Skip to main content
algolia-migration-deep-dive Migrate to Algolia from Elasticsearch, Typesense, or Meilisearch.
Covers data migration, query translation, replaceAllObjects zero-downtime swap,
and strangler fig traffic shifting.
Trigger: "migrate to algolia", "switch to algolia", "algolia migration",
"elasticsearch to algolia", "replace search engine", "algolia replatform".
跳到安装 Skills Marketplace 发现并探索由社区构建的 Agent Skills
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill algolia-migration-deep-dive命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
下载 Zip 下载中... jeremylongshore
jeremylongshore/claude-code-plugins-plus-skills
打开 GitHub 仓库 name algolia-migration-deep-dive description Migrate to Algolia from Elasticsearch, Typesense, or Meilisearch.
Covers data migration, query translation, replaceAllObjects zero-downtime swap,
and strangler fig traffic shifting.
Trigger: "migrate to algolia", "switch to algolia", "algolia migration",
"elasticsearch to algolia", "replace search engine", "algolia replatform".
allowed-tools Read, Write, Edit, Bash(npm:*), Bash(node:*), Bash(curl:*) version 1.6.0 license MIT author Jeremy Longshore <jeremy@intentsolutions.io> tags ["saas","search","algolia"] compatibility Designed for Claude Code
Algolia Migration Deep Dive
Overview
Comprehensive guide for migrating from another search engine (Elasticsearch, Typesense, Meilisearch, or custom) to Algolia. Uses the strangler fig pattern: run old and new in parallel, gradually shift traffic, then cut over.
Migration Planning
From Difficulty Notes Duration Elasticsearch Medium query syntax differs significantly 2-4 weeks Typesense Low similar hosted model 1-2 weeks Meilisearch Low similar API concepts 1-2 weeks Custom SQL LIKE Low major upgrade 1-2 weeks Solr Medium config-heavy to API-driven 2-4 weeks
Instructions
Step 1: Assess Current Implementation
grep -rn "elasticsearch\|elastic\|typesense\|meilisearch\|\.search(" \
--include="*.ts" --include="*.tsx" --include="*.js" src/ | wc -l
grep -rn "aggregations\|facets\|filters\|sort\|highlight\|suggest" \
--include="*.ts" --include="*.tsx" src/
interface MigrationAssessment {
currentEngine : string ;
recordCount : number ;
indexCount : number ;
features : {
fullTextSearch : boolean ;
faceting : boolean ;
filtering : ;
: ;
: ;
: ;
: ;
: ;
: ;
};
: [];
: [];
}
boolean
geoSearch
boolean
synonyms
boolean
customRanking
boolean
analytics
boolean
abTesting
boolean
recommendations
boolean
integrationPoints
string
queryPatterns
string
Step 2: Create the Adapter Layer
interface SearchResult <T> {
hits : T[];
totalHits : number ;
totalPages : number ;
currentPage : number ;
facets ?: Record <string , Record <string , number >>;
processingTimeMs : number ;
}
interface SearchAdapter {
search<T>(params : {
index : string ;
query : string ;
filters ?: string ;
facets ?: string [];
page ?: number ;
hitsPerPage ?: number ;
}): Promise <SearchResult <T>>;
index (params : { index : string ; records : Record <string , any >[] }): Promise <void >;
delete (params : { index : string ; ids : string [] }): Promise <void >;
}
Step 3: Implement the Algolia Adapter
import { algoliasearch, ApiError } from 'algoliasearch' ;
export class AlgoliaAdapter implements SearchAdapter {
private client;
constructor (appId : string , apiKey : string ) {
this .client = algoliasearch (appId, apiKey);
}
async search<T>(params : {
index : string ;
query : string ;
filters ?: string ;
facets ?: string [];
page ?: number ;
hitsPerPage ?: number ;
}): Promise <SearchResult <T>> {
const result = await this .client .searchSingleIndex <T>({
indexName : params.index ,
searchParams : {
query : params.query ,
filters : params.filters ,
facets : params.facets || ['*' ],
page : params.page || 0 ,
hitsPerPage : params.hitsPerPage || 20 ,
},
});
return {
hits : result.hits ,
totalHits : result.nbHits ,
totalPages : result.nbPages ,
currentPage : result.page ,
facets : result.facets ,
processingTimeMs : result.processingTimeMS ,
};
}
async index (params : { index: string ; records: Record<string , any >[] } ) {
