Export Journal To S3
qldb_export_journal_to_s3 | R Documentation |
Exports journal contents within a date and time range from a ledger into a specified Amazon Simple Storage Service (Amazon S3) bucket¶
Description¶
Exports journal contents within a date and time range from a ledger into a specified Amazon Simple Storage Service (Amazon S3) bucket. A journal export job can write the data objects in either the text or binary representation of Amazon Ion format, or in JSON Lines text format.
If the ledger with the given Name
doesn't exist, then throws
ResourceNotFoundException
.
If the ledger with the given Name
is in CREATING
status, then throws
ResourcePreconditionNotMetException
.
You can initiate up to two concurrent journal export requests for each
ledger. Beyond this limit, journal export requests throw
LimitExceededException
.
Usage¶
qldb_export_journal_to_s3(Name, InclusiveStartTime, ExclusiveEndTime,
S3ExportConfiguration, RoleArn, OutputFormat)
Arguments¶
Name |
[required] The name of the ledger. |
InclusiveStartTime |
[required] The inclusive start date and time for the range of journal contents to export. The The If you provide an |
ExclusiveEndTime |
[required] The exclusive end date and time for the range of journal contents to export. The The |
S3ExportConfiguration |
[required] The configuration settings of the Amazon S3 bucket destination for your export request. |
RoleArn |
[required] The Amazon Resource Name (ARN) of the IAM role that grants QLDB permissions for a journal export job to do the following:
To pass a role to QLDB when requesting a journal export, you must
have permissions to perform the |
OutputFormat |
The output format of your exported journal data. A journal export job can write the data objects in either the text or binary representation of Amazon Ion format, or in JSON Lines text format. Default: In JSON Lines format, each journal block in an exported data object is a valid JSON object that is delimited by a newline. You can use this format to directly integrate JSON exports with analytics tools such as Amazon Athena and Glue because these services can parse newline-delimited JSON automatically. |
Value¶
A list with the following syntax:
list(
ExportId = "string"
)
Request syntax¶
svc$export_journal_to_s3(
Name = "string",
InclusiveStartTime = as.POSIXct(
"2015-01-01"
),
ExclusiveEndTime = as.POSIXct(
"2015-01-01"
),
S3ExportConfiguration = list(
Bucket = "string",
Prefix = "string",
EncryptionConfiguration = list(
ObjectEncryptionType = "SSE_KMS"|"SSE_S3"|"NO_ENCRYPTION",
KmsKeyArn = "string"
)
),
RoleArn = "string",
OutputFormat = "ION_BINARY"|"ION_TEXT"|"JSON"
)