Mercurial > repos > shellac > guppy_basecaller
annotate env/lib/python3.7/site-packages/boto/dynamodb/layer1.py @ 3:758bc20232e8 draft
"planemo upload commit 2a0fe2cc28b09e101d37293e53e82f61762262ec"
author | shellac |
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date | Thu, 14 May 2020 16:20:52 -0400 |
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1 # Copyright (c) 2012 Mitch Garnaat http://garnaat.org/ |
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2 # Copyright (c) 2012 Amazon.com, Inc. or its affiliates. All Rights Reserved |
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3 # |
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4 # Permission is hereby granted, free of charge, to any person obtaining a |
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5 # copy of this software and associated documentation files (the |
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6 # "Software"), to deal in the Software without restriction, including |
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7 # without limitation the rights to use, copy, modify, merge, publish, dis- |
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8 # tribute, sublicense, and/or sell copies of the Software, and to permit |
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9 # persons to whom the Software is furnished to do so, subject to the fol- |
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10 # lowing conditions: |
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11 # |
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12 # The above copyright notice and this permission notice shall be included |
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13 # in all copies or substantial portions of the Software. |
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14 # |
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15 # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS |
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16 # OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL- |
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17 # ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT |
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18 # SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, |
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19 # WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
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20 # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS |
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21 # IN THE SOFTWARE. |
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22 # |
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23 import time |
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24 from binascii import crc32 |
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25 |
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26 import boto |
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27 from boto.connection import AWSAuthConnection |
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28 from boto.exception import DynamoDBResponseError |
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29 from boto.provider import Provider |
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30 from boto.dynamodb import exceptions as dynamodb_exceptions |
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31 from boto.compat import json |
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32 |
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33 |
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34 class Layer1(AWSAuthConnection): |
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35 """ |
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36 This is the lowest-level interface to DynamoDB. Methods at this |
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37 layer map directly to API requests and parameters to the methods |
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38 are either simple, scalar values or they are the Python equivalent |
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39 of the JSON input as defined in the DynamoDB Developer's Guide. |
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40 All responses are direct decoding of the JSON response bodies to |
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41 Python data structures via the json or simplejson modules. |
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42 |
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43 :ivar throughput_exceeded_events: An integer variable that |
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44 keeps a running total of the number of ThroughputExceeded |
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45 responses this connection has received from Amazon DynamoDB. |
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46 """ |
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47 |
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48 DefaultRegionName = 'us-east-1' |
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49 """The default region name for DynamoDB API.""" |
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50 |
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51 ServiceName = 'DynamoDB' |
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52 """The name of the Service""" |
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53 |
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54 Version = '20111205' |
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55 """DynamoDB API version.""" |
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56 |
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57 ThruputError = "ProvisionedThroughputExceededException" |
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58 """The error response returned when provisioned throughput is exceeded""" |
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59 |
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60 SessionExpiredError = 'com.amazon.coral.service#ExpiredTokenException' |
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61 """The error response returned when session token has expired""" |
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62 |
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63 ConditionalCheckFailedError = 'ConditionalCheckFailedException' |
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64 """The error response returned when a conditional check fails""" |
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65 |
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66 ValidationError = 'ValidationException' |
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67 """The error response returned when an item is invalid in some way""" |
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68 |
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69 ResponseError = DynamoDBResponseError |
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70 |
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71 NumberRetries = 10 |
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72 """The number of times an error is retried.""" |
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73 |
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74 def __init__(self, aws_access_key_id=None, aws_secret_access_key=None, |
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75 is_secure=True, port=None, proxy=None, proxy_port=None, |
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76 debug=0, security_token=None, region=None, |
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77 validate_certs=True, validate_checksums=True, profile_name=None): |
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78 if not region: |
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79 region_name = boto.config.get('DynamoDB', 'region', |
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80 self.DefaultRegionName) |
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81 for reg in boto.dynamodb.regions(): |
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82 if reg.name == region_name: |
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83 region = reg |
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84 break |
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85 |
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86 self.region = region |
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87 super(Layer1, self).__init__(self.region.endpoint, |
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88 aws_access_key_id, |
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89 aws_secret_access_key, |
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90 is_secure, port, proxy, proxy_port, |
