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fix: update tabulation in doc file
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gabb1er committed Nov 12, 2024
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36 changes: 18 additions & 18 deletions docs/03-job-configuration/03-Sources.md
Original file line number Diff line number Diff line change
Expand Up @@ -53,9 +53,9 @@ Common parameters for sources of any file type are:
or `s3a://` to read from S3.
* `persist` - *Optional*. One of the allowed Spark StorageLevels used to cache sources.
By default, sources are not cached. Supported Spark StorageLevels are:
* `NONE`, `DISK_ONLY`, `DISK_ONLY_2`, `MEMORY_ONLY`, `MEMORY_ONLY_2`, `MEMORY_ONLY_SER`,
`MEMORY_ONLY_SER_2`, `MEMORY_AND_DISK`, `MEMORY_AND_DISK_2`, `MEMORY_AND_DISK_SER`,
`MEMORY_AND_DISK_SER_2`, `OFF_HEAP`.
* `NONE`, `DISK_ONLY`, `DISK_ONLY_2`, `MEMORY_ONLY`, `MEMORY_ONLY_2`, `MEMORY_ONLY_SER`,
`MEMORY_ONLY_SER_2`, `MEMORY_AND_DISK`, `MEMORY_AND_DISK_2`, `MEMORY_AND_DISK_SER`,
`MEMORY_AND_DISK_SER_2`, `OFF_HEAP`.
* `keyFields` - *Optional*. List of columns that form a Primary Key or are used to identify row within a dataset.
Key fields are primarily used in error collection reports. For more details on error collection, see
[Metric Error Collection](../02-general-information/04-ErrorCollection.md) chapter.
Expand Down Expand Up @@ -130,9 +130,9 @@ In order to read data from Hive table it is required to provide following:
> partitions or an explicit list of partition values but not both.
* `persist` - *Optional*. One of the allowed Spark StorageLevels used to cache sources.
By default, sources are not cached. Supported Spark StorageLevels are:
* `NONE`, `DISK_ONLY`, `DISK_ONLY_2`, `MEMORY_ONLY`, `MEMORY_ONLY_2`, `MEMORY_ONLY_SER`,
`MEMORY_ONLY_SER_2`, `MEMORY_AND_DISK`, `MEMORY_AND_DISK_2`, `MEMORY_AND_DISK_SER`,
`MEMORY_AND_DISK_SER_2`, `OFF_HEAP`.
* `NONE`, `DISK_ONLY`, `DISK_ONLY_2`, `MEMORY_ONLY`, `MEMORY_ONLY_2`, `MEMORY_ONLY_SER`,
`MEMORY_ONLY_SER_2`, `MEMORY_AND_DISK`, `MEMORY_AND_DISK_2`, `MEMORY_AND_DISK_SER`,
`MEMORY_AND_DISK_SER_2`, `OFF_HEAP`.
* `keyFields` - *Optional*. List of columns that form a Primary Key or are used to identify row within a dataset.
Key fields are primarily used in error collection reports. For more details on error collection, see
[Metric Error Collection](../02-general-information/04-ErrorCollection.md) chapter.
Expand All @@ -157,9 +157,9 @@ supply following parameters:
* `query` - *Optional*. Query to execute. Query result is read as table source.
* `persist` - *Optional*. One of the allowed Spark StorageLevels used to cache sources.
By default, sources are not cached. Supported Spark StorageLevels are:
* `NONE`, `DISK_ONLY`, `DISK_ONLY_2`, `MEMORY_ONLY`, `MEMORY_ONLY_2`, `MEMORY_ONLY_SER`,
`MEMORY_ONLY_SER_2`, `MEMORY_AND_DISK`, `MEMORY_AND_DISK_2`, `MEMORY_AND_DISK_SER`,
`MEMORY_AND_DISK_SER_2`, `OFF_HEAP`.
* `NONE`, `DISK_ONLY`, `DISK_ONLY_2`, `MEMORY_ONLY`, `MEMORY_ONLY_2`, `MEMORY_ONLY_SER`,
`MEMORY_ONLY_SER_2`, `MEMORY_AND_DISK`, `MEMORY_AND_DISK_2`, `MEMORY_AND_DISK_SER`,
`MEMORY_AND_DISK_SER_2`, `OFF_HEAP`.
* `keyFields` - *Optional*. List of columns that form a Primary Key or are used to identify row within a dataset.
Key fields are primarily used in error collection reports. For more details on error collection, see
[Metric Error Collection](../02-general-information/04-ErrorCollection.md) chapter.
