The following limitations in previous versions have been resolved:

The following limitations in previous versions have been resolved:

Short VARCHAR and VARBINARY strings are stored inline in the database record. Longer strings are managed in a separate pool using pointers. With this release the pointers used to manage longer string values have been optimized, reducing their size from 24 bytes per string to just 8 bytes. This reduces the overall memory required for databases with long string columns. Also, for performance reasons, the memory for string pointers is managed as a pool rather than being returned to the operating system with each DELETE operation. Consequently, optimizing the pointer size reduces the overall size of the pool retained by VoltDB when large numbers of string values are deleted (for example, after a TRUNCATE TABLE statement).

The following limitations in previous versions have been resolved:

In previous releases, under certain circumstances, starting VoltDB on Macintosh OS X could result in an allocation (malloc) error and segmentation fault. This problem has been fixed.

Transparent Huge Pages (THP) are a new feature in recent Linux releases (Ubuntu starting with 14.04 and RHEL 6.x) that can cause issues for memory-intensive application like VoltDB. Consequently, VoltDB will now check for THP and refuse to start if they are enabled. See the VoltDB Administrator's Guide for instructions on disabling THP.

VoltDB is adding a new feature that allows data to be imported automatically when the database starts, in much the same way the existing export feature lets you export data. For the initial beta release, a Kafka importer is provided. You can learn more in the combined import and export chapter of the Using VoltDB manual. Note: this feature is a beta release and should not be used for production systems.

The Kafka export connector has been updated to support the latest Kafka release, version 0.8.2. This version of Kafka significantly changes how Kafka producers work and so the properties for configuring Kafka export have changed as well. For example, the producer.type property is no longer valid. Customers currently using Kafka export may need to change their deployment files when upgrading. Please read the section on Kafka Export in the Using VoltDB manual for details.

A new export connector is available that exports data to Elasticsearch. Elasticsearch is a full-text search service that makes it possible to search VoltDB data more flexibly and faster than using VoltDB alone. See the section on Elasticsearch export in the Using VoltDB manual for details.

K-safety increases the availability of a VoltDB database by duplicating partitions on different servers. By default, K-safety assumes all servers are distinct. However, in reality this is not always the case, for example in virtualized or hosted environments where multiple virtual servers could be running on the same hardware or on a rack sharing a power supply.

You can now provide hints to the cluster to improve the placement of duplicate partitions. The --placement-group flag to the voltdb create or recover commands lets you specify a group of names, separated by periods, that specify the location of the server process. For example:

$ voltdb create --placement-group=row5.rack3.server12 

On startup, the cluster compares the placement strings of each server to optimize the distribution of the partitions. See the voltdb command reference page for details.

A Wireshark plugin for analyzing the network connections between VoltDB servers and clients is now available from the VoltDB github repository. The plugin is provided “as is” as a courtesy to our users. See the included README for more information.

The new LN() function returns the natural logarithm of a numeric value. You can also use LOG() as a synonym for LN().

A new function, APPROX_COUNT_DISTINCT(), returns an approximation of the number of distinct values for a specified column expression. APPROX_COUNT_DISTINCT(expression) can be significantly faster and use less temporary memory than the corresponding COUNT(DISTINCT expression) function, especially when aggregating values across partitions.

The csvloader and kafkaloader utilities let you load data from external sources into a VoltDB database. By default, these utilities use INSERT statements to import the data, assuming there are no duplicates. However, you can now have these utilities use UPSERT to update existing records (or create new records where corresponding records do not exist) by including the --update flag. To use --update you must specify a table name rather than an input procedure and the table must have a primary key. See the csvloader and kafkaloader reference pages for details.

Another new flag for the csvloader utility is the --noquotechar tag. The --quotechar flag lets you specify the character for quoting values, which defaults to ASCII character 34, the quotation mark. The --noquotechar flag disables quoting and ensures the quotation mark is interpreted as a literal string character. Only the value separator and line delimiter then have special meaning in the input stream.

