Using VoltDB

Table of Contents

About This Book

1. Overview

1.1. What is VoltDB?

1.2. Who Should Use VoltDB

1.3. How VoltDB Works

1.3.1. Partitioning

1.3.2. Serialized (Single-Threaded) Processing

1.3.3. Partitioned vs. Replicated Tables

1.3.4. Ease of Scaling to Meet Application Needs

1.4. Working with VoltDB Effectively

2. Installing VoltDB

2.1. Operating System and Software Requirements

2.2. Installing VoltDB

2.2.1. Upgrading From Older Versions

2.2.2. Building a New VoltDB Distribution Kit

2.3. Setting Up Your Environment

2.4. What is Included in the VoltDB Distribution

2.5. VoltDB in Action: Running the Sample Applications

3. Starting the Database

3.1. Initializing and Starting a VoltDB Database

3.2. Initializing and Starting a VoltDB Database on a Cluster

3.3. Stopping a VoltDB Database

3.4. Saving the Data

3.5. Restarting a VoltDB Database

3.6. Updating Nodes on the Cluster

3.7. Defining the Cluster Configuration

3.7.1. Determining How Many Sites per Host

3.7.2. Configuring Paths for Runtime Features

3.7.3. Verifying your Hardware Configuration

4. Designing the Database Schema

4.1. How to Enter DDL Statements

4.2. Creating Tables and Primary Keys

4.3. Analyzing Data Volume and Workload

4.4. Partitioning Database Tables

4.4.1. Choosing a Column on which to Partition Table Rows

4.4.2. Specifying Partitioned Tables

4.4.3. Design Rules for Partitioning Tables

4.5. Replicating Database Tables

4.5.1. Choosing Replicated Tables

4.5.2. Specifying Replicated Tables

4.6. Modifying the Schema

4.6.1. Effects of Schema Changes on Data and Clients

4.6.2. Viewing the Schema

4.6.3. Modifying Tables

4.6.4. Adding and Dropping Indexes

4.6.5. Modifying Partitioning for Tables and Stored Procedures

5. Designing Stored Procedures to Access the Database

5.1. How Stored Procedures Work

5.1.1. VoltDB Stored Procedures are Transactional

5.1.2. VoltDB Stored Procedures are Deterministic

5.2. The Anatomy of a VoltDB Stored Procedure

5.2.1. The Structure of the Stored Procedure

5.2.2. Passing Arguments to a Stored Procedure

5.2.3. Creating and Executing SQL Queries in Stored Procedures

5.2.4. Interpreting the Results of SQL Queries

5.2.5. Returning Results from a Stored Procedure

5.2.6. Rolling Back a Transaction

5.3. Installing Stored Procedures into the Database

5.3.1. Compiling, Packaging, and Loading Stored Procedures

5.3.2. Declaring Stored Procedures in the Schema

5.3.3. Partitioning Stored Procedures in the Schema

6. Designing VoltDB Client Applications

6.1. Connecting to the VoltDB Database

6.1.1. Connecting to Multiple Servers

6.1.2. Using the Auto-Connecting Client

6.2. Invoking Stored Procedures

6.3. Invoking Stored Procedures Asynchronously

6.4. Closing the Connection

6.5. Handling Errors

6.5.1. Interpreting Execution Errors

6.5.2. Handling Timeouts

6.5.3. Writing a Status Listener to Interpret Other Errors

6.6. Compiling and Running Client Applications

6.6.1. Starting the Client Application

6.6.2. Running Clients from Outside the Cluster

7. Simplifying Application Development

7.1. Using Default Procedures

7.2. Shortcut for Defining Simple Stored Procedures

7.3. Verifying Expected Query Results

7.4. Scheduling Stored Procedures as Tasks

7.5. Directed Procedures: Distributing Transactions to Every Partition

8. Using VoltDB with Other Programming Languages

8.1. C++ Client Interface

8.1.1. Writing VoltDB Client Applications in C++

8.1.2. Creating a Connection to the Database Cluster

8.1.3. Invoking Stored Procedures

8.1.4. Invoking Stored Procedures Asynchronously

8.1.5. Interpreting the Results

8.2. JSON HTTP Interface

8.2.1. How the JSON Interface Works

8.2.2. Using the JSON Interface from Client Applications

8.2.3. How Parameters Are Interpreted

8.2.4. Interpreting the JSON Results

8.2.5. Error Handling using the JSON Interface

8.3. JDBC Interface

8.3.1. Using JDBC to Connect to a VoltDB Database

