From f58d6a8ac0baa47d27f0e03e4d9332562f3b2fa2 Mon Sep 17 00:00:00 2001 From: Satish Ch Date: Thu, 25 Jul 2024 18:22:27 +0530 Subject: [PATCH 1/9] Added Azure and S3 transfer operators to Teradata Quickstarts --- .../airflow-console-password.png | Bin 0 -> 108684 bytes .../dag.png | Bin 0 -> 31876 bytes .../airflow-console-password.png | Bin 0 -> 108684 bytes .../dag.png | Bin 0 -> 29443 bytes ...ure-to-teradata-transfer-operator-doc.adoc | 202 ++++++++++++++++++ ...-s3-to-teradata-transfer-operator-doc.adoc | 202 ++++++++++++++++++ 6 files changed, 404 insertions(+) create mode 100644 modules/airflow/images/airflow-azure-to-teradata-transfer-operator-doc/airflow-console-password.png create mode 100644 modules/airflow/images/airflow-azure-to-teradata-transfer-operator-doc/dag.png create mode 100644 modules/airflow/images/airflow-s3-to-teradata-transfer-operator-doc/airflow-console-password.png create mode 100644 modules/airflow/images/airflow-s3-to-teradata-transfer-operator-doc/dag.png 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zelb9)g|&)F;t~i|O%mq-D%yY96+=WdR6f{;T5MUZ`+7(~&N3t4&+M$3G$6SOH1=Ny z_Ha;cwiM?-?|5iN@REs3-LJ$1k%r?jhL}6S+mgRt1m$D~Ij3^=pOO)G2@zol_paKB zWACqQoBpDsa3#_1VG_Gal?vh7zx_vDmEcm=ng&o1ZgJgUeSOCQ*xc%mrEwRwE7w>; zfu`3!pMH38L*3hhYKNm59EwaRoR$-KBg=KHj_Ka-zuTv#q%>R|C<6n8n;#D; zf1X+#d>}253+H}+pP8?SI5sr&HZmqgC)?=u7#kG$-X8@F3S3r}l%v4cSa8MChp+v( zHACbFe)A2{J-yiV5Ywv zp9;;7Q2KZ^{!e0^`|N1NJ)Bpd{|E>vuon`*9 t#oi$-+rP!kf0CvS{V(mW_> ++ +[source, bash] +---- +source airflow_env/bin/activate +---- +2. Configure the listed environment variables to activate the test connection button, preventing the loading of sample DAGs and default connections in Airflow UI. ++ +[source, bash] + export AIRFLOW__CORE__TEST_CONNECTION=Enabled + export AIRFLOW__CORE__LOAD_EXAMPLES=false + export AIRFLOW__CORE__LOAD_DEFAULT_CONNECTIONS=false + +== Start Apache Airflow web server +1. Run airflow web server ++ +[source, bash] +---- +airflow standalone +---- +2. Access the airflow UI. Visit https://localhost:8080 in the browser and log in with the admin account details shown in the terminal. ++ +image::{dir}/airflow-console-password.png[Airflow Password,align="left" width=75%] + +== Define Apache Airflow connection to Vantage + +1. Click on Admin - Connections +2. Click on + to define new connection to Teradata Vantage instance. +3. Define new connection with id `teradata_default` with Teradata Vantage instance details. +* Connection Id: teradata_default +* Connection Type: Teradata +* Database Server URL (required): Teradata Vantage instance hostname to connect to. +* Database: database name +* Login (required): database user +* Password (required): database user password + +Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/connections/teradata.html[Teradata Connection] for more details. + +== Define DAG in Apache Airflow +Dags in airflow are defined as python files. The dag below transfer CSV/JSON/Parquet data from Microsoft Azure Blob Storage to Teradata Vantage instance.Copy the python code below and save it as `airflow-azure-to-teradata-transfer-operator-demo.py` under the directory $AIRFLOW_HOME/dags. + +Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/_api/airflow/providers/teradata/transfers/azure_blob_to_teradata/index.html[AzureBlobStorageToTeradataOperator] for more information on `Azure Blob Storage to Teradata` Transfer Operator. + +[source, python] +---- + +from __future__ import annotations + +import datetime + +from airflow import DAG +from airflow.operators.bash import BashOperator +from airflow.providers.teradata.operators.teradata import TeradataOperator +from airflow.providers.teradata.transfers.azure_blob_to_teradata import AzureBlobStorageToTeradataOperator + +DAG_ID = "example_azure_blob_to_teradata_transfer_operator" +CONN_ID = "teradata_default" +with DAG( + dag_id=DAG_ID, + start_date=datetime.datetime(2020, 2, 2), + schedule="@once", + catchup=False, + default_args={"teradata_conn_id": CONN_ID}, +) as dag: + # Drop table if it exists + drop_table_if_exists = TeradataOperator( + task_id="drop_table_if_exists", + sql="DROP table example_blob_teradata_csv;", + ) + # Transfer data from Azure blob storage to Teradata Vantage instance + transfer_data_csv = AzureBlobStorageToTeradataOperator( + task_id="transfer_data_blob_to_teradata_csv", + blob_source_key="/az/azuretestquickstart.blob.core.windows.net/quickstartdemo", + teradata_table="example_blob_teradata_csv", + teradata_conn_id="teradata_default", + teradata_authorization_name="azure_authorization", + trigger_rule="always", + ) + # Get the number of records transferred from azure blob to teradata table + read_data_table_csv = TeradataOperator( + task_id="read_data_table_csv", + sql="SELECT count(1) from example_blob_teradata_csv;", + ) + # Print number of records in table + print_number_of_records = BashOperator( + task_id='print_number_of_records', + bash_command="echo {{ ti.xcom_pull(task_ids='read_data_table_csv') }}", + ) + ( + drop_table_if_exists + >> transfer_data_csv + >> read_data_table_csv + >> print_number_of_records + ) +---- + +== Load DAG + +When the dag file is copied to $AIRFLOW_HOME/dags, Apache Airflow displays the dag in UI under DAGs section. It will take 2 to 3 minutes to load DAG in Apache Airflow UI. + +== Run DAG + +Run the dag as shown in the image below. + +image::{dir}/dag.png[Run dag,align="left" width=75%] + +== Summary +This guide details the utilization of the Airflow Teradata Provider’s Azure Cloud Transfer Operator to seamlessly transfer CSV, JSON, and Parquet data from Microsoft Azure Blob Storage to Teradata Vantage, facilitating streamlined data operations between these platforms. + +== Further reading +* link:https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/dags.html[Apache Airflow DAGs reference] +* link:https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/SQL-Data-Definition-Language-Syntax-and-Examples/Authorization-Statements-for-External-Routines/CREATE-AUTHORIZATION-and-REPLACE-AUTHORIZATION[Teradata Authorization] +* link:https://learn.microsoft.com/en-us/windows/wsl/install[Install WSL on windows] + diff --git a/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc b/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc new file mode 100644 index 000000000..5e9fbf6ff --- /dev/null +++ b/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc @@ -0,0 +1,202 @@ += Data Transfer from Amazon S3 to Teradata Vantage Using Apache Airflow +:experimental: +:page-author: Satish Chinthanippu +:page-email: satish.chinthanippu@teradata.com +:page-revdate: July 24th, 2024 +:description: Transferring CSV, JSON, and Parquet data from Amazon S3 to Teradata Vantage with Airflow's S3 Cloud Transfer Operator +:keywords: data warehouses, teradata, vantage, transfer, cloud data platform, object storage, business intelligence, enterprise analytics, airflow, airflow teradata provider, amazon s3, s3 +:dir: airflow-s3-to-teradata-transfer-operator-doc +:auxdir: airflow-s3-to-teradata-transfer-operator-doc + +== Overview + +This document provides instructions and guidance for transferring data in CSV, JSON and Parquet formats from Amazon S3 to Teradata Vantage using the Airflow Teradata Provider's https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/operators/s3_to_teradata.html[S3 Cloud Transfer Operator]. It outlines the setup, configuration and execution steps required to establish a seamless data transfer pipeline between these platforms. + +NOTE: Use `https://learn.microsoft.com/en-us/windows/wsl/install[The Windows Subsystem for Linux (WSL)]` on `Windows` to try this quickstart example. + +== Prerequisites +* Access to a Teradata Vantage instance, version 17.10 or higher. ++ +include::ROOT:partial$vantage_clearscape_analytics.adoc[] +* Python 3.8, 3.9, 3.10 or 3.11 and python3-env, python3-pip installed. ++ +[tabs, id="python_install"] +==== +Linux:: ++ +[source,bash] +---- +sudo apt install -y python3-venv python3-pip +---- +WSL:: ++ +[source,bash] +---- +sudo apt install -y python3-venv python3-pip +---- +macOS:: ++ +[source,bash] +---- +brew install python +---- + Refer https://docs.python-guide.org/starting/install3/osx/[Installation Guide] if you face any issues. +==== +* Access to an https://aws.amazon.com[Amazon AWS account] +* Create a https://docs.aws.amazon.com/AmazonS3/latest/userguide/creating-bucket.html[S3 bucket] with name `awstestquickstart` +* https://docs.aws.amazon.com/AmazonS3/latest/userguide/uploading-an-object-bucket.html[Upload] CSV/JSON/Parquest format files to `awstestquickstart` S3 bucket. +* https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html#Using_CreateAccessKey[Access Keys] to access AWS account + + + +== Install Apache Airflow +1. Create a new python environment to manage airflow and its dependencies. Activate the environment. ++ +[source, bash] +---- +python3 -m venv airflow_env +source airflow_env/bin/activate +AIRFLOW_VERSION=2.9.3 +PYTHON_VERSION="$(python3 --version | cut -d " " -f 2 | cut -d "." -f 1-2)" +CONSTRAINT_URL="https://raw.githubusercontent.com/apache/airflow/constraints-${AIRFLOW_VERSION}/constraints-${PYTHON_VERSION}.txt" +pip install "apache-airflow==${AIRFLOW_VERSION}" --constraint "${CONSTRAINT_URL}" +---- + ++ +2. Install Apache Airflow Teradata provider package and Amazon provider package. ++ +[source, bash] +---- +pip install "apache-airflow-providers-teradata[amazon]" +---- +3. Set the AIRFLOW_HOME environment variable. ++ +[source, bash] +---- +export AIRFLOW_HOME=~/airflow +---- + +== Create Teradata Authorization +NOTE: A database client connected to Vantage is needed to execute SQL statements. https://downloads.teradata.com/download/tools/teradata-studio-express[Teradata Studio Express] or https://quickstarts.teradata.com/other-integrations/configure-a-teradata-vantage-connection-in-dbeaver.html[dbeaver] can be used for this purpose. + +[source, teradata-sql] +---- +CREATE AUTHORIZATION aws_authorization USER 'AWSAccessKey' PASSWORD 'AWSSecretAccessKey' +---- +NOTE: Replace `AWSAccessKey` and `AWSSecretAccessKey` with your AWS account https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html[access key] + +== Configure Apache Airflow +1. Switch to virtual environment where Apache Airflow was installed at <> ++ +[source, bash] +---- +source airflow_env/bin/activate +---- +2. Configure the listed environment variables to activate the test connection button, preventing the loading of sample DAGs and default connections in Airflow UI. ++ +[source, bash] + export AIRFLOW__CORE__TEST_CONNECTION=Enabled + export AIRFLOW__CORE__LOAD_EXAMPLES=false + export AIRFLOW__CORE__LOAD_DEFAULT_CONNECTIONS=false + +== Start Apache Airflow web server +1. Run airflow web server ++ +[source, bash] +---- +airflow standalone +---- +2. Access the airflow UI. Visit https://localhost:8080 in the browser and log in with the admin account details shown in the terminal. ++ +image::{dir}/airflow-console-password.png[Airflow Password,align="left" width=75%] + +== Define Apache Airflow connection to Vantage + +1. Click on Admin - Connections +2. Click on + to define new connection to Teradata Vantage instance. +3. Define new connection with id `teradata_default` with Teradata Vantage instance details. +* Connection Id: teradata_default +* Connection Type: Teradata +* Database Server URL (required): Teradata Vantage instance hostname to connect to. +* Database: database name +* Login (required): database user +* Password (required): database user password + +Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/connections/teradata.html[Teradata Connection] for more details. + +== Define DAG in Apache Airflow +Dags in airflow are defined as python files. The dag below transfer CSV/JSON/Parquet data from Amazon S3 to Teradata Vantage instance.Copy the python code below and save it as `airflow-aws-to-teradata-transfer-operator-demo.py` under the directory $AIRFLOW_HOME/dags. + +Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/operators/s3_to_teradata.html[S3ToTeradataOperator] for more information on `Amazon S3 to Teradata` Transfer Operator. + +[source, python] +---- + +from __future__ import annotations + +import datetime + +from airflow import DAG +from airflow.operators.bash import BashOperator +from airflow.providers.teradata.operators.teradata import TeradataOperator +from airflow.providers.teradata.transfers.s3_to_teradata import S3ToTeradataOperator + +DAG_ID = "example_aws_s3_to_teradata_transfer_operator" +CONN_ID = "teradata_default" +with DAG( + dag_id=DAG_ID, + start_date=datetime.datetime(2020, 2, 2), + schedule="@once", + catchup=False, + default_args={"teradata_conn_id": CONN_ID}, +) as