mirror of
https://github.com/twitter/the-algorithm.git
synced 2024-12-27 04:31:53 +01:00
617c8c787d
Unified User Action (UUA) is a centralized, real-time stream of user actions on Twitter, consumed by various product, ML, and marketing teams. UUA makes sure all internal teams consume the uniformed user actions data in an accurate and fast way.
152 lines
4.0 KiB
Plaintext
152 lines
4.0 KiB
Plaintext
import os
|
|
import itertools
|
|
import subprocess
|
|
import math
|
|
|
|
SERVICE_NAME = 'uua-enricher'
|
|
|
|
CPU_NUM = 3
|
|
HEAP_SIZE = 6 * GB
|
|
RAM_SIZE = 8 * GB
|
|
DISK_SIZE = 3 * GB
|
|
|
|
class Profile(Struct):
|
|
package = Default(String, SERVICE_NAME)
|
|
cmdline_flags = Default(String, '')
|
|
log_level = Default(String, 'INFO')
|
|
instances = Default(Integer, 10)
|
|
kafka_bootstrap_servers = Default(String, '/s/kafka/bluebird-1:kafka-tls')
|
|
|
|
resources = Resources(
|
|
cpu = CPU_NUM,
|
|
ram = RAM_SIZE,
|
|
disk = DISK_SIZE
|
|
)
|
|
|
|
install = Packer.install(
|
|
name = '{{profile.package}}',
|
|
version = Workflows.package_version()
|
|
)
|
|
|
|
async_profiler_install = Packer.install(
|
|
name = 'async-profiler',
|
|
role = 'csl-perf',
|
|
version = 'latest'
|
|
)
|
|
|
|
setup_jaas_config = Process(
|
|
name = 'setup_jaas_config',
|
|
cmdline = '''
|
|
mkdir -p jaas_config
|
|
echo "KafkaClient {
|
|
com.sun.security.auth.module.Krb5LoginModule required
|
|
principal=\\"discode@TWITTER.BIZ\\"
|
|
useKeyTab=true
|
|
storeKey=true
|
|
keyTab=\\"/var/lib/tss/keys/fluffy/keytabs/client/discode.keytab\\"
|
|
doNotPrompt=true;
|
|
};" >> jaas_config/jaas.conf
|
|
'''
|
|
)
|
|
|
|
main = JVMProcess(
|
|
name = SERVICE_NAME,
|
|
jvm = Java11(
|
|
heap = HEAP_SIZE,
|
|
extra_jvm_flags =
|
|
'-Djava.net.preferIPv4Stack=true'
|
|
|
|
' -XX:+UseNUMA'
|
|
' -XX:+AggressiveOpts'
|
|
' -XX:+PerfDisableSharedMem' # http://www.evanjones.ca/jvm-mmap-pause.html
|
|
|
|
' -Dlog_level={{profile.log_level}}'
|
|
' -Dlog.access.output=access.log'
|
|
' -Dlog.service.output={{name}}.log'
|
|
' -Djava.security.auth.login.config=jaas_config/jaas.conf'
|
|
),
|
|
arguments =
|
|
'-jar {{name}}-bin.jar'
|
|
' -admin.port=:{{thermos.ports[health]}}'
|
|
' -kafka.bootstrap.servers={{profile.kafka_bootstrap_servers}}'
|
|
' -kafka.application.id={{name}}.{{environment}}'
|
|
' -kafka.application.num.instances={{instances}}' # Used for static partitioning
|
|
' -kafka.application.server={{mesos.instance}}.{{name}}.{{environment}}.{{role}}.service.{{cluster}}.twitter.com:80'
|
|
' -com.twitter.finatra.kafkastreams.config.principal={{role}}'
|
|
' -thrift.client.id={{name}}.{{environment}}'
|
|
' -service.identifier="{{role}}:{{name}}:{{environment}}:{{cluster}}"'
|
|
' -local.cache.ttl.seconds=86400'
|
|
' -local.cache.max.size=400000000'
|
|
' {{profile.cmdline_flags}}',
|
|
resources = resources
|
|
)
|
|
|
|
stats = Stats(
|
|
library = 'metrics',
|
|
port = 'admin'
|
|
)
|
|
|
|
job_template = Service(
|
|
name = SERVICE_NAME,
|
|
role = 'discode',
|
|
instances = '{{profile.instances}}',
|
|
contact = 'disco-data-eng@twitter.com',
|
|
constraints = {'rack': 'limit:1', 'host': 'limit:1'},
|
|
announce = Announcer(
|
|
primary_port = 'health',
|
|
portmap = {'aurora': 'health', 'admin': 'health'}
|
|
),
|
|
task = Task(
|
|
resources = resources,
|
|
name = SERVICE_NAME,
|
|
processes = [async_profiler_install, install, setup_jaas_config, main, stats],
|
|
constraints = order(async_profiler_install, install, setup_jaas_config, main)
|
|
),
|
|
health_check_config = HealthCheckConfig(
|
|
initial_interval_secs = 100,
|
|
interval_secs = 60,
|
|
timeout_secs = 60,
|
|
max_consecutive_failures = 4
|
|
),
|
|
update_config = UpdateConfig(
|
|
batch_size = 50,
|
|
watch_secs = 90,
|
|
max_per_shard_failures = 3,
|
|
max_total_failures = 0,
|
|
rollback_on_failure = False
|
|
)
|
|
)
|
|
|
|
PRODUCTION = Profile(
|
|
)
|
|
|
|
STAGING = Profile(
|
|
package = SERVICE_NAME+'-staging',
|
|
cmdline_flags = '',
|
|
kafka_bootstrap_servers = '/s/kafka/custdevel:kafka-tls'
|
|
)
|
|
|
|
DEVEL = STAGING(
|
|
log_level = 'DEBUG',
|
|
)
|
|
|
|
|
|
prod_job = job_template(
|
|
tier = 'preferred',
|
|
environment = 'prod',
|
|
).bind(profile = PRODUCTION)
|
|
|
|
staging_job = job_template(
|
|
environment = 'staging'
|
|
).bind(profile = STAGING)
|
|
|
|
devel_job = job_template(
|
|
environment = 'devel'
|
|
).bind(profile = DEVEL)
|
|
|
|
jobs = []
|
|
for cluster in ['atla', 'pdxa']:
|
|
jobs.append(prod_job(cluster = cluster))
|
|
jobs.append(staging_job(cluster = cluster))
|
|
jobs.append(devel_job(cluster = cluster))
|