diff --git a/advanced_tutorials/air_quality/1_air_quality_feature_backfill.ipynb b/advanced_tutorials/air_quality/1_air_quality_feature_backfill.ipynb index 14b6bc79..f203e073 100644 --- a/advanced_tutorials/air_quality/1_air_quality_feature_backfill.ipynb +++ b/advanced_tutorials/air_quality/1_air_quality_feature_backfill.ipynb @@ -626,10 +626,7 @@ "outputs": [], "source": [ "# Insert data\n", - "weather_fg.insert(\n", - " df_weather, \n", - " write_options={\"wait_for_job\": True},\n", - ")" + "weather_fg.insert(df_weather)" ] }, { diff --git a/advanced_tutorials/bitcoin/1_bitcoin_feature_backfill.ipynb b/advanced_tutorials/bitcoin/1_bitcoin_feature_backfill.ipynb index d57908bc..f405c2b9 100644 --- a/advanced_tutorials/bitcoin/1_bitcoin_feature_backfill.ipynb +++ b/advanced_tutorials/bitcoin/1_bitcoin_feature_backfill.ipynb @@ -382,10 +382,7 @@ " event_time='unix',\n", ")\n", "\n", - "tweets_vader_fg.insert(\n", - " tweets_vader,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "tweets_vader_fg.insert(tweets_vader)" ] }, { @@ -417,7 +414,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.9.18" } }, "nbformat": 4, diff --git a/advanced_tutorials/bitcoin/2_bitcoin_feature_pipeline.ipynb b/advanced_tutorials/bitcoin/2_bitcoin_feature_pipeline.ipynb index f44da640..ec6778f2 100644 --- a/advanced_tutorials/bitcoin/2_bitcoin_feature_pipeline.ipynb +++ b/advanced_tutorials/bitcoin/2_bitcoin_feature_pipeline.ipynb @@ -504,7 +504,7 @@ "metadata": {}, "outputs": [], "source": [ - "tweets_vader_fg.insert(tweets_vader_batch, wait=True)" + "tweets_vader_fg.insert(tweets_vader_batch)" ] }, { @@ -536,7 +536,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.9.18" } }, "nbformat": 4, diff --git a/advanced_tutorials/citibike/1_citibike_feature_backfill.ipynb b/advanced_tutorials/citibike/1_citibike_feature_backfill.ipynb index 4811d8b1..9144b5db 100644 --- a/advanced_tutorials/citibike/1_citibike_feature_backfill.ipynb +++ b/advanced_tutorials/citibike/1_citibike_feature_backfill.ipynb @@ -514,10 +514,7 @@ }, "outputs": [], "source": [ - "citibike_usage_fg.insert(\n", - " df_enhanced,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "citibike_usage_fg.insert(df_enhanced)" ] }, { @@ -546,10 +543,7 @@ }, "outputs": [], "source": [ - "citibike_stations_info_fg.insert(\n", - " df_stations_info,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "citibike_stations_info_fg.insert(df_stations_info)" ] }, { @@ -575,10 +569,7 @@ "metadata": {}, "outputs": [], "source": [ - "us_holidays_fg.insert(\n", - " df_holidays,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "us_holidays_fg.insert(df_holidays)" ] }, { @@ -606,10 +597,7 @@ }, "outputs": [], "source": [ - "meteorological_measurements_fg.insert(\n", - " df_weather, \n", - " write_options={\"wait_for_job\": True},\n", - ")" + "meteorological_measurements_fg.insert(df_weather)" ] }, { @@ -643,7 +631,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.9.18" } }, "nbformat": 4, diff --git a/advanced_tutorials/citibike/2_citibike_feature_pipeline.ipynb b/advanced_tutorials/citibike/2_citibike_feature_pipeline.ipynb index 0bd7c4be..a7378fee 100644 --- a/advanced_tutorials/citibike/2_citibike_feature_pipeline.ipynb +++ b/advanced_tutorials/citibike/2_citibike_feature_pipeline.ipynb @@ -321,10 +321,7 @@ "outputs": [], "source": [ "# Insert new