8.3.2. Using JDBC to Query a VoltDB Database

9. Using VoltDB in a Cluster

9.1. Starting a Database Cluster

9.2. Updating the Cluster Configuration

9.3. Elastic Scaling to Resize the Cluster

9.3.1. Adding Nodes with Elastic Scaling

9.3.2. Removing Nodes with Elastic Scaling

9.3.3. Configuring How VoltDB Rebalances Nodes During Elastic Scaling

10. Availability

10.1. How K-Safety Works

10.2. Enabling K-Safety

10.2.1. What Happens When You Enable K-Safety

10.2.2. Calculating the Appropriate Number of Nodes for K-Safety

10.3. Recovering from System Failures

10.3.1. What Happens When a Node Rejoins the Cluster

10.3.2. Where and When Recovery May Fail

10.4. Avoiding Network Partitions

10.4.1. K-Safety and Network Partitions

10.4.2. Using Network Fault Protection

11. Database Replication

11.1. How Database Replication Works

11.1.1. Starting Database Replication

11.1.2. Database Replication, Availability, and Disaster Recovery

11.1.3. Database Replication and Completeness

11.2. Using Passive Database Replication

11.2.1. Specifying the DR Tables in the Schema

11.2.2. Configuring the Clusters

11.2.3. Starting the Clusters

11.2.4. Loading the Schema and Starting Replication

11.2.5. Updating the Schema During Replication

11.2.6. Stopping Replication

11.2.7. Database Replication and Read-only Clients

11.3. Using Cross Datacenter Replication

11.3.1. Designing Your Schema for Active Replication

11.3.2. Configuring the Database Clusters

11.3.3. Starting the Database Clusters

11.3.4. Loading a Matching Schema and Starting Replication

11.3.5. Updating the Schema During Active Replication

11.3.6. Stopping Replication

11.3.7. Example XDCR Configurations

11.3.8. Understanding Conflict Resolution

11.4. Monitoring Database Replication

12. Security

12.1. How Security Works in VoltDB

12.2. Enabling Authentication and Authorization

12.3. Defining Users and Roles

12.4. Assigning Access to Stored Procedures

12.5. Assigning Access by Function (System Procedures, SQL Queries, and Default Procedures)

12.6. Using Built-in Roles

12.7. Encrypting VoltDB Communication Using TLS/SSL

12.7.1. Configuring TLS/SSL on the VoltDB Server

12.7.2. Choosing What Ports to Encrypt with TLS/SSL

12.7.3. Using the VoltDB Command Line Utilities with TLS/SSL

12.7.4. Implementing TLS/SSL in the Java Client Applications

12.7.5. Configuring Database Replication (DR) With TLS/SSL

12.8. Integrating Kerberos Security with VoltDB

12.8.1. Installing and Configuring Kerberos

12.8.2. Installing and Configuring the Java Security Extensions

12.8.3. Configuring the VoltDB Servers and Clients

12.8.4. Accessing the Database from the Command Line and the Web

13. Saving & Restoring a VoltDB Database

13.1. Performing a Manual Save and Restore of a VoltDB Cluster

13.1.1. How to Save the Contents of a VoltDB Database

13.1.2. How to Restore the Contents of a VoltDB Database Manually

13.1.3. Changing the Cluster Configuration Using Save and Restore

13.2. Scheduling Automated Snapshots

13.3. Managing Snapshots

13.4. Special Notes Concerning Save and Restore

14. Command Logging and Recovery

14.1. How Command Logging Works

14.2. Controlling Command Logging

14.3. Configuring Command Logging for Optimal Performance

14.3.1. Log Size

14.3.2. Log Frequency

14.3.3. Synchronous vs. Asynchronous Logging

14.3.4. Hardware Considerations

15. Streaming Data: Import, Export, and Migration

15.1. How Data Streaming Works in VoltDB

15.1.1. Understanding Import

15.1.2. Understanding Export

15.1.3. Understanding Migration

15.2. The Business Case for Streaming Data

15.2.1. Extract, Transform, Load (ETL)

15.2.2. Change Data Capture

15.2.3. Streaming Data Validation

15.2.4. Caching

15.2.5. Archiving

15.3. VoltDB Export Connectors

15.3.1. How Export Works

15.3.2. The File Export Connector

15.3.3. The HTTP Export Connector

15.3.4. The JDBC Export Connector

15.3.5. The Kafka Export Connector

