Tap Zendesk
Configuring what to replicate
PipelineWise configures every tap with a common structured YAML file format. A sample YAML for Zendesk replication can be generated into a project directory by following the steps in the Generating Sample Pipelines section.
Example YAML for tap-zendesk:
---
# ------------------------------------------------------------------------------
# General Properties
# ------------------------------------------------------------------------------
id: "zendesk" # Unique identifier of the tap
name: "Sampe data on Zendesk" # Name of the tap
type: "tap-zendesk" # !! THIS SHOULD NOT CHANGE !!
owner: "somebody@foo.com" # Data owner to contact
#send_alert: False # Optional: Disable all configured alerts on this tap
#slack_alert_channel: "#tap-channel" # Optional: Sending a copy of specific tap alerts to this slack channel
# ------------------------------------------------------------------------------
# Source (Tap) - Zendesk connection details
# ------------------------------------------------------------------------------
db_conn:
access_token: "<ACCESS_TOKEN>" # Plain string or vault encrypted
subdomain: "zendesk_subdomain" #
start_date: "2000-01-01T00:00:00Z" # Data before this date will be ignored
#rate_limit: 1000 # If you wish to avoid ever hitting the rate limit
#max_workers: 10 # Max concurrent threads when communicating to zendesk API
#batch_size: 50 # Number of tickets to query in one batch
# ------------------------------------------------------------------------------
# Destination (Target) - Target properties
# Connection details should be in the relevant target YAML file
# ------------------------------------------------------------------------------
target: "snowflake" # ID of the target connector where the data will be loaded
batch_size_rows: 20000 # Batch size for the stream to optimise load performance
stream_buffer_size: 0 # In-memory buffer size (MB) between taps and targets for asynchronous data pipes
default_target_schema: "zendesk" # Target schema where the data will be loaded
default_target_schema_select_permission: # Optional: Grant SELECT on schema and tables that created
- grp_power
#batch_wait_limit_seconds: 3600 # Optional: Maximum time to wait for `batch_size_rows`. Available only for snowflake target.
# Options only for Snowflake target
#archive_load_files: False # Optional: when enabled, the files loaded to Snowflake will also be stored in `archive_load_files_s3_bucket`
#archive_load_files_s3_prefix: "archive" # Optional: When `archive_load_files` is enabled, the archived files will be placed in the archive S3 bucket under this prefix.
#archive_load_files_s3_bucket: "<BUCKET_NAME>" # Optional: When `archive_load_files` is enabled, the archived files will be placed in this bucket. (Default: the value of `s3_bucket` in target snowflake YAML)
# ------------------------------------------------------------------------------
# Source to target Schema mapping
# ------------------------------------------------------------------------------
schemas:
- source_schema: "zendesk" # This is mandatory, but can be anything in this tap type
target_schema: "zendesk" # Target schema in the destination Data Warehouse
# List of Zendesk tables to replicate into destination Data Warehouse
# Tap-Zendesk will use the best incremental strategies automatically to replicate data
tables:
- table_name: "group_memberships"
- table_name: "groups"
- table_name: "macros"
- table_name: "organizations"
- table_name: "satisfaction_ratings"
- table_name: "tags"
- table_name: "tickets"
- table_name: "ticket_audits"
- table_name: "ticket_comments"
- table_name: "ticket_fields"
- table_name: "ticket_metrics"
- table_name: "users"
# OPTIONAL: Load time transformations
#transformations:
# - column: "last_name" # Column to transform
# type: "SET-NULL" # Transformation type