data\n", - "meteorological_measurements_fg.insert(\n", - " df_weather_batch,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "meteorological_measurements_fg.insert(df_weather_batch)" ] }, { diff --git a/advanced_tutorials/credit_scores/1_credit_scores_feature_backfill.ipynb b/advanced_tutorials/credit_scores/1_credit_scores_feature_backfill.ipynb index 5bc95161..643741bf 100644 --- a/advanced_tutorials/credit_scores/1_credit_scores_feature_backfill.ipynb +++ b/advanced_tutorials/credit_scores/1_credit_scores_feature_backfill.ipynb @@ -433,10 +433,7 @@ " online_enabled=False,\n", " event_time='datetime',\n", ")\n", - "applications_fg.insert(\n", - " applications_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "applications_fg.insert(applications_df)" ] }, { @@ -460,10 +457,7 @@ " primary_key=['sk_id_bureau'],\n", " online_enabled=False,\n", ")\n", - "bureau_balances_fg.insert(\n", - " bureau_balances_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "bureau_balances_fg.insert(bureau_balances_df)" ] }, { @@ -488,10 +482,7 @@ " online_enabled=False,\n", " event_time='datetime',\n", ")\n", - "bureaus_fg.insert(\n", - " bureaus_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "bureaus_fg.insert(bureaus_df)" ] }, { @@ -516,10 +507,7 @@ " online_enabled=False,\n", " event_time='datetime',\n", ")\n", - "previous_applications_fg.insert(\n", - " previous_applications_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "previous_applications_fg.insert(previous_applications_df)" ] }, { @@ -571,10 +559,7 @@ " online_enabled=False,\n", " event_time='datetime',\n", ")\n", - "installment_payments_fg.insert(\n", - " installment_payments_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "installment_payments_fg.insert(installment_payments_df)" ] }, { @@ -598,10 +583,7 @@ " primary_key=['sk_id_prev','sk_id_curr'],\n", " online_enabled=False,\n", ")\n", - "credit_card_balances_fg.insert(\n", - " credit_card_balances_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "credit_card_balances_fg.insert(credit_card_balances_df)" ] }, { @@ -626,10 +608,7 @@ " online_enabled=False,\n", ")\n", "\n", - "previous_loan_counts_fg.insert(\n", - " previous_loan_counts,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "previous_loan_counts_fg.insert(previous_loan_counts)" ] }, { @@ -908,7 +887,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.9.18" } }, "nbformat": 4, diff --git a/advanced_tutorials/credit_scores/2_credit_scores_feature_pipeline.ipynb b/advanced_tutorials/credit_scores/2_credit_scores_feature_pipeline.ipynb index 0e9348a9..5c736ba2 100644 --- a/advanced_tutorials/credit_scores/2_credit_scores_feature_pipeline.ipynb +++ b/advanced_tutorials/credit_scores/2_credit_scores_feature_pipeline.ipynb @@ -397,10 +397,7 @@ "metadata": {}, "outputs": [], "source": [ - "bureau_balances_fg.insert(\n", - " bureau_balances_df_generated,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "bureau_balances_fg.insert(bureau_balances_df_generated)" ] }, { @@ -410,10 +407,7 @@ "metadata": {}, "outputs": [], "source": [ - "bureaus_fg.insert(\n", - " bureaus_df_generated, \n", - " write_options={\"wait_for_job\": True},\n", - ")" + "bureaus_fg.insert(bureaus_df_generated)" ] }, { @@ -423,10 +417,7 @@ "metadata": {}, "outputs": [], "source": [ - "credit_card_balances_fg.insert(\n", - " credit_card_balances_df_generated,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "credit_card_balances_fg.insert(credit_card_balances_df_generated)" ] }, { @@ -436,7 +427,10 @@ "metadata": {}, "outputs": [], "source": [ - "installment_payments_fg.insert(installment_payments_df_generated)" + "installment_payments_fg.insert(\n", + " installment_payments_df_generated,\n", + " write_options={\"wait_for_job\": True},\n", + ")" ] }, { @@ -446,10 +440,7 @@ "metadata": {}, "outputs": [], "source": [ - "pos_cash_balances_fg.insert(\n", - " pos_cash_balances_df_generated,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "pos_cash_balances_fg.insert(pos_cash_balances_df_generated)" ] }, { @@ -469,10 +460,7 @@ "metadata": {}, "outputs": [], "source": [ - "previous_loan_counts_fg.insert(\n", - " previous_loan_counts_df_generated,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "previous_loan_counts_fg.insert(previous_loan_counts_df_generated)" ] }, { diff --git a/advanced_tutorials/electricity/1_electricity_feature_backfill.ipynb b/advanced_tutorials/electricity/1_electricity_feature_backfill.ipynb index 65b9036c..098a88bc 100644 --- a/advanced_tutorials/electricity/1_electricity_feature_backfill.ipynb +++ b/advanced_tutorials/electricity/1_electricity_feature_backfill.ipynb @@ -275,10 +275,7 @@ }, "outputs": [], "source": [ - "meteorological_measurements_fg.insert(\n", - " meteorological_measurements_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "meteorological_measurements_fg.insert(meteorological_measurements_df)" ] }, { @@ -309,10 +306,7 @@ }, "outputs": [], "source": [ - "electricity_prices_fg.insert(\n", - " electricity_prices_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "electricity_prices_fg.insert(electricity_prices_df)" ] }, { @@ -342,10 +336,7 @@ }, "outputs": [], "source": [ - "swedish_holidays_fg.insert(\n", - " holidays_df, \n", - " write_options={\"wait_for_job\": True},\n", - ")" + "swedish_holidays_fg.insert(holidays_df)" ] }, { @@ -382,7 +373,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.9.18" } }, "nbformat": 4, diff --git a/advanced_tutorials/electricity/2_electricity_feature_pipeline.ipynb b/advanced_tutorials/electricity/2_electricity_feature_pipeline.ipynb index 0145001b..fa3e08b0 100644 --- a/advanced_tutorials/electricity/2_electricity_feature_pipeline.ipynb +++ b/advanced_tutorials/electricity/2_electricity_feature_pipeline.ipynb @@ -185,10 +185,7 @@ "outputs": [], "source": [ "# Insert data\n", - "electricity_prices_fg.insert(\n", - " electricity_prices_df, \n", - " write_options={\"wait_for_job\": True},\n", - ")" + "electricity_prices_fg.insert(electricity_prices_df)" ] }, { diff --git a/advanced_tutorials/nyc_taxi_fares/1_nyc_taxi_fares_feature_backfill.ipynb b/advanced_tutorials/nyc_taxi_fares/1_nyc_taxi_fares_feature_backfill.ipynb index 0261b5dc..54372aab 100644 --- a/advanced_tutorials/nyc_taxi_fares/1_nyc_taxi_fares_feature_backfill.ipynb +++ b/advanced_tutorials/nyc_taxi_fares/1_nyc_taxi_fares_feature_backfill.ipynb @@ -180,10 +180,7 @@ " statistics_config=True,\n", ")\n", "\n", - "rides_fg.insert(\n", - " df_rides,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "rides_fg.insert(df_rides)" ] }, { @@ -210,10 +207,7 @@ " statistics_config=True,\n", ") \n", "\n", - "fares_fg.insert(\n", - " df_fares, \n", - " write_options={\"wait_for_job\": True},\n", - ")" + "fares_fg.insert(df_fares)" ] }, { diff --git a/advanced_tutorials/recommender-system/1_feature_engineering.ipynb b/advanced_tutorials/recommender-system/1_feature_engineering.ipynb