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Connect Algolia and Google BigQuery in our serverless environment

Use this template to Search Algolia index using them to insert rows into Google BigQuery table.

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Search Algolia index

Used integrations:
class AlgoliaSourceSearchIndex {
async init() {
// TODO: Create your algolia credential
// More info at https://yepcode.io/docs/integrations/algolia/#credential-configuration
this.algoliaClient = yepcode.integration.algolia(
"your-algolia-credential-name"
);

// TODO: Customize your index name
this.algoliaIndex = this.algoliaClient.initIndex("your-algolia-index-name");
}

async fetch(publish, done) {
// TODO: Set your query string. More info at https://www.algolia.com/doc/api-reference/api-methods/search/
const {
hits
} = await this.algoliaIndex.search("your-query-string");
for (const hit of hits) {
// TODO: Customize record columns mapping to the item that will be published
const item = {
id: hit.id,
name: hit.name
};

await publish(item);
}
done();
}

async close() {}
}

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Insert rows into Google BigQuery table

Used integrations:
class GoogleBigqueryTargetInsert {
async init() {
// TODO: Create your google-bigquery credential
// More info at https://yepcode.io/docs/integrations/google-bigquery/#credential-configuration
const googleBigQuery = yepcode.integration.googleBigQuery(
"your-google-bigquery-credential-name"
);
// TODO: Customize dataset and table names
// See how to get dataset name: https://cloud.google.com/bigquery/docs/dataset-metadata#console
this.table = await googleBigQuery
.dataset("your-dataset")
.table("your-table");
}

async consume(item) {
// TODO: Map item to your bigquery table row
this.table.insert([item]);
}

async close() {}
}

Other combinations

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These recipes are an excellent starting point for creating your own YepCode processes and solving complex integration and automation problems.

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YepCode has been created with a clear enterprise focus, offering a multi-tenant environment, team management capabilities, high security and auditing standards, Identity Provider (IdP) integrations, and on-premise options. It serves as the Swiss army knife for engineering teams, especially those requiring the extraction or transmission of information to external systems. It excels in scenarios demanding flexibility and adaptability to change within the process.

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