The configuration and startup of database replication (DR) have been simplified. The listen=”true” attribute is no longer needed on the <dr> tag in the deployment file — listening is enabled by default. Also, rather than editing the deployment file and performing a voltadmin update to clear the DR buffers, there is a single command, voltadmin dr reset, that can break replication and clear any pending logs on the master database. Finally, it is now possible to change the replica database's <connection> source attribute after the database has started. These improvements are reflected in the instructions for using DR in the Using VoltDB manual.

A number of changes and enhancements have been made to the JDBC interface to provide additional capabilities and better conformance with other JDBC implementations. Improvements include:

In addition to the new features and capabilities described above, the following limitations in previous versions have been resolved:

There were edge cases where certain SQL queries with outer joins of three or more tables could return incorrect answers. This problem has been fixed.

By default, query timeouts, as set by the JDBC setQueryTimeout function, are measured in seconds. However, it is now possible to define the timeout in more precise increments by changing the scale of the timeout function to milliseconds. You do this by adding the millisecond scale factor to the JDBC connection string. For example, the following code changes the timeout scale and then sets a timeout of 2500 millisecond (or 2.5 seconds):

Connection conn = DriverManager.getConnection(
    url + "?jdbc.querytimeout.unit=milliseconds");
            
Statement query = conn.createStatement();
query.setQueryTimeout(2500);

VoltDB supports a DECIMAL datatype with a fixed scale of 12. Previously passing a decimal value with a scale greater than 12 to VoltDB resulted in a run-time error. This behavior has changed and VoltDB now rounds values with a scale greater than 12 to the closest 12 decimal places.

It is now possible to debug VoltDB client applications and stored procedures using Eclipse. Please see the VoltDB Github wiki for instructions.

The requirement that a view definition contain a GROUP BY clause has been removed. It is now possible to create views containing aggregate functions, such as COUNT(*) , MAX(), MIN(), and SUM() without a GROUP BY clause. See the description of the CREATE VIEW statement in the Using VoltDB manual for details.

This release adds the MOD() function, which performs a modulo operation on two integer values. The first argument is the dividend and the second is the divisor and the function returns the remainder of dividing the first by the second. For example MOD(12,5) returns the value 2. See the Using VoltDB manual for details.

The behavior of Admin Mode has been changed. Previously, a database in Admin Mode rejected all requests on the client port. Now Admin Mode operates as a read-only mode for the database. All write requests on the client port are rejected, but read-only transactions (and read-only system procedures) are allowed. As before, both read-only and read/write transactions are allowed on the admin port.

The @Statistics system procedure supports a new selector, COMMANDLOG, which returns information about the status of command logging on the database cluster. See the discussion of @Statistcs in the Using VoltDB manual for details.

The web-based management tool, VoltDB Management Center, continues to be extended and enhanced. New features of the Management Center in this release include:

Several optimizations have been applied to database replication (DR) to improve overall performance and reliability, including compression of the binary logs. Users of V5.3 are strongly encouraged to upgrade, as the current release corrects a known issue with V5.3 related to restarting DR after a system crash or maintenance window.

Subquery support has been refined to improve reliability in a number of edge cases. Upgrading is strongly recommended for customers using subqueries in their applications.

VoltDB now interprets numeric constants containing a decimal point but not in E notation, such as "456.123", as DECIMAL values. Previously VoltDB interpreted such constants as floating point values. This change is being made for consistency with the SQL standard and other SQL implementations. To specify a floating point constant, use E notation (e.g. "4.56123e2").

In addition to the new features and capabilities described above, the following limitations in previous versions have been resolved:

Previously it was possible to use subqueries in the FROM clause of a SELECT statement. Now subqueries are supported in many more situations. Scalar subqueries, which return a single value, can be used in most cases where SQL functions can be used. Non-scalar subqueries, which return multiple rows or multiple columns per row, can be used in array comparisons and in the IN and EXISTS predicates.

Subqueries are valid only in the SELECT statement. They cannot be used in other SQL statements or index definitions. Also, for the initial release of extended subquery support, only replicated tables can be used in subqueries outside of the FROM clause.