15.3.6. The Elasticsearch Export Connector

15.4. VoltDB Import Connectors

15.4.1. Bulk Loading Data Using VoltDB Standalone Utilities

15.4.2. Streaming Import Using Built-in Import Features

15.4.3. The Kafka Importer

15.4.4. The Kinesis Importer

15.5. VoltDB Import Formatters

A. Supported SQL DDL Statements

ALTER STREAM — Modifies an existing stream definition.

ALTER TABLE — Modifies an existing table definition.

ALTER TASK — Modifies an existing task schedule.

CREATE AGGREGATE FUNCTION — Defines an aggregate SQL function and associates it with a Java class.

CREATE FUNCTION — Defines a SQL scalar function and associates it with a Java method.

CREATE INDEX — Creates an index for faster access to a table.

CREATE PROCEDURE AS — Defines a stored procedure composed of one or more SQL statements.

CREATE PROCEDURE FROM CLASS — Defines a stored procedure associated with a Java class.

CREATE ROLE — Defines a role and the permissions associated with that role.

CREATE STREAM — Creates an output stream in the database.

CREATE TABLE — Creates a table in the database.

CREATE TASK — Schedules a procedure to run periodically.

CREATE VIEW — Creates a view into one or more tables, optimizing access to a summary of their contents.

DR TABLE — Identifies a table as a participant in database replication (DR)

DROP FUNCTION — Removes the definition of a SQL function.

DROP INDEX — Removes an index.

DROP PROCEDURE — Removes the definition of a stored procedure.

DROP ROLE — Removes a role.

DROP STREAM — Removes a stream and, optionally, any views associated with it.

DROP TABLE — Removes a table and any data associated with it.

DROP TASK — Removes a task and cancels any future execution.

DROP VIEW — Removes a view and any data associated with it.

PARTITION PROCEDURE — Specifies that a stored procedure is partitioned.

PARTITION TABLE — Specifies that a table is partitioned and which is the partitioning column.

B. Supported SQL Statements

DELETE — Deletes one or more records from the database.

INSERT — Creates new rows in the database, using the specified values for the columns.

MIGRATE — queues table rows for migration to an export target.

SELECT — Fetches the specified rows and columns from the database.

TRUNCATE TABLE — Deletes all records from the specified table.

UPDATE — Updates the values within the specified columns and rows of the database.

UPSERT — Either inserts new rows or updates existing rows depending on the primary key value.

C. SQL Functions

ABS() — Returns the absolute value of a numeric expression.

APPROX_COUNT_DISTINCT() — Returns an approximate count of the number of distinct values for the specified column expression.

AREA() — Returns the area of a polygon in square meters.

ARRAY_ELEMENT() — Returns the element at the specified location in a JSON array.

ARRAY_LENGTH() — Returns the number of elements in a JSON array.

ASTEXT() — Returns the Well Known Text (WKT) representation of a GEOGRAPHY or GEOGRAPHY_POINT value.

AVG() — Returns the average of a range of numeric column values.

BIN() — Returns the binary representation of a BIGINT value as a string.

BIT_SHIFT_LEFT() — Shifts the bits of a BIGINT value to the left a specified number of places.

BIT_SHIFT_RIGHT() — Shifts the bits of a BIGINT value to the right a specified number of places.

BITAND() — Returns the mask of bits set in both of two BIGINT values

BITNOT() — Returns the mask reversing every bit of a BIGINT value.

BITOR() — Returns the mask of bits set in either of two BIGINT values

BITXOR() — Returns the mask of bits set in one but not both of two BIGINT values

CAST() — Explicitly converts an expression to the specified datatype.

CEILING() — Returns the smallest integer value greater than or equal to a numeric expression.

CENTROID() — Returns the central point of a polygon.

CHAR() — Returns a string with a single UTF-8 character associated with the specified character code.

