte-integrations/connectors/source-faker/source_faker/spec.json
@@ -37,6 +37,14 @@
         "minimum": 1,
         "default": 100,
         "order": 3
+      },
+      "threads": {
+        "title": "Worker Threads",
+        "description": "How many parallel worker threads should be used to generate records?",
+        "type": "integer",
+        "minimum": 1,
+        "default": 4,
+        "order": 4
       }
     }
   }
diff --git a/airbyte-integrations/connectors/source-faker/source_faker/streams.py b/airbyte-integrations/connectors/source-faker/source_faker/streams.py
index 187f50c35b91..739180a44a51 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/streams.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/streams.py
@@ -4,19 +4,25 @@
 
 import datetime
 import os
-
 from multiprocessing import Pool, current_process
-# from multiprocessing.pool import ThreadPool
-
-from typing import Any, Dict, Iterable, Mapping, Optional, List
-
-from airbyte_cdk.models import AirbyteMessage, AirbyteEstimateTraceMessage, Type,  AirbyteTraceMessage, AirbyteRecordMessage, EstimateType, TraceType
+from typing import Any, Dict, Iterable, Mapping, Optional
+
+from airbyte_cdk.models import (
+    AirbyteEstimateTraceMessage,
+    AirbyteMessage,
+    AirbyteRecordMessage,
+    AirbyteTraceMessage,
+    EstimateType,
+    TraceType,
+    Type,
+)
 from airbyte_cdk.sources.streams import IncrementalMixin, Stream
 from mimesis import Datetime, Numeric, Person
 from mimesis.locales import Locale
 
 from .utils import format_airbyte_time, read_json
 
+
 class FakerMultithreaded:
     def worker_init(self):
         """For the workers, we want a unique instance of the faker packages with their own seeds to differentiate the generated responses"""
@@ -24,7 +30,7 @@ def worker_init(self):
         global dt
         global numeric
         seed_with_offset = self.seed
-        if self.seed != None:
+        if self.seed is not None:
             seed_with_offset = self.seed + current_process()._identity[0]
         person = Person(locale=Locale.EN, seed=seed_with_offset)
         dt = Datetime(seed=seed_with_offset)
@@ -35,7 +41,7 @@ class Products(Stream, IncrementalMixin):
     primary_key = None
     cursor_field = "id"
 
-    def __init__(self, count: int, seed: int, threads:int, records_per_sync: int, records_per_slice: int, **kwargs):
+    def __init__(self, count: int, seed: int, threads: int, records_per_sync: int, records_per_slice: int, **kwargs):
         super().__init__(**kwargs)
         self.seed = seed
         self.records_per_sync = records_per_sync
@@ -81,7 +87,7 @@ class Users(Stream, IncrementalMixin, FakerMultithreaded):
     primary_key = None
     cursor_field = "id"
 
-    def __init__(self, count: int, seed: int, threads:int, records_per_sync: int, records_per_slice: int, **kwargs):
+    def __init__(self, count: int, seed: int, threads: int, records_per_sync: int, records_per_slice: int, **kwargs):
         super().__init__(**kwargs)
         self.count = count
         self.seed = seed
@@ -166,7 +172,7 @@ class Purchases(Stream, IncrementalMixin, FakerMultithreaded):
     primary_key = None
     cursor_field = "id"
 
-    def __init__(self, count: int, seed: int, threads:int, records_per_sync: int, records_per_slice: int, **kwargs):
+    def __init__(self, count: int, seed: int, threads: int, records_per_sync: int, records_per_slice: int, **kwargs):
         super().__init__(**kwargs)
         self.count = count
         self.seed = seed
@@ -285,9 +291,11 @@ def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
 
                 self.state = {self.cursor_field: total_purchase_records, "user_id": total_user_records, "seed": self.seed}
 
+
 def now_millis():
     return int(datetime.datetime.now().timestamp() * 1000)
 
+
 class AirbyteMessageWithCachedJSON(AirbyteMessage):
     def __init__(self, **kwargs):
         super().__init__(**kwargs)

From e1200afa962c8cf5f4d1af568d250c3e3ce67a4c Mon Sep 17 00:00:00 2001
From: evantahler <evan@airbyte.io>
Date: Tue, 20 Dec 2022 16:28:56 -0800
Subject: [PATCH 03/13] pass tests

---
 .../connectors/source-faker/source_faker/streams.py   | 11 +++++++++--
 .../connectors/source-faker/unit_tests/unit_test.py   |  2 +-
 2 files changed, 10 insertions(+), 3 deletions(-)

diff --git a/airbyte-integrations/connectors/source-faker/source_faker/streams.py b/airbyte-integrations/connectors/source-faker/source_faker/streams.py
index 739180a44a51..21ecc31ff488 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/streams.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/streams.py
@@ -153,7 +153,8 @@ def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
         with Pool(initializer=self.worker_init, processes=self.threads) as pool:
             while running and records_in_sync < self.count:
                 records_remaining_this_loop = min(self.records_per_slice, (self.count - total_records))
-                if records_remaining_this_loop == 0:
+                if records_remaining_this_loop <= 0:
+                    running = False
                     break
                 users = pool.map(self.generate_user, range(total_records, total_records + records_remaining_this_loop))
                 for user in users:
@@ -167,6 +168,8 @@ def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
 
                 self.state = {self.cursor_field: total_records, "seed": self.seed}
 
+        self.state = {self.cursor_field: total_records, "seed": self.seed}
+
 
 class Purchases(Stream, IncrementalMixin, FakerMultithreaded):
     primary_key = None
@@ -275,11 +278,13 @@ def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
         with Pool(initializer=self.worker_init, processes=self.threads) as pool:
             while running and total_user_records < self.count:
                 records_remaining_this_loop = min(self.records_per_slice, (self.count - user_records_in_sync))
-                if records_remaining_this_loop == 0:
+                if records_remaining_this_loop <= 0:
+                    running = False
                     break
                 carts = pool.map(self.generate_purchases, range(total_user_records, total_user_records + records_remaining_this_loop))
                 for purchases in carts:
                     for purchase in purchases:
+                        total_purchase_records += 1
                         yield purchase
 
                     total_user_records += 1
@@ -291,6 +296,8 @@ def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
 
                 self.state = {self.cursor_field: total_purchase_records, "user_id": total_user_records, "seed": self.seed}
 
+        self.state = {self.cursor_field: total_purchase_records, "user_id": total_user_records, "seed": self.seed}
+
 
 def now_millis():
     return int(datetime.datetime.now().timestamp() * 1000)
diff --git a/airbyte-integrations/connectors/source-faker/unit_tests/unit_test.py b/airbyte-integrations/connectors/source-faker/unit_tests/unit_test.py
index 34b391dfae79..2a21bd69530a 100644
--- a/airbyte-integrations/connectors/source-faker/unit_tests/unit_test.py
+++ b/airbyte-integrations/connectors/source-faker/unit_tests/unit_test.py
@@ -123,7 +123,7 @@ def test_no_read_limit_hit():
 
     assert record_rows_count == 0
     assert state_rows_count == 1
-    assert latest_state.state.data == {"users": {"id": 10}}
+    assert latest_state.state.data == {"users": {"id": 10, "seed": None}}
 
 
 def test_read_big_random_data():

From 1660099fa0015a509a7d6c01eeec18d5a94f2264 Mon Sep 17 00:00:00 2001
From: evantahler <evan@airbyte.io>
Date: Wed, 21 Dec 2022 15:03:23 -0800
Subject: [PATCH 04/13] revert changes to record helper

---
 airbyte-cdk/python/airbyte_cdk/sources/utils/record_helper.py | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/airbyte-cdk/python/airbyte_cdk/sources/utils/record_helper.py b/airbyte-cdk/python/airbyte_cdk/sources/utils/record_helper.py
index 71693ca73a13..482596230f04 100644
--- a/airbyte-cdk/python/airbyte_cdk/sources/utils/record_helper.py
+++ b/airbyte-cdk/python/airbyte_cdk/sources/utils/record_helper.py
@@ -20,9 +20,7 @@ def stream_data_to_airbyte_message(
     if schema is None:
         schema = {}
 
-    if isinstance(data_or_message, AirbyteMessage):
-        return data_or_message
-    elif isinstance(data_or_message, dict):
+    if isinstance(data_or_message, dict):
         data = data_or_message
         now_millis = int(datetime.datetime.now().timestamp() * 1000)
         # Transform object fields according to config. Most likely you will

From 104d7dd1c33174cf7290948a3c8907d655b3bc97 Mon Sep 17 00:00:00 2001
From: evantahler <evan@airbyte.io>
Date: Wed, 21 Dec 2022 15:14:53 -0800
Subject: [PATCH 05/13] cleanup

---
 .../airbyte_message_with_cached_json.py       | 17 +++++++++
 .../source-faker/source_faker/streams.py      | 35 ++-----------------
 .../source-faker/source_faker/utils.py        | 14 ++++++++
 3 files changed, 34 insertions(+), 32 deletions(-)
 create mode 100644 airbyte-integrations/connectors/source-faker/source_faker/airbyte_message_with_cached_json.py

diff --git a/airbyte-integrations/connectors/source-faker/source_faker/airbyte_message_with_cached_json.py b/airbyte-integrations/connectors/source-faker/source_faker/airbyte_message_with_cached_json.py
new file mode 100644
index 000000000000..5567599f14de
--- /dev/null
+++ b/airbyte-integrations/connectors/source-faker/source_faker/airbyte_message_with_cached_json.py
@@ -0,0 +1,17 @@
+#
+# Copyright (c) 2022 Airbyte, Inc., all rights reserved.
+#
+
+from airbyte_cdk.models import AirbyteMessage
+
+
+class AirbyteMessageWithCachedJSON(AirbyteMessage):
+    """I a monkeypatch to AirbyteMessage which pre-renders the JSON-representation of the object upon initialization.  This allows the JSON to be calculated in the thread/process that builds the object rather than the main thread."""
+
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self._json = self.json(exclude_unset=True)
+        self.json = self.get_json
+
+    def get_json(self, **kwargs):
+        return self._json
diff --git a/airbyte-integrations/connectors/source-faker/source_faker/streams.py b/airbyte-integrations/connectors/source-faker/source_faker/streams.py
index 21ecc31ff488..960c80f9c02b 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/streams.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/streams.py
@@ -7,20 +7,13 @@
 from multiprocessing import Pool, current_process
 from typing import Any, Dict, Iterable, Mapping, Optional
 