The VoltDB Management Center contains a number of improvements and new capabilities, including:

When processing ad hoc queries that use parameters and placeholders (rather than a single SQL statement as a text string), VoltDB now makes use of previously cached queries to significantly improve performance for repeated queries. This can be most notable for JDBC prepared statements that are implemented as ad hoc queries with parameters.

The python client library has been updated to support SHA-256 hashing of passwords when authenticating to servers with security enabled.

In addition to the new features and capabilities described above, the following limitations in previous versions have been resolved:

There was in issue in earlier releases where, if the target of export or database replication (DR) stalled, the sending cluster buffers queued data to disk. However, this did not properly free the associated memory; and so memory usage would increase. It was possible, if the service buffered data to disk for an extended period of time, that the server process could run out of memory.

This issue has been resolved and memory associated with data buffered to disk is released appropriately. Note however, that even if excessive memory usage is no longer a problem, you should always try to resolve issues with stalled downstream systems when using export or DR because buffered data could eventually exceed disk storage capacity.

The C++ client library has been updated to support SHA-256 hashing of passwords when authenticating to servers with security enabled. By default, the client supports past and present server versions by using SHA-1 hashing. However, when connecting to VoltDB 5.2 and later servers, you can use SHA-256 hashing by specifying the hash type in the client configuration. For example:

voltdb::ClientConfig config("myusername", 
                            "mypassword", 
                            voltdb::HASH_SHA256);
voltdb::Client client = voltdb::Client::create(config);

Now both the Java and C++ client libraries support SHA-256 hashing. The new C++ client is available from the VoltDB client downloads page.

VoltDB 5.2 introduced use of SHA-2 hashing for authentication. This release brings the voltdb mask function up to date with the new authentication scheme. For customers using the mask function, be sure to re-hash your deployment file using the 5.2.1 voltdb mask command and use the newly hashed deployment file when starting the database to ensure all command utilities can authenticate properly.

Previously, database replication (DR) was able to continue despite individual node failures (in a K-safe environment). However failure of either the master or replica cluster would force a restart of DR. Beginning with 5.2, DR can resume across cluster failures when either the master or replica is recovered from command logs. See the chapter on "Database Replication" in the Using VoltDB manual for details.

The HTTP export connector now supports the use of Kerberos authentication when exporting to a WebHDFS endpoint that is configured to use Kerberos. See the section on using the HTTP export connector in the Using VoltDB manual for details.

VoltDB now supports partial indexes. That is, the index definition can contain a WHERE clause limiting the rows that are included in the index. For example:

CREATE INDEX completed_tasks 
    ON tasks (task_id, startdate, enddate)
    WHERE enddate IS NOT NULL;

For the initial release of partial indexes, there are certain limitations on when and where such indexes and the tables associated with them can be modified. For now, you cannot use the ALTER TABLE statement to modify a table with a partial index. This limitation is expected to be relaxed in a future release.

The Management Center, VoltDB's web-based management console, continues to be extended and improved. This release contains two major new features:

VoltDB now supports several new functions for performing bitwise operations on BIGINT values. The new functions support standard binary operands such as AND, OR, XOR, and NOT as well as bit shifting operations. See the reference pages for the BITAND(), BITNOT(), BITOR(), BITXOR(), BIT_SHIFT_LEFT(), and BIT_SHIFT_RIGHT() functions in the Using VoltDB manual for details.

Another new function, HEX(), converts a BIGINT value into its hexadecimal representation as a string. See the reference page for the HEX() function in the Using VoltDB manual for details.

VoltDB now supports SHA-2 hashing of credentials between the Java and c++ client libraries and the server. When you pass a username and password, the updated client library uses a SHA-2 hash of the credentials. On the server side, the VoltDB server accepts both SHA-1 (sent by previous versions of the client) and SHA-2. So both current and previous versions of the client libraries continue to work with the latest server release.

The VoltDB command line utility, voltadmin, now supports the stop command. The voltadmin stop command stops the VoltDB server process on the specified node. Note that the stop command can only be used on a K-safe cluster and will not intentionally shutdown the database. That is, the command will only stop a node if there are enough nodes left for the cluster to remain viable.

