pushing pg2pg ods replication scripts

.github/workflows/docker-pg2pg.yaml

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+name: Push to GHCR
+
+on:
+ push:
+ branches: [ "ods-replication-pg2pg" ]
+
+env:
+ # DF-NOTE: pull ghcr.io/bcgov/nr-dap-ods-trino:main
+ REGISTRY: ghcr.io
+ DOCKERFILE_PATH: shared/ods_replication_pg2pg
+ IMAGE_NAME: ${{ github.repository }}-ods-pg2pg
+
+jobs:
+ build:
+ runs-on: ubuntu-latest
+ permissions:
+ contents: read
+ packages: write
+ id-token: write
+
+ steps:
+ - name: Checkout repository
+ uses: actions/checkout@v3
+
+ - name: Install cosign
+ if: github.event_name != 'pull_request'
+ uses: sigstore/[email protected]
+
+ - name: Set up Docker Buildx
+ uses: docker/setup-buildx-action@f95db51fddba0c2d1ec667646a06c2ce06100226 # v3.0.0
+
+ - name: Log into registry ${{ env.REGISTRY }}
+ if: github.event_name != 'pull_request'
+ uses: docker/login-action@343f7c4344506bcbf9b4de18042ae17996df046d # v3.0.0
+ with:
+ registry: ${{ env.REGISTRY }}
+ username: ${{ github.actor }}
+ password: ${{ secrets.GITHUB_TOKEN }}
+
+ - name: Extract Docker metadata
+ id: meta
+ uses: docker/metadata-action@96383f45573cb7f253c731d3b3ab81c87ef81934 # v5.0.0
+ with:
+ images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+
+ - name: Build and push Docker image
+ id: build-and-push
+ uses: docker/build-push-action@0565240e2d4ab88bba5387d719585280857ece09 # v5.0.0
+ with:
+ # DF-NOTE: to help the action find the Dockerfile to build from
+ context: ${{ env.DOCKERFILE_PATH }}/
+ push: ${{ github.event_name != 'pull_request' }}
+ tags: ${{ steps.meta.outputs.tags }}
+ labels: ${{ steps.meta.outputs.labels }}
+ cache-from: type=gha
+ cache-to: type=gha,mode=max
+
+ #- name: Sign the published Docker image
+ #if: ${{ github.event_name != 'pull_request' }}
+ #env:
+ # https://docs.github.com/en/actions/security-guides/security-hardening-for-github-actions#using-an-intermediate-environment-variable
+ #TAGS: ${{ steps.meta.outputs.tags }}
+ #DIGEST: ${{ steps.build-and-push.outputs.digest }}
+
+ #run: echo "${TAGS}" | xargs -I {} cosign sign --yes {}@${DIGEST}

shared/ods_replication_pg2pg/Dockerfile

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+FROM python:3.11.4-slim-buster
+
+WORKDIR /app
+
+# PostgreSQL library 
+
+RUN apt-get update \
+ && apt-get -y install libpq-dev gcc \
+ && pip install psycopg2
+
+ADD *.py .
+
+#COPY requirements.txt requirements.txt
+
+#RUN pip3 install -r requirements.txt
+
+CMD ["python3", "./data_replication_pg2pg.py"]