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91 debug=debug, security_token=security_token, |
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92 validate_certs=validate_certs, |
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93 profile_name=profile_name) |
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94 self.throughput_exceeded_events = 0 |
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95 self._validate_checksums = boto.config.getbool( |
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96 'DynamoDB', 'validate_checksums', validate_checksums) |
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97 |
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98 def _get_session_token(self): |
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99 self.provider = Provider(self._provider_type) |
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100 self._auth_handler.update_provider(self.provider) |
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101 |
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102 def _required_auth_capability(self): |
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103 return ['hmac-v4'] |
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104 |
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105 def make_request(self, action, body='', object_hook=None): |
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106 """ |
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107 :raises: ``DynamoDBExpiredTokenError`` if the security token expires. |
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108 """ |
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109 headers = {'X-Amz-Target': '%s_%s.%s' % (self.ServiceName, |
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110 self.Version, action), |
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111 'Host': self.region.endpoint, |
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112 'Content-Type': 'application/x-amz-json-1.0', |
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113 'Content-Length': str(len(body))} |
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114 http_request = self.build_base_http_request('POST', '/', '/', |
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115 {}, headers, body, None) |
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116 start = time.time() |
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117 response = self._mexe(http_request, sender=None, |
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118 override_num_retries=self.NumberRetries, |
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119 retry_handler=self._retry_handler) |
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120 elapsed = (time.time() - start) * 1000 |
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121 request_id = response.getheader('x-amzn-RequestId') |
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122 boto.log.debug('RequestId: %s' % request_id) |
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123 boto.perflog.debug('%s: id=%s time=%sms', |
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124 headers['X-Amz-Target'], request_id, int(elapsed)) |
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125 response_body = response.read().decode('utf-8') |
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126 boto.log.debug(response_body) |
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127 return json.loads(response_body, object_hook=object_hook) |
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128 |
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129 def _retry_handler(self, response, i, next_sleep): |
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130 status = None |
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131 if response.status == 400: |
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132 response_body = response.read().decode('utf-8') |
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133 boto.log.debug(response_body) |
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134 data = json.loads(response_body) |
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135 if self.ThruputError in data.get('__type'): |
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136 self.throughput_exceeded_events += 1 |
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137 msg = "%s, retry attempt %s" % (self.ThruputError, i) |
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138 next_sleep = self._exponential_time(i) |
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139 i += 1 |
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140 status = (msg, i, next_sleep) |
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141 if i == self.NumberRetries: |
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142 # If this was our last retry attempt, raise |
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143 # a specific error saying that the throughput |
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144 # was exceeded. |
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145 raise dynamodb_exceptions.DynamoDBThroughputExceededError( |
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146 response.status, response.reason, data) |
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147 elif self.SessionExpiredError in data.get('__type'): |
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148 msg = 'Renewing Session Token' |
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149 self._get_session_token() |
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150 status = (msg, i + self.num_retries - 1, 0) |
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151 elif self.ConditionalCheckFailedError in data.get('__type'): |
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152 raise dynamodb_exceptions.DynamoDBConditionalCheckFailedError( |
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153 response.status, response.reason, data) |
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154 elif self.ValidationError in data.get('__type'): |
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155 raise dynamodb_exceptions.DynamoDBValidationError( |
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156 response.status, response.reason, data) |
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157 else: |
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158 raise self.ResponseError(response.status, response.reason, |
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159 data) |
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160 expected_crc32 = response.getheader('x-amz-crc32') |
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161 if self._validate_checksums and expected_crc32 is not None: |
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162 boto.log.debug('Validating crc32 checksum for body: %s', |
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163 response.read().decode('utf-8')) |
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164 actual_crc32 = crc32(response.read()) & 0xffffffff |
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165 expected_crc32 = int(expected_crc32) |
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166 if actual_crc32 != expected_crc32: |
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167 msg = ("The calculated checksum %s did not match the expected " |
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168 "checksum %s" % (actual_crc32, expected_crc32)) |
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169 status = (msg, i + 1, self._exponential_time(i)) |
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170 return status |
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171 |
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172 def _exponential_time(self, i): |
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173 if i == 0: |
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174 next_sleep = 0 |
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175 else: |
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176 next_sleep = min(0.05 * (2 ** i), |
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177 boto.config.get('Boto', 'max_retry_delay', 60)) |
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178 return next_sleep |
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179 |
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180 def list_tables(self, limit=None, start_table=None): |
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181 """ |
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182 Returns a dictionary of results. The dictionary contains |
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183 a **TableNames** key whose value is a list of the table names. |