In addition to the new features and capabilities described above, the following limitations in previous versions have been resolved:

When database replication starts, a snapshot is sent from the master database to the replica. In this release several I/O improvements have been made to improve the performance and reliability of the initial DR snapshot.

There was an issue with how multiple buffers were grouped and managed in DR, which could result in decreased replication throughput. This issue has been resolved.

Changes in VoltDB 5.1 introduced a process that, when the database was idle, would "spin" making it appear that the database was consuming significant CPU cycles. When the database was active processing queries, the CPU usage would drop to normal levels.

Although not dangerous, this behavior was misleading and is corrected by the current update.

Database Replication (DR) lets you automatically copy updates to database tables from one database (the master) to another (the replica). Starting with VoltDB 5.1, DR has been rewritten to remove any single point of failure, improve performance, and allow new capabilities in the future. New features include:

For existing DR customers, the new capabilities and the elimination of the DR agent do necessitate some operational changes. Specifically, you must now:

See the chapter on Database Replication in the Using VoltDB manual for details.

VoltDB now allows you to export data to more than one target at a time. By assigning export tables to individual streams and then configuring each stream separately in the deployment file, you can export data to multiple targets simultaneously. For example, you might export deduped sensor data to Hadoop once it has been processed and export alerts regarding unusual events to HTTP for distribution via SMS, email, or other notification service. See the chapter on exporting live data in the Using VoltDB manual for details.

Use of multiple streams does require additional information in the schema and the deployment file. For example, the EXPORT TABLE statement now requires a TO STREAM clause so you can specify the stream to which each export table is directed. However, for backwards compatibility, the old syntax is still supported temporarily to allow customers time to migrate existing applications at their convenience.

VoltDB 5.0 introduced interactive DDL, eliminating the need for a precompiled application catalog. However, large schema could take a significant time to process interactively. VoltDB 5.1 solves this problem by allowing you to batch DDL statements. If you have your DDL statements in a single file, you can use the file --batch directive in sqlcmd to batch process the DDL statements. For example:

$ sqlcmd
1> file --batch myschema.sql;

If you have a mix of DDL (data definition language) statements and DML (data manipulation language) and directives you can batch process only the DDL statements by enclosing them in a file --inlinebatch directive and the specified end marker. For example:

load classes myprocs.jar;
file --inlinebatch END_OF_BATCH
CREATE PROCEDURE FROM CLASS procs.AddEmp;
CREATE PROCEDURE FROM CLASS procs.ChangeDept;
PARTITION PROCEDURE AddEmp ON TABLE emp COLUMN empid;
PARTITION PROCEDURE ChangeDept ON TABLE emp COLUMN empid;
END_OF_BATCH

Batch processing DDL statements can speed up the processing of those statements by a factor of 10 or more, depending on the number and complexity of the statements and the size of the cluster.

VoltDB Management Center, the web-based console for managing and monitoring a VoltDB database, now has a tab for administrative functions. On the Admin tab, you can pause and resume the database, save and restore snapshots, as well as review and update the database configuration. If security is enabled for the database, only users with the ADMIN permission can see and use the Admin tab in the Management Center.

In addition to the new features and capabilities described above, the following limitations in previous versions have been resolved:

There was an issue in earlier releases where using an INSERT INTO SELECT statement with an export table as the target for the insert either generated a null pointer exception or did not insert the expected data into the export stream. The issue only applies to INSERT INTO SELECT as an ad hoc query or within a multi-partitioned stored procedure.

These issues have now been corrected.

There was an issue in previous versions (starting with VoltDB 4.8), where if a query runs for a significant amount of time, VoltDB attempts to log a warning. However, the warning generates an error (index out of bounds) and stops the database.

This issue is now fixed.

In the original 5.0 release, any sqlcmd input line beginning with "file" (regardless of upper or lowercase) was interpreted as a file directive, even in the middle of a multi-line statement. This would happen, for example, if a CREATE TABLE statement included a column name starting with "file":

CREATE TABLE archive (
   ID INTEGER,
   Directory VARCHAR(128),
   Filename VARCHAR(128)
);

This usually resulted in several errors and the intended statement not being interpreted correctly. This issue is now fixed.

