You are viewing documentation for version 2 of the AWS SDK for Ruby. Version 3 documentation can be found here.
Class: Aws::DatabaseMigrationService::Types::S3SettingsWhen passing S3Settings as input to an Aws::Client method, you can use a vanilla Hash:
{
service_access_role_arn: "String",
external_table_definition: "String",
csv_row_delimiter: "String",
csv_delimiter: "String",
bucket_folder: "String",
bucket_name: "String",
compression_type: "none", encryption_mode: "sse-s3", server_side_encryption_kms_key_id: "String",
data_format: "csv", encoding_type: "plain", dict_page_size_limit: 1,
row_group_length: 1,
data_page_size: 1,
parquet_version: "parquet-1-0", enable_statistics: false,
include_op_for_full_load: false,
cdc_inserts_only: false,
timestamp_column_name: "String",
parquet_timestamp_in_millisecond: false,
cdc_inserts_and_updates: false,
date_partition_enabled: false,
date_partition_sequence: "YYYYMMDD", date_partition_delimiter: "SLASH", }
Settings for exporting data to Amazon S3.
Returned by:
Instance Attribute Summary collapseAn optional parameter to set a folder name in the S3 bucket.
The name of the S3 bucket.
A value that enables a change data capture (CDC) load to write INSERT and UPDATE operations to .csv or .parquet (columnar storage) output files.
A value that enables a change data capture (CDC) load to write only INSERT operations to .csv or columnar storage (.parquet) output files.
An optional parameter to use GZIP to compress the target files.
The delimiter used to separate columns in the .csv file for both source and target.
The delimiter used to separate rows in the .csv file for both source and target.
The format of the data that you want to use for output.
The size of one data page in bytes.
Specifies a date separating delimiter to use during folder partitioning.
When set to true, this parameter partitions S3 bucket folders based on transaction commit dates.
Identifies the sequence of the date format to use during folder partitioning.
The maximum size of an encoded dictionary page of a column.
A value that enables statistics for Parquet pages and row groups.
The type of encoding you are using:.
The type of server-side encryption that you want to use for your data.
Specifies how tables are defined in the S3 source files only.
A value that enables a full load to write INSERT operations to the comma-separated value (.csv) output files only to indicate how the rows were added to the source database.
A value that specifies the precision of any TIMESTAMP column values that are written to an Amazon S3 object file in .parquet format.
The version of the Apache Parquet format that you want to use: parquet_1_0 (the default) or parquet_2_0.
The number of rows in a row group.
If you are using SSE_KMS for the EncryptionMode, provide the AWS KMS key ID.
The Amazon Resource Name (ARN) used by the service access IAM role.
A value that when nonblank causes AWS DMS to add a column with timestamp information to the endpoint data for an Amazon S3 target.
An optional parameter to set a folder name in the S3 bucket. If provided, tables are created in the path bucketFolder/schema_name/table_name/. If this parameter isn\'t specified, then the path used is schema_name/table_name/.
The name of the S3 bucket.
#cdc_inserts_and_updates ⇒ BooleanA value that enables a change data capture (CDC) load to write INSERT and UPDATE operations to .csv or .parquet (columnar storage) output files. The default setting is false, but when CdcInsertsAndUpdates is set to true or y, only INSERTs and UPDATEs from the source database are migrated to the .csv or .parquet file.
For .csv file format only, how these INSERTs and UPDATEs are recorded depends on the value of the IncludeOpForFullLoad parameter. If IncludeOpForFullLoad is set to true, the first field of every CDC record is set to either I or U to indicate INSERT and UPDATE operations at the source. But if IncludeOpForFullLoad is set to false, CDC records are written without an indication of INSERT or UPDATE operations at the source. For more information about how these settings work together, see Indicating Source DB Operations in Migrated S3 Data in the AWS Database Migration Service User Guide..
AWS DMS supports the use of the CdcInsertsAndUpdates parameter in versions 3.3.1 and later.
CdcInsertsOnly and CdcInsertsAndUpdates can\'t both be set to true for the same endpoint. Set either CdcInsertsOnly or CdcInsertsAndUpdates to true for the same endpoint, but not both.
