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Google Cloud Documentation
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  • Use a server client library
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    • Manage standard edition indexes
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  • Add data
    • Add and update data with Core operations (all editions)
    • Transactions and batched writes
    • Data contention in transactions
    • Support frequent counters on documents
  • Query data
    • Query interfaces overview
    • Query with Pipeline operations (Enterprise edition)
      • Get data with Pipeline operations
      • Perform joins with subqueries
      • Optimize query execution in Enterprise edition
        • Identify queries to optimize
        • Analyze query execution with Query Explain
        • Query Explain report reference
        • Optimize query execution
    • Query with Core operations (All editions)
      • Get data
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      • Order and limit data
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      • Query with range & inequality filters on multiple fields
      • Optimize Standard edition queries
        • Optimize queries with multiple range & inequality filters
        • Identify queries to optimize
        • Analyze query execution with Query Explain
        • Query Explain report reference
      • Work with aggregation queries
      • Paginate data with query cursors
      • Summarize data with aggregation queries
      • Enable offline data
  • Use text search (Enterprise edition)
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  • Delete data
    • Delete documents and fields
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  • Scale your apps
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      • Understand reads and writes at scale
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      • Understand reads and writes at scale
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      • Best practices for designing an app
      • Shard documents for timestamp indexing
  • Develop generative AI features
  • Use the Firestore remote MCP server
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  • Manage Firestore with the console
    • Use Firestore Studio for Standard edition
  • Search with vector embeddings
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    • Get started with security rules
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    • Control access per field
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  • Server-side encryption
  • Secure data with customer-managed encryption keys (CMEK)
    • About CMEK
    • Use CMEK
  • Manage resources using custom constraints
  • Process data
  • Create event-driven architectures with Eventarc
    • Overview
    • Extend Firestore with Cloud Run functions
  • Integrate with BigQuery
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