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values.yaml
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values.yaml
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# Values to start up datahub after starting up the datahub-prerequisites chart with "prerequisites" release name
# This chart has been copied from upstream and the configuration changed as needed.
datahub-gms:
enabled: true
image:
repository: acryldata/datahub-gms
resources:
limits:
memory: 2Gi
requests:
cpu: 100m
memory: 1Gi
livenessProbe:
initialDelaySeconds: 60
periodSeconds: 30
failureThreshold: 8
readinessProbe:
initialDelaySeconds: 120
periodSeconds: 30
failureThreshold: 8
datahub-frontend:
enabled: true
image:
repository: acryldata/datahub-frontend-react
resources:
limits:
memory: 1400Mi
requests:
cpu: 100m
memory: 512Mi
ingress:
enabled: false
defaultUserCredentials: {}
service:
extraLabels: {}
extraEnvs:
- name: AUTH_OIDC_ENABLED
value: "false"
- name: AUTH_OIDC_DISCOVERY_URI
value: https://accounts.google.com/.well-known/openid-configuration
- name: AUTH_OIDC_BASE_URL
value: "localhost:9002"
- name: AUTH_OIDC_SCOPE
value: "openid profile email"
- name: AUTH_OIDC_CLIENT_ID
valueFrom:
secretKeyRef:
name: datahub-oidc-secret
key: id
- name: AUTH_OIDC_CLIENT_SECRET
valueFrom:
secretKeyRef:
name: datahub-oidc-secret
key: secret
- name: AUTH_OIDC_USER_NAME_CLAIM
value: email
acryl-datahub-actions:
enabled: true
image:
repository: acryldata/datahub-actions
tag: "v0.0.15"
resources:
limits:
memory: 512Mi
requests:
cpu: 300m
memory: 256Mi
datahub-mae-consumer:
image:
repository: acryldata/datahub-mae-consumer
resources:
limits:
memory: 1536Mi
requests:
cpu: 100m
memory: 256Mi
datahub-mce-consumer:
image:
repository: acryldata/datahub-mce-consumer
resources:
limits:
memory: 1536Mi
requests:
cpu: 100m
memory: 256Mi
datahub-ingestion-cron:
enabled: false
image:
repository: acryldata/datahub-ingestion
elasticsearchSetupJob:
enabled: true
image:
repository: acryldata/datahub-elasticsearch-setup
resources:
limits:
cpu: 500m
memory: 512Mi
requests:
cpu: 300m
memory: 256Mi
extraInitContainers: []
podSecurityContext:
fsGroup: 1000
securityContext:
runAsUser: 1000
annotations:
helm.sh/hook: pre-install,pre-upgrade
helm.sh/hook-weight: "-5"
helm.sh/hook-delete-policy: before-hook-creation
podAnnotations: {}
extraSidecars: []
kafkaSetupJob:
enabled: true
image:
repository: acryldata/datahub-kafka-setup
resources:
limits:
cpu: 500m
memory: 1024Mi
requests:
cpu: 300m
memory: 768Mi
extraInitContainers: []
podSecurityContext:
fsGroup: 1000
securityContext:
runAsUser: 1000
annotations:
helm.sh/hook: pre-install,pre-upgrade
helm.sh/hook-weight: "-5"
helm.sh/hook-delete-policy: before-hook-creation
podAnnotations: {}
extraSidecars: []
mysqlSetupJob:
enabled: false
image:
repository: acryldata/datahub-mysql-setup
resources:
limits:
cpu: 500m
memory: 512Mi
requests:
cpu: 300m
memory: 256Mi
extraInitContainers: []
podSecurityContext:
fsGroup: 1000
securityContext:
runAsUser: 1000
annotations:
helm.sh/hook: pre-install,pre-upgrade
helm.sh/hook-weight: "-5"
helm.sh/hook-delete-policy: before-hook-creation
podAnnotations: {}
extraSidecars: []
postgresqlSetupJob:
enabled: true
image:
repository: acryldata/datahub-postgres-setup
resources:
limits:
cpu: 500m
memory: 512Mi
requests:
cpu: 300m
memory: 256Mi
extraInitContainers: []
podSecurityContext:
fsGroup: 1000
securityContext:
runAsUser: 1000
annotations:
helm.sh/hook: pre-install,pre-upgrade
helm.sh/hook-weight: "-5"
helm.sh/hook-delete-policy: before-hook-creation
podAnnotations: {}
extraSidecars: []
## No code data migration
datahubUpgrade:
enabled: false
image:
repository: acryldata/datahub-upgrade
batchSize: 1000
batchDelayMs: 100
noCodeDataMigration:
image:
command:
args: []
sqlDbType: "POSTGRES"
podSecurityContext: {}
securityContext: {}
annotations:
