Home Database Mysql Tutorial ORA-12519 错误 进程错误

ORA-12519 错误 进程错误

Jun 07, 2016 pm 04:44 PM
data

系统正常运行一个月后,上线第一天出现了下列错误,想了很久没有思路。后来排查出数据库监听异常,发现是ORA-12519拒绝错误。后来

系统正常运行一个月后,上线第一天出现了下列错误,想了很久没有思路。后来排查出数据库监听异常,发现是ORA-12519拒绝错误。后来发现是数据的连接池达到的极致。

具体解决方案如下:

 --首先检查process和session的使用情况,在sqlplus里面查看。

SQL> show parameter processes

NAME                        TYPE        VALUE
 ------------------------------------ ----------- ------------------------------
 aq_tm_processes                      integer    0
 db_writer_processes                  integer    6
 gcs_server_processes                integer    0
 job_queue_processes                  integer    0
 log_archive_max_processes            integer    2
 processes                    integer    150

 

SQL> select count(*) from v$process;

  COUNT(*)
 ----------
        147

--明显process已经几乎达到了顶峰。

SQL> show parameter session

NAME                        TYPE        VALUE
 ------------------------------------ ----------- ------------------------------
 java_max_sessionspace_size          integer    0
 java_soft_sessionspace_limit        integer    0
 license_max_sessions                integer    0
 license_sessions_warning            integer    0
 logmnr_max_persistent_sessions      integer    1
 session_cached_cursors              integer    20
 session_max_open_files              integer    10
 sessions                    integer    160

shared_server_sessions              integer
 SQL>

SQL> select count(*) from v$session;

  COUNT(*)
 ----------
        153

--同样几乎达到顶峰。

--修改Oracle的process和session值,加大他们最大连接数。

--Oracle文档要求,SESSIONS和TRANSACTIONS的初始化参数应该源于PROCESSES参数,,根据默认设置SESSIONS = PROCESSES * 1.1 + 5

SQL> alter system set processes=300 scope=spfile;

System altered.

SQL> alter system set sessions=335 scope=spfile;

System altered.

--重启数据库后参数修改完成

SQL> shutdown      --如果长时间没反应可能是连接请求没又关闭,也可以使用  abort参数直接关闭

SQL> startup        --可以用 force参数  关闭当前运行数据库后正常启动。

修改完毕之后,在进行压力测试的时候,问题解决。也可参考其他解决方法。

--------------------------------------分割线 --------------------------------------

在CentOS 6.4下安装Oracle 11gR2(x64)

Oracle 11gR2 在VMWare虚拟机中安装步骤

Debian 下 安装 Oracle 11g XE R2

--------------------------------------分割线 --------------------------------------

本文永久更新链接地址:

linux

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1662
14
PHP Tutorial
1262
29
C# Tutorial
1235
24
Open source! Beyond ZoeDepth! DepthFM: Fast and accurate monocular depth estimation! Open source! Beyond ZoeDepth! DepthFM: Fast and accurate monocular depth estimation! Apr 03, 2024 pm 12:04 PM

0.What does this article do? We propose DepthFM: a versatile and fast state-of-the-art generative monocular depth estimation model. In addition to traditional depth estimation tasks, DepthFM also demonstrates state-of-the-art capabilities in downstream tasks such as depth inpainting. DepthFM is efficient and can synthesize depth maps within a few inference steps. Let’s read about this work together ~ 1. Paper information title: DepthFM: FastMonocularDepthEstimationwithFlowMatching Author: MingGui, JohannesS.Fischer, UlrichPrestel, PingchuanMa, Dmytr

Use ddrescue to recover data on Linux Use ddrescue to recover data on Linux Mar 20, 2024 pm 01:37 PM

DDREASE is a tool for recovering data from file or block devices such as hard drives, SSDs, RAM disks, CDs, DVDs and USB storage devices. It copies data from one block device to another, leaving corrupted data blocks behind and moving only good data blocks. ddreasue is a powerful recovery tool that is fully automated as it does not require any interference during recovery operations. Additionally, thanks to the ddasue map file, it can be stopped and resumed at any time. Other key features of DDREASE are as follows: It does not overwrite recovered data but fills the gaps in case of iterative recovery. However, it can be truncated if the tool is instructed to do so explicitly. Recover data from multiple files or blocks to a single

How to use Excel filter function with multiple conditions How to use Excel filter function with multiple conditions Feb 26, 2024 am 10:19 AM

