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Checkpoint Tuning and Troubleshooting Guide

原创 Linux操作系统 作者:tolywang 时间:2007-07-27 00:00:00 0 删除 编辑

This bulletin provides the Database Administrator a better understanding of
incremental checkpoint and a description of four initialization parameters used for checkpoint tuning:


It also explains how to interpret and handle checkpoint errors: 'Checkpoint not Complete' and 'Cannot Allocate New Log' reported in the ALERT.LOG file.


1. What is a Checkpoint? 2. Checkpoints and Performance 3. Parameters related to incremental checkpointing 4. Redo logs and Checkpoint 5. Understanding Checkpoint Error messages ("Cannot allocate new log" and "Checkpoint not complete") 6. Oracle Release Information 7. Using Statspack to determine Checkpointing Problems


1. What is a Checkpoint?

A Checkpoint is a database event which synchronizes the modified data blocks in memory with the datafiles on disk. It offers Oracle the means for ensuring the consistency of data modified by transactions. The mechanism of writing modified blocks on disk in Oracle is not synchronized with the commit of the corresponding transactions.

A checkpoint has two purposes: (1) to establish data consistency, and (2) enable faster database recovery. How is recovery faster? Because all database changes up to the checkpoint have been recorded in the datafiles, making it unnecessary to apply redo log entries prior to the checkpoint. The checkpoint must ensure that all the modified buffers in the cache are really written to the corresponding datafiles to avoid the loss of data
which may occur with a crash (instance or disk failure).

Oracle writes the dirty buffers to disk only on certain conditions:

- A shadow process must scan more than one-quarter of the db_block_buffer
- Every three seconds.
- When a checkpoint is produced.

A checkpoint is realized on five types of events:

- At each switch of the redo log files.
- When the delay for LOG_CHECKPOINT_TIMEOUT is reached.
- When the size in bytes corresponding to :
is written on the current redo log file.
- Directly by the ALTER SYSTEM SWITCH LOGFILE command.
- Directly with the ALTER SYSTEM CHECKPOINT command.

During a checkpoint the following occurs:
- The database writer (DBWR) writes all modified database
blocks in the buffer cache back to datafiles,
- Log writer (LGWR) updates both the controlfile and
the datafiles to indicate when the last checkpoint
occurred (SCN)

2. Checkpoints and Performance

Checkpoints present a tuning dilemma for the Database Administrator. Frequent
checkpoints will enable faster recovery, but can cause performance
degradation. How then should the DBA address this?

Depending on the number of datafiles in a database, a checkpoint can be a
highly resource intensive operation, since all datafile headers are frozen
during the checkpoint. There is a performance trade-off regarding frequency
of checkpoints. More frequent checkpoints enable faster database recovery
after a crash. This is why some customer sites which have a very low
tolerance for unscheduled system downtime will often choose this option.
However, the performance degradation of frequent checkpoints may not justify
this philosophy in many cases. Let's assume the database is up and running 95%
of the time, and unavailable 5% of the time from infrequent instance crashes
or hardware failures requiring database recovery. For most customer sites, it
makes more sense to tune for the 95% case rather than the rare 5% downtime.

This bulletin assumes that performance is your number one priority and so
recommendations are made accordingly. Therefore, your goal is to minimize the frequency
of checkpoints through tuning.

Tuning checkpoints involves four key initialization parameters


These parameters are discussed in detail below.

Recommendations are also given for handling "checkpoint not complete" messages
found in the alert log, which indicate a need to tune redo logs and

3. Parameters related to incremental checkpointing
Note: Log file switches will always override checkpoints caused by following paarameters.

    Since Oracle 9i FAST_START_MTTR_TARGET parameter is the preferred method
    of tuning incremental checkpoint target. FAST_START_MTTR_TARGET enables you
    to specify the number of seconds the database takes to perform crash recovery
    of a single instance. Based on internal statistics, incremental checkpoint
    automatically adjusts the checkpoint target to meet the requirement of
    V$INSTANCE_RECOVERY.ESTIMATED_MTTR shows the current estimated mean time to
    recover (MTTR) in seconds. This value is shown even if FAST_START_MTTR_TARGET
    is not specified.
    V$INSTANCE_RECOVERY.TARGET_MTTR shows the effective MTTR target in seconds
    enforced by the system.
    V$MTTR_TARGET_ADVICE shows the number of I/Os resulted by the current workload
    under the current MTTR setting and the estimated number of I/Os that would be
    resulted by the current workload under other MTTR settings. This view helps
    the user to assess the trade-off between runtime performance and setting
    FAST_START_MTTR_TARGET to achieve better recovery time.

    LOG_CHECKPOINT_INTERVAL parameter specifies the maximum number of redo blocks
    the incremental checkpoint target should lag the current log tail.
    be set or set to 0.
    On most Unix systems the operating system block size is 512 bytes.
    This means that setting LOG_CHECKPOINT_INTERVAL to a value of 10,000 would
    mean the incremental checkpoint target should not lag the current log tail
    by more than 5,120,000 (5M) bytes. . If the size of your redo log is 20M, you are taking 4
    checkpoints for each log.

    LOG_CHECKPOINT_INTERVAL influences when a checkpoint occurs, which means
    careful attention should be given to the setting of this parameter, keeping it
    updated as the size of the redo log files is changed. The checkpoint
    frequency is one of the factors which impacts the time required for the
    database to recover from an unexpected failure. Longer intervals between
    checkpoints mean that if the system crashes, more time will be needed for the
    database to recover. Shorter checkpoint intervals mean that the database will
    recover more quickly, at the expense of increased resource utilization during
    the checkpoint operation.