Expand Down Expand Up @@ -212,9 +212,9 @@ parameters:
For more information, see [Spark Kafka Integration Guide](https://spark.apache.org/docs/2.3.2/structured-streaming-kafka-integration.html).
* `persist` - *Optional*. One of the allowed Spark StorageLevels used to cache sources.
By default, sources are not cached. Supported Spark StorageLevels are:
* `NONE`, `DISK_ONLY`, `DISK_ONLY_2`, `MEMORY_ONLY`, `MEMORY_ONLY_2`, `MEMORY_ONLY_SER`,
`MEMORY_ONLY_SER_2`, `MEMORY_AND_DISK`, `MEMORY_AND_DISK_2`, `MEMORY_AND_DISK_SER`,
`MEMORY_AND_DISK_SER_2`, `OFF_HEAP`.
* `NONE`, `DISK_ONLY`, `DISK_ONLY_2`, `MEMORY_ONLY`, `MEMORY_ONLY_2`, `MEMORY_ONLY_SER`,
`MEMORY_ONLY_SER_2`, `MEMORY_AND_DISK`, `MEMORY_AND_DISK_2`, `MEMORY_AND_DISK_SER`,
`MEMORY_AND_DISK_SER_2`, `OFF_HEAP`.
* `keyFields` - *Optional*. List of columns that form a Primary Key or are used to identify row within a dataset.
Key fields are primarily used in error collection reports. For more details on error collection, see
[Metric Error Collection](../02-general-information/04-ErrorCollection.md) chapter.
Expand All @@ -240,9 +240,9 @@ In order to read data from Greenplum table using pivotal connector it is require
* `table` - *Optional*. Table to read.
* `persist` - *Optional*. One of the allowed Spark StorageLevels used to cache sources.
By default, sources are not cached. Supported Spark StorageLevels are:
* `NONE`, `DISK_ONLY`, `DISK_ONLY_2`, `MEMORY_ONLY`, `MEMORY_ONLY_2`, `MEMORY_ONLY_SER`,
`MEMORY_ONLY_SER_2`, `MEMORY_AND_DISK`, `MEMORY_AND_DISK_2`, `MEMORY_AND_DISK_SER`,
`MEMORY_AND_DISK_SER_2`, `OFF_HEAP`.
* `NONE`, `DISK_ONLY`, `DISK_ONLY_2`, `MEMORY_ONLY`, `MEMORY_ONLY_2`, `MEMORY_ONLY_SER`,
`MEMORY_ONLY_SER_2`, `MEMORY_AND_DISK`, `MEMORY_AND_DISK_2`, `MEMORY_AND_DISK_SER`,
`MEMORY_AND_DISK_SER_2`, `OFF_HEAP`.
* `keyFields` - *Optional*. List of columns that form a Primary Key or are used to identify row within a dataset.
Key fields are primarily used in error collection reports. For more details on error collection, see
[Metric Error Collection](../02-general-information/04-ErrorCollection.md) chapter.
Expand All @@ -263,9 +263,9 @@ provide following parameters:
* `options` - *Optional*. Additional Spark parameters used to read data from the given source.
* `persist` - *Optional*. One of the allowed Spark StorageLevels used to cache sources.
By default, sources are not cached. Supported Spark StorageLevels are:
* `NONE`, `DISK_ONLY`, `DISK_ONLY_2`, `MEMORY_ONLY`, `MEMORY_ONLY_2`, `MEMORY_ONLY_SER`,
`MEMORY_ONLY_SER_2`, `MEMORY_AND_DISK`, `MEMORY_AND_DISK_2`, `MEMORY_AND_DISK_SER`,
`MEMORY_AND_DISK_SER_2`, `OFF_HEAP`.
* `NONE`, `DISK_ONLY`, `DISK_ONLY_2`, `MEMORY_ONLY`, `MEMORY_ONLY_2`, `MEMORY_ONLY_SER`,
`MEMORY_ONLY_SER_2`, `MEMORY_AND_DISK`, `MEMORY_AND_DISK_2`, `MEMORY_AND_DISK_SER`,
`MEMORY_AND_DISK_SER_2`, `OFF_HEAP`.
* `keyFields` - *Optional*. List of columns that form a Primary Key or are used to identify row within a dataset.
Key fields are primarily used in error collection reports. For more details on error collection, see
[Metric Error Collection](../02-general-information/04-ErrorCollection.md) chapter.
Expand Down

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