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184 The dictionary could also contain a **LastEvaluatedTableName** |
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185 key whose value would be the last table name returned if |
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186 the complete list of table names was not returned. This |
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187 value would then be passed as the ``start_table`` parameter on |
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188 a subsequent call to this method. |
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189 |
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190 :type limit: int |
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191 :param limit: The maximum number of tables to return. |
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192 |
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193 :type start_table: str |
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194 :param start_table: The name of the table that starts the |
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195 list. If you ran a previous list_tables and not |
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196 all results were returned, the response dict would |
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197 include a LastEvaluatedTableName attribute. Use |
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198 that value here to continue the listing. |
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199 """ |
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200 data = {} |
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201 if limit: |
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202 data['Limit'] = limit |
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203 if start_table: |
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204 data['ExclusiveStartTableName'] = start_table |
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205 json_input = json.dumps(data) |
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206 return self.make_request('ListTables', json_input) |
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207 |
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208 def describe_table(self, table_name): |
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209 """ |
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210 Returns information about the table including current |
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211 state of the table, primary key schema and when the |
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212 table was created. |
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213 |
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214 :type table_name: str |
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215 :param table_name: The name of the table to describe. |
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216 """ |
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217 data = {'TableName': table_name} |
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218 json_input = json.dumps(data) |
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219 return self.make_request('DescribeTable', json_input) |
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220 |
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221 def create_table(self, table_name, schema, provisioned_throughput): |
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222 """ |
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223 Add a new table to your account. The table name must be unique |
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224 among those associated with the account issuing the request. |
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225 This request triggers an asynchronous workflow to begin creating |
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226 the table. When the workflow is complete, the state of the |
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227 table will be ACTIVE. |
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228 |
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229 :type table_name: str |
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230 :param table_name: The name of the table to create. |
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231 |
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232 :type schema: dict |
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233 :param schema: A Python version of the KeySchema data structure |
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234 as defined by DynamoDB |
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235 |
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236 :type provisioned_throughput: dict |
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237 :param provisioned_throughput: A Python version of the |
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238 ProvisionedThroughput data structure defined by |
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239 DynamoDB. |
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240 """ |
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241 data = {'TableName': table_name, |
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242 'KeySchema': schema, |
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243 'ProvisionedThroughput': provisioned_throughput} |
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244 json_input = json.dumps(data) |
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245 response_dict = self.make_request('CreateTable', json_input) |
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246 return response_dict |
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247 |
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248 def update_table(self, table_name, provisioned_throughput): |
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249 """ |
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250 Updates the provisioned throughput for a given table. |
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251 |
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252 :type table_name: str |
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253 :param table_name: The name of the table to update. |
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254 |
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255 :type provisioned_throughput: dict |
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256 :param provisioned_throughput: A Python version of the |
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257 ProvisionedThroughput data structure defined by |
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258 DynamoDB. |
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259 """ |
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260 data = {'TableName': table_name, |
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261 'ProvisionedThroughput': provisioned_throughput} |
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262 json_input = json.dumps(data) |
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263 return self.make_request('UpdateTable', json_input) |
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264 |
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265 def delete_table(self, table_name): |
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266 """ |
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267 Deletes the table and all of it's data. After this request |
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268 the table will be in the DELETING state until DynamoDB |
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269 completes the delete operation. |
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270 |
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271 :type table_name: str |
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272 :param table_name: The name of the table to delete. |
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273 """ |
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274 data = {'TableName': table_name} |
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275 json_input = json.dumps(data) |
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276 return self.make_request('DeleteTable', json_input) |
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277 |
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278 def get_item(self, table_name, key, attributes_to_get=None, |
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279 consistent_read=False, object_hook=None): |
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280 """ |
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281 Return a set of attributes for an item that matches |