dag: + # Drop table if it exists + drop_table_if_exists = TeradataOperator( + task_id="drop_table_if_exists", + sql="DROP table example_s3_teradata_csv;", + ) + # Transfer data from S3 to Teradata Vantage instance + transfer_data_csv = S3ToTeradataOperator( + task_id="transfer_data_s3_to_teradata_csv", + s3_source_key="/s3/awstestquickstart.s3.amazonaws.com/", + teradata_table="example_s3_teradata_csv", + teradata_conn_id="teradata_default", + teradata_authorization_name="aws_authorization", + trigger_rule="always", + ) + # Get the number of records transferred from S3 to teradata table + read_data_table_csv = TeradataOperator( + task_id="read_data_table_csv", + sql="SELECT count(1) from example_s3_teradata_csv;", + ) + # Print number of records in table + print_number_of_records = BashOperator( + task_id='print_number_of_records', + bash_command="echo {{ ti.xcom_pull(task_ids='read_data_table_csv') }}", + ) + ( + drop_table_if_exists + >> transfer_data_csv + >> read_data_table_csv + >> print_number_of_records + ) +---- + +== Load DAG + +When the dag file is copied to $AIRFLOW_HOME/dags, Apache Airflow displays the dag in UI under DAGs section. It will take 2 to 3 minutes to load DAG in Apache Airflow UI. + +== Run DAG + +Run the dag as shown in the image below. + +image::{dir}/dag.png[Run dag,align="left" width=75%] + +== Summary +This guide details the utilization of the Airflow Teradata Provider’s S3 Cloud Transfer Operator to seamlessly transfer CSV, JSON, and Parquet data from Amazon S3 to Teradata Vantage, facilitating streamlined data operations between these platforms. + +== Further reading +* link:https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/dags.html[Apache Airflow DAGs reference] +* link:https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/SQL-Data-Definition-Language-Syntax-and-Examples/Authorization-Statements-for-External-Routines/CREATE-AUTHORIZATION-and-REPLACE-AUTHORIZATION[Teradata Authorization] +* link:https://learn.microsoft.com/en-us/windows/wsl/install[Install WSL on windows] + From 6c5c550a090be3f8a77fce33bc548f2793191339 Mon Sep 17 00:00:00 2001 From: Satish Ch Date: Thu, 25 Jul 2024 19:35:22 +0530 Subject: [PATCH 2/9] Added public storage and private storage details --- ...ure-to-teradata-transfer-operator-doc.adoc | 48 +++++++++++------- ...-s3-to-teradata-transfer-operator-doc.adoc | 49 ++++++++++++------- 2 files changed, 62 insertions(+), 35 deletions(-) diff --git a/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc b/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc index f8ee5f20b..f00301b79 100644 --- a/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc +++ b/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc @@ -42,11 +42,6 @@ brew install python ---- Refer https://docs.python-guide.org/starting/install3/osx/[Installation Guide] if you face any issues. ==== -* An Azure account. You can start with a https://azure.microsoft.com/free/[free account]. -* Create an https://docs.microsoft.com/en-us/azure/storage/common/storage-quickstart-create-account?tabs=azure-portal[Azure storage account] with name `azuretestquickstart` -* Create a https://learn.microsoft.com/en-us/azure/storage/blobs/blob-containers-portal[blob container] with name `quickstartdemo` under Azure storage account `azuretestquickstart` -* https://learn.microsoft.com/en-us/azure/storage/blobs/storage-quickstart-blobs-portal[Upload] CSV/JSON/Parquest format files to `quickstartdemo` blob container. - == Install Apache Airflow @@ -76,15 +71,6 @@ pip install "apache-airflow-providers-teradata[microsoft.azure]" export AIRFLOW_HOME=~/airflow ---- -== Create Teradata Authorization -NOTE: A database client connected to Vantage is needed to execute SQL statements. https://downloads.teradata.com/download/tools/teradata-studio-express[Teradata Studio Express] or https://quickstarts.teradata.com/other-integrations/configure-a-teradata-vantage-connection-in-dbeaver.html[dbeaver] can be used for this purpose. - -[source, teradata-sql] ----- -CREATE AUTHORIZATION azure_authorization USER 'azuretestquickstart' PASSWORD 'AZURE_BLOB_ACCOUNT_SECRET_KEY' ----- -NOTE: Replace `AZURE_BLOB_ACCOUNT_SECRET_KEY` with Azure storage account `azuretestquickstart` https://learn.microsoft.com/en-us/azure/storage/common/storage-account-keys-manage?toc=%2Fazure%2Fstorage%2Fblobs%2Ftoc.json&bc=%2Fazure%2Fstorage%2Fblobs%2Fbreadcrumb%2Ftoc.json&tabs=azure-portal[access key] - == Configure Apache Airflow 1. Switch to virtual environment where Apache Airflow was installed at <> + @@ -125,7 +111,7 @@ image::{dir}/airflow-console-password.png[Airflow Password,align="left" width=75 Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/connections/teradata.html[Teradata Connection] for more details. == Define DAG in Apache Airflow -Dags in airflow are defined as python files. The dag below transfer CSV/JSON/Parquet data from Microsoft Azure Blob Storage to Teradata Vantage instance.Copy the python code below and save it as `airflow-azure-to-teradata-transfer-operator-demo.py` under the directory $AIRFLOW_HOME/dags. +Dags in airflow are defined as python files. The dag below transfer CSV data from Teradata-supplied public blob containers to Teradata Vantage instance.Copy the python code below and save it as `airflow-azure-to-teradata-transfer-operator-demo.py` under the directory $AIRFLOW_HOME/dags. Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/_api/airflow/providers/teradata/transfers/azure_blob_to_teradata/index.html[AzureBlobStorageToTeradataOperator] for more information on `Azure Blob Storage to Teradata` Transfer Operator. @@ -158,10 +144,9 @@ with DAG( # Transfer data from Azure blob storage to Teradata Vantage instance transfer_data_csv = AzureBlobStorageToTeradataOperator( task_id="transfer_data_blob_to_teradata_csv", - blob_source_key="/az/azuretestquickstart.blob.core.windows.net/quickstartdemo", + blob_source_key="/az/akiaxox5jikeotfww4ul.blob.core.windows.net/td-usgs/CSVDATA/", teradata_table="example_blob_teradata_csv", teradata_conn_id="teradata_default", - teradata_authorization_name="azure_authorization", trigger_rule="always", ) # Get the number of records transferred from azure blob to teradata table @@ -192,6 +177,35 @@ Run the dag as shown in the image below. image::{dir}/dag.png[Run dag,align="left" width=75%] +== Transfer data from Private Blob Storage Container to Teradata instance +To successfully transfer data from a Private Blob Storage Container to a Teradata instance, the following prerequisites are necessary. + +* An Azure account. You can start with a https://azure.microsoft.com/free/[free account]. +* Create an https://docs.microsoft.com/en-us/azure/storage/common/storage-quickstart-create-account?tabs=azure-portal[Azure storage account] +* Create a https://learn.microsoft.com/en-us/azure/storage/blobs/blob-containers-portal[blob container] under Azure storage account +* https://learn.microsoft.com/en-us/azure/storage/blobs/storage-quickstart-blobs-portal[Upload] CSV/JSON/Parquest format files to blob container +* Create Teradata Authorization object with Azure Blob Storage Account and Account Secret Key ++ +[source, teradata-sql] +---- +CREATE AUTHORIZATION azure_authorization USER 'azuretestquickstart' PASSWORD 'AZURE_BLOB_ACCOUNT_SECRET_KEY' +---- +NOTE: Replace `AZURE_BLOB_ACCOUNT_SECRET_KEY` with Azure storage account `azuretestquickstart` https://learn.microsoft.com/en-us/azure/storage/common/storage-account-keys-manage?toc=%2Fazure%2Fstorage%2Fblobs%2Ftoc.json&bc=%2Fazure%2Fstorage%2Fblobs%2Fbreadcrumb%2Ftoc.json&tabs=azure-portal[access key] +* Modify `blob_source_key` with YOUR-PRIVATE-OBJECT-STORE-URI in `transfer_data_csv` task and add `teradata_authorization_name` field with Teradata Authorization Object name ++ +[source, python] +---- +transfer_data_csv = AzureBlobStorageToTeradataOperator( + task_id="transfer_data_blob_to_teradata_csv", + blob_source_key="YOUR-OBJECT-STORE-URI", + teradata_table="example_blob_teradata_csv", + teradata_conn_id="teradata_default", + teradata_authorization_name="azure_authorization", + trigger_rule="always", + ) +---- + + == Summary This guide details the utilization of the Airflow Teradata Provider’s Azure Cloud Transfer Operator to seamlessly transfer CSV, JSON, and Parquet data from Microsoft Azure Blob Storage to Teradata Vantage, facilitating streamlined data operations between these platforms. diff --git a/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc b/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc index 5e9fbf6ff..b1ab0f0a7 100644 --- a/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc +++ b/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc @@ -42,12 +42,6 @@ brew install python ---- Refer https://docs.python-guide.org/starting/install3/osx/[Installation Guide] if you face any issues. ==== -* Access to an https://aws.amazon.com[Amazon AWS account] -* Create a https://docs.aws.amazon.com/AmazonS3/latest/userguide/creating-bucket.html[S3 bucket] with name `awstestquickstart` -* https://docs.aws.amazon.com/AmazonS3/latest/userguide/uploading-an-object-bucket.html[Upload] CSV/JSON/Parquest format files to `awstestquickstart` S3 bucket. -* https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html#Using_CreateAccessKey[Access Keys] to access AWS account - - == Install Apache Airflow 1. Create a new python environment to manage airflow and its dependencies. Activate the environment. @@ -76,15 +70,6 @@ pip install "apache-airflow-providers-teradata[amazon]" export AIRFLOW_HOME=~/airflow ---- -== Create Teradata Authorization -NOTE: A database client connected to Vantage is needed to execute SQL statements. https://downloads.teradata.com/download/tools/teradata-studio-express[Teradata Studio Express] or https://quickstarts.teradata.com/other-integrations/configure-a-teradata-vantage-connection-in-dbeaver.html[dbeaver] can be used for this purpose. - -[source, teradata-sql] ----- -CREATE AUTHORIZATION aws_authorization USER 'AWSAccessKey' PASSWORD 'AWSSecretAccessKey' ----- -NOTE: Replace `AWSAccessKey` and `AWSSecretAccessKey` with your AWS account https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html[access key] - == Configure Apache Airflow 1. Switch to virtual environment where Apache Airflow was installed at <> + @@ -125,7 +110,7 @@ image::{dir}/airflow-console-password.png[Airflow Password,align="left" width=75 Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/connections/teradata.html[Teradata Connection] for more details. == Define DAG in Apache Airflow -Dags in airflow are defined as python files. The dag below transfer CSV/JSON/Parquet data from Amazon S3 to Teradata Vantage instance.Copy the python code below and save it as `airflow-aws-to-teradata-transfer-operator-demo.py` under the directory $AIRFLOW_HOME/dags. +Dags in airflow are defined as python files. The dag below transfer data from Teradata-supplied public buckets to Teradata Vantage instance.Copy the python code below and save it as `airflow-aws-to-teradata-transfer-operator-demo.py` under the directory $AIRFLOW_HOME/dags. Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/operators/s3_to_teradata.html[S3ToTeradataOperator] for more information on `Amazon S3 to Teradata` Transfer Operator. @@ -158,10 +143,9 @@ with DAG( # Transfer data from S3 to Teradata Vantage instance transfer_data_csv = S3ToTeradataOperator( task_id="transfer_data_s3_to_teradata_csv", - s3_source_key="/s3/awstestquickstart.s3.amazonaws.com/", + s3_source_key="/s3/td-usgs-public.s3.amazonaws.com/CSVDATA/", teradata_table="example_s3_teradata_csv", teradata_conn_id="teradata_default", - teradata_authorization_name="aws_authorization", trigger_rule="always", ) # Get the number of records transferred from S3 to teradata table @@ -192,6 +176,35 @@ Run the dag as shown in the image below. image::{dir}/dag.png[Run dag,align="left" width=75%] +== Transfer data from Private Amazon S3 bucket to Teradata instance +To successfully transfer data from Private Amazon S3 bucket to a Teradata instance, the following prerequisites are necessary. + +* Access to an https://aws.amazon.com[Amazon AWS account] +* Create a https://docs.aws.amazon.com/AmazonS3/latest/userguide/creating-bucket.html[S3 bucket] +* https://docs.aws.amazon.com/AmazonS3/latest/userguide/uploading-an-object-bucket.html[Upload] CSV/JSON/Parquest format files to Private S3 bucket. +* https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html#Using_CreateAccessKey[Access Keys] to access AWS account +* Create Teradata Authorization object with AWS Account Key and Account Secret Key ++ +[source, teradata-sql] +---- +CREATE AUTHORIZATION