-from airbyte_cdk.models import (
-    AirbyteEstimateTraceMessage,
-    AirbyteMessage,
-    AirbyteRecordMessage,
-    AirbyteTraceMessage,
-    EstimateType,
-    TraceType,
-    Type,
-)
+from airbyte_cdk.models import AirbyteRecordMessage, Type
 from airbyte_cdk.sources.streams import IncrementalMixin, Stream
 from mimesis import Datetime, Numeric, Person
 from mimesis.locales import Locale
 
-from .utils import format_airbyte_time, read_json
+from .airbyte_message_with_cached_json import AirbyteMessageWithCachedJSON
+from .utils import format_airbyte_time, generate_estimate, now_millis, read_json
 
 
 class FakerMultithreaded:
@@ -297,25 +290,3 @@ def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
                 self.state = {self.cursor_field: total_purchase_records, "user_id": total_user_records, "seed": self.seed}
 
         self.state = {self.cursor_field: total_purchase_records, "user_id": total_user_records, "seed": self.seed}
-
-
-def now_millis():
-    return int(datetime.datetime.now().timestamp() * 1000)
-
-
-class AirbyteMessageWithCachedJSON(AirbyteMessage):
-    def __init__(self, **kwargs):
-        super().__init__(**kwargs)
-        self._json = self.json(exclude_unset=True)
-        self.json = self.get_json
-
-    def get_json(self, **kwargs):
-        return self._json
-
-
-def generate_estimate(stream_name: str, total: int, bytes_per_row: int):
-    emitted_at = int(datetime.datetime.now().timestamp() * 1000)
-    estimate_message = AirbyteEstimateTraceMessage(
-        type=EstimateType.STREAM, name=stream_name, row_estimate=round(total), byte_estimate=round(total * bytes_per_row)
-    )
-    return AirbyteTraceMessage(type=TraceType.ESTIMATE, emitted_at=emitted_at, estimate=estimate_message)
diff --git a/airbyte-integrations/connectors/source-faker/source_faker/utils.py b/airbyte-integrations/connectors/source-faker/source_faker/utils.py
index 12970853c956..9c094b11bcb7 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/utils.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/utils.py
@@ -5,6 +5,8 @@
 import datetime
 import json
 
+from airbyte_cdk.models import AirbyteEstimateTraceMessage, AirbyteTraceMessage, EstimateType, TraceType
+
 
 def read_json(filepath):
     with open(filepath, "r") as f:
@@ -17,3 +19,15 @@ def format_airbyte_time(d: datetime):
     s = s.replace(" ", "T")
     s += "+00:00"
     return s
+
+
+def now_millis():
+    return int(datetime.datetime.now().timestamp() * 1000)
+
+
+def generate_estimate(stream_name: str, total: int, bytes_per_row: int):
+    emitted_at = int(datetime.datetime.now().timestamp() * 1000)
+    estimate_message = AirbyteEstimateTraceMessage(
+        type=EstimateType.STREAM, name=stream_name, row_estimate=round(total), byte_estimate=round(total * bytes_per_row)
+    )
+    return AirbyteTraceMessage(type=TraceType.ESTIMATE, emitted_at=emitted_at, estimate=estimate_message)

From 5becbc1010c7ba115eef36faa5d50abab972a36d Mon Sep 17 00:00:00 2001
From: evantahler <evan@airbyte.io>
Date: Wed, 21 Dec 2022 15:37:06 -0800
Subject: [PATCH 06/13] update expected_records

---
 .../integration_tests/expected_records.jsonl  | 243 +++++++++---------
 1 file changed, 120 insertions(+), 123 deletions(-)

