...
| 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 | Specifies the fields used to construct the output schema. | Will add macro literals as schema fields.* |
| GroupByAggregator | groupByFields, aggregates, | Gets fields from input schema and adds aggregates to to output fields list. | Macro literals do not exist in input schema or are valid fields for an output schema. |
| RowDenormalizerAggregator | keyField, nameField, valueField | Gets schemas by field names from the input schema. | Macro literals do not exist as fields in the input schema. |
| BatchWritableSink | name, type | Creates dataset from properties. | Macro literals will lead to a misnamed dataset and type. |
| KVTableSink | keyField, valueField | Validates that presence and type of these fields in the input schema. | Macro literals will not exist in the input schema. |
| ReferenceBatchSink | referenceName | Verifies reference name meets dataset ID constraints. | Macro literal may not meet constraints. |
| SnapshotFileBatchAvroSink | schema | Parses schema to add file properties. | Macro literals may disallow schema parsing or incorrect schema creation. |
| SnapshotFileBatchParquetSink | schema | Parses schema to add file properties. | Macro literals may disallow schema parsing or incorrect schema creation. |
| SnapshotFileBatchSink | name | Creates dataset from name field. | Name of data set will change on macro substitution. |
* 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 | |||
|---|---|---|---|---|---|
| TableSink | schema, rowField | Validates output and input schemas if properties specified. | Macro literals will lead to failed validation of schema and row field. | ||
| TimePartitionedFileSetSink | all properties* | Creates dataset from properties. | Dataset will be incorrect with macro literals as fields. | ||
| TimePartitionedFileSetDatasetAvroSink | schema | Parses schema to add file properties. | Parsing macro literals in schema would fail. | ||
| TimePartitionedFileSetDatasetParquetSink | schema | Parses schema to add file properties. | Parsing macro literals in schema would fail. | ||
| FileBatchSource | timeTable | Creates dataset from time table property. | Macro literal would lead to incorrect dataset creation. | ||
| ReferenceBatchSource | referenceName | Verifies that reference name meets dataset ID constraints. | Macro literals may not meet dataset ID constraints. | ||
| BatchReadableSource | name, type | Dataset is created from name and type properties. | Macro literals would lead to incorrect dataset creation. | ||
| SnapshotFileBatchAvroSource | schema | Parses schema property to set output schema. | Macro literals can lead to invalid schema parsing or creation. | ||
| SnapshotFileBatchParquetSource | schema | Parses schema property to set output schema. | Macro literals can lead to invalid schema parsing or creation. | ||
| SnapshotFileBatchSource | all properties* | Creates dataset from properties. | Dataset will be incorrect with macro literals as fields. | ||
| StreamBatchSource | schema, name, format | Stream is added and created through name and schema is parsed to set output schema. | Macro literals will lead to bad parsing of properties. | ||
| TableSource | schema | Schema parsed to set output schema. | Macro literals will lead to failed or incorrect schema creation. | ||
| TimePartitionedFileSetDatasetAvroSource | schema | Schema parsed to set output schema. | Macro literals will lead to failed or incorrect schema creation. | ||
| TimePartitionedFileSetDatasetParquetSource | schema | Schema parsed to set output schema. | Macro literals will lead to failed or incorrect schema creation. | ||
| TimePartitionedFileSetSource | name, basePath | Name and basePath are used to create the dataset. | Macro literals can lead to wrong or bad dataset creation. | ||
| JavaScriptTransform | schema, script, lookup | Schema format is used to set the output schema. JavaScript and lookup properties are also parsed for correctness. | Macro literals can cause parsing to fail for schema creation, JavaScript compilation, or lookup parsing. | ||
| LogParserTransform | inputName | Gets field from input schema through inputName property. | With a macro literal, the field will not exist in the input schema. | ||
| ProjectionTransform | fieldsToKeep, fieldsToDrop, fieldsToConvert, fieldsToRename | Properties are used to create output schema. | Macro literals will lied to a failed or wrong output schema being created. | ||
| PythonEvaluator | schema | Schema parsed for correctness and set as output schema. | Macro literal can lead to failed or bad schema creation. | ||
| ValidatorTransform | validators, validationScript, | Validator property used to set validator plugins. Script property is also parsed for correctness. | Macro literals can lead to failed parsing or plugins being set. Scripts can not be validated without validators. | ||
| ElasticsearchSource | schema | Schema parsed for correctness and set as output schema. | Macro literals can lead to failed or incorrect schema parsing/creation. | ||