CHAR_LENGTH() — Returns the number of characters in a string.

COALESCE() — Returns the first non-null argument, or null.

CONCAT() — Concatenates two or more strings and returns the result.

CONTAINS() — Returns true or false depending if a point falls within the specified polygon.

COS() — Returns the cosine of an angle specified in radians.

COT() — Returns the cotangent of an angle specified in radians.

COUNT() — Returns the number of rows selected containing the specified column.

CSC() — Returns the cosecant of an angle specified in radians.

CURRENT_TIMESTAMP() — Returns the current time as a timestamp value.

DATEADD() — Returns a new timestamp value by adding a specified time interval to an existing timestamp value.

DAY(), DAYOFMONTH() — Returns the day of the month as an integer value.

DAYOFWEEK() — Returns the day of the week as an integer between 1 and 7.

DAYOFYEAR() — Returns the day of the year as an integer between 1 and 366.

DECODE() — Evaluates an expression against one or more alternatives and returns the matching response.

DEGREES() — Converts an angle in radians to degrees

DISTANCE() — Returns the distance between two points or a point and a polygon.

DWITHIN() — Returns true or false depending whether two geospatial entities are within a specified distance of each other.

EXP() — Returns the exponential of the specified numeric expression.

EXTRACT() — Returns the value of a selected portion of a timestamp.

FIELD() — Extracts a field value from a JSON-encoded string column.

FLOOR() — Returns the largest integer value less than or equal to a numeric expression.

FORMAT_CURRENCY() — Converts a DECIMAL to a text string as a monetary value.

FORMAT_TIMESTAMP() — Takes a timestamp as input and returns a formatted string in the specified timezone.

FROM_UNIXTIME() — Converts a UNIX time value to a VoltDB timestamp.

HEX() — Returns the hexadecimal representation of a BIGINT value as a string.

HOUR() — Returns the hour of the day as an integer value.

INET6_ATON() — Converts an IPv6 internet address from a string to a VARBINARY(16) value

INET6_NTOA() — Converts an IPv6 internet address from a VARBINARY(16) value to a string

INET_ATON() — Converts an IPv4 internet address from a string to a numeric value

INET_NTOA() — Converts an IPv4 internet address from a numeric value to a string

ISINVALIDREASON() — Explains why a GEOGRAPHY polygon is invalid

ISVALID() — Determines if the specified GEOGRAPHY value is a valid polygon.

IS_VALID_TIMESTAMP() — Identifies whether a given value is a valid timestamp.

LATITUDE() — Returns the latitude of a GEOGRAPHY_POINT value.

LEFT() — Returns a substring from the beginning of a string.

LN(), LOG() — Returns the natural logarithm of a numeric value.

LOG10() — Returns the base-10 logarithm of a numeric value.

LONGITUDE() — Returns the longitude of a GEOGRAPHY_POINT value.

LOWER() — Returns a string converted to all lowercase characters.

MAKEVALIDPOLYGON() — Attempts to return a valid GEOGRAPHY value from a GEOGRAPHY polygon

MAX() — Returns the maximum value from a range of column values.

MAX_VALID_TIMESTAMP() — Returns the maximum valid timestamp.

MIGRATING() — Identifies table rows currently migrating to an export target.

MIN() — Returns the minimum value from a range of column values.

MIN_VALID_TIMESTAMP() — Returns the minimum valid timestamp.

MINUTE() — Returns the minute of the hour as an integer value.

MOD() — Returns the result of a modulo operation.

MONTH() — Returns the month of the year as an integer value.

NOW() — Returns the current time as a timestamp value.

NUMINTERIORRINGS() — Returns the number of interior rings within a polygon GEOGRAPHY value.

NUMPOINTS() — Returns the number of points within a polygon GEOGRAPHY value.

OCTET_LENGTH() — Returns the number of bytes in a string.

OVERLAY() — Returns a string overwriting a portion of the original string with the specified replacement.

PI() — Returns the value of the mathematical constant pi (π) as a FLOAT value.

POINTFROMTEXT() — Returns a GEOGRAPHY_POINT value from the corresponding WKT

POLYGONFROMTEXT() — Returns a GEOGRAPHY value from the corresponding WKT

POSITION() — Returns the starting position of a substring in another string.

