lasasskate.blogg.se - Otocheck security key

#OTOCHECK SECURITY KEY ARCHIVE#
#OTOCHECK SECURITY KEY SERIES#

DynamoDB creates and maintains indexes for the primary key attributes for efficient access of data in the table, which allows applications to quickly retrieve data by specifying primary key values.Local secondary index – an index that has the same partition key as the base table, but a different sort key.Global secondary index – an index with a partition key and a sort key that can be different from those on the base table.DynamoDB Secondary indexes supports two types.Items will only appear in an index if they exist in the table on which the index is defined, making queries an index very efficient are automatically maintained as sparse objects.helps reduce the size of the data as compared to the main table, depending upon the project attributes and hence helps improve provisioned throughput performance.any addition, modification, or deletion of items in the base table, any indexes on that table are also updated to reflect these changes.is automatically maintained by DynamoDB.additionally can define projected attributes which are copied from the base table into the index along with the primary key attributes.requires an alternate key for the index partition key and sort key.is associated with exactly one table, from which it obtains its data.is a data structure that contains a subset of attributes from a table.DynamoDB Secondary indexes on a table allow efficient access to data with attributes other than the primary key.DynamoDB provides fast access to items in a table by specifying primary key values.

#OTOCHECK SECURITY KEY ARCHIVE#

Archive or delete the tables whose contents are rarely or never needed. Reduce the provisioned read capacity of earlier tables as they age.

As soon as a table is no longer being written to, reduce its provisioned write capacity to a lower value (for example, 1 WCU), and provision whatever read capacity is appropriate.

Assign names to the tables that specify the periods they have recorded. Just as the current period ends, direct event traffic to the new table.

Before the end of each period, prebuild the table for the next period.

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Use table per day, week, month etc for storing time series data – create one table per period, provisioned with the required read and write capacity and the required indexes.

It then filters out values to provide the result, essentially adding the extra step of removing data from the result set. A Scan operation always scans the entire table or secondary index.

Avoid scans and filters – Scan operations are less efficient than other operations in DynamoDB.

Store metadata in DynamoDB and large BLOBs or attributes in S3.

Split large attributes across multiple items.

Use shorter (yet intuitive!) attribute names.

DynamoDB currently limits the size of each item that is stored in a table.

Indexes that are seldom used contribute to increased storage and I/O costs without improving application performance.

Keep the number of indexes to a minimum – don’t create secondary indexes on attributes that aren’t queried often.

Project fewer attributes – As secondary indexes consume storage and provisioned throughput, keep the size of the index as small as possible.

Can be used for eventually consistent read replicas – set up a global secondary index that has the same key schema as the parent table, with some or all of the non-key attributes projected into it.

Use GSIs for finer control over throughput or when your application needs to query using a different partition key.

Watch for expanding item collections (10 GB size limit!).

Use primary key or LSIs when strong consistency is desired.

Use indexes based on when the application’s query patterns.

Choose sort key depending on the application’s needs.

Consider all possible query patterns to eliminate use of scans and filters.

Store hot and cold data in separate tables.

Distribute reads / writes uniformly across partitions to avoid hot partitions.

Partition key should have many unique values.

Avoid hot keys and hot partitions – a partition key design that doesn’t distribute I/O requests evenly can create “hot” partitions that result in throttling and use the provisioned I/O capacity inefficiently.Partition key portion of a table’s primary key determines the logical partitions in which a table’s data is stored, which in turn affects the underlying physical partitions.Primary key uniquely identifies each item in a DynamoDB table and can be simple (a partition key only) or composite (a partition key combined with a sort key).AWS DynamoDB Best Practices Primary Key Design