Relation Target¶
The relation target operation probably is the most important and common output operation. It
writes the result of a mapping to a relation. The relation then is responsible for specifying
the physical location or connection, the format and so on.
Example¶
targets:
stations:
kind: relation
mapping: stations_mapping
relation: stations
mode: overwrite
parallelism: 32
rebalance: true
partition:
year: "${processing_date}"
relations:
stations:
kind: file
format: parquet
location: "$basedir/stations/"
schema:
kind: avro
file: "${project.basedir}/schema/stations.avsc"
partitions:
- name: year
type: integer
granularity: 1
Since Flowman 0.18.0, you can also directly specify the relation inside the target definition. This saves you
from having to create a separate relation definition in the relations section. This is only recommended, if you
do not access the target relation otherwise, such that a shared definition would not provide any benefit.
targets:
stations:
kind: relation
mapping: stations_mapping
relation:
kind: file
name: stations-relation
format: parquet
location: "$basedir/stations/"
schema:
kind: avro
file: "${project.basedir}/schema/stations.avsc"
partitions:
- name: year
type: integer
granularity: 1
mode: OVERWRITE
buildPolicy: IF_EMPTY
parallelism: 32
rebalance: true
partition:
year: "${processing_date}"
Fields¶
kind(mandatory) (type: string):relationdescription(optional) (type: string): Optional descriptive text of the build target.mapping(optional) (type: string): Specifies the name of the input mapping to be written. When no mapping is specified, then the target will only create or destroy the corresponding relation, but not populate it with data.relation(mandatory) (type: string): Specifies the name of the relation to write to, or alternatively directly embeds the relation.mode(optional) (type: string) (default=overwrite): Specifies the behavior when data or table or partition already exists. Options include:OVERWRITE: overwrite the existing data. If dynamically writing to a partitioned table, all partitions will be removed first.OVERWRITE_DYNAMICorDYNAMIC_OVERWRITE: overwrite the existing data. If dynamically writing to a partitioned table, only those partitions with new records will be replacedAPPEND: append the data to already existing data.UPDATEorUPSERT: perform upserts - not all relations support this (JDBC and Delta Lake are two examples supporting upserts).IGNOREorIGNORE_IF_EXISTS: ignore the operation (i.e. no-op).ERRORorERROR_IF_EXISTS: throw an exception at runtime . The default value is controlled by the Flowman config variableflowman.default.target.outputMode.
partition(optional) (type: map:string) (default=empty): Specifies the partition to be written to. When the target relation has defined partitions, Flowman always supports writing into individual partitions. Some relation types (hiveTable, jdbc and file) also support dynamic partitioning, where you do not specify an explicit target partition, but simply pass in possibly multiple different partition values in the data itself (i.e. the output of themappingwhich is written to the relation).parallelism(optional) (type: integer) (default=16): This specifies the parallelism to be used when writing data. The parallelism equals the number of files being generated in HDFS output and also equals the maximum number of threads that are used in total in all Spark executors to produce the output. Ifparallelismis set to zero or to a negative number, Flowman will not coalesce any partitions and generate as many files as Spark partitions. The default value is controlled by the Flowman config variablefloman.default.target.parallelism.rebalance(optional) (type: bool) (default=false): Enables rebalancing the size of all partitions by introducing an additional internal shuffle operation. Each partition and output file will contain approximately the same number of records. The default value is controlled by the Flowman config variablefloman.default.target.rebalance.buildPolicy(optional) (type: string) (default=empty): Specifies a build policy, which determines when the target is considered to be dirty. If no value is provided, then Flowman will fall back to the config variableflowman.default.target.buildPolicy. Possible values areALWAYS: The target is always considered to be dirty.IF_EMPTY: The target is considered to be dirty, if the specified partition does not exist (or is empty). If no partition is specified, then the target is dirty if the whole relation is empty.IF_TAINTED: The target is considered to be dirty, only if it is tainted by a dirty dependency.SMART: The target is considered to be dirty, if the target partition is empty, or when the output mode is set toAPPENDor when no partition is specified (full overwrite)COMPAT: The target is considered to be dirty, if the target is empty, or when the output mode is set toAPPEND. This setting provides the same behaviour as Flowman before version 0.30.0.
Description¶
The relation target will write the output of a mapping specified via the mapping field into the relation specified
in relation. If the mapping field is not specified, then Flowman will only perform actions for creating and removing
the relation during the CREATE, TRUNCATE and DESTROY phase. In this case, the BUILD phase is a no-op for this
target.
Supported Execution Phases¶
CREATE- This will create the target relation or migrate it to the newest schema (if possible).BUILD- This will write the output of the specified mapping into the relation. If no mapping is specified, nothing will be done.VERIFY- This will verify that the relation (and any specified partition) actually contains data.TRUNCATE- This removes the contents of the specified relation. The relation itself will not be removed (for example if the relation refers to a Hive table). Note for consistency reasons, theTRUNCATEphase will only be enabled for relation targets with a mapping.DESTROY- This drops the relation itself and all its content.
Read more about execution phases.
Dirty Condition¶
Flowman will apply some logic to find out if a relation target is to be considered being dirty for a specific execution phase, which means that it needs to participate in that phase. The logic depends on the execution phase as follows:
CREATE- A relation target is considered to be dirty, when the relation physically does not exist, or when its schema is not up-to-date. Then Flowman will either create the relation or perform a migration.BUILD- A relation target is dirty in theBUILDaccording to the build policy.VERIFY- A relation target is always dirty during theVERIFYphase.TRUNCATE- A relation target is dirty in theTRUNCATEphase when it contains some records, which need to be removed.DESTROY- A relation target is dirty in theTRUNCATEphase when it physically exists and needs to be dropped.
Provided Metrics¶
The relation target also provides some metric containing the number of records written:
- Metric
target_recordswith the following set of attributesname- The name of the targetcategory- Always set totargetkind- Always set torelationnamespace- Name of the namespace (typicallydefault)project- Name of the projectversion- Version of the project
See Execution Metrics for more information how to use these metrics.