diff --git a/airbyte-integrations/connectors/source-faker/integration_tests/expected_records.jsonl b/airbyte-integrations/connectors/source-faker/integration_tests/expected_records.jsonl
index 87ff4c896424..193e54ef3713 100644
--- a/airbyte-integrations/connectors/source-faker/integration_tests/expected_records.jsonl
+++ b/airbyte-integrations/connectors/source-faker/integration_tests/expected_records.jsonl
@@ -1,123 +1,120 @@
-{"stream": "users", "data": {"id": 1, "created_at": "2009-08-12T18:57:58+00:00", "updated_at": "2012-07-02T08:32:31+00:00", "name": "Reda", "title": "M.Sc.Tech.", "age": 47, "email": "locations1983@protonmail.com", "telephone": "+1-(110)-795-7610", "gender": "Male", "language": "Tamil", "academic_degree": "Master", "nationality": "Italian", "occupation": "Word Processing Operator", "height": "1.55", "blood_type": "B\u2212", "weight": 58}, "emitted_at": 1669830193008}
-{"stream": "users", "data": {"id": 2, "created_at": "2008-09-23T19:57:09+00:00", "updated_at": "2016-03-10T04:48:06+00:00", "name": "Tristan", "title": "M.Sc.Tech.", "age": 32, "email": "variations1847@duck.com", "telephone": "683-770-9281", "gender": "Other", "language": "Bosnian", "academic_degree": "Bachelor", "nationality": "Estonian", "occupation": "Tiler", "height": "2.00", "blood_type": "AB\u2212", "weight": 44}, "emitted_at": 1669830193008}
-{"stream": "users", "data": {"id": 3, "created_at": "2003-06-14T10:39:40+00:00", "updated_at": "2003-12-03T21:21:30+00:00", "name": "Yuki", "title": "Miss", "age": 50, "email": "vacuum2027@yahoo.com", "telephone": "1-321-809-2061", "gender": "Female", "language": "Armenian", "academic_degree": "Bachelor", "nationality": "Swiss", "occupation": "Valuer", "height": "1.84", "blood_type": "O\u2212", "weight": 71}, "emitted_at": 1669830193008}
-{"stream": "users", "data": {"id": 4, "created_at": "2001-09-30T00:05:46+00:00", "updated_at": "2006-09-16T14:55:33+00:00", "name": "Fred", "title": "MMath", "age": 47, "email": "causes1859@outlook.com", "telephone": "(827) 127-3811", "gender": "Female", "language": "Assamese", "academic_degree": "PhD", "nationality": "Russian", "occupation": "Turkey Farmer", "height": "1.80", "blood_type": "A+", "weight": 39}, "emitted_at": 1669830193008}
-{"stream": "users", "data": {"id": 5, "created_at": "2012-12-27T21:40:00+00:00", "updated_at": "2015-06-08T23:20:45+00:00", "name": "Emmitt", "title": "DPhil", "age": 39, "email": "athens1899@gmail.com", "telephone": "(470) 656-8003", "gender": "Other", "language": "English", "academic_degree": "Bachelor", "nationality": "Jordanian", "occupation": "Stone Sawyer", "height": "1.52", "blood_type": "A+", "weight": 82}, "emitted_at": 1669830193008}
-{"stream": "users", "data": {"id": 6, "created_at": "2002-04-30T18:14:15+00:00", "updated_at": "2004-09-15T02:05:20+00:00", "name": "Hollis", "title": "MSc", "age": 52, "email": "fisheries1881@yandex.com", "telephone": "(519) 606-9896", "gender": "Other", "language": "Swati", "academic_degree": "Master", "nationality": "Chilean", "occupation": "Writer", "height": "1.85", "blood_type": "AB\u2212", "weight": 85}, "emitted_at": 1669830193008}
-{"stream": "users", "data": {"id": 7, "created_at": "2003-09-11T17:13:51+00:00", "updated_at": "2016-08-04T09:35:18+00:00", "name": "Kip", "title": "M.D.", "age": 31, "email": "numbers1983@example.com", "telephone": "346-013-2638", "gender": "Other", "language": "Armenian", "academic_degree": "Master", "nationality": "Swiss", "occupation": "Salesman", "height": "1.89", "blood_type": "O+", "weight": 48}, "emitted_at": 1669830193008}
-{"stream": "users", "data": {"id": 8, "created_at": "2012-06-19T07:18:11+00:00", "updated_at": "2017-10-10T14:05:38+00:00", "name": "Carie", "title": "Madam", "age": 49, "email": "watershed1819@example.com", "telephone": "(348) 881-9607", "gender": "Male", "language": "Kyrgyz", "academic_degree": "PhD", "nationality": "Guatemalan", "occupation": "Park Ranger", "height": "1.50", "blood_type": "O+", "weight": 83}, "emitted_at": 1669830193008}
-{"stream": "users", "data": {"id": 9, "created_at": "2002-11-25T04:56:09+00:00", "updated_at": "2005-01-20T21:16:30+00:00", "name": "Steven", "title": "Mr.", "age": 54, "email": "llp1893@yahoo.com", "telephone": "830.247.8156", "gender": "Fluid", "language": "Catalan", "academic_degree": "Bachelor", "nationality": "Egyptian", "occupation": "Ambulance Driver", "height": "1.52", "blood_type": "AB+", "weight": 81}, "emitted_at": 1669830193008}
-{"stream": "users", "data": {"id": 10, "created_at": "2001-02-23T17:43:25+00:00", "updated_at": "2022-09-09T16:51:15+00:00", "name": "Lore", "title": "Madam", "age": 61, "email": "resident2075@example.com", "telephone": "321.233.0702", "gender": "Female", "language": "Polish", "academic_degree": "Master", "nationality": "French", "occupation": "Registrar", "height": "1.99", "blood_type": "B+", "weight": 56}, "emitted_at": 1669830193008}
-{"stream": "purchases", "data": {"id": 1, "product_id": 98, "user_id": 1, "added_to_cart_at": "2019-01-17T18:57:58+00:00", "purchased_at": "2020-06-30T18:57:58+00:00", "returned_at": null}, "emitted_at": 1669830193009}
-{"stream": "purchases", "data": {"id": 2, "product_id": 39, "user_id": 2, "added_to_cart_at": "2019-06-02T19:57:09+00:00", "purchased_at": "2022-09-08T19:57:09+00:00", "returned_at": null}, "emitted_at": 1669830193009}
-{"stream": "purchases", "data": {"id": 3, "product_id": 37, "user_id": 3, "added_to_cart_at": "2006-08-01T10:39:40+00:00", "purchased_at": null, "returned_at": null}, "emitted_at": 1669830193009}
-{"stream": "purchases", "data": {"id": 4, "product_id": 80, "user_id": 3, "added_to_cart_at": "2021-05-18T10:39:40+00:00", "purchased_at": "2022-11-14T10:39:40+00:00", "returned_at": null}, "emitted_at": 1669830193010}
-{"stream": "purchases", "data": {"id": 5, "product_id": 40, "user_id": 4, "added_to_cart_at": "2003-12-18T00:05:46+00:00", "purchased_at": null, "returned_at": null}, "emitted_at": 1669830193010}
-{"stream": "purchases", "data": {"id": 6, "product_id": 88, "user_id": 4, "added_to_cart_at": "2009-02-24T00:05:46+00:00", "purchased_at": "2021-09-14T00:05:46+00:00", "returned_at": "2022-03-14T00:05:46+00:00"}, "emitted_at": 1669830193010}
-{"stream": "purchases", "data": {"id": 7, "product_id": 79, "user_id": 5, "added_to_cart_at": "2020-03-03T21:40:00+00:00", "purchased_at": "2022-11-17T21:40:00+00:00", "returned_at": null}, "emitted_at": 1669830193010}
-{"stream": "purchases", "data": {"id": 8, "product_id": 67, "user_id": 6, "added_to_cart_at": "2008-03-02T18:14:15+00:00", "purchased_at": "2020-06-21T18:14:15+00:00", "returned_at": "2020-09-24T18:14:15+00:00"}, "emitted_at": 1669830193010}
-{"stream": "purchases", "data": {"id": 9, "product_id": 91, "user_id": 7, "added_to_cart_at": "2022-03-12T17:13:51+00:00", "purchased_at": null, "returned_at": null}, "emitted_at": 1669830193010}
-{"stream": "purchases", "data": {"id": 10, "product_id": 79, "user_id": 8, "added_to_cart_at": "2017-12-31T07:18:11+00:00", "purchased_at": "2019-05-14T07:18:11+00:00", "returned_at": null}, "emitted_at": 1669830193010}
-{"stream": "purchases", "data": {"id": 11, "product_id": 91, "user_id": 8, "added_to_cart_at": "2022-03-24T07:18:11+00:00", "purchased_at": "2022-06-29T07:18:11+00:00", "returned_at": null}, "emitted_at": 1669830193010}
-{"stream": "purchases", "data": {"id": 12, "product_id": 19, "user_id": 9, "added_to_cart_at": "2020-11-29T04:56:09+00:00", "purchased_at": "2022-03-02T04:56:09+00:00", "returned_at": "2022-04-12T04:56:09+00:00"}, "emitted_at": 1669830193010}
-{"stream": "purchases", "data": {"id": 13, "product_id": 63, "user_id": 10, "added_to_cart_at": "2003-08-05T17:43:25+00:00", "purchased_at": "2015-12-15T17:43:25+00:00", "returned_at": null}, "emitted_at": 1669830193010}
-{"stream": "products", "data": {"id": 1, "make": "Mazda", "model": "MX-5", "year": 2008, "price": 2869, "created_at": "2022-02-01T17:02:19+00:00"}, "emitted_at": 1669830193011}
-{"stream": "products", "data": {"id": 2, "make": "Mercedes-Benz", "model": "C-Class", "year": 2009, "price": 42397, "created_at": "2021-01-25T14:31:33+00:00"}, "emitted_at": 1669830193011}
-{"stream": "products", "data": {"id": 3, "make": "Honda", "model": "Accord Crosstour", "year": 2011, "price": 63293, "created_at": "2021-02-11T05:36:03+00:00"}, "emitted_at": 1669830193011}
-{"stream": "products", "data": {"id": 4, "make": "GMC", "model": "Jimmy", "year": 1998, "price": 34079, "created_at": "2022-01-24T03:00:03+00:00"}, "emitted_at": 1669830193011}
-{"stream": "products", "data": {"id": 5, "make": "Infiniti", "model": "FX", "year": 2004, "price": 17036, "created_at": "2021-10-02T03:55:44+00:00"}, "emitted_at": 1669830193011}
-{"stream": "products", "data": {"id": 6, "make": "Dodge", "model": "Intrepid", "year": 2002, "price": 65498, "created_at": "2022-01-18T00:41:08+00:00"}, "emitted_at": 1669830193011}
-{"stream": "products", "data": {"id": 7, "make": "Nissan", "model": "Frontier", "year": 2005, "price": 14516, "created_at": "2021-04-22T16:37:44+00:00"}, "emitted_at": 1669830193011}
-{"stream": "products", "data": {"id": 8, "make": "Chevrolet", "model": "Express 1500", "year": 2007, "price": 13023, "created_at": "2021-07-12T07:13:04+00:00"}, "emitted_at": 1669830193011}
-{"stream": "products", "data": {"id": 9, "make": "Bentley", "model": "Continental GTC", "year": 2008, "price": 43458, "created_at": "2021-03-17T05:43:15+00:00"}, "emitted_at": 1669830193011}
-{"stream": "products", "data": {"id": 10, "make": "Cadillac", "model": "DTS", "year": 2008, "price": 43859, "created_at": "2021-08-12T07:33:58+00:00"}, "emitted_at": 1669830193011}
-{"stream": "products", "data": {"id": 11, "make": "Dodge", "model": "Ram 2500", "year": 2000, "price": 82904, "created_at": "2021-09-03T10:51:16+00:00"}, "emitted_at": 1669830193011}
-{"stream": "products", "data": {"id": 12, "make": "Suzuki", "model": "SJ 410", "year": 1984, "price": 38667, "created_at": "2021-01-11T00:15:46+00:00"}, "emitted_at": 1669830193011}
-{"stream": "products", "data": {"id": 13, "make": "Audi", "model": "S4", "year": 2005, "price": 2391, "created_at": "2021-09-06T03:31:10+00:00"}, "emitted_at": 1669830193011}
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+{"stream": "products", "data": {"id": 75, "make": "Chevrolet", "model": "Tahoe", "year": 1998, "price": 33585, "created_at": "2022-01-09T04:28:54+00:00"}, "emitted_at": 1671665757362}
+{"stream": "products", "data": {"id": 76, "make": "Ford", "model": "Explorer Sport Trac", "year": 2010, "price": 2087, "created_at": "2022-03-28T00:28:16+00:00"}, "emitted_at": 1671665757362}
+{"stream": "products", "data": {"id": 77, "make": "Ford", "model": "F150", "year": 2007, "price": 17621, "created_at": "2021-03-23T15:08:10+00:00"}, "emitted_at": 1671665757362}
+{"stream": "products", "data": {"id": 78, "make": "Ford", "model": "Taurus", "year": 1995, "price": 16478, "created_at": "2021-06-07T22:29:50+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 79, "make": "Mitsubishi", "model": "Truck", "year": 1992, "price": 70616, "created_at": "2022-01-30T05:14:02+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 80, "make": "Dodge", "model": "Colt", "year": 1994, "price": 34163, "created_at": "2022-04-02T18:06:30+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 81, "make": "Mazda", "model": "RX-7", "year": 1991, "price": 29634, "created_at": "2021-01-06T10:30:59+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 82, "make": "Pontiac", "model": "Grand Prix", "year": 1984, "price": 88575, "created_at": "2021-02-24T06:06:57+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 83, "make": "Mazda", "model": "Mazdaspeed 3", "year": 2012, "price": 77723, "created_at": "2021-11-11T22:48:05+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 84, "make": "Alfa Romeo", "model": "Spider", "year": 1992, "price": 64288, "created_at": "2021-01-06T03:50:27+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 85, "make": "Audi", "model": "S8", "year": 2002, "price": 33718, "created_at": "2021-07-21T11:14:54+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 86, "make": "Isuzu", "model": "Amigo", "year": 1992, "price": 53335, "created_at": "2022-03-02T10:42:21+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 87, "make": "Toyota", "model": "Paseo", "year": 1996, "price": 74558, "created_at": "2021-10-02 14:54:58+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 88, "make": "Lincoln", "model": "Continental Mark VII", "year": 1986, "price": 42150, "created_at": "2021-10-02T04:48:53+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 89, "make": "Dodge", "model": "Dakota", "year": 1997, "price": 64516, "created_at": "2021-09-09T23:13:26+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 90, "make": "Chevrolet", "model": "Tahoe", "year": 1998, "price": 51461, "created_at": "2021-04-06T08:29:19+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 91, "make": "Pontiac", "model": "Vibe", "year": 2006, "price": 12134, "created_at": "2021-01-11T22:30:14+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 92, "make": "Volkswagen", "model": "Eos", "year": 2011, "price": 53128, "created_at": "2021-01-12T23:25:06+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 93, "make": "Mazda", "model": "Mazdaspeed6", "year": 2007, "price": 90902, "created_at": "2021-12-29T14:29:03+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 94, "make": "Nissan", "model": "Xterra", "year": 2005, "price": 41532, "created_at": "2021-09-07 09:00:49+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 95, "make": "Mercury", "model": "Sable", "year": 2005, "price": 71337, "created_at": "2021-01-31T22:13:44+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 96, "make": "BMW", "model": "330", "year": 2006, "price": 14494, "created_at": "2021-09-17T20:52:48+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 97, "make": "Audi", "model": "R8", "year": 2008, "price": 17642, "created_at": "2021-09-21T11:56:24+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 98, "make": "Cadillac", "model": "CTS-V", "year": 2007, "price": 19914, "created_at": "2021-09-02T15:38:46+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 99, "make": "GMC", "model": "1500 Club Coupe", "year": 1997, "price": 82288, "created_at": "2021-04-20T18:58:15+00:00"}, "emitted_at": 1671665757363}
+{"stream": "products", "data": {"id": 100, "make": "Buick", "model": "Somerset", "year": 1986, "price": 64148, "created_at": "2021-06-10T19:07:38+00:00"}, "emitted_at": 1671665757363}

From 4c60b0770c336b7597022368d7d85f8c137a008f Mon Sep 17 00:00:00 2001
From: evantahler <evan@airbyte.io>
Date: Wed, 21 Dec 2022 15:51:50 -0800
Subject: [PATCH 07/13] bump default records-per-slice to 1k

---
 .../connectors/source-faker/source_faker/spec.json              | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/airbyte-integrations/connectors/source-faker/source_faker/spec.json b/airbyte-integrations/connectors/source-faker/source_faker/spec.json
index c9fc7c8267d0..0715a4ac366c 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/spec.json
+++ b/airbyte-integrations/connectors/source-faker/source_faker/spec.json
@@ -35,7 +35,7 @@
         "description": "How many fake records will be in each page (stream slice), before a state message is emitted?",
         "type": "integer",
         "minimum": 1,
-        "default": 100,
+        "default": 1000,
         "order": 3
       },
       "threads": {

From f2f8e6f19950ed9c8079e13fb584e7a9eccaa85c Mon Sep 17 00:00:00 2001
From: evantahler <evan@airbyte.io>
Date: Wed, 21 Dec 2022 16:05:31 -0800
Subject: [PATCH 08/13] enforce unique email addresses

---
 .../connectors/source-faker/source_faker/streams.py         | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/airbyte-integrations/connectors/source-faker/source_faker/streams.py b/airbyte-integrations/connectors/source-faker/source_faker/streams.py
index 960c80f9c02b..a09d48461bd9 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/streams.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/streams.py
@@ -107,6 +107,10 @@ def generate_user(self, user_id: int):
         time_a = dt.datetime()
         time_b = dt.datetime()
 
+        # faker doesn't always produce unique email addresses, so to enforce uniqueness, we will append the user_id to the prefix
+        email_parts = person.email().split("@")
+        email = f"{email_parts[0]}+{user_id + 1}@{email_parts[1]}"
+
         profile = {
             "id": user_id + 1,
             "created_at": format_airbyte_time(time_a if time_a <= time_b else time_b),
@@ -114,7 +118,7 @@ def generate_user(self, user_id: int):
             "name": person.name(),
             "title": person.title(),
             "age": person.age(),
-            "email": person.email(),
+            "email": email,
             "telephone": person.telephone(),
             "gender": person.gender(),
             "language": person.language(),

From da4c02e17458fe750fadaa74bb27f7daec9d53bf Mon Sep 17 00:00:00 2001
From: evantahler <evan@airbyte.io>
Date: Thu, 22 Dec 2022 13:43:08 -0800
Subject: [PATCH 09/13] cleanup

---
 .../airbyte_message_with_cached_json.py       |   7 +-
 .../source_faker/purchase_generator.py        | 103 ++++++++++++
 .../source-faker/source_faker/streams.py      | 156 ++----------------
 .../source_faker/user_generator.py            |  72 ++++++++
 4 files changed, 197 insertions(+), 141 deletions(-)
 create mode 100644 airbyte-integrations/connectors/source-faker/source_faker/purchase_generator.py
 create mode 100644 airbyte-integrations/connectors/source-faker/source_faker/user_generator.py

diff --git a/airbyte-integrations/connectors/source-faker/source_faker/airbyte_message_with_cached_json.py b/airbyte-integrations/connectors/source-faker/source_faker/airbyte_message_with_cached_json.py
index 5567599f14de..316cbe76405f 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/airbyte_message_with_cached_json.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/airbyte_message_with_cached_json.py
@@ -6,7 +6,12 @@
 
 
 class AirbyteMessageWithCachedJSON(AirbyteMessage):
-    """I a monkeypatch to AirbyteMessage which pre-renders the JSON-representation of the object upon initialization.  This allows the JSON to be calculated in the thread/process that builds the object rather than the main thread."""
+    """
+    I a monkeypatch to AirbyteMessage which pre-renders the JSON-representation of the object upon initialization.
+    This allows the JSON to be calculated in the thread/process that builds the object rather than the main thread.
+
+    Note: We can't use @cache here because the LRU cache is not serializable when passed to child workers.
+    """
 
     def __init__(self, **kwargs):
         super().__init__(**kwargs)
diff --git a/airbyte-integrations/connectors/source-faker/source_faker/purchase_generator.py b/airbyte-integrations/connectors/source-faker/source_faker/purchase_generator.py
new file mode 100644
index 000000000000..b1a206a33bf8
--- /dev/null
+++ b/airbyte-integrations/connectors/source-faker/source_faker/purchase_generator.py
@@ -0,0 +1,103 @@
+#
+# Copyright (c) 2022 Airbyte, Inc., all rights reserved.
+#
+
+import datetime
+from multiprocessing import current_process
+from typing import Dict
+
+from airbyte_cdk.models import AirbyteRecordMessage, Type
+from mimesis import Datetime, Numeric
+
+from .airbyte_message_with_cached_json import AirbyteMessageWithCachedJSON
+from .utils import format_airbyte_time, now_millis
+
+
+class PurchaseGenerator:
+    def __init__(self, stream_name: str, seed: int) -> None:
+        self.stream_name = stream_name
+        self.seed = seed
+
+    def prepare(self):
+        """
+        Note: the instances of the mimesis generators need to be global.
+        Yes, they *should* be able to be instance variables on this class, which should only instantiated once-per-worker, but that's not quite the case:
+        * relying only on prepare as a pool initializer fails because we are calling the parent process's method, not the fork
+        * Calling prepare() as part of generate() (perhaps checking if self.person is set) and then `print(self, current_process()._identity, current_process().pid)` reveals multiple object IDs in the same thread, resetting the internal random counters
+        """
+
+        seed_with_offset = self.seed
+        if len(current_process()._identity) > 0:
+            seed_with_offset = self.seed + current_process()._identity[0]
+
+        global dt
+        global numeric
+
+        dt = Datetime(seed=seed_with_offset)
+        numeric = Numeric(seed=seed_with_offset)
+
+    def random_date_in_range(
+        self, start_date: datetime.datetime, end_date: datetime.datetime = datetime.datetime.now()
+    ) -> datetime.datetime:
+        time_between_dates = end_date - start_date
+        days_between_dates = time_between_dates.days
+        if days_between_dates < 2:
+            days_between_dates = 2
+        random_number_of_days = numeric.integer_number(0, days_between_dates)
+        random_date = start_date + datetime.timedelta(days=random_number_of_days)
+        return random_date
+
+    def generate(self, user_id: int) -> list[Dict]:
+        """
+        Because we are doing this work in parallel processes, we need a deterministic way to know what a purchase's ID should be given on the input of a user_id.
+        tldr; Every 10 user_ids produce 10 purchases.  User ID x5 has no purchases, User ID mod x7 has 2, and everyone else has 1
+        """
+
+        purchases: list[Dict] = []
+        last_user_id_digit = int(repr(user_id)[-1])
+        purchase_count = 1
+        id_offset = 0
+        if last_user_id_digit - 1 == 5:
+            purchase_count = 0
+        elif last_user_id_digit - 1 == 6:
+            id_offset = 1
+        elif last_user_id_digit - 1 == 7:
+            id_offset = 1
+            purchase_count = 2
+
+        total_products = 100
+        i = 0
+
+        while purchase_count > 0:
+            id = user_id + i + 1 - id_offset
+            time_a = dt.datetime()
+            time_b = dt.datetime()
+            created_at = time_a if time_a <= time_b else time_b
+            product_id = numeric.integer_number(1, total_products)
+            added_to_cart_at = self.random_date_in_range(created_at)
+            purchased_at = (
+                self.random_date_in_range(added_to_cart_at)
+                if added_to_cart_at is not None and numeric.integer_number(1, 100) <= 70
+                else None
+            )  # 70% likely to purchase the item in the cart
+            returned_at = (
+                self.random_date_in_range(purchased_at) if purchased_at is not None and numeric.integer_number(1, 100) <= 15 else None
+            )  # 15% likely to return the item
+
+            purchase = {
+                "id": id,
+                "product_id": product_id,
+                "user_id": user_id + 1,
+                "added_to_cart_at": format_airbyte_time(added_to_cart_at) if added_to_cart_at is not None else None,
+                "purchased_at": format_airbyte_time(purchased_at) if purchased_at is not None else None,
+                "returned_at": format_airbyte_time(returned_at) if returned_at is not None else None,
+            }
+
+            record = AirbyteRecordMessage(stream=self.stream_name, data=purchase, emitted_at=now_millis())
+            message = AirbyteMessageWithCachedJSON(type=Type.RECORD, record=record)
+            purchases.append(message)
+
+            purchase_count = purchase_count - 1
+            i += 1
+
+        return purchases
diff --git a/airbyte-integrations/connectors/source-faker/source_faker/streams.py b/airbyte-integrations/connectors/source-faker/source_faker/streams.py
index a09d48461bd9..fcc7b9a9f9dc 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/streams.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/streams.py
@@ -2,32 +2,15 @@
 # Copyright (c) 2022 Airbyte, Inc., all rights reserved.
 #
 
-import datetime
 import os
-from multiprocessing import Pool, current_process
+from multiprocessing import Pool
 from typing import Any, Dict, Iterable, Mapping, Optional
 
-from airbyte_cdk.models import AirbyteRecordMessage, Type
 from airbyte_cdk.sources.streams import IncrementalMixin, Stream
-from mimesis import Datetime, Numeric, Person
-from mimesis.locales import Locale
 
-from .airbyte_message_with_cached_json import AirbyteMessageWithCachedJSON
-from .utils import format_airbyte_time, generate_estimate, now_millis, read_json
-
-
-class FakerMultithreaded:
-    def worker_init(self):
-        """For the workers, we want a unique instance of the faker packages with their own seeds to differentiate the generated responses"""
-        global person
-        global dt
-        global numeric
-        seed_with_offset = self.seed
-        if self.seed is not None:
-            seed_with_offset = self.seed + current_process()._identity[0]
-        person = Person(locale=Locale.EN, seed=seed_with_offset)
-        dt = Datetime(seed=seed_with_offset)
-        numeric = Numeric(seed=seed_with_offset)
+from .purchase_generator import PurchaseGenerator
+from .user_generator import UserGenerator
+from .utils import generate_estimate, read_json
 
 
 class Products(Stream, IncrementalMixin):
@@ -76,7 +59,7 @@ def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
         self.state = {self.cursor_field: total_records, "seed": self.seed}
 
 
-class Users(Stream, IncrementalMixin, FakerMultithreaded):
+class Users(Stream, IncrementalMixin):
     primary_key = None
     cursor_field = "id"
 
@@ -87,6 +70,7 @@ def __init__(self, count: int, seed: int, threads: int, records_per_sync: int, r
         self.records_per_sync = records_per_sync
         self.records_per_slice = records_per_slice
         self.threads = threads
+        self.generator = UserGenerator(self.name, self.seed)
 
     @property
     def state_checkpoint_interval(self) -> Optional[int]:
@@ -103,42 +87,6 @@ def state(self) -> Mapping[str, Any]:
     def state(self, value: Mapping[str, Any]):
         self._state = value
 
