Google App Engine - Search API index growth -


i know how can estimate growth (how size increasez in period of time) of index of app engine search api (fts) based on number of entities inserted , amount of information. know how index size calculated (on depend). specifically:

  1. when inserting new entities, growth (size) influenced number of previous existing entities? (ie. growth exponential)? ex. if have 1000 entities , insert 10, index grow x bytes. if have 100000 entities , insert 10, increase x or more x (exponentially, let' 10*x) ?
  2. does number of fields (properties) influences size exponentially? ex. if have entity 2 fields , entity b 4 fields (let's identical in values, mathematical simplicity) size increase, when adding entity b, twice of entity or more that?
  3. what other means can use find statistical information; have other tools in cloud console of app engine, or can programmatically ?

thank you.

you can check size of given index running code below.

from google.appengine.api import search  index in search.get_indexes(fetch_schema=true):     logging.info("index %s", index.storage_usage) # pseudo code amount_of_items_to_add = 100 x = 0 x <= amount_of_items_to_add:     search_api_insert_insert(data)     x+=1 #rerun loop see how size increased index in search.get_indexes(fetch_schema=true):     logging.info("index %s", index.storage_usage)

this code not complete working example, should able build simple method takes data inserts search api , returns how used storage increased.


-

Comments

Post a Comment

Popular posts from this blog

serialization - Convert Any type in scala to Array[Byte] and back -

i have following question: i have variable value in program declared value. i want convert value byte array.. how can serialize byte array , back? found examples related other types such double or int, not any. this should need. it's pretty similar how 1 in java. import java.io.{bytearrayinputstream, bytearrayoutputstream, objectinputstream, objectoutputstream} object serialization extends app { def serialise(value: any): array[byte] = { val stream: bytearrayoutputstream = new bytearrayoutputstream() val oos = new objectoutputstream(stream) oos.writeobject(value) oos.close stream.tobytearray } def deserialise(bytes: array[byte]): = { val ois = new objectinputstream(new bytearrayinputstream(bytes)) val value = ois.readobject ois.close value } println(deserialise(serialise("my test"))) println(deserialise(serialise(list(1)))) println(deserialise(serialise(map(1 -> 2)))) println(deserialise(seri
Read more

matplotlib support failed in PyCharm on OSX -

any idea how fix ? how can debug might problem ? not seem : https://youtrack.jetbrains.com/issue/py-15520 i in console: python 2.6.9 (unknown, jul 14 2015, 19:46:31) [gcc 4.2.1 compatible apple llvm 6.0 (clang-600.0.39)] on darwin >>> import matplotlib.pyplot plt matplotlib support failed the backend : >>> import matplotlib >>> print(matplotlib.rcparams['backend']) macosx
Read more

python - Matplotlib: TypeError: 'AxesSubplot' object is not callable -

i new programming please pardon me if rookie mistake. i writing python script have defined functions create subplots of distributions. i have slider widget end user change value of variables(mu , sigma) , see effect on distribution. here's code import numpy np print np.__version__ import scipy print scipy.__version__ scipy.stats import norm, lognorm, uniform import matplotlib print matplotlib.__version__ import matplotlib.pyplot plt matplotlib.widgets import slider, button, radiobuttons, checkbuttons #####calculating mean , standard deviation##### global mu_a1 mu_a1 = 1 global mu_b1 mu_b1 = 10 global mu_c1 mu_c1 = -13 global sigma_a1 sigma_a1 = 0.14 global sigma_b1 sigma_b1 = 1.16 global sigma_c1 sigma_c1 = 2.87 mu_x01 = -11 sigma_x01 = 1.9 #####_____##### #####generating random data##### a1 = 0.75*mu_a1 + (1.25 - 0.75)*sigma_a1*np.random.sample(10000) b1 = 8*mu_b1 + (12 - 8)*sigma_b1*np.random.sample(10000) c1 = -12*mu_c1 + 2*sigma_c1*np.random.sample(10000)
Read more