POWER() — Returns the value of the first argument raised to the power of the second argument.

QUARTER() — Returns the quarter of the year as an integer value

RADIANS() — Converts an angle in degrees to radians

REGEXP_POSITION() — Returns the starting position of a regular expression within a text string.

REPEAT() — Returns a string composed of a substring repeated the specified number of times.

REPLACE() — Returns a string replacing the specified substring of the original string with new text.

RIGHT() — Returns a substring from the end of a string.

ROUND() — Returns a numeric value rounded to the specified decimal place

SEC() — Returns the secant of an angle specified in radians.

SECOND() — Returns the seconds of the minute as a floating point value.

SET_FIELD() — Returns a copy of a JSON-encoded string, replacing the specified field value.

SIN() — Returns the sine of an angle specified in radians.

SINCE_EPOCH() — Converts a VoltDB timestamp to an integer number of time units since the POSIX epoch.

SPACE() — Returns a string of spaces of the specified length.

SQRT() — Returns the square root of a numeric expression.

STR() — Returns the string representation of a numeric value.

SUBSTRING() — Returns the specified portion of a string expression.

SUM() — Returns the sum of a range of numeric column values.

TAN() — Returns the tangent of an angle specified in radians.

TO_TIMESTAMP() — Converts an integer value to a VoltDB timestamp based on the time unit specified.

TRIM() — Returns a string with leading and/or training spaces removed.

TRUNCATE() — Truncates a VoltDB timestamp to the specified time unit.

UPPER() — Returns a string converted to all uppercase characters.

VALIDPOLYGONFROMTEXT() — Returns a validated GEOGRAPHY value from the corresponding WKT

WEEK(), WEEKOFYEAR() — Returns the week of the year as an integer value.

WEEKDAY() — Returns the day of the week as an integer between 0 and 6.

YEAR() — Returns the year as an integer value.

D. VoltDB CLI Commands

csvloader — Imports the contents of a CSV file and inserts it into a VoltDB table.

jdbcloader — Extracts a table from another database via JDBC and inserts it into a VoltDB table.

kafkaloader — Imports data from a Kafka message queue into the specified database table.

sqlcmd — Starts an interactive command prompt for issuing SQL queries to a running VoltDB database

voltadmin — Performs administrative functions on a VoltDB database.

voltdb — Performs management tasks on the current server, such as starting and recovering the database.

voltsql — An interactive command interface for issuing SQL queries to a running VoltDB database

E. Configuration File (deployment.xml)

E.1. Understanding XML Syntax

E.2. The Structure of the Configuration File

F. VoltDB Datatype Compatibility

F.1. Java and VoltDB Datatype Compatibility

G. System Procedures

@AdHoc — Executes an SQL statement specified at runtime.

@Explain — Returns the execution plan for the specified SQL query.

@ExplainProc — Returns the execution plans for all SQL queries in the specified stored procedure.

@ExplainView — Returns the execution plans for the components of the specified view.

@GetPartitionKeys — Returns a list of partition values, one for every partition in the database.

@Pause — Initiates read-only mode on the cluster.

@Ping — Indicates whether the database is currently running.

@Promote — Promotes a replica database to normal operation.

@QueryStats — Queries statistics like a SQL table.

@Quiesce — Waits for all queued export and DR data to be processed or saved to disk

@Resume — Returns a paused database to normal operating mode.

@Shutdown — Shuts down the database.

@SnapshotDelete — Deletes one or more native snapshots.

@SnapshotRestore — Restores a database from disk using a native format snapshot.

@SnapshotSave — Saves the current database contents to disk.

@SnapshotScan — Lists information about existing native snapshots in a given directory path.

@Statistics — Returns statistics about the usage of the VoltDB database.

@StopNode — Stops a VoltDB server process, removing the node from the cluster.

@SwapTables — Swaps the contents of one table for another

@SystemCatalog — Returns metadata about the database schema.

@SystemInformation — Returns configuration information about VoltDB and the individual nodes of the database cluster.

@UpdateApplicationCatalog — Reconfigures the database by replacing the configuration file.

@UpdateClasses — Adds and removes Java classes from the database.

@UpdateLogging — Changes the logging configuration for a running database.