The major new feature in VoltDB 5.0 is the ability to enter data definition language (DDL) statements interactively. For example, using sqlcmd on the command line or the VoltDB Management Center SQL Query interface. This makes the process of creating a database and defining the schema more flexible. As part of the support for interactive DDL, the following features have been added:

Pleased note that processing DDL interactively can take longer than compiling an application catalog all at once. This is most noticeable when processing a large schema and especially on a multi-node cluster (where each change must be coordinated among the servers).

If you find entering DDL interactively too slow, it is possible to revert to precompiling the schema before starting the database. You have two choices:

Performance improvements for processing large schemas interactively are expected in upcoming releases.

The LIMIT PARTITION ROWS constraint now supports an EXECUTE clause that lets you specify a DELETE statement that is executed when the constraint value is exceeded. The EXECUTE clause gives you the ability to automatically "prune" older data when the constraint is reached. See the description of the CREATE TABLE statement in the Using VoltDB manual for details.

The HTTP connector, now supports Apache HttpFS (Hadoop HDFS over HTTP) servers as a target when exporting using the WebHDFS protocol. Set the export property httpfs.enable to "true" when exporting to HttpFS servers.

It is now possible to use the ORDER BY clause with LIMIT and/or OFFSET when performing a DELETE operation. ORDER BY allows you to more selectively remove database rows. For example, the following DELETE query removes the five oldest records, based on a timestamp column:

DELETE FROM events ORDER BY event_time ASC LIMIT 5;

Note that DELETE queries that include the ORDER BY clause must be single-partitioned and the ORDER BY clause must be deterministic. See the description of the DELETE statement in the Using VoltDB manual for details.

In addition to the new features listed above, VoltDB V5.0 includes fixes to several known issues:

There is an issue where, if the command log contains schema changes (performed through interactive DDL statements, voltadmin update, or @UpdateApplicationCatalog), when the command logs are recovered, the previous deployment file settings are used, even if an alternate deployment file is specified on the voltdb recover command line. Then, after recovering the database, a new schema update can result in the deployment settings specified on the command line taking affect.

Until this issue is resolved, the safest workaround to ensure the desired configuration is achieved is to perform the voltdb recover operation without modifying the current deployment file, then make deployment changes with the voltadmin update command after the database has started.

To ensure complete and accurate restoration of a database, recovery using command logs can only be performed to a cluster with the same number of unique partitions as the cluster that created the logs. If you restart and recover to the same cluster with the same deployment options, there is no problem. But if you change the deployment options for number of nodes, sites per host, or K-safety, recovery may not be possible.

For example, if a four node cluster is running with four sites per host and a K-safety value of one, the cluster has two copies of eight unique partitions (4 X 4 / 2). If one server fails, you cannot recover the command logs from the original cluster to a new cluster made up of the remaining three nodes, because the new cluster only has six unique partitions (3 X 4 / 2). You must either replace the failed server to reinstate the original hardware configuration or otherwise change the deployment options to match the number of unique partitions. (For example, increasing the site per host to eight and K-safety to two.)

VoltDB reserves the subfolder "segments" under the command log directory for storing the actual command log files. Do not add, remove, or modify any files in this directory. In particular, do not set the command log snapshot directory to a subfolder "segments" of the command log directory, or else the server will hang on startup.

Because DR data is buffered on the master database and then delivered asynchronously to the replica, there is always the danger that data does not reach the replica if a master node stops. This situation is mitigated in a K-safe environment by all copies of a partition buffering on the master cluster. Then if a sending node goes down, another node on the master database can take over sending logs to the replica. However, if multiple nodes go down and rejoin in rapid succession, it is possible that some buffered DR data — from transactions when one or more nodes were down — could be lost when another node with the last copy of that buffer also goes down.

If this occurs and the replica recognizes that some binary logs are missing, DR stops and must be restarted.

