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import redis | |
import time | |
import random | |
def load_file(fp, fpKey, r, expiry): | |
with open(fp, "rb") as f: | |
data = f.read() | |
p = r.pipeline() | |
p.set(fpKey, data) |
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// Lets keep only last 10 builds | |
MAX_BUILDS = 10 | |
def jobs = Jenkins.instance.items; | |
println "Total Jobs" + jobs.size() | |
for (job in jobs) { | |
println "Job: " + job.name | |
try { | |
if(job instanceof jenkins.branch.MultiBranchProject) { |
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import java.util.Arrays; | |
import java.util.HashMap; | |
import java.util.Map; | |
import java.util.Properties; | |
import org.apache.kafka.clients.consumer.KafkaConsumer; | |
import org.apache.kafka.clients.consumer.OffsetAndMetadata; | |
import org.apache.kafka.common.TopicPartition; | |
import org.apache.kafka.common.serialization.StringDeserializer; | |
import org.zeroturnaround.exec.ProcessExecutor; |
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Production is awesome place to learn and know about the system. Team should feel lucky to work on those systems. | |
Make sure to have these parameters defined | |
-XX:+HeapDumpOnOutOfMemoryError | |
-XX:HeapDumpPath=<path> | |
lets say that you are experiencing OOM, but you still don't determine the root cause of the issue, | |
You might probably need to restart as soon as you see performance issues or even better daily thats perfectly fine & taking heap | |
dump will not practical. try to take heap dumpl. |
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export JAVA_HOME=$(/usr/libexec/java_home) | |
export GRADLE_HOME=/opt/gradle | |
export M2_HOME=/opt/maven | |
export M2=$M2_HOME/bin | |
export PATH=$M2:$PATH:$GRADLE_HOME/bin | |
export MYSQL_HOME=/usr/local/bin/mysql | |
export PATH=$PATH:$MYSQL_HOME/bin | |
alias ll="ls -lptr" | |
alias cd..="cd .." |
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public static LocalDate getLocalDateWithUnknownFormat(String dString) { | |
LocalDate[] localDate = {null}; | |
Arrays.asList("yyyy-MM-dd'T'HH:mm:ss'Z'", "yyyy-MM-dd'T'HH:mm:ssZ", | |
"yyyy-MM-dd'T'HH:mm:ss", "yyyy-MM-dd'T'HH:mm:ss.SSS'Z'", | |
"yyyy-MM-dd'T'HH:mm:ss.SSSZ", "yyyy-MM-dd HH:mm:ss", | |
"MM/dd/yyyy HH:mm:ss", "MM/dd/yyyy'T'HH:mm:ss.SSS'Z'", | |
"MM/dd/yyyy'T'HH:mm:ss.SSSZ", "MM/dd/yyyy'T'HH:mm:ss.SSS", | |
"MM/dd/yyyy'T'HH:mm:ssZ", "MM/dd/yyyy'T'HH:mm:ss", | |
"yyyy:MM:dd HH:mm:ss", "yyyyMMdd") | |
.stream().parallel().forEach(f-> { |
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List<Integer> numbers = asList(1, 2, 3, 4, 5); | |
List<Integer> even_numbers = numbers.stream().filter(num -> num % 2 == 0).collect(Collectors.toList()); | |
System.out.println(even_numbers) | |
// will print [2,4] |
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buckets: [ | |
{ | |
key: 0KB to 1KB | |
from: 0 | |
from_as_string: 0.0 | |
to: 1024 | |
to_as_string: 1024.0 | |
doc_count: 124181 | |
} | |
{ |
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{ | |
"aggs": { | |
"enron_size_ranges": { | |
"range": { | |
"field": "content_size_in_bytes", | |
"ranges": [ | |
{ | |
"key": "0KB to 1KB", | |
"from": 0, | |
"to": 1024 |
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__author__ = 'pmanvi' | |
from elasticsearch import Elasticsearch | |
from elasticsearch_dsl import Search, Q | |
es = Elasticsearch([{'host': 'localhost'},{'port': 9200}]) | |
count = Search(using=es).index("enron-email").count() | |
print(count) |
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