<?xml version=”1.0″ encoding=”UTF-8″?>
<AnyConnectProfile xmlns=”http://schemas.xmlsoap.org/encoding/” xmlns:xsi=”http://www.w3.org/2001/XMLSchema-instance” xsi:schemaLocation=”http://schemas.xmlsoap.org/encoding/ AnyConnectProfile.xsd”>
<ClientInitialization>
<UseStartBeforeLogon UserControllable=”true”>true</UseStartBeforeLogon>
<AutomaticCertSelection UserControllable=”false”>true</AutomaticCertSelection>
<ShowPreConnectMessage>false</ShowPreConnectMessage>
<CertificateStore>All</CertificateStore>
<CertificateStoreMac>All</CertificateStoreMac>
<CertificateStoreLinux>All</CertificateStoreLinux>
<CertificateStoreOverride>true</CertificateStoreOverride>
<ProxySettings>Native</ProxySettings>
<AllowLocalProxyConnections>true</AllowLocalProxyConnections>
<AuthenticationTimeout>30</AuthenticationTimeout>
<AutoConnectOnStart UserControllable=”true”>false</AutoConnectOnStart>
<MinimizeOnConnect UserControllable=”true”>true</MinimizeOnConnect>
<LocalLanAccess UserControllable=”true”>false</LocalLanAccess>
<DisableCaptivePortalDetection UserControllable=”true”>false</DisableCaptivePortalDetection>
<ClearSmartcardPin UserControllable=”false”>true</ClearSmartcardPin>
<IPProtocolSupport>IPv4,IPv6</IPProtocolSupport>
<AutoReconnect UserControllable=”false”>true
<AutoReconnectBehavior UserControllable=”false”>ReconnectAfterResume</AutoReconnectBehavior>
</AutoReconnect>
<SuspendOnConnectedStandby>false</SuspendOnConnectedStandby>
<AutoUpdate UserControllable=”false”>true</AutoUpdate>
<RSASecurIDIntegration UserControllable=”false”>Automatic</RSASecurIDIntegration>
<WindowsLogonEnforcement>SingleLocalLogon</WindowsLogonEnforcement>
<LinuxLogonEnforcement>SingleLocalLogon</LinuxLogonEnforcement>
<WindowsVPNEstablishment>LocalUsersOnly</WindowsVPNEstablishment>
<LinuxVPNEstablishment>LocalUsersOnly</LinuxVPNEstablishment>
<AutomaticVPNPolicy>false</AutomaticVPNPolicy>
<PPPExclusion UserControllable=”false”>Disable
<PPPExclusionServerIP UserControllable=”false”></PPPExclusionServerIP>
</PPPExclusion>
<EnableScripting UserControllable=”false”>false</EnableScripting>
<EnableAutomaticServerSelection UserControllable=”false”>false
<AutoServerSelectionImprovement>20</AutoServerSelectionImprovement>
<AutoServerSelectionSuspendTime>4</AutoServerSelectionSuspendTime>
</EnableAutomaticServerSelection>
<RetainVpnOnLogoff>false
</RetainVpnOnLogoff>
<CaptivePortalRemediationBrowserFailover>false</CaptivePortalRemediationBrowserFailover>
<AllowManualHostInput>true</AllowManualHostInput>
</ClientInitialization>
</AnyConnectProfile>
Generating a billion records in Cassandra
Generating a billion records in Cassandra can be accomplished using various methods, including using scripts, data generation tools, or custom applications. Below are some approaches you can take to generate a large dataset for testing or benchmarking purposes.
Method 1: Using CQLSH with a Python Script
You can use a Python script to generate and insert a billion records into Cassandra. This method uses the cassandra-driver library to connect to your Cassandra cluster.
Prerequisites
Install Cassandra Driver for Python:
Make sure you have the Cassandra driver installed. You can install it using pip:
pip install cassandra-driver
2. Set Up Your Cassandra Keyspace and Table:
Create a keyspace and a table in Cassandra where you will insert the records.
CREATE KEYSPACE test_keyspace WITH REPLICATION = { 'class': 'SimpleStrategy', 'replication_factor': 1 };
CREATE TABLE test_keyspace.test_table (
id UUID PRIMARY KEY,
name TEXT,
age INT
);
Python Script to Generate Records
Here’s a sample Python script that generates and inserts a billion records:
from cassandra.cluster import Cluster
import uuid
import random
# Connect to Cassandra
cluster = Cluster(['127.0.0.1']) # Replace with your Cassandra node IP
session = cluster.connect('test_keyspace')
# Prepare the insert statement
insert_stmt = session.prepare("INSERT INTO test_table (id, name, age) VALUES (?, ?, ?)")
# Generate and insert records
for i in range(1, 1000000001): # 1 billion records
record_id = uuid.uuid4()
name = f"Name_{i}"
age = random.randint(18, 99)
session.execute(insert_stmt, (record_id, name, age))
if i % 100000 == 0: # Print progress every 100,000 records
print(f"Inserted {i} records")
# Close the session and cluster connection
session.shutdown()
cluster.shutdown()
Method 2: Using Apache Spark
If you have Apache Spark set up, you can use it to generate and insert a large number of records into Cassandra efficiently.