-    def generate_user(self, user_id: int):
-        time_a = dt.datetime()
-        time_b = dt.datetime()
-
-        # faker doesn't always produce unique email addresses, so to enforce uniqueness, we will append the user_id to the prefix
-        email_parts = person.email().split("@")
-        email = f"{email_parts[0]}+{user_id + 1}@{email_parts[1]}"
-
-        profile = {
-            "id": user_id + 1,
-            "created_at": format_airbyte_time(time_a if time_a <= time_b else time_b),
-            "updated_at": format_airbyte_time(time_a if time_a > time_b else time_b),
-            "name": person.name(),
-            "title": person.title(),
-            "age": person.age(),
-            "email": email,
-            "telephone": person.telephone(),
-            "gender": person.gender(),
-            "language": person.language(),
-            "academic_degree": person.academic_degree(),
-            "nationality": person.nationality(),
-            "occupation": person.occupation(),
-            "height": person.height(),
-            "blood_type": person.blood_type(),
-            "weight": person.weight(),
-        }
-
-        while not profile["created_at"]:
-            profile["created_at"] = format_airbyte_time(dt.datetime())
-
-        if not profile["updated_at"]:
-            profile["updated_at"] = profile["created_at"] + 1
-
-        record = AirbyteRecordMessage(stream=self.name, data=profile, emitted_at=now_millis())
-        return AirbyteMessageWithCachedJSON(type=Type.RECORD, record=record)
-
     def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
         total_records = self.state[self.cursor_field] if self.cursor_field in self.state else 0
         records_in_sync = 0
@@ -146,21 +94,18 @@ def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
         median_record_byte_size = 450
         yield generate_estimate(self.name, self.count - total_records, median_record_byte_size)
 
-        running = True
-        with Pool(initializer=self.worker_init, processes=self.threads) as pool:
-            while running and records_in_sync < self.count:
+        with Pool(initializer=self.generator.prepare, processes=self.threads) as pool:
+            while records_in_sync < self.count:
                 records_remaining_this_loop = min(self.records_per_slice, (self.count - total_records))
                 if records_remaining_this_loop <= 0:
-                    running = False
                     break
-                users = pool.map(self.generate_user, range(total_records, total_records + records_remaining_this_loop))
+                users = pool.map(self.generator.generate, range(total_records, total_records + records_remaining_this_loop))
                 for user in users:
                     total_records += 1
                     records_in_sync += 1
                     yield user
 
                     if records_in_sync == self.records_per_sync:
-                        running = False
                         break
 
                 self.state = {self.cursor_field: total_records, "seed": self.seed}
@@ -168,7 +113,7 @@ def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
         self.state = {self.cursor_field: total_records, "seed": self.seed}
 
 
-class Purchases(Stream, IncrementalMixin, FakerMultithreaded):
+class Purchases(Stream, IncrementalMixin):
     primary_key = None
     cursor_field = "id"
 
@@ -178,9 +123,8 @@ def __init__(self, count: int, seed: int, threads: int, records_per_sync: int, r
         self.seed = seed
         self.records_per_sync = records_per_sync
         self.records_per_slice = records_per_slice
-        self.dt = Datetime(seed=self.seed)
-        self.numeric = Numeric(seed=self.seed)
         self.threads = threads
+        self.generator = PurchaseGenerator(self.name, self.seed)
 
     @property
     def state_checkpoint_interval(self) -> Optional[int]:
@@ -197,88 +141,21 @@ def state(self) -> Mapping[str, Any]:
     def state(self, value: Mapping[str, Any]):
         self._state = value
 
-    def random_date_in_range(
-        self, start_date: datetime.datetime, end_date: datetime.datetime = datetime.datetime.now()
-    ) -> datetime.datetime:
-        time_between_dates = end_date - start_date
-        days_between_dates = time_between_dates.days
-        if days_between_dates < 2:
-            days_between_dates = 2
-        random_number_of_days = self.numeric.integer_number(0, days_between_dates)
-        random_date = start_date + datetime.timedelta(days=random_number_of_days)
-        return random_date
-
-    def generate_purchases(self, user_id: int) -> list[Dict]:
-        """Because we are doing this work in parallel processes, we need a deterministic way to know what a purchase's ID should be given on the input of a user_id"""
-        """tldr; Every 10 user_ids produce 10 purchases.  User ID x5 has no purchases, User ID mod x7 has 2, and everyone else has 1"""
-
-        purchases: list[Dict] = []
-        last_user_id_digit = int(repr(user_id)[-1])
-        purchase_count = 1
-        id_offset = 0
-        if last_user_id_digit - 1 == 5:
-            purchase_count = 0
-        elif last_user_id_digit - 1 == 6:
-            id_offset = 1
-        elif last_user_id_digit - 1 == 7:
-            id_offset = 1
-            purchase_count = 2
-
-        total_products = 100
-        i = 0
-
-        while purchase_count > 0:
-            id = user_id + i + 1 - id_offset
-            time_a = dt.datetime()
-            time_b = dt.datetime()
-            created_at = time_a if time_a <= time_b else time_b
-            product_id = numeric.integer_number(1, total_products)
-            added_to_cart_at = self.random_date_in_range(created_at)
-            purchased_at = (
-                self.random_date_in_range(added_to_cart_at)
-                if added_to_cart_at is not None and numeric.integer_number(1, 100) <= 70
-                else None
-            )  # 70% likely to purchase the item in the cart
-            returned_at = (
-                self.random_date_in_range(purchased_at) if purchased_at is not None and numeric.integer_number(1, 100) <= 15 else None
-            )  # 15% likely to return the item
-
-            purchase = {
-                "id": id,
-                "product_id": product_id,
-                "user_id": user_id + 1,
-                "added_to_cart_at": format_airbyte_time(added_to_cart_at) if added_to_cart_at is not None else None,
-                "purchased_at": format_airbyte_time(purchased_at) if purchased_at is not None else None,
-                "returned_at": format_airbyte_time(returned_at) if returned_at is not None else None,
-            }
-
-            record = AirbyteRecordMessage(stream=self.name, data=purchase, emitted_at=now_millis())
-            message = AirbyteMessageWithCachedJSON(type=Type.RECORD, record=record)
-            purchases.append(message)
-
-            purchase_count = purchase_count - 1
-            i += 1
-
-        return purchases
-
     def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
         total_purchase_records = self.state[self.cursor_field] if self.cursor_field in self.state else 0
         total_user_records = self.state["user_id"] if "user_id" in self.state else 0
         user_records_in_sync = 0
 
+        # a fuzzy guess, some users have purchases, some don't
         median_record_byte_size = 230
-        yield generate_estimate(
-            self.name, (self.count - total_user_records) * 1.3, median_record_byte_size
-        )  # a fuzzy guess, some users have purchases, some don't
+        yield generate_estimate(self.name, (self.count - total_user_records) * 1.3, median_record_byte_size)
 
-        running = True
-        with Pool(initializer=self.worker_init, processes=self.threads) as pool:
-            while running and total_user_records < self.count:
+        with Pool(initializer=self.generator.prepare, processes=self.threads) as pool:
+            while total_user_records < self.count:
                 records_remaining_this_loop = min(self.records_per_slice, (self.count - user_records_in_sync))
                 if records_remaining_this_loop <= 0:
-                    running = False
                     break
-                carts = pool.map(self.generate_purchases, range(total_user_records, total_user_records + records_remaining_this_loop))
+                carts = pool.map(self.generator.generate, range(total_user_records, total_user_records + records_remaining_this_loop))
                 for purchases in carts:
                     for purchase in purchases:
                         total_purchase_records += 1
@@ -288,7 +165,6 @@ def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
                     user_records_in_sync += 1
 
                     if user_records_in_sync == self.records_per_sync:
-                        running = False
                         break
 
                 self.state = {self.cursor_field: total_purchase_records, "user_id": total_user_records, "seed": self.seed}
diff --git a/airbyte-integrations/connectors/source-faker/source_faker/user_generator.py b/airbyte-integrations/connectors/source-faker/source_faker/user_generator.py
new file mode 100644
index 000000000000..6fab4dc2bb48
--- /dev/null
+++ b/airbyte-integrations/connectors/source-faker/source_faker/user_generator.py
@@ -0,0 +1,72 @@
+#
+# Copyright (c) 2022 Airbyte, Inc., all rights reserved.
+#
+
+from multiprocessing import current_process
+
+from airbyte_cdk.models import AirbyteRecordMessage, Type
+from mimesis import Datetime, Person
+from mimesis.locales import Locale
+
+from .airbyte_message_with_cached_json import AirbyteMessageWithCachedJSON
+from .utils import format_airbyte_time, now_millis
+
+
+class UserGenerator:
+    def __init__(self, stream_name: str, seed: int) -> None:
+        self.stream_name = stream_name
+        self.seed = seed
+
+    def prepare(self):
+        """
+        Note: the instances of the mimesis generators need to be global.
+        Yes, they *should* be able to be instance variables on this class, which should only instantiated once-per-worker, but that's not quite the case:
+        * relying only on prepare as a pool initializer fails because we are calling the parent process's method, not the fork
+        * Calling prepare() as part of generate() (perhaps checking if self.person is set) and then `print(self, current_process()._identity, current_process().pid)` reveals multiple object IDs in the same thread, resetting the internal random counters
+        """
+
+        seed_with_offset = self.seed
+        if len(current_process()._identity) > 0:
+            seed_with_offset = self.seed + current_process()._identity[0]
+
+        global person
+        global dt
+
+        person = Person(locale=Locale.EN, seed=seed_with_offset)
+        dt = Datetime(seed=seed_with_offset)
+
+    def generate(self, user_id: int):
+        time_a = dt.datetime()
+        time_b = dt.datetime()
+
+        # faker doesn't always produce unique email addresses, so to enforce uniqueness, we will append the user_id to the prefix
+        email_parts = person.email().split("@")
+        email = f"{email_parts[0]}+{user_id + 1}@{email_parts[1]}"
+
+        profile = {
+            "id": user_id + 1,
+            "created_at": format_airbyte_time(time_a if time_a <= time_b else time_b),
+            "updated_at": format_airbyte_time(time_a if time_a > time_b else time_b),
+            "name": person.name(),
+            "title": person.title(),
+            "age": person.age(),
+            "email": email,
+            "telephone": person.telephone(),
+            "gender": person.gender(),
+            "language": person.language(),
+            "academic_degree": person.academic_degree(),
+            "nationality": person.nationality(),
+            "occupation": person.occupation(),
+            "height": person.height(),
+            "blood_type": person.blood_type(),
+            "weight": person.weight(),
+        }
+
+        while not profile["created_at"]:
+            profile["created_at"] = format_airbyte_time(dt.datetime())
+
+        if not profile["updated_at"]:
+            profile["updated_at"] = profile["created_at"] + 1
+
+        record = AirbyteRecordMessage(stream=self.stream_name, data=profile, emitted_at=now_millis())
+        return AirbyteMessageWithCachedJSON(type=Type.RECORD, record=record)