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282 the supplied key. |
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283 |
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284 :type table_name: str |
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285 :param table_name: The name of the table containing the item. |
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286 |
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287 :type key: dict |
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288 :param key: A Python version of the Key data structure |
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289 defined by DynamoDB. |
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290 |
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291 :type attributes_to_get: list |
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292 :param attributes_to_get: A list of attribute names. |
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293 If supplied, only the specified attribute names will |
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294 be returned. Otherwise, all attributes will be returned. |
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295 |
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296 :type consistent_read: bool |
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297 :param consistent_read: If True, a consistent read |
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298 request is issued. Otherwise, an eventually consistent |
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299 request is issued. |
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300 """ |
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301 data = {'TableName': table_name, |
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302 'Key': key} |
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303 if attributes_to_get: |
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304 data['AttributesToGet'] = attributes_to_get |
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305 if consistent_read: |
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306 data['ConsistentRead'] = True |
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307 json_input = json.dumps(data) |
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308 response = self.make_request('GetItem', json_input, |
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309 object_hook=object_hook) |
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310 if 'Item' not in response: |
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311 raise dynamodb_exceptions.DynamoDBKeyNotFoundError( |
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312 "Key does not exist." |
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313 ) |
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314 return response |
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315 |
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316 def batch_get_item(self, request_items, object_hook=None): |
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317 """ |
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318 Return a set of attributes for a multiple items in |
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319 multiple tables using their primary keys. |
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320 |
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321 :type request_items: dict |
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322 :param request_items: A Python version of the RequestItems |
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323 data structure defined by DynamoDB. |
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324 """ |
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325 # If the list is empty, return empty response |
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326 if not request_items: |
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327 return {} |
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328 data = {'RequestItems': request_items} |
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329 json_input = json.dumps(data) |
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330 return self.make_request('BatchGetItem', json_input, |
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331 object_hook=object_hook) |
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332 |
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333 def batch_write_item(self, request_items, object_hook=None): |
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334 """ |
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335 This operation enables you to put or delete several items |
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336 across multiple tables in a single API call. |
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337 |
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338 :type request_items: dict |
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339 :param request_items: A Python version of the RequestItems |
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340 data structure defined by DynamoDB. |
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341 """ |
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342 data = {'RequestItems': request_items} |
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343 json_input = json.dumps(data) |
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344 return self.make_request('BatchWriteItem', json_input, |
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345 object_hook=object_hook) |
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346 |
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347 def put_item(self, table_name, item, |
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348 expected=None, return_values=None, |
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349 object_hook=None): |
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350 """ |
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351 Create a new item or replace an old item with a new |
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352 item (including all attributes). If an item already |
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353 exists in the specified table with the same primary |
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354 key, the new item will completely replace the old item. |
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355 You can perform a conditional put by specifying an |
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356 expected rule. |
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357 |
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358 :type table_name: str |
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359 :param table_name: The name of the table in which to put the item. |
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360 |
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361 :type item: dict |
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362 :param item: A Python version of the Item data structure |
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363 defined by DynamoDB. |
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364 |
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365 :type expected: dict |
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366 :param expected: A Python version of the Expected |
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367 data structure defined by DynamoDB. |
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368 |
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369 :type return_values: str |
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370 :param return_values: Controls the return of attribute |
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371 name-value pairs before then were changed. Possible |
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372 values are: None or 'ALL_OLD'. If 'ALL_OLD' is |
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373 specified and the item is overwritten, the content |
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374 of the old item is returned. |
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375 """ |
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376 data = {'TableName': table_name, |
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377 'Item': item} |
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378 if expected: |
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379 data['Expected'] = expected |
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380 if return_values: |
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381 data['ReturnValues'] = return_values |
