From 6b1c7b0eb7bd1a8c888aa6bc88ed3c67244f964a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=C3=82ngelo=20Jos=C3=A9=20da=20Rosa?= Date: Fri, 28 Jun 2024 17:02:32 -0300 Subject: [PATCH] . --- database_base/database.sql | 2 +- database_dimensional/database.sql | 8 +- docker-compose.yml | 203 ++++++++++++++++++ sandbox/dags/__init__.py | 0 .../dags/__pycache__/get_dag.cpython-312.pyc | Bin 0 -> 4280 bytes .../__pycache__/hello_dag.cpython-312.pyc | Bin 0 -> 576 bytes .../test_hello_spark.cpython-312.pyc | Bin 0 -> 1223 bytes sandbox/dags/get_dag.py | 138 ++++++++++++ sandbox/dags/test_hello_spark.py | 40 ++++ .../Untitled-checkpoint.ipynb | 35 +++ sandbox/notebooks/Untitled.ipynb | 144 +++++++++++++ sandbox/spark/app/bronze-spark.py | 55 +++++ sandbox/spark/libs/jbcpostgres.jar | Bin 0 -> 1089312 bytes 13 files changed, 623 insertions(+), 2 deletions(-) create mode 100644 docker-compose.yml create mode 100644 sandbox/dags/__init__.py create mode 100644 sandbox/dags/__pycache__/get_dag.cpython-312.pyc create mode 100644 sandbox/dags/__pycache__/hello_dag.cpython-312.pyc create mode 100644 sandbox/dags/__pycache__/test_hello_spark.cpython-312.pyc create mode 100644 sandbox/dags/get_dag.py create mode 100644 sandbox/dags/test_hello_spark.py create mode 100644 sandbox/notebooks/.ipynb_checkpoints/Untitled-checkpoint.ipynb create mode 100644 sandbox/notebooks/Untitled.ipynb create mode 100644 sandbox/spark/app/bronze-spark.py create mode 100644 sandbox/spark/libs/jbcpostgres.jar diff --git a/database_base/database.sql b/database_base/database.sql index 1e57f3f..9025466 100644 --- a/database_base/database.sql +++ b/database_base/database.sql @@ -130666,7 +130666,7 @@ create view VW_ORDERS_ETL as select c.id as category_id, c."name" as category_name from - orders o + public.orders o inner join users u on u.id = o.client_id and u."type" = 'CLIENT' diff --git a/database_dimensional/database.sql b/database_dimensional/database.sql index 78d43de..e25d5ab 100644 --- a/database_dimensional/database.sql +++ b/database_dimensional/database.sql @@ -17,16 +17,22 @@ CREATE TABLE dim_product_category( "name" VARCHAR NOT NULL ); +create table dim_seller ( +seller_id INT primary key, +"name" varchar not null +); + CREATE TABLE fact_order( dim_client_id INT NOT NULL, dim_address_id INT NOT NULL, dim_category_product_id INT NOT NULL, + dim_seller_id INT NOT NULL, order_id INT NOT NULL, price FLOAT NOT NULL, payment_method VARCHAR NOT NULL, "status" VARCHAR NOT NULL, created_at TIMESTAMP NOT NULL, - PRIMARY KEY (dim_client_id,dim_address_id,dim_category_product_id,order_id), + PRIMARY KEY (dim_client_id,dim_address_id,dim_category_product_id,dim_seller_id,order_id), CONSTRAINT fk_dim_client FOREIGN KEY (dim_client_id) REFERENCES dim_client (client_id), CONSTRAINT fk_dim_address FOREIGN KEY (dim_address_id) REFERENCES dim_address (address_id), CONSTRAINT fk_dim_category_product FOREIGN KEY (dim_category_product_id) REFERENCES dim_product_category (category_id) diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 0000000..b593f96 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,203 @@ +# Verify volumes +version: "3.8" +x-airflow-common: + &airflow-common + build: ./ + networks: + - default_net + environment: + - AIRFLOW__CORE__EXECUTOR=LocalExecutor + - AIRFLOW__DATABASE__SQL_ALCHEMY_CONN=postgresql+psycopg2://airflow:airflow@postgres:5432/airflow + - AIRFLOW__CORE__FERNET_KEY=FB0o_zt4e3Ziq3LdUUO7F2Z95cvFFx16hU8jTeR1ASM= + - AIRFLOW__CORE__LOAD_EXAMPLES=False + - AIRFLOW__LOGGING__LOGGING_LEVEL=INFO + volumes: + - ./sandbox/dags:/opt/airflow/dags # DAGs folder + - ./sandbox/spark/app:/usr/local/spark/app # Spark Scripts (same path in airflow and spark) + - ./sandbox/spark/resources:/usr/local/spark/resources # Spark Resources (same path in airflow and spark) + - ./airflow-data/logs:/opt/airflow/logs + - ./airflow-data/plugins:/opt/airflow/plugins + - ./airflow-data/airflow.cfg:/opt/airlfow/airflow.cfg + - ./sandbox/spark/libs:/usr/local/custom/libs # Resources (same path in airflow and spark) + depends_on: + - postgres + + +services: + # Postgres used by Airflow + postgres: + image: postgres:latest + networks: + - default_net + environment: + - POSTGRES_USER=airflow + - POSTGRES_PASSWORD=airflow + - POSTGRES_DB=airflow + ports: + - "5432:5432" + database_base: + image: postgres:latest + container_name: database_base + networks: + - default_net + volumes: + - ./database_base/database.sql:/docker-entrypoint-initdb.d/database.sql + environment: + - POSTGRES_PASSWORD=pass@ + ports: + - "5436:5432" + database_dimensional: + image: postgres + container_name: database_dimensional + networks: + - default_net + volumes: + - ./database_dimensional/database.sql:/docker-entrypoint-initdb.d/database.sql + environment: + - POSTGRES_PASSWORD=pass@ + ports: + - "5438:5432" + airflow-init: + << : *airflow-common + container_name: airflow_init + entrypoint: /bin/bash + command: + - -c + - airflow db init && + airflow users create + --role Admin + --username airflow + --password airflow + --email airflow@airflow.com + --firstname airflow + --lastname airflow + restart: on-failure + + airflow-webserver: + << : *airflow-common + command: airflow webserver + depends_on: + - airflow-init + ports: + - 8080:8080 + container_name: airflow_webserver + networks: + - default_net + restart: always + + airflow-scheduler: + << : *airflow-common + command: airflow scheduler + depends_on: + - airflow-init + container_name: airflow_scheduler + restart: always + networks: + - default_net + + + # Spark with N workers + spark-master: + image: bitnami/spark:latest + #user: root # Run container as root container: https://docs.bitnami.com/tutorials/work-with-non-root-containers/ + hostname: spark + networks: + - default_net + environment: + - SPARK_MODE=master + - SPARK_RPC_AUTHENTICATION_ENABLED=no + - SPARK_RPC_ENCRYPTION_ENABLED=no + - SPARK_DRIVER_MEMORY=3G + - SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no + - SPARK_SSL_ENABLED=no + volumes: + - ./sandbox/spark/app:/usr/local/spark/app # Scripts (same path in airflow and spark) + - ./sandbox/spark/resources:/usr/local/spark/resources # Resources (same path in airflow and spark) + - ./sandbox/spark/libs:/usr/local/custom/libs # Resources (same path in airflow and spark) + ports: + - "8081:8080" + - "7077:7077" + + spark-worker: + image: bitnami/spark:latest + #user: root + networks: + - default_net + environment: + - SPARK_MODE=worker + - SPARK_MASTER_URL=spark://spark:7077 + - SPARK_WORKER_MEMORY=3G + - SPARK_WORKER_CORES=2 + - SPARK_RPC_AUTHENTICATION_ENABLED=no + - SPARK_RPC_ENCRYPTION_ENABLED=no + - SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no + - SPARK_SSL_ENABLED=no + volumes: + - ./sandbox/spark/app:/usr/local/spark/app # Scripts (same path in airflow and spark) + - ./sandbox/spark/resources:/usr/local/spark/resources # Resources (same path in airflow and spark) + - ./sandbox/spark/libs:/usr/local/custom/libs # Resources (same path in airflow and spark) + + spark-worker2: + image: bitnami/spark:latest + #user: root + networks: + - default_net + environment: + - SPARK_MODE=worker + - SPARK_MASTER_URL=spark://spark:7077 + - SPARK_WORKER_MEMORY=3G + - SPARK_WORKER_CORES=2 + - SPARK_RPC_AUTHENTICATION_ENABLED=no + - SPARK_RPC_ENCRYPTION_ENABLED=no + - SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no + - SPARK_SSL_ENABLED=no + volumes: + - ./sandbox/spark/app:/usr/local/spark/app # Scripts (same path in airflow and spark) + - ./sandbox/spark/resources:/usr/local/spark/resources # Resources (same path in airflow and spark) + - ./sandbox/spark/libs:/usr/local/custom/libs # Resources (same path in airflow and spark) + + spark-worker3: + image: bitnami/spark:latest + #user: root + networks: + - default_net + environment: + - SPARK_MODE=worker + - SPARK_MASTER_URL=spark://spark:7077 + - SPARK_WORKER_MEMORY=3G + - SPARK_WORKER_CORES=2 + - SPARK_RPC_AUTHENTICATION_ENABLED=no + - SPARK_RPC_ENCRYPTION_ENABLED=no + - SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no + - SPARK_SSL_ENABLED=no + volumes: + - ./sandbox/spark/app:/usr/local/spark/app # Scripts (same path in airflow and spark) + - ./sandbox/spark/resources:/usr/local/spark/resources # Resources (same path in airflow and spark) + - ./sandbox/spark/libs:/usr/local/custom/libs # Resources (same path in airflow and spark) + + # Jupyter Notebooks + jupyter-pyspark: + image: bitnami/spark:latest # pyspark + #image: jupyter/all-spark-notebook:spark-3.2.1 # scala + #image: jupyter/datascience-notebook:latest # julia + networks: + - default_net + ports: + - "8888:8888" + volumes: + - ./sandbox/notebooks:/home/jovyan/work/notebooks/ + minio: + image: minio/minio + container_name: minio1 + networks: + - default_net + ports: + - "9000:9000" + - "9001:9001" + environment: + MINIO_ROOT_USER: minio + MINIO_ROOT_PASSWORD: minio123 + command: server /data --console-address ":9001" + 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0 HcmV?d00001 diff --git a/sandbox/dags/get_dag.py b/sandbox/dags/get_dag.py new file mode 100644 index 0000000..a194a08 --- /dev/null +++ b/sandbox/dags/get_dag.py @@ -0,0 +1,138 @@ +from airflow.models import DAG +from airflow.operators.python_operator import PythonOperator +from airflow.utils.dates import days_ago +from airflow.providers.postgres.hooks.postgres import PostgresHook +from airflow.contrib.operators.spark_submit_operator import SparkSubmitOperator +from airflow.hooks.base import BaseHook + + +minio = BaseHook.get_connection('minio') + + + +def get_data(): + pg_hook = PostgresHook.get_hook('postgres_database_base') + connection = pg_hook.get_conn() + cursor = connection.cursor() + cursor.execute("select COUNT(1) from vw_orders_etl") + countData = cursor.fetchall() + count = int(countData[0][0]) + countDataValue = 0 + countName = 1 + while(countDataValue != count): + pg_hook.copy_expert("COPY (SELECT * FROM VW_ORDERS_ETL LIMIT 1000 offset " + str(countDataValue) + ") TO STDOUT WITH CSV HEADER", filename="/usr/local/spark/resources/orders/order" + str(countName) + ".csv") + countDataValue += 1000 + countName += 1 + +args = { + 'owner': 'Airflow', +} + +with DAG( + dag_id='etl', + default_args=args, + schedule_interval=None, + start_date=days_ago(2), + tags=['ETL'], +) as dag: + + get_data_dag = PythonOperator( + task_id='etl_get_data', + provide_context=True, + python_callable=get_data, + dag=dag, + ) + + leading_dag = SparkSubmitOperator( + task_id="etl_leading", + application="/usr/local/spark/app/leading-spark.py", + name='ETL Spark Leading', + conn_id="spark_default", + verbose=1, + application_args=[str(25)], + conf={ + "spark.master":'spark://spark:7077', + "spark.hadoop.fs.s3a.endpoint": minio.host, + "spark.hadoop.fs.s3a.access.key": minio.login, + "spark.hadoop.fs.s3a.secret.key": minio.password, + "spark.hadoop.fs.s3a.path.style.access": 'true', + "spark.driver.memory": "5g", + "spark.executor.memory": "3g", + "spark.yarn.am.memory": "1g", + "spark.hadoop.fs.s3a.impl": "org.apache.hadoop.fs.s3a.S3AFileSystem" + }, + packages="org.apache.hadoop:hadoop-aws:3.3.4,com.amazonaws:aws-java-sdk-bundle:1.12.262", + dag=dag + ) + + bronze_dag = SparkSubmitOperator( + task_id="etl_bronze", + application="/usr/local/spark/app/bronze-spark.py", + name='ETL Spark Bronze', + conn_id="spark_default", + verbose=1, + conf={ + "spark.master":'spark://spark:7077', + "spark.hadoop.fs.s3a.endpoint": minio.host, + "spark.hadoop.fs.s3a.access.key": minio.login, + "spark.hadoop.fs.s3a.secret.key": minio.password, + "spark.hadoop.fs.s3a.path.style.access": 'true', + "spark.driver.memory": "5g", + "spark.executor.memory": "3g", + "spark.yarn.am.memory": "1g", + "spark.sql.extensions": "io.delta.sql.DeltaSparkSessionExtension", + "spark.sql.catalog.spark_catalog": "org.apache.spark.sql.delta.catalog.DeltaCatalog", + "spark.hadoop.fs.s3a.impl": "org.apache.hadoop.fs.s3a.S3AFileSystem" + }, + packages="org.apache.hadoop:hadoop-aws:3.3.4,com.amazonaws:aws-java-sdk-bundle:1.12.262,io.delta:delta-spark_2.12:3.2.0", + dag=dag + ) + + silver_dag = SparkSubmitOperator( + task_id="etl_silver", + application="/usr/local/spark/app/silver-spark.py", + name='ETL Spark Silver', + conn_id="spark_default", + verbose=1, + conf={ + "spark.master":'spark://spark:7077', + "spark.hadoop.fs.s3a.endpoint": minio.host, + "spark.hadoop.fs.s3a.access.key": minio.login, + "spark.hadoop.fs.s3a.secret.key": minio.password, + "spark.hadoop.fs.s3a.path.style.access": 'true', + "spark.driver.memory": "5g", + "spark.executor.memory": "3g", + "spark.yarn.am.memory": "1g", + "spark.sql.extensions": "io.delta.sql.DeltaSparkSessionExtension", + "spark.sql.catalog.spark_catalog": "org.apache.spark.sql.delta.catalog.DeltaCatalog", + "spark.hadoop.fs.s3a.impl": "org.apache.hadoop.fs.s3a.S3AFileSystem" + }, + packages="org.apache.hadoop:hadoop-aws:3.3.4,com.amazonaws:aws-java-sdk-bundle:1.12.262,io.delta:delta-spark_2.12:3.2.0", + dag=dag + ) + + gold_dag = SparkSubmitOperator( + task_id="etl_gold", + application="/usr/local/spark/app/gold-spark.py", + name='ETL Spark Gold', + conn_id="spark_default", + verbose=1, + conf={ + "spark.master":'spark://spark:7077', + "spark.hadoop.fs.s3a.endpoint": minio.host, + "spark.hadoop.fs.s3a.access.key": minio.login, + "spark.hadoop.fs.s3a.secret.key": minio.password, + "spark.hadoop.fs.s3a.path.style.access": 'true', + "spark.driver.memory": "5g", + "spark.executor.memory": "3g", + "spark.yarn.am.memory": "1g", + "spark.sql.extensions": "io.delta.sql.DeltaSparkSessionExtension", + "spark.sql.catalog.spark_catalog": "org.apache.spark.sql.delta.catalog.DeltaCatalog", + "spark.hadoop.fs.s3a.impl": "org.apache.hadoop.fs.s3a.S3AFileSystem" + }, + packages="org.apache.hadoop:hadoop-aws:3.3.4,com.amazonaws:aws-java-sdk-bundle:1.12.262,io.delta:delta-spark_2.12:3.2.0,org.postgresql:postgresql:42.2.20", + dag=dag + ) + + get_data_dag >> leading_dag >> bronze_dag >> silver_dag >> gold_dag + \ No newline at end of file diff --git a/sandbox/dags/test_hello_spark.py b/sandbox/dags/test_hello_spark.py new file mode 100644 index 0000000..d7693a4 --- /dev/null +++ b/sandbox/dags/test_hello_spark.py @@ -0,0 +1,40 @@ +from airflow.models import DAG +from airflow.operators.dummy_operator import DummyOperator +from airflow.contrib.operators.spark_submit_operator import SparkSubmitOperator +from airflow.utils.dates import days_ago + + +spark_master = "spark://spark:7077" +spark_app_name = "Spark Hello World" +file_path = "/usr/local/spark/resources/data/test.csv" + +args = { + 'owner': 'Airflow', +} + + +with DAG( + dag_id='test_spark_submit_operator', + default_args=args, + schedule_interval=None, + start_date=days_ago(2), + tags=['test'], +) as dag: + + start = DummyOperator(task_id="start", dag=dag) + + spark_job = SparkSubmitOperator( + task_id="spark_job", + application="/usr/local/spark/app/hello-world-spark.py", + name=spark_app_name, + conn_id="spark_default", + verbose=1, + conf={"spark.master":spark_master}, + application_args=[file_path], + dag=dag + ) + + end = DummyOperator(task_id="end", dag=dag) + + start >> spark_job >> end + \ No newline at end of file diff --git a/sandbox/notebooks/.ipynb_checkpoints/Untitled-checkpoint.ipynb b/sandbox/notebooks/.ipynb_checkpoints/Untitled-checkpoint.ipynb new file mode 100644 index 0000000..954a245 --- /dev/null +++ b/sandbox/notebooks/.ipynb_checkpoints/Untitled-checkpoint.ipynb @@ -0,0 +1,35 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "85fdb364-89b7-4b8e-b462-e9c574292f42", + "metadata": {}, + "outputs": [], + "source": [ + "print('HELP')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/sandbox/notebooks/Untitled.ipynb b/sandbox/notebooks/Untitled.ipynb new file mode 100644 index 0000000..3b24e85 --- /dev/null +++ b/sandbox/notebooks/Untitled.ipynb @@ -0,0 +1,144 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "e6822cdf-9e3d-41a9-8fe9-32f910b0d940", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting s3fs\n", + " Downloading s3fs-2024.6.0-py3-none-any.whl (29 kB)\n", + "Collecting aiobotocore<3.0.0,>=2.5.4\n", + " Downloading aiobotocore-2.13.0-py3-none-any.whl (76 kB)\n", + "\u001b[2K 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installation: fsspec 2022.5.0\n", + " Uninstalling fsspec-2022.5.0:\n", + " Successfully uninstalled fsspec-2022.5.0\n", + "Successfully installed aiobotocore-2.13.0 aiohttp-3.9.5 aioitertools-0.11.0 aiosignal-1.3.1 async-timeout-4.0.3 botocore-1.34.106 frozenlist-1.4.1 fsspec-2024.6.0 jmespath-1.0.1 multidict-6.0.5 s3fs-2024.6.0 wrapt-1.16.0 yarl-1.9.4\n" + ] + } + ], + "source": [ + "!pip install s3fs" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "85fdb364-89b7-4b8e-b462-e9c574292f42", + "metadata": {}, + "outputs": [], + "source": [ + "import requests\n", + "import json\n", + "import os\n", + "import s3fs\n", + "import pyspark\n", + "from pyspark.sql import SparkSession\n", + "from pyspark import SparkContext\n", + "import pyspark.sql.functions as F" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "5fa55b7d-5f6a-4381-a9d3-e1657eaee285", + "metadata": {}, + "outputs": [], + "source": [ + "# Define environment