To avoid this situation, especially when cycling through nodes for maintenance purposes, the key is to ensure that all buffered DR data is transmitted before stopping the next node in the cycle. You can do this using the @Statistics system procedure to make sure the last ACKed timestamp (using @Statistitcs DR on the master cluster) is later than the timestamp when the previous node completed its rejoin operation.

A bug in the Apache Kafka client can result in file descriptors being allocated but not released if the producer.type attribute is set to "sync" (which is the default). The consequence is that the system eventually runs out of file descriptors and the VoltDB server process will crash.

Until this bug is fixed, use of synchronous Kafka export is not recommended. The workaround is to set the Kafka producer.type attribute to "async" using the VoltDB export properties.

The new import feature is a beta release intended to demonstrate upcoming capabilities. However, it is not yet fully integrated with other VoltDB capabilities. As a result, there are situations that can result in broken or incomplete import. For example, any schema changes or cluster topology changes (such as adding or rejoining nodes) can result in certain Kafka topics not being read. Similarly, if import starts before the specified input procedure is loaded and defined, data may be read from Kafka but fail to be inserted into the VoltDB database.

These limitations will be corrected in future releases. In the meantime, the recommended procedures for customers interested in testing the import function are:

When entering a multi-line statement at the sqlcmd prompt, if a line ends in a comment (indicated by two hyphens) and the comment contains an unmatched single quote character, the following lines of input are not interpreted correctly. Specifically, the comment is incorrectly interpreted as continuing until the next single quote character or a closing semi-colon is read. This is most likely to happen when reading in a schema file containing comments. This issue is specific to the sqlcmd utility.

A fix for this condition is planned for an upcoming point release

VoltDB currently intercepts assertions as part of its handling of stored procedures. Attempts to use assertions in stored procedures for debugging or to find programmatic errors will not work as expected.

The UPPER() and LOWER() functions return a string converted to all uppercase or all lowercase letters, respectively. However, for the initial release, these functions only operate on characters in the ASCII character set. Other case-sensitive UTF-8 characters in the string are returned unchanged. Support for all case-sensitive UTF-8 characters will be included in a future release.

There is a problem with how the math library used to build the C++ client library handles large decimal values on 32-bit operating systems. As a result, the C++ library cannot serialize and pass Decimal datatypes reliably on these systems.

Note that the C++ client interface can send and receive Decimal values properly on 64-bit platforms.

Normally, manual snapshots (those created with the Take a Snapshot button) are copied to the management server. However, if automated snapshots are also being created and copied to the management server, it is possible for an automated snapshot to override the manual snapshot.

If this happens, the workaround is to turn off automated snapshots (and their copying) temporarily. To do this, uncheck the box for copying snapshots, set the frequency to zero, and click OK. Then re-open the Edit Snapshots dialog and take the manual snapshot. Once the snapshot is complete and copied to the management server (that is, the manual snapshot appears in the list on the dialog box), you can re-enable copying and automated snapshots.

When the Enterprise Manager starts, it unpacks files that the web server uses into a subfolder of the /tmp directory. It does not delete these files when it stops. Under normal operation, this is not a problem. However, if you upgrade to a new version of the Enterprise Edition, files for the new version become intermixed with the older files and can result in the Enterprise Manager starting databases using the wrong version of VoltDB. To avoid this situation, make sure these temporary files are deleted before starting a new version of VoltDB Enterprise Manager.

The /tmp directory is emptied every time the server reboots. So the simplest workaround is to reboot your management server after you upgrade VoltDB. Alternately, you can delete these temporary files manually by deleting the winstone subfolders in the /tmp directory:

$ rm -vr /tmp/winstone*

When upgrading VoltDB Enterprise Edition, please note that the configuration files for the Enterprise Manager are not upwardly compatible. New product features may make existing database and/or deployment definitions unusable. It is always a good idea to delete existing configuration information before upgrading. You can delete the configuration files by deleting the ~/.voltdb directory. For example:

$ rm -vr ~/.voltdb

In the past, it was possible to run two (or more) databases on a single physical server by defining two logical servers with the same IP address and making the ports for each database unique. However, as a result of internal optimizations introduced in VoltDB 2.7, this technique no longer works when using the Enterprise Manager.