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382 json_input = json.dumps(data) |
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383 return self.make_request('PutItem', json_input, |
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384 object_hook=object_hook) |
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385 |
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386 def update_item(self, table_name, key, attribute_updates, |
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387 expected=None, return_values=None, |
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388 object_hook=None): |
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389 """ |
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390 Edits an existing item's attributes. You can perform a conditional |
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391 update (insert a new attribute name-value pair if it doesn't exist, |
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392 or replace an existing name-value pair if it has certain expected |
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393 attribute values). |
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394 |
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395 :type table_name: str |
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396 :param table_name: The name of the table. |
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397 |
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398 :type key: dict |
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399 :param key: A Python version of the Key data structure |
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400 defined by DynamoDB which identifies the item to be updated. |
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401 |
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402 :type attribute_updates: dict |
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403 :param attribute_updates: A Python version of the AttributeUpdates |
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404 data structure defined by DynamoDB. |
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405 |
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406 :type expected: dict |
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407 :param expected: A Python version of the Expected |
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408 data structure defined by DynamoDB. |
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409 |
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410 :type return_values: str |
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411 :param return_values: Controls the return of attribute |
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412 name-value pairs before then were changed. Possible |
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413 values are: None or 'ALL_OLD'. If 'ALL_OLD' is |
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414 specified and the item is overwritten, the content |
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415 of the old item is returned. |
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416 """ |
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417 data = {'TableName': table_name, |
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418 'Key': key, |
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419 'AttributeUpdates': attribute_updates} |
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420 if expected: |
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421 data['Expected'] = expected |
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422 if return_values: |
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423 data['ReturnValues'] = return_values |
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424 json_input = json.dumps(data) |
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425 return self.make_request('UpdateItem', json_input, |
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426 object_hook=object_hook) |
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427 |
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428 def delete_item(self, table_name, key, |
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429 expected=None, return_values=None, |
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430 object_hook=None): |
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431 """ |
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432 Delete an item and all of it's attributes by primary key. |
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433 You can perform a conditional delete by specifying an |
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434 expected rule. |
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435 |
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436 :type table_name: str |
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437 :param table_name: The name of the table containing the item. |
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438 |
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439 :type key: dict |
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440 :param key: A Python version of the Key data structure |
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441 defined by DynamoDB. |
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442 |
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443 :type expected: dict |
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444 :param expected: A Python version of the Expected |
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445 data structure defined by DynamoDB. |
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446 |
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447 :type return_values: str |
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448 :param return_values: Controls the return of attribute |
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449 name-value pairs before then were changed. Possible |
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450 values are: None or 'ALL_OLD'. If 'ALL_OLD' is |
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451 specified and the item is overwritten, the content |
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452 of the old item is returned. |
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453 """ |
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454 data = {'TableName': table_name, |
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455 'Key': key} |
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456 if expected: |
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457 data['Expected'] = expected |
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458 if return_values: |
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459 data['ReturnValues'] = return_values |
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460 json_input = json.dumps(data) |
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461 return self.make_request('DeleteItem', json_input, |
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462 object_hook=object_hook) |
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463 |
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464 def query(self, table_name, hash_key_value, range_key_conditions=None, |
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465 attributes_to_get=None, limit=None, consistent_read=False, |
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466 scan_index_forward=True, exclusive_start_key=None, |
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467 object_hook=None, count=False): |
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468 """ |
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469 Perform a query of DynamoDB. This version is currently punting |
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470 and expecting you to provide a full and correct JSON body |
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471 which is passed as is to DynamoDB. |
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472 |
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473 :type table_name: str |
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474 :param table_name: The name of the table to query. |
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475 |
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476 :type hash_key_value: dict |
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477 :param key: A DynamoDB-style HashKeyValue. |
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478 |
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479 :type range_key_conditions: dict |