From 1def34c2c90d7e736ab74e8e2fd3278512811f2c Mon Sep 17 00:00:00 2001
From: evantahler <evan@airbyte.io>
Date: Thu, 22 Dec 2022 13:47:45 -0800
Subject: [PATCH 10/13] more comments

---
 .../connectors/source-faker/source_faker/streams.py    | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/airbyte-integrations/connectors/source-faker/source_faker/streams.py b/airbyte-integrations/connectors/source-faker/source_faker/streams.py
index fcc7b9a9f9dc..089bc43e5f6d 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/streams.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/streams.py
@@ -88,6 +88,11 @@ def state(self, value: Mapping[str, Any]):
         self._state = value
 
     def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
+        """
+        This is a multi-process implementation of read_records.
+        We make N workers (where N is the number of available CPUs) and spread out the CPU-bound work of generating records and serializing them to JSON
+        """
+
         total_records = self.state[self.cursor_field] if self.cursor_field in self.state else 0
         records_in_sync = 0
 
@@ -142,6 +147,11 @@ def state(self, value: Mapping[str, Any]):
         self._state = value
 
     def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
+        """
+        This is a multi-process implementation of read_records.
+        We make N workers (where N is the number of available CPUs) and spread out the CPU-bound work of generating records and serializing them to JSON
+        """
+
         total_purchase_records = self.state[self.cursor_field] if self.cursor_field in self.state else 0
         total_user_records = self.state["user_id"] if "user_id" in self.state else 0
         user_records_in_sync = 0

From ebbe63e313fb565387c31841e24daddc2cba4bbd Mon Sep 17 00:00:00 2001
From: evantahler <evan@airbyte.io>
Date: Thu, 22 Dec 2022 14:39:25 -0800
Subject: [PATCH 11/13] `parallelism` and pass tests

---
 .../source_faker/purchase_generator.py        |  2 +-
 .../source-faker/source_faker/source.py       |  8 +++----
 .../source-faker/source_faker/spec.json       |  6 ++---
 .../source-faker/source_faker/streams.py      | 22 +++++++++----------
 .../source_faker/user_generator.py            |  2 +-
 .../source-faker/unit_tests/unit_test.py      | 22 +++++++++----------
 6 files changed, 31 insertions(+), 31 deletions(-)

diff --git a/airbyte-integrations/connectors/source-faker/source_faker/purchase_generator.py b/airbyte-integrations/connectors/source-faker/source_faker/purchase_generator.py
index b1a206a33bf8..3caa19ddf788 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/purchase_generator.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/purchase_generator.py
@@ -27,7 +27,7 @@ def prepare(self):
         """
 
         seed_with_offset = self.seed
-        if len(current_process()._identity) > 0:
+        if self.seed is not None and len(current_process()._identity) > 0:
             seed_with_offset = self.seed + current_process()._identity[0]
 
         global dt
diff --git a/airbyte-integrations/connectors/source-faker/source_faker/source.py b/airbyte-integrations/connectors/source-faker/source_faker/source.py
index a8b877951861..3772cea75516 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/source.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/source.py
@@ -23,10 +23,10 @@ def streams(self, config: Mapping[str, Any]) -> List[Stream]:
         seed: int = config["seed"] if "seed" in config else None
         records_per_sync: int = config["records_per_sync"] if "records_per_sync" in config else 500
         records_per_slice: int = config["records_per_slice"] if "records_per_slice" in config else 100
-        threads: int = config["threads"] if "threads" in config else 4
+        parallelism: int = config["parallelism"] if "parallelism" in config else 4
 
         return [
-            Products(count, seed, threads, records_per_sync, records_per_slice),
-            Users(count, seed, threads, records_per_sync, records_per_slice),
-            Purchases(count, seed, threads, records_per_sync, records_per_slice),
+            Products(count, seed, parallelism, records_per_sync, records_per_slice),
+            Users(count, seed, parallelism, records_per_sync, records_per_slice),
+            Purchases(count, seed, parallelism, records_per_sync, records_per_slice),
         ]
diff --git a/airbyte-integrations/connectors/source-faker/source_faker/spec.json b/airbyte-integrations/connectors/source-faker/source_faker/spec.json
index 0715a4ac366c..0d20f791000d 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/spec.json
+++ b/airbyte-integrations/connectors/source-faker/source_faker/spec.json
@@ -38,9 +38,9 @@
         "default": 1000,
         "order": 3
       },
-      "threads": {
-        "title": "Worker Threads",
-        "description": "How many parallel worker threads should be used to generate records?",
+      "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,
diff --git a/airbyte-integrations/connectors/source-faker/source_faker/streams.py b/airbyte-integrations/connectors/source-faker/source_faker/streams.py
index 089bc43e5f6d..a25e93813615 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/streams.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/streams.py
@@ -17,7 +17,7 @@ class Products(Stream, IncrementalMixin):
     primary_key = None
     cursor_field = "id"
 
-    def __init__(self, count: int, seed: int, threads: int, records_per_sync: int, records_per_slice: int, **kwargs):
+    def __init__(self, count: int, seed: int, parallelism: int, records_per_sync: int, records_per_slice: int, **kwargs):
         super().__init__(**kwargs)
         self.seed = seed
         self.records_per_sync = records_per_sync
@@ -63,13 +63,13 @@ class Users(Stream, IncrementalMixin):
     primary_key = None
     cursor_field = "id"
 
-    def __init__(self, count: int, seed: int, threads: int, records_per_sync: int, records_per_slice: int, **kwargs):
+    def __init__(self, count: int, seed: int, parallelism: int, records_per_sync: int, records_per_slice: int, **kwargs):
         super().__init__(**kwargs)
         self.count = count
         self.seed = seed
         self.records_per_sync = records_per_sync
         self.records_per_slice = records_per_slice
-        self.threads = threads
+        self.parallelism = parallelism
         self.generator = UserGenerator(self.name, self.seed)
 
     @property
@@ -99,8 +99,8 @@ def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
         median_record_byte_size = 450
         yield generate_estimate(self.name, self.count - total_records, median_record_byte_size)
 
-        with Pool(initializer=self.generator.prepare, processes=self.threads) as pool:
-            while records_in_sync < self.count:
+        with Pool(initializer=self.generator.prepare, processes=self.parallelism) as pool:
+            while records_in_sync < self.count and records_in_sync < self.records_per_sync:
                 records_remaining_this_loop = min(self.records_per_slice, (self.count - total_records))
                 if records_remaining_this_loop <= 0:
                     break
@@ -110,7 +110,7 @@ def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
                     records_in_sync += 1
                     yield user
 
-                    if records_in_sync == self.records_per_sync:
+                    if records_in_sync >= self.records_per_sync:
                         break
 
                 self.state = {self.cursor_field: total_records, "seed": self.seed}
@@ -122,13 +122,13 @@ class Purchases(Stream, IncrementalMixin):
     primary_key = None
     cursor_field = "id"
 
-    def __init__(self, count: int, seed: int, threads: int, records_per_sync: int, records_per_slice: int, **kwargs):
+    def __init__(self, count: int, seed: int, parallelism: int, records_per_sync: int, records_per_slice: int, **kwargs):
         super().__init__(**kwargs)
         self.count = count
         self.seed = seed
         self.records_per_sync = records_per_sync
         self.records_per_slice = records_per_slice
-        self.threads = threads
+        self.parallelism = parallelism
         self.generator = PurchaseGenerator(self.name, self.seed)
 
     @property
@@ -160,8 +160,8 @@ def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
         median_record_byte_size = 230
         yield generate_estimate(self.name, (self.count - total_user_records) * 1.3, median_record_byte_size)
 
-        with Pool(initializer=self.generator.prepare, processes=self.threads) as pool:
-            while total_user_records < self.count:
+        with Pool(initializer=self.generator.prepare, processes=self.parallelism) as pool:
+            while total_user_records < self.count and user_records_in_sync < self.records_per_sync:
                 records_remaining_this_loop = min(self.records_per_slice, (self.count - user_records_in_sync))
                 if records_remaining_this_loop <= 0:
                     break
@@ -174,7 +174,7 @@ def read_records(self, **kwargs) -> Iterable[Mapping[str, Any]]:
                     total_user_records += 1
                     user_records_in_sync += 1
 