variables\n", + "os.environ[\"MINIO_KEY\"] = \"minio\"\n", + "os.environ[\"MINIO_SECRET\"] = \"minio123\"\n", + "os.environ[\"MINIO_ENDPOINT\"] = \"http://minio1:9000\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "51a3d6af-6b59-4e57-9fd2-c462b2bf55d5", + "metadata": {}, + "outputs": [], + "source": [ + "spark = SparkSession.builder \\\n", + " .appName(\"country_data_analysis\") \\\n", + " .config(\"spark.jars.packages\", \"org.apache.hadoop:hadoop-aws:3.3.4,com.amazonaws:aws-java-sdk-bundle:1.11.1026\") \\\n", + " .config(\"spark.hadoop.fs.s3a.endpoint\", os.environ[\"MINIO_ENDPOINT\"]) \\\n", + " .config(\"spark.hadoop.fs.s3a.access.key\", os.environ[\"MINIO_KEY\"]) \\\n", + " .config(\"spark.hadoop.fs.s3a.secret.key\", os.environ[\"MINIO_SECRET\"]) \\\n", + " .config(\"spark.hadoop.fs.s3a.path.style.access\", \"true\") \\\n", + " .config(\"spark.hadoop.fs.s3a.impl\", \"org.apache.hadoop.fs.s3a.S3AFileSystem\") \\\n", + " .enableHiveSupport() \\\n", + " .getOrCreate()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f0c3432f-c7e7-4ca4-9f24-13592ea4ee0d", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/sandbox/spark/app/bronze-spark.py b/sandbox/spark/app/bronze-spark.py new file mode 100644 index 0000000..3f779f6 --- /dev/null +++ b/sandbox/spark/app/bronze-spark.py @@ -0,0 +1,55 @@ +from pyspark.sql import SparkSession + +spark = SparkSession.builder \ + .appName("etl_bronze") \ + .getOrCreate() + +# spark = configure_spark_with_delta_pip(builder).getOrCreate() + +leading_path = "s3a://leading/orders.parquet" +bronze_path = "s3a://bronze/bronze_orders" + +df = spark.read.parquet(leading_path) +df.show() +schema = df.schema + +new_column_names = { + "_c0": "id", + "_c1": "price", + "_c2": "payment_method", + "_c3": "status", + "_c4": "created_at", + "_c5": "client_id", + "_c6": "client_name", + "_c7": "client_email", + "_c8": "client_document", + "_c9": "address_id", + "_c10": "address_uf", + "_c11": "address_city", + "_c12": "address_country", + "_c13": "category_id", + "_c14": "category_name", + "_c15": "seller_id", + "_c16": "seller_name" +} + +for old_name, new_name in new_column_names.items(): + df = df.withColumnRenamed(old_name, new_name) + +# Escrita dos dados no formato Delta +df.write.format("delta").mode('overwrite').option("overwriteSchema", "true").save(bronze_path) + +schema_str = ", ".join([f"{field.name} {field.dataType.simpleString()}" for field in df.schema]) + +spark.sql(f""" +CREATE TABLE budget_orders ({schema_str}) USING DELTA LOCATION 's3a://bronze/bronze_orders' +""").show() + + +spark.sql(""" +SELECT * FROM budget_orders +""").show() + +spark.sql(""" +DELETE FROM budget_orders WHERE id = 'id' +""").show() \ No newline at end of file diff --git a/sandbox/spark/libs/jbcpostgres.jar b/sandbox/spark/libs/jbcpostgres.jar new file mode 100644 index 0000000000000000000000000000000000000000..fa42b1d6dc01046952a0c72e42d2f40288a19c28 GIT binary patch literal 1089312 zcmeFXV~{Rgmn~YhZS1mb?W)>k+qP}nw*8cCdzWq7Hg@5@Uw21$pSbtybKV>0{5TPv z5&3V;u`(m($T`MXDK7;Ih6V%$1qB2IB>30;9~U$b7?6yJvLKy=tSH0RI1mshkh~P+ zKh^<({M#z|e_D+8*NT5HmJyVd5EW5Urk4@z*3`1wU`O-i*!|XjH4q2Na=EP9vNrC^ zbQX*?ej3@B865 znCJ`XE?yuEc-vBbL@Ot_3L(&jO`SZt|B~qu>Vr=W> z@lQi$amFrwEYYAflE!KGj)x0C5Wu3J9$yVkxpVg%vr_%sDmkBO;+fLLj=^}HrQJ5i zU?~hsyHdREyHNec#CR|JgCVoDnC#%fMP@fzwd2(q7aTqEvglQKu^tK=FFjQo`ntHm zcoQ*}0`@yM#G9L!$Y7xV2d}YYLM`-B5zGQXdfU6Thzj1EyOIY2r{-^Ju2RRTq5A|6 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