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  • YUGABYTEDB CORE
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        • 1. System configuration
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      • Security checklist
      • Enable authentication
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        • Configure audit logging
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    • Manage
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    • Contribute
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  • YUGABYTEDB ANYWHERE
    • Overview
      • Install
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    • Install
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  • YUGABYTEDB MANAGED
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        • Before you begin
        • Java
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    • Deploy clusters
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    • Example applications
      • Connect a Spring application
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    • Security architecture
      • Security architecture
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    • Troubleshoot
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    • What's new
  • INTEGRATIONS
    • Apache Kafka
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    • Django REST framework
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      • Application Development
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      • Spring Data YugabyteDB
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    • SQLAlchemy
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    • YSQL Loader
    • YugabyteDB JDBC driver
  • REFERENCE
    • Architecture
      • Design goals
      • Key concepts
        • Universe
        • YB-TServer Service
        • YB-Master Service
      • Core functions
        • Universe creation
        • Table creation
        • Write IO path
        • Read IO path
        • High availability
      • Layered architecture
      • Query layer
        • Overview
      • DocDB transactions layer
        • Transactions overview
        • Transaction isolation levels
        • Explicit locking
        • Read Committed
        • Single-row transactions
        • Distributed transactions
        • Transactional IO path
      • DocDB sharding layer
        • Hash & range sharding
        • Tablet splitting
        • Colocated tables
      • DocDB replication layer
        • Replication
        • xCluster replication
        • Read replicas
        • Change data capture (CDC)
      • DocDB storage layer
        • Persistence
        • Performance
    • APIs
      • YSQL
        • The SQL language
          • SQL statements
            • ABORT
            • ALTER DATABASE
            • ALTER DEFAULT PRIVILEGES
            • ALTER DOMAIN
            • ALTER FOREIGN DATA WRAPPER
            • ALTER FOREIGN TABLE
            • ALTER GROUP
            • ALTER POLICY
            • ALTER ROLE
            • ALTER SEQUENCE
            • ALTER SERVER
            • ALTER TABLE
            • ALTER USER
            • ANALYZE
            • BEGIN
            • CALL
            • COMMENT
            • COMMIT
            • COPY
            • CREATE AGGREGATE
            • CREATE CAST
            • CREATE DATABASE
            • CREATE DOMAIN
            • CREATE EXTENSION
            • CREATE FOREIGN DATA WRAPPER
            • CREATE FOREIGN TABLE
            • CREATE FUNCTION
            • CREATE GROUP
            • CREATE INDEX
            • CREATE MATERIALIZED VIEW
            • CREATE OPERATOR
            • CREATE OPERATOR CLASS
            • CREATE POLICY
            • CREATE PROCEDURE
            • CREATE ROLE
            • CREATE RULE
            • CREATE SCHEMA
            • CREATE SEQUENCE
            • CREATE SERVER
            • CREATE TABLE
            • CREATE TABLE AS
            • CREATE TRIGGER
            • CREATE TYPE
            • CREATE USER
            • CREATE USER MAPPING
            • CREATE VIEW
            • DEALLOCATE
            • DELETE
            • DO
            • DROP AGGREGATE
            • DROP CAST
            • DROP DATABASE
            • DROP DOMAIN
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            • DROP FUNCTION
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            • DROP OWNED
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            • DROP RULE
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            • END
            • EXECUTE
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            • SET
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            • SET ROLE
            • SET SESSION AUTHORIZATION
            • SET TRANSACTION
            • SHOW
            • SHOW TRANSACTION
            • TRUNCATE
            • UPDATE
            • VALUES
          • WITH clause
            • WITH clause—SQL syntax and semantics
            • recursive CTE
            • case study—traversing an employee hierarchy
            • traversing general graphs
              • graph representation
              • common code
              • undirected cyclic graph
              • directed cyclic graph
              • directed acyclic graph
              • rooted tree
              • Unique containing paths
              • Stress testing find_paths()
            • case study—Bacon Numbers from IMDb
              • Bacon numbers for synthetic data
              • Bacon numbers for IMDb data
        • Data types
          • Array
            • array[] constructor
            • Literals
              • Text typecasting and literals
              • Array of primitive values
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              • Array of rows
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              • ANY and ALL
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              • array_remove()
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            • Conceptual background
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                • Real timezones no DST
                • Synthetic timezones no DST
              • Offset/timezone-sensitive operations
                • Timestamptz to/from timestamp conversion
                • Pure 'day' interval arithmetic
              • Four ways to specify offset
                • Name-resolution rules
                  • 1 case-insensitive resolution
                  • 2 ~names.abbrev never searched
                  • 3 'set timezone' string not resolved in ~abbrevs.abbrev
                  • 4 ~abbrevs.abbrev before ~names.name
                  • Helper functions
              • Syntax contexts for offset
              • Recommended practice
            • Typecasting between date-time and text-values
            • Semantics of the date-time data types
              • Date data type
              • Time data type
              • Plain timestamp and timestamptz
              • Interval data type
                • Interval representation
                  • Ad hoc examples
                  • Representation model
                • Interval value limits
                • Declaring intervals
                • Justify() and extract(epoch...)
                • Interval arithmetic
                  • Interval-interval comparison