If you need to know how to use filtering with multiple criteria in Excel, the following tutorial will guide you through the steps to ensure you can filter and sort your data effectively. Excel's filtering function is very powerful and can help you extract the information you need from large amounts of data. This function can filter data according to the conditions you set and display only the parts that meet the conditions, making data management more efficient. By using the filter function, you can quickly find target data, saving time in finding and organizing data. This function can not only be applied to simple data lists, but can also be filtered based on multiple conditions to help you locate the information you need more accurately. Overall, Excel’s filtering function is a very practical

Google is ecstatic: JAX performance surpasses Pytorch and TensorFlow! It may become the fastest choice for GPU inference training Google is ecstatic: JAX performance surpasses Pytorch and TensorFlow! It may become the fastest choice for GPU inference training Apr 01, 2024 pm 07:46 PM

The performance of JAX, promoted by Google, has surpassed that of Pytorch and TensorFlow in recent benchmark tests, ranking first in 7 indicators. And the test was not done on the TPU with the best JAX performance. Although among developers, Pytorch is still more popular than Tensorflow. But in the future, perhaps more large models will be trained and run based on the JAX platform. Models Recently, the Keras team benchmarked three backends (TensorFlow, JAX, PyTorch) with the native PyTorch implementation and Keras2 with TensorFlow. First, they select a set of mainstream

Slow Cellular Data Internet Speeds on iPhone: Fixes Slow Cellular Data Internet Speeds on iPhone: Fixes May 03, 2024 pm 09:01 PM

Facing lag, slow mobile data connection on iPhone? Typically, the strength of cellular internet on your phone depends on several factors such as region, cellular network type, roaming type, etc. There are some things you can do to get a faster, more reliable cellular Internet connection. Fix 1 – Force Restart iPhone Sometimes, force restarting your device just resets a lot of things, including the cellular connection. Step 1 – Just press the volume up key once and release. Next, press the Volume Down key and release it again. Step 2 – The next part of the process is to hold the button on the right side. Let the iPhone finish restarting. Enable cellular data and check network speed. Check again Fix 2 – Change data mode While 5G offers better network speeds, it works better when the signal is weaker

Tesla robots work in factories, Musk: The degree of freedom of hands will reach 22 this year! Tesla robots work in factories, Musk: The degree of freedom of hands will reach 22 this year! May 06, 2024 pm 04:13 PM

The latest video of Tesla's robot Optimus is released, and it can already work in the factory. At normal speed, it sorts batteries (Tesla's 4680 batteries) like this: The official also released what it looks like at 20x speed - on a small "workstation", picking and picking and picking: This time it is released One of the highlights of the video is that Optimus completes this work in the factory, completely autonomously, without human intervention throughout the process. And from the perspective of Optimus, it can also pick up and place the crooked battery, focusing on automatic error correction: Regarding Optimus's hand, NVIDIA scientist Jim Fan gave a high evaluation: Optimus's hand is the world's five-fingered robot. One of the most dexterous. Its hands are not only tactile

Alibaba 7B multi-modal document understanding large model wins new SOTA Alibaba 7B multi-modal document understanding large model wins new SOTA Apr 02, 2024 am 11:31 AM

New SOTA for multimodal document understanding capabilities! Alibaba's mPLUG team released the latest open source work mPLUG-DocOwl1.5, which proposed a series of solutions to address the four major challenges of high-resolution image text recognition, general document structure understanding, instruction following, and introduction of external knowledge. Without further ado, let’s look at the effects first. One-click recognition and conversion of charts with complex structures into Markdown format: Charts of different styles are available: More detailed text recognition and positioning can also be easily handled: Detailed explanations of document understanding can also be given: You know, "Document Understanding" is currently An important scenario for the implementation of large language models. There are many products on the market to assist document reading. Some of them mainly use OCR systems for text recognition and cooperate with LLM for text processing.

The vitality of super intelligence awakens! But with the arrival of self-updating AI, mothers no longer have to worry about data bottlenecks The vitality of super intelligence awakens! But with the arrival of self-updating AI, mothers no longer have to worry about data bottlenecks Apr 29, 2024 pm 06:55 PM

I cry to death. The world is madly building big models. The data on the Internet is not enough. It is not enough at all. The training model looks like "The Hunger Games", and AI researchers around the world are worrying about how to feed these data voracious eaters. This problem is particularly prominent in multi-modal tasks. At a time when nothing could be done, a start-up team from the Department of Renmin University of China used its own new model to become the first in China to make "model-generated data feed itself" a reality. Moreover, it is a two-pronged approach on the understanding side and the generation side. Both sides can generate high-quality, multi-modal new data and provide data feedback to the model itself. What is a model? Awaker 1.0, a large multi-modal model that just appeared on the Zhongguancun Forum. Who is the team? Sophon engine. Founded by Gao Yizhao, a doctoral student at Renmin University’s Hillhouse School of Artificial Intelligence.

See all articles