A value that enables a change data capture (CDC) load to write only INSERT operations to .csv or columnar storage (.parquet) output files. By default (the false setting), the first field in a .csv or .parquet record contains the letter I (INSERT), U (UPDATE), or D (DELETE). These values indicate whether the row was inserted, updated, or deleted at the source database for a CDC load to the target.
If CdcInsertsOnly is set to true or y, only INSERTs from the source database are migrated to the .csv or .parquet file. For .csv format only, how these INSERTs are recorded depends on the value of IncludeOpForFullLoad. If IncludeOpForFullLoad is set to true, the first field of every CDC record is set to I to indicate the INSERT operation at the source. If IncludeOpForFullLoad is set to false, every CDC record is written without a first field to indicate the INSERT operation at the source. For more information about how these settings work together, see Indicating Source DB Operations in Migrated S3 Data in the AWS Database Migration Service User Guide..
AWS DMS supports the interaction described preceding between the CdcInsertsOnly and IncludeOpForFullLoad parameters in versions 3.1.4 and later.
CdcInsertsOnly and CdcInsertsAndUpdates can\'t both be set to true for the same endpoint. Set either CdcInsertsOnly or CdcInsertsAndUpdates to true for the same endpoint, but not both.
An optional parameter to use GZIP to compress the target files. Set to GZIP to compress the target files. Either set this parameter to NONE (the default) or don\'t use it to leave the files uncompressed. This parameter applies to both .csv and .parquet file formats.
Possible values:
The delimiter used to separate columns in the .csv file for both source and target. The default is a comma.
#csv_row_delimiter ⇒ StringThe delimiter used to separate rows in the .csv file for both source and target. The default is a carriage return (\n).
The format of the data that you want to use for output. You can choose one of the following:
csv: This is a row-based file format with comma-separated values (.csv).
parquet: Apache Parquet (.parquet) is a columnar storage file format that features efficient compression and provides faster query response.
Possible values:
The size of one data page in bytes. This parameter defaults to 1024 * 1024 bytes (1 MiB). This number is used for .parquet file format only.
#date_partition_delimiter ⇒ StringSpecifies a date separating delimiter to use during folder partitioning. The default value is SLASH. Use this parameter when DatePartitionedEnabled is set to true.
Possible values:
When set to true, this parameter partitions S3 bucket folders based on transaction commit dates. The default value is false. For more information about date-based folder partitoning, see Using date-based folder partitioning.
Identifies the sequence of the date format to use during folder partitioning. The default value is YYYYMMDD. Use this parameter when DatePartitionedEnabled is set to true.
Possible values:
The maximum size of an encoded dictionary page of a column. If the dictionary page exceeds this, this column is stored using an encoding type of PLAIN. This parameter defaults to 1024 * 1024 bytes (1 MiB), the maximum size of a dictionary page before it reverts to PLAIN encoding. This size is used for .parquet file format only.
A value that enables statistics for Parquet pages and row groups. Choose true to enable statistics, false to disable. Statistics include NULL, DISTINCT, MAX, and MIN values. This parameter defaults to true. This value is used for .parquet file format only.
The type of encoding you are using:
RLE_DICTIONARY uses a combination of bit-packing and run-length encoding to store repeated values more efficiently. This is the default.
PLAIN doesn\'t use encoding at all. Values are stored as they are.
PLAIN_DICTIONARY builds a dictionary of the values encountered in a given column. The dictionary is stored in a dictionary page for each column chunk.
Possible values:
The type of server-side encryption that you want to use for your data. This encryption type is part of the endpoint settings or the extra connections attributes for Amazon S3. You can choose either SSE_S3 (the default) or SSE_KMS.
For the ModifyEndpoint operation, you can change the existing value of the EncryptionMode parameter from SSE_KMS to SSE_S3. But you canât change the existing value from SSE_S3 to SSE_KMS.
