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  • YUGABYTEDB CORE
    • Quick start
      • 1. Install YugabyteDB
      • 2. Create a local cluster
      • 3. Explore distributed SQL
      • 4. Build an application
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        • Introduction
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        • Analyzing queries with EXPLAIN
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      • Cluster management
        • Point-in-time recovery
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    • Develop
      • Learn app development
        • 1. SQL vs NoSQL
        • 2. Data modeling
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        • 5. Aggregations
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        • 7. Date and time
        • 8. Strings and text
        • 9. TTL for data expiration
      • Real-world examples
        • E-Commerce app
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      • Explore sample apps
      • Best practices
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    • Migrate
      • Migration process overview
      • Migrate from PostgreSQL
        • Convert a PostgreSQL schema
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    • Deploy
      • Deployment checklist
      • Manual deployment
        • 1. System configuration
        • 2. Install software
        • 3. Start YB-Masters
        • 4. Start YB-TServers
        • 5. Verify deployment
      • Kubernetes
        • Single-zone
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    • Benchmark
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        • Scaling queries
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    • Secure
      • Security checklist
      • Enable Authentication
        • Enable User Authentication
        • Configure ysql_hba_conf_csv
      • Authentication Methods
        • Password Authentication
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      • Role-Based Access Control
        • Overview
        • Manage Users and Roles
        • Grant Privileges
        • Row-Level Security (RLS)
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      • Encryption in Transit
        • Create server certificates
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        • Enable client-to-server encryption
        • Connect to Clusters
        • TLS and authentication
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      • Audit Logging
        • Configure Audit Logging
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    • Contribute
      • Core database
        • Contribution checklist
        • Build the source
        • Configure a CLion project
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  • YUGABYTE PLATFORM
    • Overview
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    • Install Yugabyte Platform
      • Prerequisites
      • Prepare the environment
      • Install software
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      • Create admin user
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      • Configure the backup target
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    • Create deployments
      • Multi-zone universe
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    • Manage deployments
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    • Administer Yugabyte Platform
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  • YUGABYTE CLOUD
    • Overview
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      • Explore distributed SQL
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        • Before you begin
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    • Administer Yugabyte Cloud
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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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    • Entity Framework
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  • 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
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      • Layered architecture
      • Query layer
        • Overview
      • DocDB transactions layer
        • Transactions overview
        • Transaction isolation levels
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      • DocDB sharding layer
        • Hash & range sharding
        • Tablet splitting
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      • DocDB replication layer
        • Replication
        • xCluster replication
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        • Change data capture (CDC)
      • DocDB storage layer
        • Persistence
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    • APIs
      • YSQL
        • The SQL language
          • SQL statements
            • ABORT
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            • ALTER DOMAIN
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            • ALTER POLICY
            • ALTER ROLE
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            • ALTER TABLE
            • ALTER USER
            • ANALYZE
            • BEGIN
            • CALL
            • COMMENT
            • COMMIT
            • COPY
            • CREATE AGGREGATE
            • CREATE CAST
            • CREATE DATABASE
            • CREATE DOMAIN
            • CREATE EXTENSION
            • 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 TABLE
            • CREATE TABLE AS
            • CREATE TRIGGER
            • CREATE TYPE
            • CREATE USER
            • CREATE VIEW
            • DEALLOCATE
            • DELETE
            • DO
            • DROP AGGREGATE
            • DROP CAST
            • DROP DATABASE
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            • DROP ROLE
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            • DROP TABLE
            • DROP TRIGGER
            • DROP TYPE
            • DROP USER
            • END
            • EXECUTE
            • EXPLAIN
            • GRANT
            • INSERT
            • LOCK
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            • SHOW
            • SHOW TRANSACTION
            • TRUNCATE
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            • 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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            • array of DOMAINs
            • Functions and operators
              • ANY and ALL
              • Array comparison
              • Array slice operator
              • Array concatenation
              • Array properties
              • array_agg(), unnest(), generate_subscripts()
              • array_fill()
              • array_position(), array_positions()
              • array_remove()
              • array_replace() / set value
              • array_to_string()
              • string_to_array()
          • Binary
          • Boolean
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          • Date and time
            • Conceptual background
            • Timezones and UTC offsets
              • Catalog views
              • Extended_timezone_names
                • Unrestricted full projection
                • Real timezones with DST
                • 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()
          • 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()
        • Extensions
        • Keywords
        • Reserved names
      • YCQL
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    • CLIs
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  • RELEASES
    • Releases overview
      • v2.13 series (latest)
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> Contribute > Core database >

Build the source code

Report a doc issue Suggest new content
  • Install necessary packages
  • Prepare build tools
  • Building the code
  • Build Java code
  • Build release package
  • macOS
  • CentOS
  • Ubuntu

Note

CentOS 7 is the recommended Linux development and production platform for YugabyteDB.

Install necessary packages

Update packages on your system, install development tools and additional packages:

sudo yum update
sudo yum groupinstall -y 'Development Tools'
sudo yum install -y ruby perl-Digest epel-release ccache git python2-pip python-devel python3 python3-pip python3-devel which
sudo yum install -y cmake3 ctest3 ninja-build

Prepare build tools

Make sure cmake/ctest binaries are at least version 3. On CentOS, one way to achieve this is to symlink them into /usr/local/bin.

sudo ln -s /usr/bin/cmake3 /usr/local/bin/cmake
sudo ln -s /usr/bin/ctest3 /usr/local/bin/ctest

You could also symlink them into another directory that is on your PATH.

Note

We also use Linuxbrew to provide some of the third-party dependencies on CentOS. Linuxbrew allows us to create a portable package that contains its own copy of glibc and can be installed on most Linux distributions. However, we are transitioning away from using Linuxbrew and towards native toolchains on various platforms.

Our build scripts may automatically install Linuxbrew in a directory such as /opt/yb-build/brew/linuxbrew-<version> or ~/.linuxbrew-yb-build/linuxbrew-<version>. There is no need to add any of those directories to PATH.

Building the code

Assuming this repository is checked out in ~/code/yugabyte-db, do the following:

cd ~/code/yugabyte-db
./yb_build.sh release

Note

If you see errors, such as g++: internal compiler error: Killed, the system has probably run out of memory. Try again by running the build script with less concurrency, for example, -j1.

The command above will build the release configuration, add the C++ binaries into the build/release-gcc-dynamic-ninja directory, and create a build/latest symlink to that directory.

Tip

You can find the binaries you just built in build/latest directory, which would be a symbolic link to build/release-gcc-dynamic-ninja in this case.

For Linux, it will first make sure our custom Linuxbrew distribution is installed into ~/.linuxbrew-yb-build/linuxbrew-<version>.

Build Java code

YugabyteDB core is written in C++, but the repository contains Java code needed to run sample applications. To build the Java part, you need:

  • JDK 8
  • Apache Maven.

Also make sure Maven's bin directory is added to your PATH (for example, by adding to your ~/.bashrc). See the example below (if you've installed Maven into ~/tools/apache-maven-3.6.3)

export PATH=$HOME/tools/apache-maven-3.6.3/bin:$PATH

For building YugabyteDB Java code, you'll need to install Java and Apache Maven.

Build release package

You can build a release package by executing:

$ ./yb_release
......
2020-10-27 20:52:27,978 [yb_release.py:283 INFO] Generated a package at '/home/user/code/yugabyte-db/build/yugabyte-2.5.1.0-8696bc05a97c4907b53d6446b5bfa7acb28ceef5-release-centos-x86_64.tar.gz'
  • Install necessary packages
  • Prepare build tools
  • Building the code
  • Build Java code
  • Build release package
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