We expect to correct this limitation in a future release. Note that it is still possible to start multiple databases on a single server manually using the VoltDB shell commands.

Starting with VoltDB 5.1, database replication (DR) has changed and the VoltDB Enterprise Manager can no longer correctly configure, start or manage a replica database. The recommended method is to start the database manually and use the builtin VoltDB Management Center to manage the database by connecting to the cluster nodes directly on the HTTP port (8080 by default).

Any time the database schema or stored procedures are changed, the data table showing stored procedure statistics at the bottom of the Monitor section of the VOltDB Management Center get reset. As soon as new invocations of the stored procedures occur, the statistics table will show new values based on performance after the schema update. Until invocations occur, the procedure table is blank.

The ASSUMEUNIQUE attribute is designed for identifying columns in partitioned tables where the column values are known to be unique but the table is not partitioned on that column, so VoltDB cannot verify complete uniqueness across the database. Using interactive DDL, you can create a table with a column marked as ASSUMEUNIQUE, but if you try to partition the table on the ASSUMEUNIQUE column, you receive an error. The solution is to drop and add the column using the UNIQUE attribute instead of ASSUMEUNIQUE.

You cannot add or remove a column constraint such as UNIQUE or ASSUMEUNIQUE using the ALTER TABLE ALTER COLUMN statement. Instead to add or remove such constraints, you must first drop then add the modified column. For example:

ALTER TABLE employee DROP COLUMN empID;
ALTER TABLE employee ADD COLUMN empID INTEGER UNIQUE;

For partitioned tables, the value of the column used to partition the table determines what partition the row belongs to. If you use UPDATE to change this value and the new value belongs in a different partition, the UPDATE request will fail and the stored procedure will be rolled back.

Updating the partition column value may or may not cause the record to be repartitioned (depending on the old and new values). However, since you cannot determine if the update will succeed or fail, you should not use UPDATE to change the value of partitioning columns.

The workaround, if you must change the value of the partitioning column, is to use both a DELETE and an INSERT statement to explicitly remove and then re-insert the desired rows.

If you refer to a table or column name that does not exist, the VoltDB compiler issues the error message "user lacks privilege or object not found". This can happen, for example, if you misspell a table or column name.

Another situation where this occurs is if you mistakenly use double quotation marks to enclose a string literal (such as WHERE ColumnA="True"). ANSI SQL requires single quotes for string literals and reserves double quotes for object names. In the preceding example, VoltDB interprets "True" as an object name, cannot resolve it, and issues the "user lacks privilege" error.

The workaround is, if you receive this error, to look for misspelled table or columns names or string literals delimited by double quotes in the offending SQL statement.

VoltDB opens a file descriptor for every client connection to the database. In normal operation, this use of file descriptors is transparent to the user. However, if there are an inordinate number of concurrent client connections, or clients open and close many connections in rapid succession, it is possible for VoltDB to exceed the process limit on file descriptors. When this happens, new connections may be rejected or other disk-based activities (such as snapshotting) may be disrupted.

In environments where there are likely to be an extremely large number of connections, you should consider increasing the operating system's per-process limit on file descriptors.

VoltDB uses a number of different ports for interprocess communication as well as features such as HTTP access, DR, and so on. Port scanning software often interferes with normal operation of such ports by sending bogus data to them in an attempt to identify open ports.

VoltDB has hardened its port usage to ignore unexpected or irrelevant data from port scanners. However, the ports used for Database Replication (DR) cannot be protected in this way. So, in V4.6, a Java property was introduced to allow you to disable the DR ports, for situations where port scanning cannot be avoided. To disable the DR ports, set the Java property VOLTDB_DISABLE_DR to true before starting the database process. For example:

$ export VOLTDB_OPTS="-DVOLTDB_DISABLE_DR=true"
$ voltdb create myapplication.jar \
                --deployment=deployment.xml \
                --host=voltsvr1

Note that, if you disable the DR ports, you cannot use the database as a master for database replication.