Spec-Zone .ru
спецификации, руководства, описания, API
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The diskpagebuffer
table provides statistics about disk page buffer usage by MySQL
Cluster Disk Data tables.
The following table provides information about the columns in the diskpagebuffer
table. For each column, the table shows the name, data type, and a brief description. Additional information can
be found in the notes following the table.
Column Name | Type | Remarks |
---|---|---|
node_id |
integer | The data node ID |
block_instance |
integer | Block instance |
pages_written |
integer | Number of pages written to disk. |
pages_written_lcp |
integer | Number of pages written by local checkpoints. |
pages_read |
integer | Number of pages read from disk |
log_waits |
integer | Number of page writes waiting for log to be written to disk |
page_requests_direct_return |
integer | Number of requests for pages that were available in buffer |
page_requests_wait_queue |
integer | Number of requests that had to wait for pages to become available in buffer |
page_requests_wait_io |
integer | Number of requests that had to be read from pages on disk (pages wereunavailable in buffer) |
You can use this table with MySQL Cluster Disk Data tables to determine whether DiskPageBufferMemory
is sufficiently large to allow data to be read from the
buffer rather from disk; minimizing disk seeks can help improve performance of such tables.
You can determine the proportion of reads from DiskPageBufferMemory
to the total number of reads using a query such as this one,
which obtains this ratio as a percentage:
SELECT node_id, 100 * page_requests_direct_return / (page_requests_direct_return + page_requests_wait_io) AS hit_ratio FROM ndbinfo.diskpagebuffer;
The result from this query should be similar to what is shown here, with one row for each data node in the cluster (in this example, the cluster has 4 data nodes):
+---------+-----------+| node_id | hit_ratio |+---------+-----------+| 5 | 97.6744 || 6 | 97.6879 || 7 | 98.1776 || 8 | 98.1343 |+---------+-----------+4 rows in set (0.00 sec)
hit_ratio
values approaching 100% indicate that only a very small number of reads
are being made from disk rather than from the buffer, which means that Disk Data read performance is approaching
an optimum level. If any of these values are less than 95%, this is a strong indicator that the setting for DiskPageBufferMemory
needs to be increased in the config.ini
file.
A change in DiskPageBufferMemory
requires a rolling restart of all of the cluster's data
nodes before it takes effect.