-                    if user_records_in_sync == self.records_per_sync:
+                    if user_records_in_sync >= self.records_per_sync:
                         break
 
                 self.state = {self.cursor_field: total_purchase_records, "user_id": total_user_records, "seed": self.seed}
diff --git a/airbyte-integrations/connectors/source-faker/source_faker/user_generator.py b/airbyte-integrations/connectors/source-faker/source_faker/user_generator.py
index 6fab4dc2bb48..a743456816fc 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/user_generator.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/user_generator.py
@@ -26,7 +26,7 @@ def prepare(self):
         """
 
         seed_with_offset = self.seed
-        if len(current_process()._identity) > 0:
+        if self.seed is not None and len(current_process()._identity) > 0:
             seed_with_offset = self.seed + current_process()._identity[0]
 
         global person
diff --git a/airbyte-integrations/connectors/source-faker/unit_tests/unit_test.py b/airbyte-integrations/connectors/source-faker/unit_tests/unit_test.py
index 2a21bd69530a..193960b73453 100644
--- a/airbyte-integrations/connectors/source-faker/unit_tests/unit_test.py
+++ b/airbyte-integrations/connectors/source-faker/unit_tests/unit_test.py
@@ -25,7 +25,7 @@ def exception(a,b,**kwargs):
 
 def schemas_are_valid():
     source = SourceFaker()
-    config = {"count": 1, "threads": 1}
+    config = {"count": 1, "parallelism": 1}
     catalog = source.discover(None, config)
     catalog = AirbyteMessage(type=Type.CATALOG, catalog=catalog).dict(exclude_unset=True)
     schemas = [stream["json_schema"] for stream in catalog["catalog"]["streams"]]
@@ -36,7 +36,7 @@ def schemas_are_valid():
 
 def test_source_streams():
     source = SourceFaker()
-    config = {"count": 1, "threads": 1}
+    config = {"count": 1, "parallelism": 1}
     catalog = source.discover(None, config)
     catalog = AirbyteMessage(type=Type.CATALOG, catalog=catalog).dict(exclude_unset=True)
     schemas = [stream["json_schema"] for stream in catalog["catalog"]["streams"]]
@@ -64,7 +64,7 @@ def test_source_streams():
 
 def test_read_small_random_data():
     source = SourceFaker()
-    config = {"count": 10, "threads": 1}
+    config = {"count": 10, "parallelism": 1}
     catalog = ConfiguredAirbyteCatalog(
         streams=[
             {
@@ -98,7 +98,7 @@ def test_read_small_random_data():
 
 def test_no_read_limit_hit():
     source = SourceFaker()
-    config = {"count": 10, "threads": 1}
+    config = {"count": 10, "parallelism": 1}
     catalog = ConfiguredAirbyteCatalog(
         streams=[
             {
@@ -128,7 +128,7 @@ def test_no_read_limit_hit():
 
 def test_read_big_random_data():
     source = SourceFaker()
-    config = {"count": 1000, "records_per_slice": 100, "records_per_sync": 1000, "threads": 1}
+    config = {"count": 1000, "records_per_slice": 100, "records_per_sync": 1000, "parallelism": 1}
     catalog = ConfiguredAirbyteCatalog(
         streams=[
             {
@@ -163,7 +163,7 @@ def test_read_big_random_data():
 
 def test_with_purchases():
     source = SourceFaker()
-    config = {"count": 1000, "records_per_sync": 1000, "threads": 1}
+    config = {"count": 1000, "records_per_sync": 1000, "parallelism": 1}
     catalog = ConfiguredAirbyteCatalog(
         streams=[
             {
@@ -205,7 +205,7 @@ def test_with_purchases():
 
 def test_sync_ends_with_limit():
     source = SourceFaker()
-    config = {"count": 100, "records_per_sync": 5, "threads": 1}
+    config = {"count": 100, "records_per_sync": 5, "parallelism": 1}
     catalog = ConfiguredAirbyteCatalog(
         streams=[
             {
@@ -239,7 +239,7 @@ def test_read_with_seed():
     """
 
     source = SourceFaker()
-    config = {"count": 1, "seed": 100, "threads": 1}
+    config = {"count": 1, "seed": 100, "parallelism": 1}
     catalog = ConfiguredAirbyteCatalog(
         streams=[
             {
@@ -253,14 +253,14 @@ def test_read_with_seed():
     iterator = source.read(logger, config, catalog, state)
 
     records = [row for row in iterator if row.type is Type.RECORD]
-    assert records[0].record.data["occupation"] == "Illustrator"
-    assert records[0].record.data["email"] == "upcoming1928@protonmail.com"
+    assert records[0].record.data["occupation"] == "Cartoonist"
+    assert records[0].record.data["email"] == "reflect1958+1@yahoo.com"
 
 
 def test_ensure_no_purchases_without_users():
     with pytest.raises(ValueError):
         source = SourceFaker()
-        config = {"count": 100, "threads": 1}
+        config = {"count": 100, "parallelism": 1}
         catalog = ConfiguredAirbyteCatalog(
             streams=[
                 {"stream": {"name": "purchases", "json_schema": {}}, "sync_mode": "incremental", "destination_sync_mode": "overwrite"},

From 310605b04e5bcbe605934bce9094399beb7e3523 Mon Sep 17 00:00:00 2001
From: evantahler <evan@airbyte.io>
Date: Thu, 22 Dec 2022 14:42:57 -0800
Subject: [PATCH 12/13] update expected records

---
 .../integration_tests/expected_records.jsonl  | 240 +++++++++---------
 1 file changed, 120 insertions(+), 120 deletions(-)