| HBaseSink | rowField, schema | Parsed to valid the output and input schemas and set the ouput schema. | Macro literals can lead to failed or incorrect schema parsing/creation. | ||
| HBaseSource | schema | Parsed for correctness to set output schema. | Macro literals can lead to failed or incorrect schema parsing/creation. | ||
| HiveBatchSource | schema | Parsed for correctness to set ouput schema. | Macro literals can lead to failed or incorrect schema parsing/creation. | ||
| MongoDBBatchSource | schema | Parsed for correctness and validated to set output schema. | Macro literals can lead to failed or incorrect schema parsing/creation. | ||
| NaiveBayesClassifier | predictionField | Configures and sets fields of output schema and checked for existence in input schema. | Output schema would be created wrongly with macro literal as prediction field and input schema check behavior is undefined. | ||
| Compressor | compressor, schema | Parsed for correctness and used to set output schema. | Macro literals can lead to failed or incorrect schema parsing/creation. | ||
| CSVFormatter | schema | Parsed for correctness and used to set output schema. | Macro literals can lead to failed or incorrect schema parsing/creation. | ||
| CSVParser | field | Validated against input schema to check existence of field. | Macro literals may not exist as fields in the input schema. | ||
| Decoder | decode, schema | Decode property is parsed and validated then used to validate the input schema. Schema parsed to set output schema. | Macro literals can lead to failed or incorrect schema parsing/creation or incorrect validation of input schema. | ||
| Decompressor | decompressor, schema | Decompressor property is parsed and validated then used to validate the input schema. Schema parsed to set output schema. | Macro literals can lead to failed or incorrect schema parsing/creation or incorrect validation of input schema. | ||
| Encoder | encode, schema | Encode property is parsed and validated then used to validate the input schema. Schema parsed to set output schema. | Macro literals can lead to failed or incorrect schema parsing/creation or incorrect validation of input schema. | ||
| JSONFormatter | schema | Parsed for correctness and used to set output schema. | Macro literals can lead to failed or incorrect schema parsing/creation. | ||
| JSONParser | field, schema | Validates if field property is present in input schema. Parses schema property to set output schema. | Macro literal may not exist in input schema and may lead to failed parsing or creation of output schema. | ||
| StreamFormatter | schema | Parsed for correctness and used to set output schema. | Macro literals can lead to failed or incorrect schema parsing/creation. |
* 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 | Justification |
|---|---|---|---|
| StreamBatchSource | duration, delay | Parsed and validated for proper formatting. | The parsing/validation is not related to the schema's creation. |
| TimePartitionedFileSetSource | duration, delay | Parsed and validated for proper formatting. | The parsing/validation is not related to the schema's or dataset's creation. |
| DBSource | importQuery, boundingQuery, splitBy, numSplits | Validate connection settings and parsed for formatting. | The parsing/validation does not lead to the creation of any schema or dataset. |
| HDFSSink | timeSuffix | Parsed to validate proper formatting of time suffix. | The parsing/validation does not lead to the creation of any schema or dataset. |
| KafkaProducer | async | Parsed to check proper formatting of boolean. | The parsing/validation does not lead to the creation of any schema or dataset. |
| NaiveBayesClassifier | fieldToClassify | Checked if input schema field is of type String. | The validation does not lead to the creation or alteration of any schema. |
| NaiveBayesTrainer | fieldToClassify, predictionField | Checked if input schema fields are of type String and Double respectively. | The validation does not lead to the creation or alteration of any schema. |
| CloneRecord | copies | Validated against being 0 or over the max number of copies. | The validation does not lead to the creation of any schema or dataset. |
| CSVFormatter | format | Validated for proper formatting. | The validation does not lead to the creation of any schema or dataset. |
| CSVParser | format | Validated for proper formatting. | The validation does not lead to the creation of any schema or dataset. |
| Hasher | hash | Checked against valid hash formats. | The check does not lead to the validation or alteration of any schema. |
| JSONParser | mapping | Mappings extracted and placed into a map with their expressions. | The extraction does not affect any schema creation or validation. |
| StreamFormatter | format | Checked against valid stream formats. | The check does not lead to the validation or alteration of any schema. |
| ValueMapper | mapping, defaults | Parsed after configuration is initialized and validated. | The check does not lead to the validation or alteration of any schema. |
* May need verification
Setting Hydrator runtime arguments using CDAP runtime arguments/preferences
...