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← PostgreSQL + AWS integrations

Redshift - Update Rows with AWS API on New or Updated Row from PostgreSQL API

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New or Updated Row from the PostgreSQL API
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Redshift - Update Rows with the AWS API
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Getting Started

This integration creates a workflow with a PostgreSQL trigger and AWS action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New or Updated Row trigger
    1. Connect your PostgreSQL account
    2. Configure Polling Interval
    3. Select a Schema
    4. Select a Table
    5. Select a Identifier Column
    6. Select a Timestamp Column
  3. Configure the Redshift - Update Rows action
    1. Connect your AWS account
    2. Configure info
    3. Select a AWS Region
    4. Select a Workgroup Name
    5. Select a Database Name
    6. Select a Schema
    7. Select a Table
    8. Configure Updates
    9. Configure WHERE Clause
    10. Optional- Configure Parameters For WHERE Clause
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger

New or Updated Row on PostgreSQL
Description:Emit new event when a row is added or modified. [See the documentation](https://node-postgres.com/features/queries)
Version:2.0.8
Key:postgresql-new-or-updated-row

PostgreSQL Overview

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Trigger Code

import common from "../common.mjs"; export default { ...common, name: "New or Updated Row", key: "postgresql-new-or-updated-row", description: "Emit new event when a row is added or modified. [See the documentation](https://node-postgres.com/features/queries)", version: "2.0.8", type: "source", dedupe: "unique", props: { ...common.props, schema: { propDefinition: [ common.props.postgresql, "schema", ], }, table: { propDefinition: [ common.props.postgresql, "table", (c) => ({ schema: c.schema, }), ], }, identifierColumn: { label: "Identifier Column", propDefinition: [ common.props.postgresql, "column", (c) => ({ table: c.table, schema: c.schema, }), ], description: "The column to identify an unique row, commonly it's `id` or `uuid`.", }, timestampColumn: { label: "Timestamp Column", propDefinition: [ common.props.postgresql, "column", (c) => ({ table: c.table, schema: c.schema, }), ], description: "A datetime column, such as 'date_updated' or 'last_modified' that is set to the current datetime when a row is updated.", }, }, hooks: { async deploy() { await this.initialRows( this.schema, this.table, this.timestampColumn, this.limit, ); }, }, methods: { ...common.methods, generateMeta(row, column) { return { id: `${row[this.identifierColumn]}-${row[column]}`, summary: "Row Added/Updated", ts: row[column], }; }, }, async run() { await this.newRows(this.schema, this.table, this.timestampColumn); }, };

Trigger Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
PostgreSQLpostgresqlappThis component uses the PostgreSQL app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Polling Intervaltimer$.interface.timer

Pipedream will poll the API on this schedule

SchemaschemastringSelect a value from the drop down menu.
TabletablestringSelect a value from the drop down menu.
Identifier ColumnidentifierColumnstringSelect a value from the drop down menu.
Timestamp ColumntimestampColumnstringSelect a value from the drop down menu.

Trigger Authentication

PostgreSQL uses API keys for authentication. When you connect your PostgreSQL account, Pipedream securely stores the keys so you can easily authenticate to PostgreSQL APIs in both code and no-code steps.

Connecting to Restricted Databases

Either enable the shared static IP for this account below, or configure a VPC to deploy any workflow in your workspace to a private network with a dedicated static IP. Learn more in our docs

SSL Setup

Configure SSL on your PostgreSQL database by providing the CA (Certificate Authority), and choosing between Full Verification, Verify Certificate Authority (CA), or Skip Verification. Skipping verification is not recommended as this has serious security implications

About PostgreSQL

PostgreSQL is a free and open-source relational database management system emphasizing extensibility and SQL compliance.