shared/ods_replication_pg2pg/data_replication_pg2pg.py

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+#!/usr/bin/env python
+# coding: utf-8
+
+# In[1]: Imports
+# refer if block at line 38, some imports are conditional
+import psycopg2
+import psycopg2.pool
+import psycopg2.extras
+from psycopg2.extras import execute_batch
+import configparser
+import time
+import json
+import concurrent.futures
+from datetime import datetime
+import sys
+import os
+import argparse
+
+
+start = time.time()
+
+# In[3]: Retrieve Oracle database configuration
+src_postgres_username = os.environ['DB_USERNAME']
+src_postgres_password = os.environ['DB_PASSWORD']
+src_postgres_host = os.environ['DB_HOST']
+src_postgres_port = os.environ['DB_PORT']
+src_postgres_database = os.environ['DATABASE']
+# In[4]: Retrieve Postgres database configuration
+postgres_username = os.environ['ODS_USERNAME']
+postgres_password = os.environ['ODS_PASSWORD']
+postgres_host = os.environ['ODS_HOST']
+postgres_port = os.environ['ODS_PORT']
+postgres_database = os.environ['ODS_DATABASE']
+# In[5]: Script parameters
+mstr_schema = os.environ['MSTR_SCHEMA']
+app_name = os.environ['APP_NAME']
+concurrent_tasks = int(os.environ['CONCUR_TASKS'])
+audit_table = 'audit_batch_status'
+current_date = datetime.now().strftime('%Y-%m-%d')
+
+#concurrent_tasks = int(concurrent_tasks) 
+#In[5]: Concurrent tasks - number of tables to be replicated in parallel
+#concurrent_tasks = 5
+
+# In[6]: Set up Oracle connection pool
+# In[7]: Setup Postgres Pool 
+SrcPgresPool = psycopg2.pool.ThreadedConnectionPool(
+ minconn = concurrent_tasks, maxconn = concurrent_tasks,host=src_postgres_host, port=src_postgres_port, dbname=src_postgres_database, user=src_postgres_username, password=src_postgres_password
+)
+print('Source Postgres Connection Successful')
+
+# In[7]: Setup Postgres Pool 
+PgresPool = psycopg2.pool.ThreadedConnectionPool(
+ minconn = concurrent_tasks, maxconn = concurrent_tasks,host=postgres_host, port=postgres_port, dbname=postgres_database, user=postgres_username, password=postgres_password
+)
+print('Target Postgres Connection Successful')
+
+def del_audit_entries_rerun(current_date):
+ postgres_connection = PgresPool.getconn() 
+ postgres_cursor = postgres_connection.cursor()
+ del_sql = f"""
+ DELETE FROM {mstr_schema}.{audit_table} c
+ where application_name='{app_name}' and batch_run_date='{current_date}'
+ """
+ postgres_cursor.execute(del_sql)
+ postgres_connection.commit()
+ postgres_cursor.close()
+ PgresPool.putconn(postgres_connection)
+ return print(del_sql)
+
+# Function to insert the audit batch status entry
+def audit_batch_status_insert(table_name,status):
+ postgres_connection = PgresPool.getconn() 
+ postgres_cursor = postgres_connection.cursor()
+ try:
+ audit_batch_status_query = f"""INSERT INTO {mstr_schema}.{audit_table} VALUES ('{table_name}','{app_name}','replication','{status}',current_date)"""
+ print(audit_batch_status_query)
+ postgres_cursor.execute(audit_batch_status_query)
+ postgres_connection.commit()
+ print(f"Record inserted into audit batch status table")
+ return None
+ except Exception as e:
+ print(f"Error inserting record into to audit batch status table: {str(e)}")
+ return None
+ finally:
+ # Return the connection to the pool
+ if postgres_connection:
+ postgres_cursor.close()
+ PgresPool.putconn(postgres_connection)
+
+# In[8]: Function to get active rows from master table
+def get_active_tables(mstr_schema,app_name):
+ postgres_connection = PgresPool.getconn() 
+ postgres_cursor = postgres_connection.cursor()
+ list_sql = f"""
+ SELECT application_name,source_schema_name,source_table_name,target_schema_name,target_table_name,truncate_flag,cdc_flag,full_inc_flag,cdc_column,replication_order,customsql_ind,customsql_query
+ from {mstr_schema}.cdc_master_table_list c
+ where active_ind = 'Y' and application_name='{app_name}'
+ order by replication_order, source_table_name
+ """
+ with postgres_connection.cursor() as curs:
+ curs.execute(list_sql)
+ rows = curs.fetchall()
+ postgres_connection.commit()
+ postgres_cursor.close()
+ PgresPool.putconn(postgres_connection)
+ return rows
+
+# In[9]: Function to extract data from Oracle
+def extract_from_srcpg(table_name,source_schema,customsql_ind,customsql_query):
+ # Acquire a connection from the pool
+ srcpostgres_connection = SrcPgresPool.getconn()
