
package Paws::TimestreamWrite;
  use Moose;
  sub service { 'ingest.timestream' }
  sub signing_name { 'timestream' }
  sub version { '2018-11-01' }
  sub target_prefix { 'Timestream_20181101' }
  sub json_version { "1.0" }
  has max_attempts => (is => 'ro', isa => 'Int', default => 5);
  has retry => (is => 'ro', isa => 'HashRef', default => sub {
    { base => 'rand', type => 'exponential', growth_factor => 2 }
  });
  has retriables => (is => 'ro', isa => 'ArrayRef', default => sub { [
  ] });

  with 'Paws::API::Caller', 'Paws::API::EndpointResolver', 'Paws::Net::V4Signature', 'Paws::Net::JsonCaller';

  
  sub CreateDatabase {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::TimestreamWrite::CreateDatabase', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub CreateTable {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::TimestreamWrite::CreateTable', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub DeleteDatabase {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::TimestreamWrite::DeleteDatabase', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub DeleteTable {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::TimestreamWrite::DeleteTable', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub DescribeDatabase {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::TimestreamWrite::DescribeDatabase', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub DescribeEndpoints {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::TimestreamWrite::DescribeEndpoints', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub DescribeTable {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::TimestreamWrite::DescribeTable', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub ListDatabases {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::TimestreamWrite::ListDatabases', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub ListTables {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::TimestreamWrite::ListTables', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub ListTagsForResource {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::TimestreamWrite::ListTagsForResource', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub TagResource {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::TimestreamWrite::TagResource', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub UntagResource {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::TimestreamWrite::UntagResource', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub UpdateDatabase {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::TimestreamWrite::UpdateDatabase', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub UpdateTable {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::TimestreamWrite::UpdateTable', @_);
    return $self->caller->do_call($self, $call_object);
  }
  sub WriteRecords {
    my $self = shift;
    my $call_object = $self->new_with_coercions('Paws::TimestreamWrite::WriteRecords', @_);
    return $self->caller->do_call($self, $call_object);
  }
  

  sub operations { qw/CreateDatabase CreateTable DeleteDatabase DeleteTable DescribeDatabase DescribeEndpoints DescribeTable ListDatabases ListTables ListTagsForResource TagResource UntagResource UpdateDatabase UpdateTable WriteRecords / }

1;

### main pod documentation begin ###

=head1 NAME

Paws::TimestreamWrite - Perl Interface to AWS Amazon Timestream Write

=head1 SYNOPSIS

  use Paws;

  my $obj = Paws->service('TimestreamWrite');
  my $res = $obj->Method(
    Arg1 => $val1,
    Arg2 => [ 'V1', 'V2' ],
    # if Arg3 is an object, the HashRef will be used as arguments to the constructor
    # of the arguments type
    Arg3 => { Att1 => 'Val1' },
    # if Arg4 is an array of objects, the HashRefs will be passed as arguments to
    # the constructor of the arguments type
    Arg4 => [ { Att1 => 'Val1'  }, { Att1 => 'Val2' } ],
  );

=head1 DESCRIPTION

Amazon Timestream is a fast, scalable, fully managed time series
database service that makes it easy to store and analyze trillions of
time series data points per day. With Timestream, you can easily store
and analyze IoT sensor data to derive insights from your IoT
applications. You can analyze industrial telemetry to streamline
equipment management and maintenance. You can also store and analyze
log data and metrics to improve the performance and availability of
your applications. Timestream is built from the ground up to
effectively ingest, process, and store time series data. It organizes
data to optimize query processing. It automatically scales based on the
volume of data ingested and on the query volume to ensure you receive
optimal performance while inserting and querying data. As your data
grows over time, TimestreamE<rsquo>s adaptive query processing engine
spans across storage tiers to provide fast analysis while reducing
costs.

For the AWS API documentation, see L<https://docs.aws.amazon.com/goto/WebAPI/ingest.timestream-2018-11-01>


=head1 METHODS

=head2 CreateDatabase

=over

=item DatabaseName => Str

=item [KmsKeyId => Str]

=item [Tags => ArrayRef[L<Paws::TimestreamWrite::Tag>]]


=back

Each argument is described in detail in: L<Paws::TimestreamWrite::CreateDatabase>

Returns: a L<Paws::TimestreamWrite::CreateDatabaseResponse> instance

Creates a new Timestream database. If the KMS key is not specified, the
database will be encrypted with a Timestream managed KMS key located in
your account. Refer to AWS managed KMS keys
(https://docs.aws.amazon.com/kms/latest/developerguide/concepts.html#aws-managed-cmk)
for more info. Service quotas apply. For more information, see Access
Management
(https://docs.aws.amazon.com/timestream/latest/developerguide/ts-limits.html)
in the Timestream Developer Guide.


