ndbd is the process that is used to handle all the data in tables using the NDB Cluster storage engine. This is the process that empowers a data node to accomplish distributed transaction handling, node recovery, checkpointing to disk, online backup, and related tasks.
In a MySQL Cluster, a set of ndbd processes cooperate in handling data. These processes can execute on the same computer (host) or on different computers. The correspondences between data nodes and Cluster hosts is completely configurable.
ndbd generates a set of log files which are
placed in the directory specified by
DataDir in the
config.ini configuration file.
These log files are listed below.
node_id is the node's unique
identifier. Note that node_id
represents the node's unique identifier. For example,
ndb_2_error.log is the error log
generated by the data node whose node ID is
2.
ndb_
is a file containing records of all crashes which the
referenced ndbd process has
encountered. Each record in this file contains a brief
error string and a reference to a trace file for this
crash. A typical entry in this file might appear as shown
here:
node_id_error.log
Date/Time: Saturday 30 July 2004 - 00:20:01 Type of error: error Message: Internal program error (failed ndbrequire) Fault ID: 2341 Problem data: DbtupFixAlloc.cpp Object of reference: DBTUP (Line: 173) ProgramName: NDB Kernel ProcessID: 14909 TraceFile: ndb_2_trace.log.2 ***EOM***
Listings of possible ndbd exit codes
and messages generated when a data node process shuts down
prematurely can be found in
ndbd Error Messages.
The last entry in the error log file is not
necessarily the newest one (nor is it likely
to be). Entries in the error log are
not listed in chronological order;
rather, they correspond to the order of the trace files
as determined in the
ndb_
file (see below). Error log entries are thus overwritten
in a cyclical and not sequential fashion.
node_id_trace.log.next
ndb_
is a trace file describing exactly what happened just
before the error occurred. This information is useful for
analysis by the MySQL Cluster development team.
node_id_trace.log.trace_id
It is possible to configure the number of these trace
files that will be created before old files are
overwritten. trace_id is a
number which is incremented for each successive trace
file.
ndb_
is the file that keeps track of the next trace file number
to be assigned.
node_id_trace.log.next
ndb_
is a file containing any data output by the
ndbd process. This file is created only
if ndbd is started as a daemon, which
is the default behavior.
node_id_out.log
ndb_
is a file containing the process ID of the
ndbd process when started as a daemon.
It also functions as a lock file to avoid the starting of
nodes with the same identifier.
node_id.pid
ndb_
is a file used only in debug versions of
ndbd, where it is possible to trace all
incoming, outgoing, and internal messages with their data
in the ndbd process.
node_id_signal.log
It is recommended not to use a directory mounted through NFS
because in some environments this can cause problems whereby
the lock on the .pid file remains in
effect even after the process has terminated.
To start ndbd, it may also be necessary to specify the hostname of the management server and the port on which it is listening. Optionally, one may also specify the node ID that the process is to use.
shell> ndbd --connect-string="nodeid=2;host=ndb_mgmd.mysql.com:1186"
See Section 19.3.4.2, “The Cluster Connectstring”, for additional information about this issue. Section 19.6.5, “Command Options for MySQL Cluster Processes”, describes other options for ndbd.
When ndbd starts, it actually initiates two processes. The first of these is called the “angel process”; its only job is to discover when the execution process has been completed, and then to restart the ndbd process if it is configured to do so. Thus, if you attempt to kill ndbd via the Unix kill command, it is necessary to kill both processes, beginning with the angel process. The preferred method of terminating an ndbd process is to use the management client and stop the process from there.
The execution process uses one thread for reading, writing, and scanning data, as well as all other activities. This thread is implemented asynchronously so that it can easily handle thousands of concurrent activites. In addition, a watch-dog thread supervises the execution thread to make sure that it does not hang in an endless loop. A pool of threads handles file I/O, with each thread able to handle one open file. Threads can also be used for transporter connections by the transporters in the ndbd process. In a multi-processor system performing a large number of operations (including updates), the ndbd process can consume up to 2 CPUs if permitted to do so.
For a machine with many CPUs it is possible to use several ndbd processes which belong to different node groups; however, such a configuration is still considered experimental and is not supported for MySQL 5.0 in a production setting. See Section 19.12, “Known Limitations of MySQL Cluster”.

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