+ srcpostgres_cursor = srcpostgres_connection.cursor() 
+ try:
+ if customsql_ind == "Y":
+ # Use placeholders in the query and bind the table name as a parameter
+ sql_query=customsql_query
+ print(sql_query)
+ srcpostgres_cursor.execute(sql_query)
+ rows = srcpostgres_cursor.fetchall()
+ #OrcPool.release(oracle_connection)
+ return rows 
+ else:
+ sql_query = f'SELECT * FROM {source_schema}.{table_name}'
+ print(sql_query)
+ srcpostgres_cursor.execute(sql_query)
+ rows = srcpostgres_cursor.fetchall()
+ #OrcPool.release(oracle_connection)
+ return rows
+
+ except Exception as e:
+ audit_batch_status_insert(table_name,'failed')
+ print(f"Error extracting data from SrcPostgres: {str(e)}")
+ #OrcPool.release(oracle_connection) #Temporary change
+ return []
+
+ finally:
+ # Return the connection to the pool
+ if srcpostgres_connection:
+ srcpostgres_cursor.close()
+ SrcPgresPool.putconn(srcpostgres_connection)
+# In[10]: Function to load data into Target PostgreSQL using data from Source Oracle
+def load_into_postgres(table_name, data,target_schema):
+ postgres_connection = PgresPool.getconn()
+ postgres_cursor = postgres_connection.cursor()
+ try:
+ # Delete existing data in the target table
+ delete_query = f'TRUNCATE TABLE {target_schema}.{table_name}'
+ postgres_cursor.execute(delete_query)
+
+ # Build the INSERT query with placeholders
+ insert_query = f'INSERT INTO {target_schema}.{table_name} VALUES ({", ".join(["%s"] * len(data[0]))})'
+ #insert_query = f'INSERT INTO {target_schema}.{table_name} VALUES %s'
+
+ # Use execute_batch for efficient batch insert
+ with postgres_connection.cursor() as cursor:
+ # Prepare the data as a list of tuples
+ data_to_insert = [(tuple(row)) for row in data]
+ execute_batch(cursor, insert_query, data_to_insert)
+ postgres_connection.commit()
+ # Insert record to audit batch table 
+ audit_batch_status_insert(table_name,'success')
+
+
+ except Exception as e:
+ print(f"Error loading data into PostgreSQL: {str(e)}")
+ audit_batch_status_insert(table_name,'failed')
+ finally:
+ # Return the connection to the pool
+ if postgres_connection:
+ postgres_cursor.close()
+ PgresPool.putconn(postgres_connection)
+
+# In[11]: Function to call both extract and load functions
+def load_data_from_src_tgt(table_name,source_schema,target_schema,customsql_ind,customsql_query):
+ # Extract data from Oracle
+ print(f'Source: Thread {table_name} started at ' + datetime.now().strftime("%H:%M:%S"))
+ srcpg_data = extract_from_srcpg(table_name,source_schema,customsql_ind,customsql_query) # Ensure table name is in uppercase
+ print(f'Source: Extraction for {table_name} completed at ' + datetime.now().strftime("%H:%M:%S"))
+
+ if srcpg_data:
+ # Load data into PostgreSQL
+ load_into_postgres(table_name, srcpg_data, target_schema)
+ print(f"Target: Data loaded into table: {table_name}")
+ print(f'Target: Thread {table_name} ended at ' + datetime.now().strftime("%H:%M:%S"))
+
+# In[12]: Initializing concurrency
+if __name__ == '__main__':
+ # Main ETL process
+ active_tables_rows =get_active_tables(mstr_schema,app_name) 
+ #print(active_tables_rows)
+ tables_to_extract = [(row[2],row[1],row[3],row[10],row[11]) for row in active_tables_rows]
+
+ print(f"tables to extract are {tables_to_extract}")
+ print(f'No of concurrent tasks:{concurrent_tasks}')
+ #Delete audit entries for rerun on same day
+ del_audit_entries_rerun(current_date)
+ # Using ThreadPoolExecutor to run tasks concurrently
+ with concurrent.futures.ThreadPoolExecutor(max_workers=concurrent_tasks) as executor:
+ # Submit tasks to the executor
+ future_to_table = {executor.submit(load_data_from_src_tgt, table[0],table[1],table[2],table[3],table[4]): table for table in tables_to_extract}
+
+ # Wait for all tasks to complete
+ concurrent.futures.wait(future_to_table)
+
+ # Print results
+ for future in future_to_table:
+ table_name = future_to_table[future]
+ try:
+ # Get the result of the task, if any
+ future.result()
+ except Exception as e:
+ # Handle exceptions that occurred during the task
+ print(f"Error replicating {table_name}: {e}")
+ audit_batch_status_insert(table_name[0],'failed')
+
+ # record end time
+ end = time.time()
+ SrcPgresPool.closeall()
+ PgresPool.closeall()
+
+ print("ETL process completed successfully.")
+ print("The time of execution of the program is:", (end - start) , "secs")
+