Goals
Checklist
- User stories documented (Albert/Vinisha)
- User stories reviewed (Nitin)
- Design documented (Albert/Vinisha)
- Design reviewed (Terence/Andreas)
- Feature merged ()
- Examples and guides ()
- Integration tests ()
- Documentation for feature ()
- Blog post
Use Cases
- A pipeline developer wants to create a pipeline that has several configuration settings that are not known at pipeline creation time, but that are set at the start of the each pipeline run. For example, the time partition(s) that should be read by the source, and the name of the dataset sink, need to be set at a per-run basis. The arguments can be set either through CDAP runtime arguments/preferences, or by the pipeline itself. For example, at the start of the run, the pipeline performs some action (ex: queries a dataset or makes an http call) to lookup which time partitions should be read, and where data should be written to, for that pipeline run. Alternatively, a user can manually specify the time partitions through CDAP runtime arguments/preferences then start the run.
User Stories
- As a pipeline developer, I want to be able to configure a plugin property to some value that will get substituted for each run based on the runtime arguments
- As a pipeline operator, I want to be able to set arguments for the entire pipeline that will be used for substitution
- As a pipeline operator, I want to be able to set arguments for a specific stage in the pipeline that will be used for substitution
- As a plugin developer, I want to be able to write a code that is executed at the start of the pipeline and sets arguments for the rest of the run.
Design (WIP - dont review yet)
Macros Syntax
Expanded Syntax : ${macro-type(macro)} Shorthand notation: ${macro} Example Usage: ${runtime(hostname)) - get hostname from runtime arguments ${token(hostname)) - get hostname from workflow token ${secure(access_key)) - get access key from secure store ${function_time(time_format)) - apply time function on the time_format provided and use the value. The Default (short-hand) usage will read from runtime arguments, having an expanded notation gives user option for using more macro types. Examples : ipConfig : ${hostname}:${port} JDBC connection string : jdbc:{jdbc-plugin}://{hostname}:{sql-port}/{db-name}
{ "stages": [ { "name": "customers", "plugin": { "name": "File", "type": "batchsource", "properties": { "path": "hdfs://host:port/${inputpath}" } } }, { "name": "items", "plugin": { "name": "File", "type": "batchsource", "properties": { "path": "hdfs://host:port/${inputpath}" // ${inputpath} will get replaced with the value of the 'items.inputpath' runtime argument } } } ] }
Changes to Existing Plugins (WIP)
Many plugins have fields (configurable properties) that are used in constructing or validating a schema at configure time. These fields need to have macros disabled to allow this. The following plugins and fields would be affected:
Plugin | Fields | Use | Conflict |
---|---|---|---|
BatchCassandraSource | schema | Parsed for correctness to create the schema. | Parsing a macro or schema with a nested macro would fail. |
CopybookSource | copybookContents | Copybook contents are converted to an InputStream and used to get external records, which are in turn used to add fields to the schema. | Schema would add macro literal as a field. |
DedupAggregator | uniqueFields, filterOperation | Both fields are used to validate the input schema created. | Macro literals do not exist as fields in schema and will throw IllegalArgumentException |
DistinctAggregator | fields | Used to specify the fields used to construct the output schema. | Will add macro literals as schema fields.* |
GroupByAggregator | groupByFields, aggregates, |
* May need verification
Other plugins have fields that are validated/processed at configure time that do not affect the schema. In these cases, these can be moved to initialization time. The following plugins and fields would be affected:
Plugin | Fields | Use |
---|---|---|
* May need verification
Setting Hydrator runtime arguments using CDAP runtime arguments/preferences
CDAP preferences and runtime arguments will be used directly as Hydrator arguments.
1.) Runtime arguments can be passed to hydrator pipeline in 2 ways:
- Using Prepipeline-CustomActions:
Prepipeline custom actions can set runtime arguments. For example, before running the pipeline, custom actions can copy local files to hdfs and set runtime arguments for input path for batchsource. In order to do that, we can expose setPreferences() and getPreferences() programmatic api for setting runtime arguments. These arguments can be passed to hydrator app using workflow token. - Using Hydrator UI:
For each stage, runtime arguments can be passed from hydrator UI using cdap REST endpoints for preferences/runtime arguments framework.
2.) Hydrator app will substitute properties using Macro substitution for each ETLStage. Now, plugins, like SFTP, which need secure substitution using key management can use 'secure' prefix in the macro. Macro substitution should vary depending on prefix of the arguments. In case of secure key, macro can be '$secure.key', in case of value directly to be substituted, macro can be '$inputpath' without any prefix.
Thoughts from Terence: