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REDSHIFT VACUUM UPDATE
REDSHIFT VACUUM FULL

This results in an increase in table storage space and degraded performance due to otherwise avoidable disk IO during scans. This causes the rows to continue consuming disk space and those blocks are scanned when a query scans the table. In Redshift, when rows are DELETED or UPDATED against a table they are simply logically deleted (flagged for deletion), not physically removed from disk.

REDSHIFT VACUUM FULL

Execute only: Performs full execution of the Snap during Pipeline execution without generating preview data.ĭisabled: Disables the Snap and all Snaps that are downstream from it.

Subsequently, performs full execution of the Snap (unlimited records) during Pipeline runtime.

Validate & Execute : Performs limited execution of the Snap, and generates a data preview during Pipeline validation.

Select one of the three modes in which the Snap executes. DELIMITER cannot be used with FIXEDWIDTH. The default delimiter is a pipe character ( | ), unless the CSV parameter is used, in which case the default delimiter is a comma (, ). ASCII characters can also be represented in octal, using the format '\ddd', where 'd' is an octal digit (0–7). Non-printing ASCII characters are supported. The single ASCII character that is used to separate fields in the input file, such as a pipe character ( | ), a comma (, ), or a tab ( \t ).

Treats the specified number of rows as file headers and does not load them. The format in which the provided S3 files are compressed in. Null values are loaded as null regardless. Otherwise, empty string values in the input documents are loaded as null. If selected, empty string values in the input documents are loaded as empty strings to the string-type fields. Truncate column values which are larger than the maximum column length in the table. By default, the load stops on the first error.Įxample: 10 (if you want the pipeline execution to continue as far as the number of failed records is less than 10) A maximum number of rows which can fail before the bulk load operation is stopped. Invalid UTF-8 characters are replaced with a question mark when loading.

REDSHIFT VACUUM UPDATE

Update table statistics after data load by performing an analyze operation on the table.Īccept invalid characters in the input. If the S3 Folder property is left blank, the staging file will be stored in the bucket. See Redshift Account for informa tion on setting up this type of account. The S3 Folder property may be used for the staging file. This Snap uses account references created on the Accounts page of SnapLogic Manager to handle access to this endpoint. The S3 Bucket, S3 Access-key ID, and S3 Secret key properties are required for the Redshift- S3 Upsert Snap. Please note this feature is supported in the EC2-type Groundplex only. Jcc.jvm_options = -DIAM_CREDENTIAL_FOR_S3=TRUE To enable this feature, the following line should be added to global.properties and the jcc (node) restarted: The IAM credential stored in the EC2 metadata is used to gain access rights to the S3 buckets. The 'IAM_CREDENTIAL_FOR_S3' feature is used to access S3 files from EC2 Groundplex, without Access-key ID and Secret key in the AWS S3 account in the Snap.

The Redshift account security settings does need to allow access from the IP Address of the cloudplex or groundplex.

The Redshift account does need to specify the S3 Access-key ID, S3 Secret key, S3 Bucket, and S3 Folder.

The Redshift account does need to specify the Endpoint, Database name, Username, and Password.

Ultra Pipelines: Works in Ultra Pipelines.

Output: A document that contains the result providing the number of documents being inserted/ updated/ failed. Input: This Snap can have an upstream Snap that can pass values required for expression fields. The Redshift S3 Upsert Snap loads the data from the given list of s3 files using the COPY command and inserts the data if not already in the the redshift table using INSERT ALL query or update if it exists. Refer to AWS Amazon documentation for more information. An update operation is then run to update existing records in the target table and/or an insert operation is run to insert new records into the target table. A temporary table is created on Redshift with the contents of the staging file. This Snap directly upserts (inserts or updates) data from a file (source) on a specified Amazon S3 location to the target Redshift table.