=head2 CreateTable

=over

=item DatabaseName => Str

=item TableName => Str

=item [RetentionProperties => L<Paws::TimestreamWrite::RetentionProperties>]

=item [Tags => ArrayRef[L<Paws::TimestreamWrite::Tag>]]


=back

Each argument is described in detail in: L<Paws::TimestreamWrite::CreateTable>

Returns: a L<Paws::TimestreamWrite::CreateTableResponse> instance

The CreateTable operation adds a new table to an existing database in
your account. In an AWS account, table names must be at least unique
within each Region if they are in the same database. You may have
identical table names in the same Region if the tables are in seperate
databases. While creating the table, you must specify the table name,
database name, and the retention properties. Service quotas apply. For
more information, see Access Management
(https://docs.aws.amazon.com/timestream/latest/developerguide/ts-limits.html)
in the Timestream Developer Guide.


=head2 DeleteDatabase

=over

=item DatabaseName => Str


=back

Each argument is described in detail in: L<Paws::TimestreamWrite::DeleteDatabase>

Returns: nothing

Deletes a given Timestream database. I<This is an irreversible
operation. After a database is deleted, the time series data from its
tables cannot be recovered.>

All tables in the database must be deleted first, or a
ValidationException error will be thrown.

Due to the nature of distributed retries, the operation can return
either success or a ResourceNotFoundException. Clients should consider
them equivalent.


=head2 DeleteTable

=over

=item DatabaseName => Str

=item TableName => Str


=back

Each argument is described in detail in: L<Paws::TimestreamWrite::DeleteTable>

Returns: nothing

Deletes a given Timestream table. This is an irreversible operation.
After a Timestream database table is deleted, the time series data
stored in the table cannot be recovered.

Due to the nature of distributed retries, the operation can return
either success or a ResourceNotFoundException. Clients should consider
them equivalent.


=head2 DescribeDatabase

=over

=item DatabaseName => Str


=back

Each argument is described in detail in: L<Paws::TimestreamWrite::DescribeDatabase>

Returns: a L<Paws::TimestreamWrite::DescribeDatabaseResponse> instance

Returns information about the database, including the database name,
time that the database was created, and the total number of tables
found within the database. Service quotas apply. For more information,
see Access Management
(https://docs.aws.amazon.com/timestream/latest/developerguide/ts-limits.html)
in the Timestream Developer Guide.


=head2 DescribeEndpoints


Each argument is described in detail in: L<Paws::TimestreamWrite::DescribeEndpoints>

Returns: a L<Paws::TimestreamWrite::DescribeEndpointsResponse> instance

DescribeEndpoints returns a list of available endpoints to make
Timestream API calls against. This API is available through both Write
and Query.

Because TimestreamE<rsquo>s SDKs are designed to transparently work
with the serviceE<rsquo>s architecture, including the management and
mapping of the service endpoints, I<it is not recommended that you use
this API unless>:

=over

=item *

Your application uses a programming language that does not yet have SDK
support

=item *

You require better control over the client-side implementation

=back

For detailed information on how to use DescribeEndpoints, see The
Endpoint Discovery Pattern and REST APIs
(https://docs.aws.amazon.com/timestream/latest/developerguide/Using-API.endpoint-discovery.html).


=head2 DescribeTable

=over

=item DatabaseName => Str

=item TableName => Str


=back

Each argument is described in detail in: L<Paws::TimestreamWrite::DescribeTable>

Returns: a L<Paws::TimestreamWrite::DescribeTableResponse> instance

Returns information about the table, including the table name, database
name, retention duration of the memory store and the magnetic store.
Service quotas apply. For more information, see Access Management
(https://docs.aws.amazon.com/timestream/latest/developerguide/ts-limits.html)
in the Timestream Developer Guide.


=head2 ListDatabases

=over

=item [MaxResults => Int]

=item [NextToken => Str]


=back

Each argument is described in detail in: L<Paws::TimestreamWrite::ListDatabases>

Returns: a L<Paws::TimestreamWrite::ListDatabasesResponse> instance

Returns a list of your Timestream databases. Service quotas apply. For
more information, see Access Management
(https://docs.aws.amazon.com/timestream/latest/developerguide/ts-limits.html)
in the Timestream Developer Guide.