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480 :param range_key_conditions: A Python version of the |
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481 RangeKeyConditions data structure. |
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482 |
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483 :type attributes_to_get: list |
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484 :param attributes_to_get: A list of attribute names. |
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485 If supplied, only the specified attribute names will |
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486 be returned. Otherwise, all attributes will be returned. |
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487 |
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488 :type limit: int |
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489 :param limit: The maximum number of items to return. |
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490 |
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491 :type count: bool |
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492 :param count: If True, Amazon DynamoDB returns a total |
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493 number of items for the Query operation, even if the |
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494 operation has no matching items for the assigned filter. |
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495 |
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496 :type consistent_read: bool |
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497 :param consistent_read: If True, a consistent read |
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498 request is issued. Otherwise, an eventually consistent |
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499 request is issued. |
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500 |
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501 :type scan_index_forward: bool |
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502 :param scan_index_forward: Specified forward or backward |
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503 traversal of the index. Default is forward (True). |
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504 |
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505 :type exclusive_start_key: list or tuple |
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506 :param exclusive_start_key: Primary key of the item from |
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507 which to continue an earlier query. This would be |
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508 provided as the LastEvaluatedKey in that query. |
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509 """ |
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510 data = {'TableName': table_name, |
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511 'HashKeyValue': hash_key_value} |
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512 if range_key_conditions: |
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513 data['RangeKeyCondition'] = range_key_conditions |
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514 if attributes_to_get: |
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515 data['AttributesToGet'] = attributes_to_get |
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516 if limit: |
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517 data['Limit'] = limit |
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518 if count: |
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519 data['Count'] = True |
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520 if consistent_read: |
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521 data['ConsistentRead'] = True |
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522 if scan_index_forward: |
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523 data['ScanIndexForward'] = True |
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524 else: |
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525 data['ScanIndexForward'] = False |
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526 if exclusive_start_key: |
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527 data['ExclusiveStartKey'] = exclusive_start_key |
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528 json_input = json.dumps(data) |
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529 return self.make_request('Query', json_input, |
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530 object_hook=object_hook) |
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531 |
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532 def scan(self, table_name, scan_filter=None, |
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533 attributes_to_get=None, limit=None, |
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534 exclusive_start_key=None, object_hook=None, count=False): |
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535 """ |
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536 Perform a scan of DynamoDB. This version is currently punting |
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537 and expecting you to provide a full and correct JSON body |
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538 which is passed as is to DynamoDB. |
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539 |
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540 :type table_name: str |
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541 :param table_name: The name of the table to scan. |
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542 |
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543 :type scan_filter: dict |
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544 :param scan_filter: A Python version of the |
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545 ScanFilter data structure. |
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546 |
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547 :type attributes_to_get: list |
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548 :param attributes_to_get: A list of attribute names. |
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549 If supplied, only the specified attribute names will |
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550 be returned. Otherwise, all attributes will be returned. |
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551 |
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552 :type limit: int |
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553 :param limit: The maximum number of items to evaluate. |
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554 |
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555 :type count: bool |
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556 :param count: If True, Amazon DynamoDB returns a total |
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557 number of items for the Scan operation, even if the |
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558 operation has no matching items for the assigned filter. |
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559 |
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560 :type exclusive_start_key: list or tuple |
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561 :param exclusive_start_key: Primary key of the item from |
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562 which to continue an earlier query. This would be |
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563 provided as the LastEvaluatedKey in that query. |
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564 """ |
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565 data = {'TableName': table_name} |
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566 if scan_filter: |
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567 data['ScanFilter'] = scan_filter |
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568 if attributes_to_get: |
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569 data['AttributesToGet'] = attributes_to_get |
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570 if limit: |
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571 data['Limit'] = limit |
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572 if count: |
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573 data['Count'] = True |
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574 if exclusive_start_key: |
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575 data['ExclusiveStartKey'] = exclusive_start_key |
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576 json_input = json.dumps(data) |
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577 return self.make_request('Scan', json_input, object_hook=object_hook) |