                  • Interval-interval addition and subtraction
                  • Interval-number multiplication
                  • Moment-moment overloads of "-"
                  • Moment-interval overloads of "+" and "-"
                • Custom interval domains
                • Interval utility functions
            • Typecasting between date-time datatypes
            • Operators
              • Test comparison overloads
              • Test addition overloads
              • Test subtraction overloads
              • Test multiplication overloads
              • Test division overloads
            • General-purpose functions
              • Creating date-time values
              • Manipulating date-time values
              • Current date-time moment
              • Delaying execution
              • Miscellaneous
                • Function age()
                • Function extract() | date_part()
                • Implementations that model the overlaps operator
            • Formatting functions
            • Case study—SQL stopwatch
            • Download & install the date-time utilities
            • ToC
          • JSON
            • JSON literals
            • Primitive and compound data types
            • Code example conventions
            • Indexes and check constraints
            • Functions & operators
              • ::jsonb, ::json, ::text (typecast)
              • ->, ->>, #>, #>> (JSON subvalues)
              • - and #- (remove)
              • || (concatenation)
              • = (equality)
              • @> and <@ (containment)
              • ? and ?| and ?& (key or value existence)
              • array_to_json()
              • jsonb_agg()
              • jsonb_array_elements()
              • jsonb_array_elements_text()
              • jsonb_array_length()
              • jsonb_build_object()
              • jsonb_build_array()
              • jsonb_each()
              • jsonb_each_text()
              • jsonb_extract_path()
              • jsonb_extract_path_text() and json_extract_path_text()
              • jsonb_object()
              • jsonb_object_agg()
              • jsonb_object_keys()
              • jsonb_populate_record()
              • jsonb_populate_recordset()
              • jsonb_pretty()
              • jsonb_set() and jsonb_insert()
              • jsonb_strip_nulls()
              • jsonb_to_record()
              • jsonb_to_recordset()
              • jsonb_typeof()
              • row_to_json()
              • to_jsonb()
          • Money
          • Numeric
          • Range
          • Serial
          • UUID
        • Functions and operators
          • Aggregate functions
            • Informal functionality overview
            • Invocation syntax and semantics
            • grouping sets, rollup, cube
            • Per function signature and purpose
              • avg(), count(), max(), min(), sum()
              • array_agg(), string_agg(), jsonb_agg(), jsonb_object_agg()
              • bit_and(), bit_or(), bool_and(), bool_or()
              • variance(), var_pop(), var_samp(), stddev(), stddev_pop(), stddev_samp()
              • linear regression
                • covar_pop(), covar_samp(), corr()
                • regr_%()
              • mode(), percentile_disc(), percentile_cont()
              • rank(), dense_rank(), percent_rank(), cume_dist()
            • case study—percentile_cont() and the "68–95–99.7" rule
            • case study—linear regression on COVID data
              • Download the COVIDcast data
              • Ingest the COVIDcast data
                • Inspect the COVIDcast data
                • Copy the .csv files to staging tables
                • Check staged data conforms to the rules
                • Join the staged data into a single table
                • SQL scripts
                  • Create cr_staging_tables()
                  • Create cr_copy_from_scripts()
                  • Create assert_assumptions_ok()
                  • Create xform_to_covidcast_fb_survey_results()
                  • ingest-the-data.sql
              • Analyze the COVIDcast data
                • symptoms vs mask-wearing by day
                • Data for scatter-plot for 21-Oct-2020
                • Scatter-plot for 21-Oct-2020
                • SQL scripts
                  • analysis-queries.sql
                  • synthetic-data.sql
          • currval()
          • lastval()
          • nextval()
          • setval()
          • Window functions
            • Informal functionality overview
            • Invocation syntax and semantics
            • Per function signature and purpose
              • row_number(), rank() and dense_rank()
              • percent_rank(), cume_dist() and ntile()
              • first_value(), nth_value(), last_value()
              • lag(), lead()
              • Tables for the code examples
                • table t1
                • table t2
                • table t3
                • table t4
            • case study—analyzing a normal distribution
              • Bucket allocation scheme
              • do_clean_start.sql
              • cr_show_t4.sql
              • cr_dp_views.sql
              • cr_int_views.sql
              • cr_pr_cd_equality_report.sql
              • cr_bucket_using_width_bucket.sql
              • cr_bucket_dedicated_code.sql
              • do_assert_bucket_ok
              • cr_histogram.sql
              • cr_do_ntile.sql
              • cr_do_percent_rank.sql
              • cr_do_cume_dist.sql
              • do_populate_results.sql
              • do_report_results.sql
              • do_compare_dp_results.sql
              • do_demo.sql
              • Reports
                • Histogram report
                • dp-results
                • compare-dp-results
                • int-results
          • yb_hash_code()
        • Keywords
        • Reserved names
      • YCQL
        • ALTER KEYSPACE
        • ALTER ROLE
        • ALTER TABLE
        • CREATE INDEX
        • CREATE KEYSPACE
        • CREATE ROLE
        • CREATE TABLE
        • CREATE TYPE
        • DROP INDEX
        • DROP KEYSPACE
        • DROP ROLE
        • DROP TABLE
        • DROP TYPE
        • GRANT PERMISSION
        • GRANT ROLE
        • REVOKE PERMISSION
        • REVOKE ROLE
        • USE
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        • Simple expressions
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        • Collection
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        • INET
        • Integer and counter
        • Non-integer
        • TEXT
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        • UUID and TIMEUUID
        • JSONB
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        • BATCH
    • CLIs
      • yb-ctl
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    • Sample datasets
      • Chinook
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      • PgExercises
      • SportsDB
      • Retail Analytics
  • RELEASES
    • Releases overview
      • v2.15 series (preview)
      • v2.13 series
      • v2.12 series (stable)
      • v2.11 series
      • v2.9 series
      • v2.8 series
      • v2.7 series
      • v2.6 series
      • v2.5 series
      • v2.4 series
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> Deploy clusters > Create your cluster >