    This parameter also impacts the time required to complete a database recovery
    operation during the roll forward phase of recovery. The actual recovery time
    is dependent upon this time, and other factors, such as the type of failure
    (instance or system crash, media failure, etc.), and the number of archived
    redo logs which need to be applied.

    The LOG_CHECKPOINT_TIMEOUT parameter specifies the maximum number of seconds
    the incremental checkpoint target should lag the current log tail.
    In another word, it specifies how long a dirty buffer in buffer cache can
    remain dirty.

    Checkpoint frequency impacts the time required for the
    database to recover from an unexpected failure. Longer intervals between
    checkpoints mean that more time will be required during database recovery.

    Oracle recommends using LOG_CHECKPOINT_INTERVAL to control the checkpoint
    interval rather than LOG_CHECKPOINT_TIMEOUT, which will initiate a checkpoint
    every "n" seconds, regardless of the transaction frequency. This can cause
    unnecessary checkpoints in cases where transaction volumes vary. Unnecessary
    checkpoints must be avoided whenever possible for optimal performance.

    It is a misconception that setting LOG_CHECKPOINT_TIMEOUT to a given
    value will initiate a log switch at that interval, enabling a recovery
    window used for a stand-by database configuration. Log switches cause a checkpoint,but a checkpoint does not cause a log switch. The only way to cause a log switch is manually with
    ALTER SYSTEM SWITCH LOGFILE or resizing the redo logs to cause
    more frequent switches. This is controlled by operating system
    blocks, not a timed interval.
    Sizing of the online redo logs is critical for performance and recovery.
    See additional sections below on redo logs and checkpoints.

    LOG_CHECKPOINTS_TO_ALERT lets you log your checkpoints to the alert file.
    Doing so is useful for determining whether checkpoints are occurring at
    the desired frequency.
    Prior to Oracle9i this parameter was STATIC.
    Oracle generally advises this be set to TRUE as the overhead is
    negligible but the information in the alert log may be useful.

    See Note 76713.1 to have more detail on How those instance parameters can influence the checkpoint.

4. Redo logs and Checkpoint

A checkpoint occurs at every log switch. If a previous checkpoint is already
in progress, the checkpoint forced by the log switch will override the current

This necessitates well-sized redo logs to avoid unnecessary checkpoints as a
result of frequent log switches.
The lag between the incremental checkpoint target and the log tail is
also limited by 90% of the smallest online log file size. This makes sure
that in most cases log switch would not need to wait for checkpoint.
Because of this, log file sizes should be configured large enough.
A good rule of thumb is to switch logs at most every twenty minutes.
Having your log files too small can increase checkpoint activity and reduce performance.
Oracle recommends the user to set all online log files to be the same size,
and have at least two log groups per thread. The alert log is a valuabletool for
monitoring the rate that log switches occur, and subsequently, checkpoints

The following is an example of quick log switches
from the alert log:

Fri May 16 17:15:43 1997
Thread 1 advanced to log sequence 1272
Current log# 3 seq# 1272 mem# 0: /prod1/oradata/logs/redologs03.log
Thread 1 advanced to log sequence 1273
Current log# 1 seq# 1273 mem# 0: /prod1/oradata/logs/redologs01.log
Fri May 16 17:17:25 1997
Thread 1 advanced to log sequence 1274
Current log# 2 seq# 1274 mem# 0: /prod1/oradata/logs/redologs02.log
Thread 1 advanced to log sequence 1275
Current log# 3 seq# 1275 mem# 0: /prod1/oradata/logs/redologs03.log
Fri May 16 17:20:51 1997
Thread 1 advanced to log sequence 1276
Current log# 1 seq# 1276 mem# 0: /prod1/oradata/logs/redologs01.log

If redo logs switch every 3 minutes, you will see performance degradation.
This indicates the redo logs are not sized large enough to efficiently handle
the transaction load.

size of the redolog files.

5. Understanding Checkpoint Error messages (“Cannot allocate new log” and “Checkpoint not complete”)

Sometimes, you can see in your alert.log file, the following corresponding

Thread 1 advanced to log sequence 248
Current log# 2 seq# 248 mem# 0: /prod1/oradata/logs/redologs02.log
Thread 1 cannot allocate new log, sequence 249
Checkpoint not complete

This message indicates that Oracle wants to reuse a redo log file, but
the current checkpoint position is still in that log. In this case, Oracle must
wait until the checkpoint position passes that log. Because the
incremental checkpoint target never lags the current log tail by more than 90%
of the smallest log file size, this situation may be encountered if DBWR writes
too slowly, or if a log switch happens before the log is completely full,
or if log file sizes are too small.
When the database waits on checkpoints,redo generation is stopped until the
log switch is done.

6. Oracle Release Information

In Oracle8i initialization parameter FAST_START_IO_TARGET causes incremental
checkpoint to automatically adjusting its target so that the number of data
blocks needed by recovery would be no more than FAST_START_IO_TARGET.
This parameter has been deprecated since Oracle 9i in favor of parameter FAST_START_MTTR_TARGET.

7. Using Statspack to determine Checkpointing problems

Statspack snapshots can be taken every 15 minutes or so, these reports gather useful
information about number of checkpoints started and checkpoints completed and number
of database buffers written during checkpointing for that window of time . It also contains
statistics about redo activity. Gathering and comparing these snapshot reports gives you
a complete idea about checkpointing performance at different periods of time.

Another important thing to watch in statspack report is the following wait events,
they could be a good indication about problems with the redo log throughput and checkpointing:

log file switch (checkpoint incomplete)
log file switch (archiving needed)
log file switch/archive
log file switch (clearing log file)
log file switch completion
log switch/archive
log file sync

In the case when one or more of the above wait events is repeated frequently
with considerable values then you need to take an action like adding More
online redo log files or increasing their sizes and/or modifying checkpointing parameters.

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