diff --git a/airbyte-integrations/connectors/source-faker/integration_tests/expected_records.jsonl b/airbyte-integrations/connectors/source-faker/integration_tests/expected_records.jsonl
index 193e54ef3713..e6e1c3e60c9a 100644
--- a/airbyte-integrations/connectors/source-faker/integration_tests/expected_records.jsonl
+++ b/airbyte-integrations/connectors/source-faker/integration_tests/expected_records.jsonl
@@ -1,120 +1,120 @@
-{"stream": "users", "data": {"id": 1, "created_at": "2004-10-28T02:16:07+00:00", "updated_at": "2014-08-21T12:50:13+00:00", "name": "Walter", "title": "PhD", "age": 47, "email": "similarly1907@example.com", "telephone": "084.704.7299", "gender": "Male", "language": "Amharic", "academic_degree": "Bachelor", "nationality": "Saudi", "occupation": "Valve Technician", "height": "1.50", "blood_type": "B\u2212", "weight": 81}, "emitted_at": 1671665757124}
-{"stream": "users", "data": {"id": 2, "created_at": "2000-12-15T08:46:51+00:00", "updated_at": "2015-01-29T12:27:38+00:00", "name": "Nestor", "title": "Sir", "age": 47, "email": "guys1918@example.org", "telephone": "994.991.6727", "gender": "Other", "language": "Montenegrin", "academic_degree": "PhD", "nationality": "Costa Rican", "occupation": "Optical Advisor", "height": "1.64", "blood_type": "AB\u2212", "weight": 70}, "emitted_at": 1671665757125}
-{"stream": "users", "data": {"id": 3, "created_at": "2017-01-31T12:43:13+00:00", "updated_at": "2018-02-11T00:01:01+00:00", "name": "Arnita", "title": "Madam", "age": 42, "email": "painted1991@yandex.com", "telephone": "611.837.4386", "gender": "Other", "language": "Spanish", "academic_degree": "Bachelor", "nationality": "Chinese", "occupation": "Textile Engineer", "height": "1.61", "blood_type": "O+", "weight": 87}, "emitted_at": 1671665757125}
-{"stream": "users", "data": {"id": 4, "created_at": "2000-09-08T14:31:35+00:00", "updated_at": "2011-04-22T07:48:29+00:00", "name": "Theron", "title": "M.Sc.Tech.", "age": 38, "email": "sectors2080@outlook.com", "telephone": "1-788-785-5408", "gender": "Female", "language": "Montenegrin", "academic_degree": "Master", "nationality": "Japanese", "occupation": "Printer", "height": "1.71", "blood_type": "O+", "weight": 72}, "emitted_at": 1671665757125}
-{"stream": "users", "data": {"id": 5, "created_at": "2005-11-24T09:07:47+00:00", "updated_at": "2009-01-14T17:59:41+00:00", "name": "Sharika", "title": "Master", "age": 27, "email": "espn2082@example.org", "telephone": "860-007-2163", "gender": "Male", "language": "Dutch", "academic_degree": "Bachelor", "nationality": "Ecuadorian", "occupation": "Travel Courier", "height": "1.98", "blood_type": "O\u2212", "weight": 79}, "emitted_at": 1671665757125}
-{"stream": "users", "data": {"id": 6, "created_at": "2021-04-10T09:37:56+00:00", "updated_at": "2022-09-30T13:32:53+00:00", "name": "Shanita", "title": "MSc", "age": 23, "email": "mali1975@duck.com", "telephone": "227.994.9230", "gender": "Female", "language": "Malagasy", "academic_degree": "PhD", "nationality": "Jordanian", "occupation": "Security Consultant", "height": "1.77", "blood_type": "AB+", "weight": 78}, "emitted_at": 1671665757125}
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+{"stream": "products", "data": {"id": 48, "make": "Pontiac", "model": "6000", "year": 1989, "price": 65165, "created_at": "2021-10-30T13:03:07+00:00"}, "emitted_at": 1671748915432}
+{"stream": "products", "data": {"id": 49, "make": "Lexus", "model": "IS", "year": 2006, "price": 22434, "created_at": "2021-01-16T10:45:52+00:00"}, "emitted_at": 1671748915432}
+{"stream": "products", "data": {"id": 50, "make": "Isuzu", "model": "VehiCROSS", "year": 2001, "price": 38180, "created_at": "2021-12-13T16:29:27+00:00"}, "emitted_at": 1671748915432}
+{"stream": "products", "data": {"id": 51, "make": "Buick", "model": "Regal", "year": 2000, "price": 38680, "created_at": "2021-12-29T22:25:54+00:00"}, "emitted_at": 1671748915432}
+{"stream": "products", "data": {"id": 52, "make": "Mercedes-Benz", "model": "E-Class", "year": 2007, "price": 51556, "created_at": "2021-07-06T11:42:23+00:00"}, "emitted_at": 1671748915432}
+{"stream": "products", "data": {"id": 53, "make": "Buick", "model": "LeSabre", "year": 2001, "price": 10904, "created_at": "2022-01-05T18:23:35+00:00"}, "emitted_at": 1671748915432}
+{"stream": "products", "data": {"id": 54, "make": "Porsche", "model": "928", "year": 1989, "price": 70917, "created_at": "2022-01-02T23:16:45+00:00"}, "emitted_at": 1671748915432}
+{"stream": "products", "data": {"id": 55, "make": "Lexus", "model": "RX", "year": 2007, "price": 5212, "created_at": "2021-07-10T15:02:53+00:00"}, "emitted_at": 1671748915432}
+{"stream": "products", "data": {"id": 56, "make": "Ford", "model": "Econoline E250", "year": 1996, "price": 75095, "created_at": "2021-02-04T16:17:18+00:00"}, "emitted_at": 1671748915432}
+{"stream": "products", "data": {"id": 57, "make": "Chevrolet", "model": "Blazer", "year": 2001, "price": 61918, "created_at": "2021-12-08T07:25:30+00:00"}, "emitted_at": 1671748915432}
+{"stream": "products", "data": {"id": 58, "make": "GMC", "model": "Savana 3500", "year": 2003, "price": 30307, "created_at": "2021-11-21T23:11:45+00:00"}, "emitted_at": 1671748915432}
+{"stream": "products", "data": {"id": 59, "make": "BMW", "model": "M", "year": 2002, "price": 24598, "created_at": "2021-05-28T04:08:53+00:00"}, "emitted_at": 1671748915432}
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+{"stream": "products", "data": {"id": 61, "make": "Chrysler", "model": "Sebring", "year": 2003, "price": 34753, "created_at": "2021-02-11T11:25:35+00:00"}, "emitted_at": 1671748915432}
+{"stream": "products", "data": {"id": 62, "make": "Lotus", "model": "Evora", "year": 2010, "price": 42760, "created_at": "2021-08-31T00:29:05+00:00"}, "emitted_at": 1671748915432}
+{"stream": "products", "data": {"id": 63, "make": "Jeep", "model": "Wrangler", "year": 2011, "price": 8684, "created_at": "2021-06-24T10:38:05+00:00"}, "emitted_at": 1671748915432}
+{"stream": "products", "data": {"id": 64, "make": "Ford", "model": "Expedition", "year": 2012, "price": 25653, "created_at": "2021-07-01T16:13:20+00:00"}, "emitted_at": 1671748915432}
+{"stream": "products", "data": {"id": 65, "make": "Chevrolet", "model": "Avalanche 2500", "year": 2006, "price": 3158, "created_at": "2021-08-14T10:55:13+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 66, "make": "Mazda", "model": "Mazda3", "year": 2012, "price": 79820, "created_at": "2021-05-25T21:55:52+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 67, "make": "Toyota", "model": "Tacoma", "year": 2005, "price": 73572, "created_at": "2021-01-22T09:56:02+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 68, "make": "Ford", "model": "Explorer Sport", "year": 2000, "price": 64579, "created_at": "2021-02-16T06:56:06+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 69, "make": "GMC", "model": "Savana Cargo Van", "year": 2006, "price": 65944, "created_at": "2021-09-12T14:08:53+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 70, "make": "Chevrolet", "model": "HHR", "year": 2009, "price": 8953, "created_at": "2021-08-17T04:25:43+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 71, "make": "Ford", "model": "Bronco II", "year": 1989, "price": 41811, "created_at": "2021-07-14T14:20:28+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 72, "make": "Chevrolet", "model": "Suburban 2500", "year": 2011, "price": 57488, "created_at": "2021-09-22T12:32:57+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 73, "make": "Suzuki", "model": "Grand Vitara", "year": 2008, "price": 6408, "created_at": "2021-11-12T23:19:52+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 74, "make": "Mazda", "model": "Mazda6", "year": 2012, "price": 14805, "created_at": "2021-06-01T01:55:32+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 75, "make": "Chevrolet", "model": "Tahoe", "year": 1998, "price": 33585, "created_at": "2022-01-09T04:28:54+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 76, "make": "Ford", "model": "Explorer Sport Trac", "year": 2010, "price": 2087, "created_at": "2022-03-28T00:28:16+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 77, "make": "Ford", "model": "F150", "year": 2007, "price": 17621, "created_at": "2021-03-23T15:08:10+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 78, "make": "Ford", "model": "Taurus", "year": 1995, "price": 16478, "created_at": "2021-06-07T22:29:50+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 79, "make": "Mitsubishi", "model": "Truck", "year": 1992, "price": 70616, "created_at": "2022-01-30T05:14:02+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 80, "make": "Dodge", "model": "Colt", "year": 1994, "price": 34163, "created_at": "2022-04-02T18:06:30+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 81, "make": "Mazda", "model": "RX-7", "year": 1991, "price": 29634, "created_at": "2021-01-06T10:30:59+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 82, "make": "Pontiac", "model": "Grand Prix", "year": 1984, "price": 88575, "created_at": "2021-02-24T06:06:57+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 83, "make": "Mazda", "model": "Mazdaspeed 3", "year": 2012, "price": 77723, "created_at": "2021-11-11T22:48:05+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 84, "make": "Alfa Romeo", "model": "Spider", "year": 1992, "price": 64288, "created_at": "2021-01-06T03:50:27+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 85, "make": "Audi", "model": "S8", "year": 2002, "price": 33718, "created_at": "2021-07-21T11:14:54+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 86, "make": "Isuzu", "model": "Amigo", "year": 1992, "price": 53335, "created_at": "2022-03-02T10:42:21+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 87, "make": "Toyota", "model": "Paseo", "year": 1996, "price": 74558, "created_at": "2021-10-02 14:54:58+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 88, "make": "Lincoln", "model": "Continental Mark VII", "year": 1986, "price": 42150, "created_at": "2021-10-02T04:48:53+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 89, "make": "Dodge", "model": "Dakota", "year": 1997, "price": 64516, "created_at": "2021-09-09T23:13:26+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 90, "make": "Chevrolet", "model": "Tahoe", "year": 1998, "price": 51461, "created_at": "2021-04-06T08:29:19+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 91, "make": "Pontiac", "model": "Vibe", "year": 2006, "price": 12134, "created_at": "2021-01-11T22:30:14+00:00"}, "emitted_at": 1671748915433}
+{"stream": "products", "data": {"id": 92, "make": "Volkswagen", "model": "Eos", "year": 2011, "price": 53128, "created_at": "2021-01-12T23:25:06+00:00"}, "emitted_at": 1671748915434}
+{"stream": "products", "data": {"id": 93, "make": "Mazda", "model": "Mazdaspeed6", "year": 2007, "price": 90902, "created_at": "2021-12-29T14:29:03+00:00"}, "emitted_at": 1671748915434}
+{"stream": "products", "data": {"id": 94, "make": "Nissan", "model": "Xterra", "year": 2005, "price": 41532, "created_at": "2021-09-07 09:00:49+00:00"}, "emitted_at": 1671748915434}
+{"stream": "products", "data": {"id": 95, "make": "Mercury", "model": "Sable", "year": 2005, "price": 71337, "created_at": "2021-01-31T22:13:44+00:00"}, "emitted_at": 1671748915434}
+{"stream": "products", "data": {"id": 96, "make": "BMW", "model": "330", "year": 2006, "price": 14494, "created_at": "2021-09-17T20:52:48+00:00"}, "emitted_at": 1671748915434}
+{"stream": "products", "data": {"id": 97, "make": "Audi", "model": "R8", "year": 2008, "price": 17642, "created_at": "2021-09-21T11:56:24+00:00"}, "emitted_at": 1671748915434}
+{"stream": "products", "data": {"id": 98, "make": "Cadillac", "model": "CTS-V", "year": 2007, "price": 19914, "created_at": "2021-09-02T15:38:46+00:00"}, "emitted_at": 1671748915434}
+{"stream": "products", "data": {"id": 99, "make": "GMC", "model": "1500 Club Coupe", "year": 1997, "price": 82288, "created_at": "2021-04-20T18:58:15+00:00"}, "emitted_at": 1671748915434}
+{"stream": "products", "data": {"id": 100, "make": "Buick", "model": "Somerset", "year": 1986, "price": 64148, "created_at": "2021-06-10T19:07:38+00:00"}, "emitted_at": 1671748915434}

From 64a5045798fd8bcfb8ffd952f5ba5a25ff837191 Mon Sep 17 00:00:00 2001
From: evantahler <evan@airbyte.io>
Date: Thu, 22 Dec 2022 14:44:15 -0800
Subject: [PATCH 13/13] cleanup notes

---
 .../source_faker/airbyte_message_with_cached_json.py            | 2 +-
 .../connectors/source-faker/source_faker/purchase_generator.py  | 2 +-
 .../connectors/source-faker/source_faker/user_generator.py      | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/airbyte-integrations/connectors/source-faker/source_faker/airbyte_message_with_cached_json.py b/airbyte-integrations/connectors/source-faker/source_faker/airbyte_message_with_cached_json.py
index 316cbe76405f..be338ddb4afe 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/airbyte_message_with_cached_json.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/airbyte_message_with_cached_json.py
@@ -8,7 +8,7 @@
 class AirbyteMessageWithCachedJSON(AirbyteMessage):
     """
     I a monkeypatch to AirbyteMessage which pre-renders the JSON-representation of the object upon initialization.
-    This allows the JSON to be calculated in the thread/process that builds the object rather than the main thread.
+    This allows the JSON to be calculated in the process that builds the object rather than the main process.
 
     Note: We can't use @cache here because the LRU cache is not serializable when passed to child workers.
     """
diff --git a/airbyte-integrations/connectors/source-faker/source_faker/purchase_generator.py b/airbyte-integrations/connectors/source-faker/source_faker/purchase_generator.py
index 3caa19ddf788..53cf05be4177 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/purchase_generator.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/purchase_generator.py
@@ -23,7 +23,7 @@ def prepare(self):
         Note: the instances of the mimesis generators need to be global.
         Yes, they *should* be able to be instance variables on this class, which should only instantiated once-per-worker, but that's not quite the case:
         * relying only on prepare as a pool initializer fails because we are calling the parent process's method, not the fork
-        * Calling prepare() as part of generate() (perhaps checking if self.person is set) and then `print(self, current_process()._identity, current_process().pid)` reveals multiple object IDs in the same thread, resetting the internal random counters
+        * Calling prepare() as part of generate() (perhaps checking if self.person is set) and then `print(self, current_process()._identity, current_process().pid)` reveals multiple object IDs in the same process, resetting the internal random counters
         """
 
         seed_with_offset = self.seed
diff --git a/airbyte-integrations/connectors/source-faker/source_faker/user_generator.py b/airbyte-integrations/connectors/source-faker/source_faker/user_generator.py
index a743456816fc..3fcedd2b6ad4 100644
--- a/airbyte-integrations/connectors/source-faker/source_faker/user_generator.py
+++ b/airbyte-integrations/connectors/source-faker/source_faker/user_generator.py
@@ -22,7 +22,7 @@ def prepare(self):
         Note: the instances of the mimesis generators need to be global.
         Yes, they *should* be able to be instance variables on this class, which should only instantiated once-per-worker, but that's not quite the case:
         * relying only on prepare as a pool initializer fails because we are calling the parent process's method, not the fork
-        * Calling prepare() as part of generate() (perhaps checking if self.person is set) and then `print(self, current_process()._identity, current_process().pid)` reveals multiple object IDs in the same thread, resetting the internal random counters
+        * Calling prepare() as part of generate() (perhaps checking if self.person is set) and then `print(self, current_process()._identity, current_process().pid)` reveals multiple object IDs in the same process, resetting the internal random counters
         """
 
         seed_with_offset = self.seed