helm.sh/hook: post-install,post-upgrade
helm.sh/hook-weight: "-2"
helm.sh/hook-delete-policy: before-hook-creation
podAnnotations: {}
extraSidecars: []
cleanupJob:
image:
command:
args: []
resources:
limits:
cpu: 500m
memory: 512Mi
requests:
cpu: 300m
memory: 256Mi
concurrencyPolicy: Allow
extraSidecars: []
restoreIndices:
image:
command:
args: []
resources:
limits:
cpu: 500m
memory: 512Mi
requests:
cpu: 300m
memory: 256Mi
concurrencyPolicy: Allow
extraSidecars: []
extraInitContainers: []
## Runs system update processes
## Includes: Elasticsearch Indices Creation/Reindex (See global.elasticsearch.index for additional configuration)
datahubSystemUpdate:
image:
repository: acryldata/datahub-upgrade
podSecurityContext: {}
securityContext: {}
annotations:
helm.sh/hook: pre-install,pre-upgrade
helm.sh/hook-weight: "-4"
helm.sh/hook-delete-policy: before-hook-creation
nonblocking:
enabled: false
annotations:
helm.sh/hook: post-install,post-upgrade
helm.sh/hook-delete-policy: before-hook-creation
image:
args:
podAnnotations: {}
resources:
limits:
cpu: 500m
memory: 512Mi
requests:
cpu: 300m
memory: 256Mi
extraSidecars: []
extraInitContainers: []
global:
strict_mode: true
graph_service_impl: elasticsearch
datahub_analytics_enabled: true
datahub_standalone_consumers_enabled: false
elasticsearch:
host: "elasticsearch-master"
port: "9200"
skipcheck: "false"
insecure: "false"
useSSL: "false"
## The following section controls when and how reindexing of elasticsearch indices are performed
index:
enableMappingsReindex: true
enableSettingsReindex: true
upgrade:
cloneIndices: true
allowDocCountMismatch: false
## Search related configuration
search:
## Maximum terms in aggregations
maxTermBucketSize: 20
## Configuration around exact matching for search
exactMatch:
## if false will only apply weights, if true will exclude non-exact
exclusive: false
## include prefix exact matches
withPrefix: true
## boost multiplier when exact with case
exactFactor: 2.0
## boost multiplier when exact prefix
prefixFactor: 1.6
## stacked boost multiplier when case mismatch
caseSensitivityFactor: 0.7
## enable exact match on structured search
enableStructured: true
## Configuration for graph service dao
graph:
## graph dao timeout seconds
timeoutSeconds: 50
## graph dao batch size
batchSize: 1000
## graph dao max result size
maxResult: 10000
custom:
enabled: false
# See documentation: https://datahubproject.io/docs/how/search/#customizing-search
config:
# Notes:
#
# First match wins
#
# queryRegex = Java regex syntax
#
# functionScores - See the following for function score syntax
# https://www.elastic.co/guide/en/elasticsearch/reference/7.17/query-dsl-function-score-query.html
queryConfigurations:
# Select *
- queryRegex: '[*]|'
simpleQuery: false
prefixMatchQuery: false
exactMatchQuery: false
boolQuery:
must_not:
term:
deprecated:
value: true
functionScore:
functions:
- filter:
term:
materialized:
value: true
weight: 0.8
score_mode: multiply
boost_mode: multiply
# Criteria for exact-match only
# Contains quoted or contains underscore then use exact match query
- queryRegex: >-
["'].+["']|\S+_\S+
simpleQuery: false
prefixMatchQuery: true
exactMatchQuery: true
functionScore:
functions:
- filter:
term:
materialized:
value: true
weight: 0.8
- filter:
term:
deprecated:
value: true
weight: 0
score_mode: multiply
boost_mode: multiply
# default
- queryRegex: .*
simpleQuery: true
prefixMatchQuery: true
exactMatchQuery: true
boolQuery:
must_not:
term:
deprecated:
value: true
functionScore:
functions:
- filter:
term:
materialized:
value: true
weight: 0.8
score_mode: multiply
boost_mode: multiply
kafka:
bootstrap:
server: "prerequisites-kafka:9092"
zookeeper:
server: "prerequisites-zookeeper:2181"
# This section defines the names for the kafka topics that DataHub depends on, at a global level. Do not override this config
