prefetch

问题 I'm working on a C++ application with Oracle as database and trying to fetch thousands of records with CLOB datatype. Been searching the net on how to prefetch a CLOB datatype in OCCI but always see this "Prefetching is not in effect if LONG, LOB or Opaque Type columns (such as XMLType) are part of the query." Is there a way in OCCI in order to prefetch CLOB or are there other alternative solutions to improve the time spent to fetch CLOB data? Thanks for the help. 回答1: There is a way to do

问题 I'm working on a C++ application with Oracle as database and trying to fetch thousands of records with CLOB datatype. Been searching the net on how to prefetch a CLOB datatype in OCCI but always see this "Prefetching is not in effect if LONG, LOB or Opaque Type columns (such as XMLType) are part of the query." Is there a way in OCCI in order to prefetch CLOB or are there other alternative solutions to improve the time spent to fetch CLOB data? Thanks for the help. 回答1: There is a way to do

问题 The answer What are _mm_prefetch() locality hints? goes into details on what the hint means. My question is: which one do I WANT ? I work on a function that is called repeatedly, billions of times, with some int parameter among others. First thing I do is to look up some cached value using that parameter (its low 32 bits) as a key into 4GB cache. Based on the algorithm from where this function is called, I know that most often that key will be doubled (shifted left by 1 bit) from one call to

问题 The answer What are _mm_prefetch() locality hints? goes into details on what the hint means. My question is: which one do I WANT ? I work on a function that is called repeatedly, billions of times, with some int parameter among others. First thing I do is to look up some cached value using that parameter (its low 32 bits) as a key into 4GB cache. Based on the algorithm from where this function is called, I know that most often that key will be doubled (shifted left by 1 bit) from one call to

问题 The answer What are _mm_prefetch() locality hints? goes into details on what the hint means. My question is: which one do I WANT ? I work on a function that is called repeatedly, billions of times, with some int parameter among others. First thing I do is to look up some cached value using that parameter (its low 32 bits) as a key into 4GB cache. Based on the algorithm from where this function is called, I know that most often that key will be doubled (shifted left by 1 bit) from one call to

问题 The answer What are _mm_prefetch() locality hints? goes into details on what the hint means. My question is: which one do I WANT ? I work on a function that is called repeatedly, billions of times, with some int parameter among others. First thing I do is to look up some cached value using that parameter (its low 32 bits) as a key into 4GB cache. Based on the algorithm from where this function is called, I know that most often that key will be doubled (shifted left by 1 bit) from one call to

问题 I am still learning tensorflow and keras, and I suspect this question has a very easy answer I'm just missing due to lack of familiarity. I have a PrefetchDataset object: > print(tf_test) $ <PrefetchDataset shapes: ((None, 99), (None,)), types: (tf.float32, tf.int64)> ...made up of features and a target. I can iterate over it using a for loop: > for example in tf_test: > print(example[0].numpy()) > print(example[1].numpy()) > exit() $ [[-0.31 -0.94 -1.12 ... 0.18 -0.27] [-0.22 -0.54 -0.14 ...

问题 I have a simple one-to-many relationship in Django, for example: class Team(models.Model): team_mascot = models.CharField( max_length=200, null=True) class Player(models.Model): first_name = models.CharField(max_length=200, null=True) last_name = models.CharField(max_length=200, null=True) team = models.ForeignKey( 'players.Team', blank=True, null=True, on_delete=models.SET_NULL, related_name='players', related_query_name='player', ) On the Player admin page(s), I want to display some

来源： https://stackoverflow.com/questions/59228816/what-do-the-tensorflow-datasets-functions-cache-and-prefetch-do

问题 I'm experiencing some severe performances issues with prefetch_related on a Model with 5 m2m fields and I'm pre-fetching also few nested m2m fields. class TaskModelManager(models.Manager): def get_queryset(self): return super(TaskModelManager, self).get_queryset().exclude(internalStatus=2).prefetch_related("parent", "takes", "takes__flags", "assignedUser", "assignedUser__flags", "asset", "asset__flags", "status", "approvalWorkflow", "viewers", "requires", "linkedTasks", "activities") class