PythonDBAGraphs

This is a Python program that displays graphs that are helpful for Oracle database performance tuning.

PythonDBAGraphs includes these graphs:

ashcpu.py - Shows cpu usage within an Oracle database by various parts of the application.
onewait.py - Shows the average time for an Oracle wait event and the number of events per period.
simplesqlstat.py - Show average elapsed versus executions for one SQL statement.
allsql.py - Show average elapsed versus executions for all SQL statements.
groupsigs.py - Show average elapsed versus executions for SQL statements whose force matching signature is in a specified group of signatures.
sigscpuio.py - Show total elapsed, CPU, and IO time for SQL statements whose force matching signature is in a specified group of signatures.
sigselapctcpu.py - Show total elapsed for SQL statements whose force matching signature is in a specified group of signatures. Show percent CPU used on same graph.
sigfour.py - Four metrics for SQL statements whose force matching signature is in a specified group of signatures. These are number of executions, average elapsed time, CPU percent used, and average single block read time.
ashcount.py - For a time range show the number of active sessions on CPU and total number active.
sqlstatwithplans.py - Show execution time of a single SQL statement by plan.
sessioncounts.py - Plot the number of connected sessions.
segstat.py - Segment usage statistics for one segment
ashonewait.py - Show the number of sessions active on one particular wait.
sqlstatcpuio.py - Plots total elapsed, cpu, and io seconds for a single sql_id.
iosummary.py - Shows overall I/O information for one database.
hostcpu.py - Shows host level CPU information for one instance
onesysstat.py - Shows a single system statistic for one instance
space.py - Shows overall tablespace usage over time
nologging.py - Write I/O statistics that may relate to nologging write I/O
ashcpuprog.py - Similar to ashcpu.py but using PROGRAM instead of MACHINE. Works with 10.2.

Command line help:

usage: ashcpu.py [-h] {file,screen} [database] {Y,N} {Y,N}

Database CPU by Application Area

positional arguments:
  {file,screen}  Where to send the graph
  database       Name of the database
  {Y,N}          Show SQL that was executed (Y or N)
  {Y,N}          Show data returned by query (Y or N)

optional arguments:
  -h, --help     show this help message and exit

See file README.md for more detailed help.

Example:

python onewait.py screen ORCL N N

This creates the onewait.py graph on the ORCL database and sends the output to the screen. It does not display the SQL used and it does not output the data returned by the query.

Three other included scripts:

colorsquares.py - shows a range of colors. I used this to pick the colors for the graphs.

Example:

python colorsquares.py r .5

Sets red at 0.5 and shows range of colors varying blue and green between 0.0 and 1.0.

show_saved.py - Displays a graph based on data saved from an earlier run. Prompts for the name of the file that was previously saved.

Example:

python show_saved.py

Enter name of data file to be restored: D:\temp\All SQL statements on DBATEST2 database.txt

setpassword.py - Saves an encrypted version of your Oracle password.

Example:

python setpassword.py
Enter password for MYUSER: MYPASSWORD

Requirements:

The author primarily uses this application in the following environment:

Windows 10
32 bit Python 3.7.2

These packages:

cryptography (2.3.1)
cx-Oracle (7.0.0)
cycler (0.10.0)
matplotlib (3.0.0)
numpy (1.15.2)
pip (18.1)
pyparsing (2.2.2)
python-dateutil (2.7.3)
pytz (2018.5)
setuptools (40.6.2)
six (1.11.0)
wxPython (4.0.3)

I had to do the following steps to configure Matplotlib to use wxPython:

Download s.py from this URL:

https://gist.github.com/bobbydurrett/a65c9c457f155a0ed38a9643b05ce8f5#file-s-py

Run this command:

python s.py --verbose-helpful

Output includes a line like this:

loaded rc file C:\Users\myuser\AppData\Local\Programs\Python\Python36-32\lib\site-packages\matplotlib\mpl-data\matplotlibrc

I edited the matplotlibrc to use wx by setting backend to WXAgg. Here is the diff from the original matplotlibrc:

diff matplotlibrc.original matplotlibrc
38c38
< backend      : TkAgg
---
> backend      : WXAgg

Configuration:

The program uses certain directories. The paths to these directories are stored in the file directories.txt which is kept in the same location as the util.py script. The directories are the configuration, password, and output directories.

The configuration directory contains the file username.txt which has the Oracle user name.

It also contains database and graph specific configuration files:

DBNAMEashcpufile.txt - ashcpu.py configuration for database DBNAME
DBNAMEgroupofsignatures.txt - SQL signatures for database DBNAME for graphs with "sig" in their name such as sigscpuio.py.

The configuration directory also contains a file with the password encryption key.

The password directory contains the password file which stores the encrypted password.

The output directory is where image files are written if you choose "file" as the destination for the graph.

You can test these scripts interactively through IDLE by setting the arguments at the top of the script. So, if you want to test ashonewait.py put these lines at the top of the file:

import sys
sys.argv = ['x','screen','YOURDB','N','N']

Once you are done testing remove these lines and run the script from the command line.

vdeshpan-ai / pythondbagraphs Goto Github PK