aws_authorization USER 'AWSAccessKey' PASSWORD 'AWSSecretAccessKey' +---- +NOTE: Replace `AWSAccessKey` and `AWSSecretAccessKey` with your AWS account https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html[access key] +* Modify `blob_source_key` with YOUR-PRIVATE-OBJECT-STORE-URI in `transfer_data_csv` task and add `teradata_authorization_name` field with Teradata Authorization Object name ++ +[source, python] +---- +transfer_data_csv = S3ToTeradataOperator( + task_id="transfer_data_blob_to_teradata_csv", + s3_source_key="YOUR-OBJECT-STORE-URI", + teradata_table="example_blob_teradata_csv", + teradata_conn_id="teradata_default", + teradata_authorization_name="aws_authorization", + trigger_rule="always", + ) +---- + + == Summary This guide details the utilization of the Airflow Teradata Provider’s S3 Cloud Transfer Operator to seamlessly transfer CSV, JSON, and Parquet data from Amazon S3 to Teradata Vantage, facilitating streamlined data operations between these platforms. From 74a323c2e382a1938b0b21278a2035662895dd2b Mon Sep 17 00:00:00 2001 From: Satish Ch Date: Tue, 30 Jul 2024 18:03:12 +0530 Subject: [PATCH 3/9] public bucket true added --- .../pages/airflow-azure-to-teradata-transfer-operator-doc.adoc | 3 ++- .../pages/airflow-s3-to-teradata-transfer-operator-doc.adoc | 3 ++- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc b/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc index f00301b79..97dcb70d7 100644 --- a/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc +++ b/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc @@ -144,7 +144,8 @@ with DAG( # Transfer data from Azure blob storage to Teradata Vantage instance transfer_data_csv = AzureBlobStorageToTeradataOperator( task_id="transfer_data_blob_to_teradata_csv", - blob_source_key="/az/akiaxox5jikeotfww4ul.blob.core.windows.net/td-usgs/CSVDATA/", + blob_source_key="/az/akiaxox5jikeotfww4ul.blob.core.windows.net/td-usgs/CSVDATA/09380000/2018/06/", + public_bucket=True, teradata_table="example_blob_teradata_csv", teradata_conn_id="teradata_default", trigger_rule="always", diff --git a/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc b/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc index b1ab0f0a7..f622f93ec 100644 --- a/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc +++ b/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc @@ -143,7 +143,8 @@ with DAG( # Transfer data from S3 to Teradata Vantage instance transfer_data_csv = S3ToTeradataOperator( task_id="transfer_data_s3_to_teradata_csv", - s3_source_key="/s3/td-usgs-public.s3.amazonaws.com/CSVDATA/", + s3_source_key="/s3/td-usgs-public.s3.amazonaws.com/CSVDATA/09394500/2018/06/", + public_bucket=True, teradata_table="example_s3_teradata_csv", teradata_conn_id="teradata_default", trigger_rule="always", From e96214604e6b9f283b31861955f922fd2b2681a5 Mon Sep 17 00:00:00 2001 From: Daniel Herrera Date: Thu, 1 Aug 2024 14:40:09 +0200 Subject: [PATCH 4/9] docs: Update Azure Blob Storage to Teradata transfer operator documentation --- ...ure-to-teradata-transfer-operator-doc.adoc | 30 ++++++++------- ...-s3-to-teradata-transfer-operator-doc.adoc | 38 +++++++++++-------- 2 files changed, 39 insertions(+), 29 deletions(-) diff --git a/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc b/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc index 97dcb70d7..064591a3c 100644 --- a/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc +++ b/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc @@ -10,7 +10,7 @@ == Overview -This document provides instructions and guidance for transferring data in CSV, JSON and Parquet formats from Microsoft Azure Blob Storage to Teradata Vantage using the Airflow Teradata Provider's https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/operators/azure_blob_to_teradata.html[Azure Cloud Transfer Operator]. It outlines the setup, configuration and execution steps required to establish a seamless data transfer pipeline between these platforms. +This document provides instructions and guidance for transferring data in CSV, JSON and Parquet formats from Microsoft Azure Blob Storage to Teradata Vantage using the Airflow Teradata Provider https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/operators/azure_blob_to_teradata.html[Azure Cloud Transfer Operator]. It outlines the setup, configuration and execution steps required to establish a seamless data transfer pipeline between these platforms. NOTE: Use `https://learn.microsoft.com/en-us/windows/wsl/install[The Windows Subsystem for Linux (WSL)]` on `Windows` to try this quickstart example. @@ -43,7 +43,6 @@ brew install python Refer https://docs.python-guide.org/starting/install3/osx/[Installation Guide] if you face any issues. ==== - == Install Apache Airflow 1. Create a new python environment to manage airflow and its dependencies. Activate the environment. + @@ -58,7 +57,7 @@ pip install "apache-airflow==${AIRFLOW_VERSION}" --constraint "${CONSTRAINT_URL} ---- + -2. Install Apache Airflow Teradata provider package and Microsoft Azure provider package. +2. Install the Apache Airflow Teradata provider package and the Microsoft Azure provider package. + [source, bash] ---- @@ -72,21 +71,21 @@ export AIRFLOW_HOME=~/airflow ---- == Configure Apache Airflow -1. Switch to virtual environment where Apache Airflow was installed at <> +1. Switch to the virtual environment where Apache Airflow was installed at <> + [source, bash] ---- source airflow_env/bin/activate ---- -2. Configure the listed environment variables to activate the test connection button, preventing the loading of sample DAGs and default connections in Airflow UI. +2. Configure the listed environment variables to activate the test connection button, preventing the loading of sample DAGs and default connections in the Airflow UI. + [source, bash] export AIRFLOW__CORE__TEST_CONNECTION=Enabled export AIRFLOW__CORE__LOAD_EXAMPLES=false export AIRFLOW__CORE__LOAD_DEFAULT_CONNECTIONS=false -== Start Apache Airflow web server -1. Run airflow web server +== Start the Apache Airflow web server +1. Run airflow's web server + [source, bash] ---- @@ -96,11 +95,11 @@ airflow standalone + image::{dir}/airflow-console-password.png[Airflow Password,align="left" width=75%] -== Define Apache Airflow connection to Vantage +== Define the Apache