To use SSE_S3, you need an AWS Identity and Access Management (IAM) role with permission to allow "arn:aws:s3:::dms-*" to use the following actions:
s3:CreateBucket
s3:ListBucket
s3:DeleteBucket
s3:GetBucketLocation
s3:GetObject
s3:PutObject
s3:DeleteObject
s3:GetObjectVersion
s3:GetBucketPolicy
s3:PutBucketPolicy
s3:DeleteBucketPolicy
Possible values:
Specifies how tables are defined in the S3 source files only.
#include_op_for_full_load ⇒ BooleanA value that enables a full load to write INSERT operations to the comma-separated value (.csv) output files only to indicate how the rows were added to the source database.
AWS DMS supports the IncludeOpForFullLoad parameter in versions 3.1.4 and later.
For full load, records can only be inserted. By default (the false setting), no information is recorded in these output files for a full load to indicate that the rows were inserted at the source database. If IncludeOpForFullLoad is set to true or y, the INSERT is recorded as an I annotation in the first field of the .csv file. This allows the format of your target records from a full load to be consistent with the target records from a CDC load.
This setting works together with the CdcInsertsOnly and the CdcInsertsAndUpdates parameters for output to .csv files only. For more information about how these settings work together, see Indicating Source DB Operations in Migrated S3 Data in the AWS Database Migration Service User Guide..
A value that specifies the precision of any TIMESTAMP column values that are written to an Amazon S3 object file in .parquet format.
AWS DMS supports the ParquetTimestampInMillisecond parameter in versions 3.1.4 and later.
When ParquetTimestampInMillisecond is set to true or y, AWS DMS writes all TIMESTAMP columns in a .parquet formatted file with millisecond precision. Otherwise, DMS writes them with microsecond precision.
Currently, Amazon Athena and AWS Glue can handle only millisecond precision for TIMESTAMP values. Set this parameter to true for S3 endpoint object files that are .parquet formatted only if you plan to query or process the data with Athena or AWS Glue.
AWS DMS writes any TIMESTAMP column values written to an S3 file in .csv format with microsecond precision.
Setting ParquetTimestampInMillisecond has no effect on the string format of the timestamp column value that is inserted by setting the TimestampColumnName parameter.
The version of the Apache Parquet format that you want to use: parquet_1_0 (the default) or parquet_2_0.
Possible values:
The number of rows in a row group. A smaller row group size provides faster reads. But as the number of row groups grows, the slower writes become. This parameter defaults to 10,000 rows. This number is used for .parquet file format only.
If you choose a value larger than the maximum, RowGroupLength is set to the max row group length in bytes (64 * 1024 * 1024).
If you are using SSE_KMS for the EncryptionMode, provide the AWS KMS key ID. The key that you use needs an attached policy that enables AWS Identity and Access Management (IAM) user permissions and allows use of the key.
Here is a CLI example: aws dms create-endpoint --endpoint-identifier value --endpoint-type target --engine-name s3 --s3-settings ServiceAccessRoleArn=value,BucketFolder=value,BucketName=value,EncryptionMode=SSE_KMS,ServerSideEncryptionKmsKeyId=value
The Amazon Resource Name (ARN) used by the service access IAM role. It is a required parameter that enables DMS to write and read objects from an 3S bucket.
#timestamp_column_name ⇒ StringA value that when nonblank causes AWS DMS to add a column with timestamp information to the endpoint data for an Amazon S3 target.
AWS DMS supports the TimestampColumnName parameter in versions 3.1.4 and later.
DMS includes an additional STRING column in the .csv or .parquet object files of your migrated data when you set TimestampColumnName to a nonblank value.
For a full load, each row of this timestamp column contains a timestamp for when the data was transferred from the source to the target by DMS.
For a change data capture (CDC) load, each row of the timestamp column contains the timestamp for the commit of that row in the source database.
The string format for this timestamp column value is yyyy-MM-dd HH:mm:ss.SSSSSS. By default, the precision of this value is in microseconds. For a CDC load, the rounding of the precision depends on the commit timestamp supported by DMS for the source database.
When the AddColumnName parameter is set to true, DMS also includes a name for the timestamp column that you set with TimestampColumnName.
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