const { taskID } = await this .client .saveObjects ({
indexName : params.index ,
objects : params.records .map (r => ({
objectID : r.id || r.objectID ,
...r,
})),
});
await this .client .waitForTask ({ indexName : params.index , taskID });
}
async delete (params : { index: string ; ids: string [] } ) {
const { taskID } = await this .client .deleteObjects ({
indexName : params.index ,
objectIDs : params.ids ,
});
await this .client .waitForTask ({ indexName : params.index , taskID });
}
}
Step 4: Query Translation Guide
await client.searchSingleIndex ({ indexName : 'products' , searchParams : { query : 'laptop' } });
await client.searchSingleIndex ({
indexName : 'products' ,
searchParams : { query : '' , filters : 'category:electronics' },
});
await client.searchSingleIndex ({
indexName : 'products' ,
searchParams : { query : '' , numericFilters : ['price >= 50' , 'price <= 200' ] },
});
await client.searchSingleIndex ({
indexName : 'products' ,
searchParams : { query : '' , facets : ['category' ] },
});
await client.searchSingleIndex ({ indexName : 'products_price_asc' , searchParams : { query : '' } });
Step 5: Data Migration
async function migrateData (sourceAdapter : SearchAdapter , targetIndex : string ) {
const client = algoliasearch (process.env .ALGOLIA_APP_ID !, process.env .ALGOLIA_ADMIN_KEY !);
console .log (`Starting migration to ${targetIndex} ...` );
const allRecords : Record <string , any >[] = [];
let page = 0 ;
let hasMore = true ;
while (hasMore) {
const result = await sourceAdapter.search ({
index : 'products' ,
query : '' ,
page,
hitsPerPage : 1000 ,
});
allRecords.push (...result.hits .map (transformRecord));
hasMore = page < result.totalPages - 1 ;
page++;
console .log (`Exported ${allRecords.length} records...` );
}
const { taskID } = await client.replaceAllObjects ({
indexName : targetIndex,
objects : allRecords,
batchSize : 1000 ,
});
await client.waitForTask ({ indexName : targetIndex, taskID });
console .log (`Migration complete: ${allRecords.length} records in ${targetIndex} ` );
}
function transformRecord (record : any ): Record <string , any > {
return {
objectID : record.id || record._id ,
...record,
_id : undefined ,
_source : undefined ,
_score : undefined ,
};
}
Step 6: Traffic Shifting (Strangler Fig)
function getSearchAdapter ( ): SearchAdapter {
const algoliaPercent = parseInt (process.env .ALGOLIA_TRAFFIC_PERCENT || '0' );
if (Math .random () * 100 < algoliaPercent) {
return new AlgoliaAdapter (process.env .ALGOLIA_APP_ID !, process.env .ALGOLIA_ADMIN_KEY !);
}
return new ElasticsearchAdapter (process.env .ES_URL !);
}
Step 7: Validation
async function validateMigration (queries : string [] ) {
const old = new ElasticsearchAdapter (process.env .ES_URL !);
const algolia = new AlgoliaAdapter (process.env .ALGOLIA_APP_ID !, process.env .ALGOLIA_ADMIN_KEY !);
for (const query of queries) {
const oldResult = await old.search ({ index : 'products' , query });
const algoliaResult = await algolia.search ({ index : 'products' , query });
const oldIds = new Set (oldResult.hits .map ((h : any ) => h.objectID || h.id ));
const algoliaIds = new Set (algoliaResult.hits .map ((h : any ) => h.objectID ));
const overlap = [...algoliaIds].filter (id => oldIds.has (id)).length ;
const overlapPct = (overlap / Math .max (oldIds.size , 1 ) * 100 ).toFixed (0 );
console .log (`"${query} ": old=${oldResult.totalHits} , algolia=${algoliaResult.totalHits} , overlap=${overlapPct} %` );
}
}
Rollback Plan
export ALGOLIA_TRAFFIC_PERCENT=0
Error Handling Issue Cause Solution Result mismatch Different ranking algorithms Tune customRanking and searchableAttributes Missing records Transform dropped fields Add logging to transform, validate counts Higher latency Cold Algolia index Search a few times to warm cache, then benchmark Filter syntax errors Elasticsearch query DSL ≠ Algolia filters Use translation guide above
Resources
Next Steps Migration complete. See algolia-prod-checklist for go-live preparation.