Action

Redshift - Update Rows on AWS
Description:Update row(s) in an existing table in Redshift. [See the documentation](https://docs.aws.amazon.com/redshift/latest/APIReference/API_ExecuteStatement.html)
Version:0.0.2
Key:aws-redshift-update-rows

AWS Overview

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Action Code

import app from "../../aws.app.mjs"; import { parseJson } from "../../common/utils.mjs"; export default { key: "aws-redshift-update-rows", name: "Redshift - Update Rows", description: "Update row(s) in an existing table in Redshift. [See the documentation](https://docs.aws.amazon.com/redshift/latest/APIReference/API_ExecuteStatement.html)", type: "action", version: "0.0.2", annotations: { destructiveHint: true, openWorldHint: true, readOnlyHint: false, }, props: { app, info: { propDefinition: [ app, "info", ], }, region: { propDefinition: [ app, "region", ], }, workgroupName: { propDefinition: [ app, "workgroupName", ({ region }) => ({ region, }), ], }, database: { propDefinition: [ app, "database", ({ region, workgroupName, }) => ({ region, workgroupName, }), ], }, schema: { propDefinition: [ app, "schema", ({ region, database, workgroupName, }) => ({ region, database, workgroupName, }), ], }, table: { propDefinition: [ app, "table", ({ region, database, workgroupName, schema, }) => ({ region, database, workgroupName, schema, }), ], }, updates: { type: "object", label: "Updates", description: "An object of key-value pairs to update. Keys are column names. e.g. `{\"col1\": \"new_val\"}`", }, where: { type: "string", label: "WHERE Clause", description: "The WHERE clause to filter rows to update. e.g. `id = :id`. Use named parameters to avoid SQL injection.", }, sqlParameters: { propDefinition: [ app, "sqlParameters", ], }, }, async run({ $ }) { const { region, workgroupName, database, schema, table, updates, where, sqlParameters, } = this; const setClause = Object.keys(updates) .map((key) => `${key} = :set_${key}`) .join(", "); const sql = `UPDATE ${schema}.${table} SET ${setClause} WHERE ${where}`; const updateParameters = Object.entries(parseJson(updates) || {}) .map(([ name, value, ]) => ({ name: `set_${name}`, value: String(value), })); const whereParameters = Object.entries(parseJson(sqlParameters) || {}) .map(([ name, value, ]) => ({ name, value: String(value), })); const response = await this.app.executeStatement({ region, workgroupName, database, sql, parameters: [ ...updateParameters, ...whereParameters, ], }); $.export("$summary", `Successfully updated \`${response.ResultRows}\` row(s) in table \`${schema}.${table}\`.`); return response; }, };

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
AWSappappThis component uses the AWS app.
AWS RegionregionstringSelect a value from the drop down menu.
Workgroup NameworkgroupNamestringSelect a value from the drop down menu.
Database NamedatabasestringSelect a value from the drop down menu.
SchemaschemastringSelect a value from the drop down menu.
TabletablestringSelect a value from the drop down menu.
Updatesupdatesobject

An object of key-value pairs to update. Keys are column names. e.g. {"col1": "new_val"}

WHERE Clausewherestring

The WHERE clause to filter rows to update. e.g. id = :id. Use named parameters to avoid SQL injection.

Parameters For WHERE ClausesqlParametersobject

An object with parameters to use in the WHERE clause. e.g. { "id": 1 }

Action Authentication

AWS uses API keys for authentication. When you connect your AWS account, Pipedream securely stores the keys so you can easily authenticate to AWS APIs in both code and no-code steps.

Follow the AWS Instructions for creating an IAM user with an associated access and secret key.

As a best practice, attach the minimum set of IAM permissions necessary to perform the specific task in Pipedream. If your workflow only needs to perform a single API call, you should create a user and associate an IAM group / policy with permission to do only that task. You can create as many linked AWS accounts in Pipedream as you'd like.

Enter your access and secret key below.

About AWS

Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.

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Emit new event when new rows are returned from a custom query that you provide. See the documentation

 
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Redshift - New Row from the AWS API

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Emit new event when a row is updated, based on a selected timestamp column. See the documentation

 
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