# at a sub-chart level.
topics:
metadata_change_event_name: "MetadataChangeEvent_v4"
failed_metadata_change_event_name: "FailedMetadataChangeEvent_v4"
metadata_audit_event_name: "MetadataAuditEvent_v4"
datahub_usage_event_name: "DataHubUsageEvent_v1"
metadata_change_proposal_topic_name: "MetadataChangeProposal_v1"
failed_metadata_change_proposal_topic_name: "FailedMetadataChangeProposal_v1"
metadata_change_log_versioned_topic_name: "MetadataChangeLog_Versioned_v1"
metadata_change_log_timeseries_topic_name: "MetadataChangeLog_Timeseries_v1"
platform_event_topic_name: "PlatformEvent_v1"
datahub_upgrade_history_topic_name: "DataHubUpgradeHistory_v1"
maxMessageBytes: "5242880" # 5MB
producer:
compressionType: none
maxRequestSize: "5242880" # 5MB
consumer:
maxPartitionFetchBytes: "5242880" # 5MB
stopContainerOnDeserializationError: true
schemaregistry:
type: INTERNAL
# Confluent Kafka Implementation
# type: KAFKA
# url: "http://prerequisites-cp-schema-registry:8081"
# Glue Implementation - `url` not applicable
# type: AWS_GLUE
# glue:
# region: us-east-1
# registry: datahub
neo4j:
host: "prerequisites-neo4j:7474"
uri: "bolt://prerequisites-neo4j"
username: "neo4j"
password:
secretRef: neo4j-secrets
secretKey: neo4j-password
sql:
datasource:
host: "prerequisites-postgresql:5432"
hostForpostgresqlClient: "prerequisites-postgresql"
port: "5432"
url: "jdbc:postgresql://prerequisites-postgresql:5432/datahub"
driver: "org.postgresql.Driver"
username: "postgres"
password:
secretRef: postgresql-secrets
secretKey: postgres-password
datahub:
version: v0.13.2
gms:
protocol: "http"
port: "8080"
nodePort: "30001"
frontend:
validateSignUpEmail: true
monitoring:
enablePrometheus: true
portName: jmx
mae_consumer:
port: "9091"
nodePort: "30002"
appVersion: "1.0"
systemUpdate:
## The following options control settings for datahub-upgrade job which will
## managed ES indices and other update related work
enabled: true
encryptionKey:
secretRef: "datahub-encryption-secrets"
secretKey: "encryption_key_secret"
# Set to false if you'd like to provide your own secret.
provisionSecret:
enabled: true
autoGenerate: true
annotations: {}
managed_ingestion:
enabled: true
defaultCliVersion: "0.13.1.2"
metadata_service_authentication:
enabled: true
systemClientId: "__datahub_system"
systemClientSecret:
secretRef: "datahub-auth-secrets"
secretKey: "system_client_secret"
tokenService:
signingKey:
secretRef: "datahub-auth-secrets"
secretKey: "token_service_signing_key"
salt:
secretRef: "datahub-auth-secrets"
secretKey: "token_service_salt"
# Set to false if you'd like to provide your own auth secrets
provisionSecrets:
enabled: true
autoGenerate: true
annotations: {}
## Enables always emitting a MCL even when no changes are detected. Used for Time Based Lineage when no changes occur.
alwaysEmitChangeLog: false
## Enables diff mode for graph writes, uses a different code path that produces a diff from previous to next to write relationships instead of wholesale deleting edges and reading
enableGraphDiffMode: true
## Values specific to the unified search and browse feature.
search_and_browse:
show_search_v2: true # If on, show the new search filters experience as of v0.10.5
show_browse_v2: true # If on, show the new browse experience as of v0.10.5
backfill_browse_v2: true # If on, run the backfill upgrade job that generates default browse paths for relevant entities