index d7a849c4..83f6a8fb 100644 --- a/advanced_tutorials/recommender-system/1_feature_engineering.ipynb +++ b/advanced_tutorials/recommender-system/1_feature_engineering.ipynb @@ -427,10 +427,7 @@ "metadata": {}, "outputs": [], "source": [ - "customers_fg.insert(\n", - " customers_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "customers_fg.insert(customers_df)" ] }, { @@ -472,10 +469,7 @@ " online_enabled=True,\n", " expectation_suite=expectation_suite_articles,\n", ")\n", - "articles_fg.insert(\n", - " articles_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "articles_fg.insert(articles_df)" ] }, { @@ -532,7 +526,7 @@ " expectation_suite=expectation_suite_transactions,\n", ")\n", "trans_fg.insert(\n", - " trans_df, \n", + " trans_df,\n", " write_options={\"wait_for_job\": True},\n", ")" ] @@ -587,10 +581,7 @@ " primary_key=[\"customer_id\", \"article_id\"], \n", " parents=[articles_fg, customers_fg, trans_fg],\n", ")\n", - "rank_fg.insert(\n", - " ranking_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "rank_fg.insert(ranking_df)" ] }, { diff --git a/advanced_tutorials/transformation_functions/custom/custom_transformation_functions.ipynb b/advanced_tutorials/transformation_functions/custom/custom_transformation_functions.ipynb index 148db6f2..2cd13a97 100644 --- a/advanced_tutorials/transformation_functions/custom/custom_transformation_functions.ipynb +++ b/advanced_tutorials/transformation_functions/custom/custom_transformation_functions.ipynb @@ -171,10 +171,7 @@ " primary_key=['city_name', 'date'],\n", " online_enabled=True,\n", ") \n", - "feature_group.insert(\n", - " df_original, \n", - " write_options={\"wait_for_job\": True},\n", - ")" + "feature_group.insert(df_original)" ] }, { diff --git a/advanced_tutorials/transformation_functions/keras/keras_transformation_functions.ipynb b/advanced_tutorials/transformation_functions/keras/keras_transformation_functions.ipynb index 6402b0ac..42867c9f 100644 --- a/advanced_tutorials/transformation_functions/keras/keras_transformation_functions.ipynb +++ b/advanced_tutorials/transformation_functions/keras/keras_transformation_functions.ipynb @@ -175,10 +175,7 @@ " primary_key=['city_name', 'date'],\n", " online_enabled=True,\n", ") \n", - "feature_group.insert(\n", - " df_original,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "feature_group.insert(df_original)" ] }, { diff --git a/advanced_tutorials/transformation_functions/pytorch/pytorch_transformation_functions.ipynb b/advanced_tutorials/transformation_functions/pytorch/pytorch_transformation_functions.ipynb index 1c4f3f4d..dbd4b334 100644 --- a/advanced_tutorials/transformation_functions/pytorch/pytorch_transformation_functions.ipynb +++ b/advanced_tutorials/transformation_functions/pytorch/pytorch_transformation_functions.ipynb @@ -177,10 +177,7 @@ " primary_key=['city_name', 'date'],\n", " online_enabled=True,\n", ") \n", - "feature_group.insert(\n", - " df_original,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "feature_group.insert(df_original)" ] }, { diff --git a/advanced_tutorials/transformation_functions/sklearn/sklearn_transformation_functions.ipynb b/advanced_tutorials/transformation_functions/sklearn/sklearn_transformation_functions.ipynb index 1ab91e7d..f2160d71 100644 --- a/advanced_tutorials/transformation_functions/sklearn/sklearn_transformation_functions.ipynb +++ b/advanced_tutorials/transformation_functions/sklearn/sklearn_transformation_functions.ipynb @@ -186,10 +186,7 @@ " primary_key=['city_name', 'date'],\n", " online_enabled=True,\n", ") \n", - "feature_group.insert(\n", - " df_original,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "feature_group.insert(df_original)" ] }, { diff --git a/churn/1_churn_feature_pipeline.ipynb b/churn/1_churn_feature_pipeline.ipynb index cf4e7a8e..8a071f36 100644 --- a/churn/1_churn_feature_pipeline.ipynb +++ b/churn/1_churn_feature_pipeline.ipynb @@ -237,10 +237,7 @@ "outputs": [], "source": [ "# Insert data into feature group\n", - "customer_info_fg.insert(\n", - " customer_info_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "customer_info_fg.insert(customer_info_df)" ] }, { @@ -282,10 +279,7 @@ " primary_key=['customerID'],\n", ")\n", "# Insert data into feature group\n", - "demography_fg.insert(\n", - " demography_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "demography_fg.insert(demography_df)" ] }, { @@ -324,10 +318,7 @@ " event_time=\"datetime\",\n", ")\n", "# Insert data into feature group\n", - "subscriptions_fg.insert(\n", - " subscriptions_df, \n", - " write_options={\"wait_for_job\": True},\n", - ")" + "subscriptions_fg.insert(subscriptions_df)" ] }, { diff --git a/fraud_batch/1_fraud_batch_feature_pipeline.ipynb b/fraud_batch/1_fraud_batch_feature_pipeline.ipynb index 8a68d94f..9def1498 100755 --- a/fraud_batch/1_fraud_batch_feature_pipeline.ipynb +++ b/fraud_batch/1_fraud_batch_feature_pipeline.ipynb @@ -251,7 +251,7 @@ "id": "e4cc229e", "metadata": {}, "source": [ - "### Convert date time object to unix epoch in milliseconds" + "### ⚙️ Convert date time object to unix epoch in milliseconds " ] }, { @@ -428,10 +428,7 @@ "outputs": [], "source": [ "# Insert data into feature group\n", - "trans_fg.insert(\n", - " trans_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "trans_fg.insert(trans_df)" ] }, { @@ -505,10 +502,7 @@ "outputs": [], "source": [ "# Insert data into feature group\n", - "window_aggs_fg.insert(\n", - " window_aggs_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "window_aggs_fg.insert(window_aggs_df)" ] }, { diff --git a/fraud_online/1_fraud_online_feature_pipeline.ipynb b/fraud_online/1_fraud_online_feature_pipeline.ipynb index 13edcf35..17acf932 100755 --- a/fraud_online/1_fraud_online_feature_pipeline.ipynb +++ b/fraud_online/1_fraud_online_feature_pipeline.ipynb @@ -466,10 +466,7 @@ " expectation_suite=expectation_suite_profiles,\n", ")\n", "# Insert data into feature group\n", - "profile_fg.insert(\n", - " profiles_df, \n", - " write_options={\"wait_for_job\": True},\n", - ")" + "profile_fg.insert(profiles_df)" ] }, { @@ -581,7 +578,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.9.18" } }, "nbformat": 4, diff --git a/integrations/federated-offline-query/federated-offline-query.ipynb b/integrations/federated-offline-query/federated-offline-query.ipynb index 6a970eec..9967233c 100644 --- a/integrations/federated-offline-query/federated-offline-query.ipynb +++ b/integrations/federated-offline-query/federated-offline-query.ipynb @@ -260,7 +260,7 @@ " primary_key=['repo_name'],\n", ")\n", "\n", - "coverage_fg.insert(coverage_df, write_options={\"wait_for_job\": True})" + "coverage_fg.insert(coverage_df)" ] }, { @@ -364,7 +364,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.18" + "version": "3.9.18" } }, "nbformat": 4, diff --git