Prerequisites
1. Set Up Spark with Cassandra Connector:
Make sure you have the Spark Cassandra Connector. You can include it in your Spark job using the following Maven dependency:
Spark Job to Generate Records
Here’s a sample Spark job in Scala to generate and insert records:
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.cassandra._
object GenerateRecords {
def main(args: Array[String]): Unit = {
val spark = SparkSession.builder()
.appName("Generate Records")
.config("spark.cassandra.connection.host", "127.0.0.1") // Replace with your Cassandra node IP
.getOrCreate()
import spark.implicits._
// Generate a DataFrame with 1 billion records
val records = (1 to 1000000000).map(i => (java.util.UUID.randomUUID(), s"Name_$i", scala.util.Random.nextInt(82) + 18))
val df = records.toDF("id", "name", "age")
// Write to Cassandra
df.write
.format("org.apache.spark.sql.cassandra")
.options(Map("keyspace" -> "test_keyspace", "table" -> "test_table"))
.mode("append")
.save()
spark.stop()
}
}
Method 3: Using Data Generation Tools
You can also use data generation tools like:
Apache JMeter: You can create a test plan to generate data and insert it into Cassandra.
Mockaroo: A web-based tool that allows you to generate large datasets in various formats, including CSV, which you can then import into Cassandra.
Conclusion
Generating a billion records in Cassandra can be done using various methods, including Python scripts, Apache Spark, or data generation tools. Choose the method that best fits your environment and requirements. Always ensure that your Cassandra cluster is properly configured to handle the load, and monitor performance during the data generation process.
cisco fpr1140 ftd smart license issue
If you got one notification as follow:
Product Instance Failed to Connect – The device “UDI_PID:FPR-1140; UDI_SN:xxxxxxxxxxxx; ” in the virtual account “DEFAULT” has not connected within its renewal period, and may run in a degraded state if it does not connect within the next 1 day. If the device is not going to connect, you can remove it to immediately release the licenses it is consuming.
try login system run command:
root@fw:/home/admin# pmtool restartbyid tomcat
root@fw:/home/admin# pmtool status | grep "tomcat"
then wait a quite long time to the http portal recover to access
squid
acl localnet src 192.168.0.0/16 # RFC 1918 local private network (LAN)
acl localnet src fc00::/7 # RFC 4193 local private network range
acl localnet src fe80::/10 # RFC 4291 link-local (directly plugged) machines
acl SSL_ports port 443
acl Safe_ports port 80 # http
acl Safe_ports port 21 # ftp
acl Safe_ports port 443 # https
acl Safe_ports port 70 # gopher
acl Safe_ports port 210 # wais
acl Safe_ports port 1025-65535 # unregistered ports
acl Safe_ports port 280 # http-mgmt
acl Safe_ports port 488 # gss-http
acl Safe_ports port 591 # filemaker
acl Safe_ports port 777 # multiling http
http_access deny !Safe_ports
http_access deny CONNECT !SSL_ports
http_access allow localhost manager
http_access deny manager
http_access allow localhost
acl hasRequest has request
logformat custom_log %{%Y-%m-%d %H:%M:%S}tl %>a:%>p %Ss/%03>Hs:%Sh “%rm %ru HTTP/%rv” %mt %>Hs %<st %tr “%{User-Agent}>h” “%{Referer}>h”
access_log /var/log/squid/access.log custom_log hasRequest
http_access deny to_localhost
http_access deny to_linklocal
http_access allow localnet
http_access deny all
http_port 3128
maximum_object_size 1 GB
cache_dir ufs /var/spool/squid 10240 16 256
cache_mem 256 MB
maximum_object_size_in_memory 4 MB
cache_replacement_policy heap LFUDA
range_offset_limit -1
quick_abort_min -1 KB
coredump_dir /var/spool/squid
refresh_pattern -i \.7z$ 300 90% 14320 reload-into-ims
refresh_pattern -i \.x03$ 300 90% 14320 reload-into-ims
refresh_pattern -i \.m30$ 300 90% 14320 reload-into-ims
refresh_pattern -i \.m35$ 300 90% 14320 reload-into-ims
refresh_pattern -i \.zip$ 300 90% 14320 reload-into-ims
refresh_pattern -i \.irn$ 300 90% 14320 reload-into-ims
refresh_pattern ^ftp: 1440 20% 10080
refresh_pattern ^gopher: 1440 0% 1440
refresh_pattern -i symantecliveupdate.com/.* 1440 90% 43200
refresh_pattern -i symantec.com/.* 1440 90% 43200
refresh_pattern -i (/cgi-bin/|\?) 0 0% 0
refresh_pattern . 0 20% 4320
httpd_suppress_version_string on
via off
powershell apache log filter
Select-String “404” .\localhost_access_log.2024-08-07.txt | % {($_.line.split(‘HTTP’))[1]} | Sort-Object | Get-Unique
gc ‘.\localhost_access_log.2024-08-07.txt’ -Wait
Get-Process | sort {[string]$_.ID}
MFA solution
To setup a multiple factor authentication server, this freeipa is open source solution. And with FreeOTP+ app to second factor:
ipa-server-install
ipa-server-install --setup-dns
You must make sure these network ports are open:
TCP Ports:
* 80, 443: HTTP/HTTPS
* 389, 636: LDAP/LDAPS
* 88, 464: kerberos
UDP Ports:
* 88, 464: kerberos
* 123: ntp
client side, first you should set up the dns or hosts file, and then execute the command as below:
yum install freeipa-client
ipa-client-install --mkhomedir