=head2 ListTables

=over

=item [DatabaseName => Str]

=item [MaxResults => Int]

=item [NextToken => Str]


=back

Each argument is described in detail in: L<Paws::TimestreamWrite::ListTables>

Returns: a L<Paws::TimestreamWrite::ListTablesResponse> instance

A list of tables, along with the name, status and retention properties
of each table.


=head2 ListTagsForResource

=over

=item ResourceARN => Str


=back

Each argument is described in detail in: L<Paws::TimestreamWrite::ListTagsForResource>

Returns: a L<Paws::TimestreamWrite::ListTagsForResourceResponse> instance

List all tags on a Timestream resource.


=head2 TagResource

=over

=item ResourceARN => Str

=item Tags => ArrayRef[L<Paws::TimestreamWrite::Tag>]


=back

Each argument is described in detail in: L<Paws::TimestreamWrite::TagResource>

Returns: a L<Paws::TimestreamWrite::TagResourceResponse> instance

Associate a set of tags with a Timestream resource. You can then
activate these user-defined tags so that they appear on the Billing and
Cost Management console for cost allocation tracking.


=head2 UntagResource

=over

=item ResourceARN => Str

=item TagKeys => ArrayRef[Str|Undef]


=back

Each argument is described in detail in: L<Paws::TimestreamWrite::UntagResource>

Returns: a L<Paws::TimestreamWrite::UntagResourceResponse> instance

Removes the association of tags from a Timestream resource.


=head2 UpdateDatabase

=over

=item DatabaseName => Str

=item KmsKeyId => Str


=back

Each argument is described in detail in: L<Paws::TimestreamWrite::UpdateDatabase>

Returns: a L<Paws::TimestreamWrite::UpdateDatabaseResponse> instance

Modifies the KMS key for an existing database. While updating the
database, you must specify the database name and the identifier of the
new KMS key to be used (C<KmsKeyId>). If there are any concurrent
C<UpdateDatabase> requests, first writer wins.


=head2 UpdateTable

=over

=item DatabaseName => Str

=item RetentionProperties => L<Paws::TimestreamWrite::RetentionProperties>

=item TableName => Str


=back

Each argument is described in detail in: L<Paws::TimestreamWrite::UpdateTable>

Returns: a L<Paws::TimestreamWrite::UpdateTableResponse> instance

Modifies the retention duration of the memory store and magnetic store
for your Timestream table. Note that the change in retention duration
takes effect immediately. For example, if the retention period of the
memory store was initially set to 2 hours and then changed to 24 hours,
the memory store will be capable of holding 24 hours of data, but will
be populated with 24 hours of data 22 hours after this change was made.
Timestream does not retrieve data from the magnetic store to populate
the memory store.

Service quotas apply. For more information, see Access Management
(https://docs.aws.amazon.com/timestream/latest/developerguide/ts-limits.html)
in the Timestream Developer Guide.


=head2 WriteRecords

=over

=item DatabaseName => Str

=item Records => ArrayRef[L<Paws::TimestreamWrite::Record>]

=item TableName => Str

=item [CommonAttributes => L<Paws::TimestreamWrite::Record>]


=back

Each argument is described in detail in: L<Paws::TimestreamWrite::WriteRecords>

Returns: nothing

The WriteRecords operation enables you to write your time series data
into Timestream. You can specify a single data point or a batch of data
points to be inserted into the system. Timestream offers you with a
flexible schema that auto detects the column names and data types for
your Timestream tables based on the dimension names and data types of
the data points you specify when invoking writes into the database.
Timestream support eventual consistency read semantics. This means that
when you query data immediately after writing a batch of data into
Timestream, the query results might not reflect the results of a
recently completed write operation. The results may also include some
stale data. If you repeat the query request after a short time, the
results should return the latest data. Service quotas apply. For more
information, see Access Management
(https://docs.aws.amazon.com/timestream/latest/developerguide/ts-limits.html)
in the Timestream Developer Guide.


=head1 PAGINATORS

Paginator methods are helpers that repetively call methods that return partial results


=head1 SEE ALSO

This service class forms part of L<Paws>

=head1 BUGS and CONTRIBUTIONS

The source code is located here: L<https://github.com/pplu/aws-sdk-perl>

Please report bugs to: L<https://github.com/pplu/aws-sdk-perl/issues>

=cut