a/integrations/monitoring/feature_statistics_monitoring.ipynb b/integrations/monitoring/feature_statistics_monitoring.ipynb index f309006f..6b1c6c1f 100755 --- a/integrations/monitoring/feature_statistics_monitoring.ipynb +++ b/integrations/monitoring/feature_statistics_monitoring.ipynb @@ -164,11 +164,10 @@ ")\n", "\n", "_, _ = trans_fv.create_train_validation_test_split(\n", - " description = 'transactions fraud batch training dataset',\n", - " data_format = 'csv',\n", - " validation_size = 0.2,\n", - " test_size = 0.1,\n", - " write_options = {'wait_for_job': True}\n", + " description='transactions fraud batch training dataset',\n", + " data_format='csv',\n", + " validation_size=0.2,\n", + " test_size=0.1,\n", ")" ] }, @@ -513,7 +512,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.9.18" } }, "nbformat": 4, diff --git a/integrations/wandb/2_feature_view_creation.ipynb b/integrations/wandb/2_feature_view_creation.ipynb index 877e5de7..a2b68e40 100755 --- a/integrations/wandb/2_feature_view_creation.ipynb +++ b/integrations/wandb/2_feature_view_creation.ipynb @@ -173,12 +173,11 @@ "outputs": [], "source": [ "td_version, td_job = feature_view.create_train_validation_test_split(\n", - " description = 'transactions fraud batch training dataset',\n", - " data_format = 'csv',\n", - " validation_size = 0.2,\n", - " test_size = 0.1,\n", - " write_options = {'wait_for_job': True},\n", - " coalesce = True,\n", + " description='transactions fraud batch training dataset',\n", + " data_format='csv',\n", + " validation_size=0.2,\n", + " test_size=0.1,\n", + " coalesce=True,\n", ")" ] }, @@ -220,9 +219,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.9.18" } }, "nbformat": 4, "nbformat_minor": 4 -} \ No newline at end of file +} diff --git a/iris/iris_tutorial.ipynb b/iris/iris_tutorial.ipynb index 7249cf57..31de7873 100644 --- a/iris/iris_tutorial.ipynb +++ b/iris/iris_tutorial.ipynb @@ -168,10 +168,7 @@ " description=\"Iris flower dataset\",\n", ")\n", "# Insert data info the feature group\n", - "iris_fg.insert(\n", - " iris_df, \n", - " write_options={\"wait_for_job\": True},\n", - ")" + "iris_fg.insert(iris_df)" ] }, { diff --git a/loan_approval/1-loan-approval-feature-pipeline.ipynb b/loan_approval/1-loan-approval-feature-pipeline.ipynb index f111f11c..b7c33389 100644 --- a/loan_approval/1-loan-approval-feature-pipeline.ipynb +++ b/loan_approval/1-loan-approval-feature-pipeline.ipynb @@ -1017,10 +1017,8 @@ "metadata": {}, "outputs": [], "source": [ - "loans_fg.insert(\n", - " loans_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "# Insert data into the \"loans\" feature group\n", + "loans_fg.insert(loans_df)" ] }, { @@ -1030,10 +1028,8 @@ "metadata": {}, "outputs": [], "source": [ - "applicants_fg.insert(\n", - " applicants_df,\n", - " write_options={\"wait_for_job\": True},\n", - ")" + "# Insert data into the \"applicants\" feature group\n", + "applicants_fg.insert(applicants_df)" ] }, { @@ -1115,7 +1111,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.9.18" }, "papermill": { "default_parameters": {}, diff --git a/quickstart.ipynb b/quickstart.ipynb index 2028eab0..dd97f88a 100644 --- a/quickstart.ipynb +++ b/quickstart.ipynb @@ -429,10 +429,7 @@ "outputs": [], "source": [ "# Insert data into feature group\n", - "window_aggs_fg.insert(\n", - " window_aggs_df, \n", - " write_options={\"wait_for_job\": True},\n", - ")" + "window_aggs_fg.insert(window_aggs_df)" ] }, {