Airflow connection to Vantage 1. Click on Admin - Connections -2. Click on + to define new connection to Teradata Vantage instance. -3. Define new connection with id `teradata_default` with Teradata Vantage instance details. +2. Click on + to define a new connection to a Teradata Vantage instance. +3. Assign the new connection the id `teradata_default` with Teradata Vantage instance details. * Connection Id: teradata_default * Connection Type: Teradata * Database Server URL (required): Teradata Vantage instance hostname to connect to. @@ -111,8 +110,13 @@ image::{dir}/airflow-console-password.png[Airflow Password,align="left" width=75 Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/connections/teradata.html[Teradata Connection] for more details. == Define DAG in Apache Airflow -Dags in airflow are defined as python files. The dag below transfer CSV data from Teradata-supplied public blob containers to Teradata Vantage instance.Copy the python code below and save it as `airflow-azure-to-teradata-transfer-operator-demo.py` under the directory $AIRFLOW_HOME/dags. +DAGs in airflow are defined as python files. The DAG below transfers data from Teradata-supplied public blob containers to a Teradata Vantage instance. Copy the python code below and save it as `airflow-azure-to-teradata-transfer-operator-demo.py` under the directory $AIRFLOW_HOME/dags. +This DAG is a very simple example that covers: +- Droping the destination table if it exists +- Transfer of the data stored in object storage +- Get the number of transferred records +- Write the number of transferred records to the log Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/_api/airflow/providers/teradata/transfers/azure_blob_to_teradata/index.html[AzureBlobStorageToTeradataOperator] for more information on `Azure Blob Storage to Teradata` Transfer Operator. [source, python] @@ -170,7 +174,7 @@ with DAG( == Load DAG -When the dag file is copied to $AIRFLOW_HOME/dags, Apache Airflow displays the dag in UI under DAGs section. It will take 2 to 3 minutes to load DAG in Apache Airflow UI. +When the DAG file is copied to $AIRFLOW_HOME/dags, Apache Airflow displays the DAG in the UI under the DAGs section. It will take 2 to 3 minutes to load the DAG in the Apache Airflow UI. == Run DAG @@ -185,7 +189,7 @@ To successfully transfer data from a Private Blob Storage Container to a Teradat * Create an https://docs.microsoft.com/en-us/azure/storage/common/storage-quickstart-create-account?tabs=azure-portal[Azure storage account] * Create a https://learn.microsoft.com/en-us/azure/storage/blobs/blob-containers-portal[blob container] under Azure storage account * https://learn.microsoft.com/en-us/azure/storage/blobs/storage-quickstart-blobs-portal[Upload] CSV/JSON/Parquest format files to blob container -* Create Teradata Authorization object with Azure Blob Storage Account and Account Secret Key +* Create a Teradata Authorization object with the Azure Blob Storage Account and the Account Secret Key + [source, teradata-sql] ---- diff --git a/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc b/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc index f622f93ec..9c463233b 100644 --- a/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc +++ b/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc @@ -10,7 +10,7 @@ == Overview -This document provides instructions and guidance for transferring data in CSV, JSON and Parquet formats from Amazon S3 to Teradata Vantage using the Airflow Teradata Provider's https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/operators/s3_to_teradata.html[S3 Cloud Transfer Operator]. It outlines the setup, configuration and execution steps required to establish a seamless data transfer pipeline between these platforms. +This document provides instructions and guidance for transferring data in CSV, JSON and Parquet formats from Amazon S3 to Teradata Vantage using the Airflow Teradata Provider https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/operators/s3_to_teradata.html[S3 Cloud Transfer Operator]. It outlines the setup, configuration and execution steps required to establish a seamless data transfer pipeline between these platforms. NOTE: Use `https://learn.microsoft.com/en-us/windows/wsl/install[The Windows Subsystem for Linux (WSL)]` on `Windows` to try this quickstart example. @@ -57,7 +57,7 @@ pip install "apache-airflow==${AIRFLOW_VERSION}" --constraint "${CONSTRAINT_URL} ---- + -2. Install Apache Airflow Teradata provider package and Amazon provider package. +2. Install the Apache Airflow Teradata provider package and the Amazon provider package. + [source, bash] ---- @@ -71,21 +71,21 @@ export AIRFLOW_HOME=~/airflow ---- == Configure Apache Airflow -1. Switch to virtual environment where Apache Airflow was installed at <> +1. Switch to the virtual environment where Apache Airflow was installed at <> + [source, bash] ---- source airflow_env/bin/activate ---- -2. Configure the listed environment variables to activate the test connection button, preventing the loading of sample DAGs and default connections in Airflow UI. +2. Configure the listed environment variables to activate the test connection button, preventing the loading of sample DAGs and default connections in the Airflow UI. + [source, bash] export AIRFLOW__CORE__TEST_CONNECTION=Enabled export AIRFLOW__CORE__LOAD_EXAMPLES=false export AIRFLOW__CORE__LOAD_DEFAULT_CONNECTIONS=false -== Start Apache Airflow web server -1. Run airflow web server +== Start the Apache Airflow web server +1. Run airflow's web server + [source, bash] ---- @@ -95,11 +95,11 @@ airflow standalone + image::{dir}/airflow-console-password.png[Airflow Password,align="left" width=75%] -== Define Apache Airflow connection to Vantage +== Define the Apache Airflow connection to Vantage 1. Click on Admin - Connections -2. Click on + to define new connection to Teradata Vantage instance. -3. Define new connection with id `teradata_default` with Teradata Vantage instance details. +2. Click on + to define a new connection to a Teradata Vantage instance. +3. Assign the new connection the id `teradata_default` with Teradata Vantage instance details. * Connection Id: teradata_default * Connection Type: Teradata * Database Server URL (required): Teradata Vantage instance hostname to connect to. @@ -110,7 +110,13 @@ image::{dir}/airflow-console-password.png[Airflow Password,align="left" width=75 Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/connections/teradata.html[Teradata Connection] for more details. == Define DAG in Apache Airflow -Dags in airflow are defined as python files. The dag below transfer data from Teradata-supplied public buckets to Teradata Vantage instance.Copy the python code below and save it as `airflow-aws-to-teradata-transfer-operator-demo.py` under the directory $AIRFLOW_HOME/dags. +DAGs in airflow are defined as python files. The DAG below transfers data from Teradata-supplied public buckets to a Teradata Vantage instance. Copy the python code below and save it as `airflow-aws-to-teradata-transfer-operator-demo.py` under the directory $AIRFLOW_HOME/DAGs. + +This DAG is a very simple example that covers: +- Droping the destination table if it exists +- Transfer of the data stored in object storage +- Get the number of transferred records +- Write the number of transferred records to the log Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/operators/s3_to_teradata.html[S3ToTeradataOperator] for more information on `Amazon S3 to Teradata` Transfer Operator. @@ -169,22 +175,22 @@ with DAG( == Load DAG -When the dag file is copied to $AIRFLOW_HOME/dags, Apache Airflow displays the dag in UI under DAGs section. It will take 2 to 3 minutes to load DAG in Apache Airflow UI. +When the DAG file is copied to $AIRFLOW_HOME/dags, Apache Airflow displays the DAG in the UI under the DAGs section. It will take 2 to 3 minutes to load the DAG in the Apache Airflow UI. == Run DAG -Run the dag as shown in the image below. +Run the DAG as shown in the image below. -image::{dir}/dag.png[Run dag,align="left" width=75%] +image::{dir}/DAG.png[Run DAG,align="left" width=75%] == Transfer data from Private Amazon S3 bucket to Teradata instance -To successfully transfer data from Private Amazon S3 bucket to a Teradata instance, the following prerequisites are necessary. +To successfully transfer data from a Private Amazon S3 bucket to a Teradata instance, the following prerequisites are necessary. * Access to an https://aws.amazon.com[Amazon AWS account] * Create a https://docs.aws.amazon.com/AmazonS3/latest/userguide/creating-bucket.html[S3 bucket] * https://docs.aws.amazon.com/AmazonS3/latest/userguide/uploading-an-object-bucket.html[Upload] CSV/JSON/Parquest format files to Private S3 bucket. * https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html#Using_CreateAccessKey[Access Keys] to access AWS account -* Create Teradata Authorization object with AWS Account Key and Account Secret Key +* Create a Teradata Authorization object with the AWS Account Key and the Account Secret Key + [source, teradata-sql] ---- @@ -210,7 +216,7 @@ transfer_data_csv = S3ToTeradataOperator( This guide details the utilization of the Airflow Teradata Provider’s S3 Cloud Transfer Operator to seamlessly transfer CSV, JSON, and Parquet data from Amazon S3 to Teradata Vantage, facilitating streamlined data operations between these platforms. == Further reading -* link:https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/dags.html[Apache Airflow DAGs reference] +* link:https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/DAGs.html[Apache Airflow DAGs reference] * link:https://docs.teradata.com/r/Enterprise_IntelliFlex_VMware/SQL-Data-Definition-Language-Syntax-and-Examples/Authorization-Statements-for-External-Routines/CREATE-AUTHORIZATION-and-REPLACE-AUTHORIZATION[Teradata Authorization] * link:https://learn.microsoft.com/en-us/windows/wsl/install[Install WSL on windows] From 23109d9374a6d07aa2ec49dab7c714eb45e0c65c Mon Sep 17 00:00:00 2001 From: Daniel Herrera Date: Thu, 1 Aug 2024 14:52:17 +0200 Subject: [PATCH 5/9] docs: Update Azure Blob Storage to Teradata transfer operator documentation --- ...flow-azure-to-teradata-transfer-operator-doc.adoc | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc b/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc index 064591a3c..9294b7e00 100644 --- a/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc +++ b/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc @@ -10,7 +10,7 @@ == Overview -This document provides instructions and guidance for transferring data in CSV, JSON and Parquet formats from Microsoft Azure Blob Storage to Teradata Vantage using the Airflow Teradata Provider https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/operators/azure_blob_to_teradata.html[Azure Cloud Transfer Operator]. It outlines the setup, configuration and execution steps required to establish a seamless data transfer pipeline between these platforms. +This document provides instructions and guidance for transferring data in CSV, JSON and Parquet formats from Microsoft Azure Blob Storage to Teradata Vantage using the Airflow Teradata Provider and the https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/operators/azure_blob_to_teradata.html[Azure Cloud Transfer Operator]. It outlines the setup, configuration and execution steps required to establish a seamless data transfer pipeline between these platforms. NOTE: Use `https://learn.microsoft.com/en-us/windows/wsl/install[The Windows Subsystem for Linux (WSL)]` on `Windows` to try this quickstart example. @@ -113,11 +113,11 @@ Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/c DAGs in airflow are defined as python files. The DAG below transfers data from Teradata-supplied public blob containers to a Teradata Vantage instance. Copy the python code below and save it as `airflow-azure-to-teradata-transfer-operator-demo.py` under the directory $AIRFLOW_HOME/dags. This DAG is a very simple example that covers: -- Droping the destination table if it exists -- Transfer of the data stored in object storage -- Get the number of transferred records -- Write the number of transferred records to the log -Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/_api/airflow/providers/teradata/transfers/azure_blob_to_teradata/index.html[AzureBlobStorageToTeradataOperator] for more information on `Azure Blob Storage to Teradata` Transfer Operator. +* Droping the destination table if it exists +* Transfer of the data stored in object storage +* Get the number of transferred records +* Write the number of transferred records to the log +Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/_api/airflow/providers/teradata/transfers/azure_blob_to_teradata/index.html[Azure Blob Storage To Teradata Operator] for more information on `Azure Blob Storage to Teradata` Transfer Operator. [source, python] ---- From ecea3fc0168ab6fb421f236cf24ae966bb61be87 Mon Sep 17 00:00:00 2001 From: Daniel Herrera Date: Thu, 1 Aug 2024 14:57:28 +0200 Subject: [PATCH 6/9] docs: Update Azure Blob Storage to Teradata transfer operator documentation --- ...low-azure-to-teradata-transfer-operator-doc.adoc | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc b/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc index 9294b7e00..9ae48262e 100644 --- a/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc +++ b/modules/airflow/pages/airflow-azure-to-teradata-transfer-operator-doc.adoc @@ -113,10 +113,15 @@ Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/c DAGs in airflow are defined as python files. The DAG below transfers data from Teradata-supplied public blob containers to a Teradata Vantage instance. Copy the python code below and save it as `airflow-azure-to-teradata-transfer-operator-demo.py` under the directory $AIRFLOW_HOME/dags. This DAG is a very simple example that covers: -* Droping the destination table if it exists -* Transfer of the data stored in object storage -* Get the number of transferred records -* Write the number of transferred records to the log + +- Droping the destination table if it exists + +- Transfer of the data stored in object storage + +- Get the number of transferred records + +- Write the number of transferred records to the log + Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/_api/airflow/providers/teradata/transfers/azure_blob_to_teradata/index.html[Azure Blob Storage To Teradata Operator] for more information on `Azure Blob Storage to Teradata` Transfer Operator. [source, python] From 722170e6c291420af17206f49375e8cea159b4e4 Mon Sep 17 00:00:00 2001 From: Daniel Herrera Date: Thu, 1 Aug 2024 15:05:45 +0200 Subject: [PATCH 7/9] docs: Update Azure Blob Storage to Teradata transfer operator documentation --- .../pages/airflow-s3-to-teradata-transfer-operator-doc.adoc | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc b/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc index 9c463233b..d6a2f2bd2 100644 --- a/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc +++ b/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc @@ -10,7 +10,7 @@ == Overview -This document provides instructions and guidance for transferring data in CSV, JSON and Parquet formats from Amazon S3 to Teradata Vantage using the Airflow Teradata Provider https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/operators/s3_to_teradata.html[S3 Cloud Transfer Operator]. It outlines the setup, configuration and execution steps required to establish a seamless data transfer pipeline between these platforms. +This document provides instructions and guidance for transferring data in CSV, JSON and Parquet formats from Amazon S3 to Teradata Vantage using the Airflow Teradata Provider and the https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/operators/s3_to_teradata.html[S3 Cloud Transfer Operator]. It outlines the setup, configuration and execution steps required to establish a seamless data transfer pipeline between these platforms. NOTE: Use `https://learn.microsoft.com/en-us/windows/wsl/install[The Windows Subsystem for Linux (WSL)]` on `Windows` to try this quickstart example. @@ -113,9 +113,13 @@ Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/c DAGs in airflow are defined as python files. The DAG below transfers data from Teradata-supplied public buckets to a Teradata Vantage instance. Copy the python code below and save it as `airflow-aws-to-teradata-transfer-operator-demo.py` under the directory $AIRFLOW_HOME/DAGs. This DAG is a very simple example that covers: + - Droping the destination table if it exists + - Transfer of the data stored in object storage + - Get the number of transferred records + - Write the number of transferred records to the log Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/operators/s3_to_teradata.html[S3ToTeradataOperator] for more information on `Amazon S3 to Teradata` Transfer Operator. From 52239addfaeee07c73281a4fa5ed037fd00dcbd7 Mon Sep 17 00:00:00 2001 From: Daniel Herrera Date: Thu, 1 Aug 2024 15:10:03 +0200 Subject: [PATCH 8/9] docs: Update Azure Blob Storage to Teradata transfer operator documentation --- .../pages/airflow-s3-to-teradata-transfer-operator-doc.adoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc b/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc index d6a2f2bd2..39f7c787d 100644 --- a/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc +++ b/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc @@ -122,7 +122,7 @@ This DAG is a very simple example that covers: - Write the number of transferred records to the log -Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/operators/s3_to_teradata.html[S3ToTeradataOperator] for more information on `Amazon S3 to Teradata` Transfer Operator. +Refer https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/operators/s3_to_teradata.html[S3 To Teradata Operator] for more information on `Amazon S3 to Teradata` Transfer Operator. [source, python] ---- From 57626679bf596cea2362ad138c8d293e4d9a763a Mon Sep 17 00:00:00 2001 From: Daniel Herrera Date: Thu, 1 Aug 2024 15:16:41 +0200 Subject: [PATCH 9/9] docs: Update Azure Blob Storage to Teradata transfer operator documentation --- .../pages/airflow-s3-to-teradata-transfer-operator-doc.adoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc b/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc index 39f7c787d..e02e2668e 100644 --- a/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc +++ b/modules/airflow/pages/airflow-s3-to-teradata-transfer-operator-doc.adoc @@ -185,7 +185,7 @@ When the DAG file is copied to $AIRFLOW_HOME/dags, Apache Airflow displays the D Run the DAG as shown in the image below. -image::{dir}/DAG.png[Run DAG,align="left" width=75%] +image::{dir}/dag.png[Run DAG,align="left" width=75%] == Transfer data from Private Amazon S3 bucket to Teradata instance To successfully transfer data from a Private Amazon S3 bucket to a Teradata instance, the following prerequisites are necessary.