Replicate across regions Beta

Report a doc issue Suggest new content Contributor guide
  • Features
  • Prerequisites
  • Create a multi-region replicated cluster
    • General Settings
    • Cluster Setup
    • Database Credentials
  • Next steps

Clusters replicated across regions include a minimum of 3 nodes spread across 3 regions with a replication factor (RF) of 3. You can add or remove nodes in increments of 3 (each region has the same number of nodes).

Features

Multi-region replicated clusters include the following features:

  • Replicated synchronously across 3 regions with a replication factor (RF) of 3.
  • No limit on cluster size - choose any cluster size based on your use case.
  • Horizontal and vertical scaling - add or remove nodes and vCPUs, and add storage to suit your production loads.
  • VPC networking required.
  • Automated and on-demand backups.
  • Available in all regions.
  • Enterprise support.

Prerequisites

  • Multi-region clusters must be deployed in VPCs. Create a VPC for each region where you want to deploy the nodes in the cluster. YugabyteDB Managed supports AWC and GCP for peering. Refer to Create a VPC in AWS or Create a VPC in GCP.
  • Create a billing profile and add a payment method before you can create a Dedicated cluster. Refer to Manage your billing profile and payment method.

Create a multi-region replicated cluster

To create a multi-region replicated cluster, on the Clusters page, click Add Cluster, and choose Dedicated to start the Create Cluster wizard.

The Create Cluster wizard has the following pages:

  1. General Settings
  2. Cluster Setup
  3. DB Credentials

General Settings

Add Cluster Wizard - General Settings

Set the following options:

  • Cluster Name: Enter a name for the cluster.
  • Provider: Choose a cloud provider - AWS or GCP.
  • Database Version: By default, clusters are deployed using a stable release. If you want to use a preview release for a Dedicated cluster, click Optional Settings and choose a release. Before deploying a production cluster using a preview release, contact Yugabyte Support. If you have arranged a custom build with Yugabyte, it will also be listed here.

Cluster Setup

Select Multi-Region Deployment.

Set the following options:

  • Select data distribution mode

    Add Cluster Wizard - Multi-region data distribution

    • Data distribution - Choose Replicate across regions.
  • Select regions and node size

    Add Cluster Wizard - Multi-region and size

    • Regions - For each of the 3 regions, choose the region where the nodes will be located, and the VPC in which to deploy the nodes. Choose the number of nodes to deploy in the regions; each region has the same number of nodes. Only VPCs using the selected cloud provider are listed. The VPCs must be created before deploying the cluster. Refer to VPC networking.

    • Node size - enter the number of virtual CPUs per node and the disk size per node (in GB).

Monthly total costs for the cluster are estimated automatically. + Usage refers to any potential overages from exceeding the free allowances for disk storage, backup storage, and data transfer. For information on how clusters are costed, refer to Cluster costs.

Multi-Region clusters support both horizontal and vertical scaling; you can change the cluster configuration after the cluster is created using the Edit Configuration settings. Refer to Configure clusters.

Database Credentials

The database admin credentials are required to connect to the YugabyteDB database that is installed on the cluster.

You can use the default credentials generated by YugabyteDB Managed, or add your own.

For security reasons, the admin user does not have YSQL superuser privileges, but does have sufficient privileges for most tasks. For more information on database roles and privileges in YugabyteDB Managed, refer to Database authorization in YugabyteDB Managed clusters.

After the cluster is provisioned, you can add more users and change your password.

Add Cluster Wizard - Database credentials

Download the credentials, and click Create Cluster.

Important

Save your database credentials. If you lose them, you won't be able to use the database.

After you complete the wizard, the Clusters page appears, showing the provisioning of your new cluster in progress.

When the cluster is ready, the cluster Overview tab is displayed.

You now have a fully configured YugabyteDB cluster provisioned in YugabyteDB Managed with the database admin credentials you specified.

Next steps

  • Assign IP allow lists
  • Connect to your cluster
  • Add database users
  • Build an application
  • Database authorization in YugabyteDB Managed clusters
  • Features
  • Prerequisites
  • Create a multi-region replicated cluster
    • General Settings
    • Cluster Setup
    • Database Credentials
  • Next steps
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