distributed

问题 I have two Solr cores. Core0 imports data from a Oracle table called items. Each item has a unique id (item_id) and is either a video item or a audio item (item_type). Other fields contain searchable texts (description, comments etc) Core1 imports data from two tables (from a different database) called video_item_dates and audio_item_dates which record occurrence dates of an item in a specific market. The fields are item_id, item_market and dates. A single row would look like (item_001,

问题 My computations with dask.distributed include creation of intermediate files whose names include UUID4, that identify that chunk of work. pairs = '{}\n{}\n{}\n{}'.format(list1, list2, list3, ...) file_path = os.path.join(job_output_root, 'pairs', 'pairs-{}.txt'.format(str(uuid.uuid4()).replace('-', ''))) file(file_path, 'wt').writelines(pairs) In the same time, all tasks in the dask distributed cluster have unique keys. Therefore, it would be natural to use that key ID for file name. Is it

问题 My computations with dask.distributed include creation of intermediate files whose names include UUID4, that identify that chunk of work. pairs = '{}\n{}\n{}\n{}'.format(list1, list2, list3, ...) file_path = os.path.join(job_output_root, 'pairs', 'pairs-{}.txt'.format(str(uuid.uuid4()).replace('-', ''))) file(file_path, 'wt').writelines(pairs) In the same time, all tasks in the dask distributed cluster have unique keys. Therefore, it would be natural to use that key ID for file name. Is it

问题 My computations with dask.distributed include creation of intermediate files whose names include UUID4, that identify that chunk of work. pairs = '{}\n{}\n{}\n{}'.format(list1, list2, list3, ...) file_path = os.path.join(job_output_root, 'pairs', 'pairs-{}.txt'.format(str(uuid.uuid4()).replace('-', ''))) file(file_path, 'wt').writelines(pairs) In the same time, all tasks in the dask distributed cluster have unique keys. Therefore, it would be natural to use that key ID for file name. Is it

问题 My computations with dask.distributed include creation of intermediate files whose names include UUID4, that identify that chunk of work. pairs = '{}\n{}\n{}\n{}'.format(list1, list2, list3, ...) file_path = os.path.join(job_output_root, 'pairs', 'pairs-{}.txt'.format(str(uuid.uuid4()).replace('-', ''))) file(file_path, 'wt').writelines(pairs) In the same time, all tasks in the dask distributed cluster have unique keys. Therefore, it would be natural to use that key ID for file name. Is it

问题 No matter what I try, I can't get two different nodes to communicate. This is probably a very simple problem to solve. I have created the file .cookie.erlang and I've placed it into my home directory. Then I open a terminal window and type the following commands: erl -sname user1@pc erlang:set_cookie(node(),cookie). In another terminal window I type: erl -sname user2@pc erlang:set_cookie(node(),cookie). Now if I type the following command in the first terminal window: net_adm:ping(user2@pc).

问题 I'm facing the following challenge: I have a bunch of databases in different geographical locations where the network may fail a lot (I'm using cellular network). I need to keep all the databases synchronized but there is no need to be in real time. I'm using Java but I have the freedom to choose any free database. Any suggestions on how I can achieve this. Thanks. 回答1: I am not aware of any databases that will give you this functionality out of the box; there is a lot of complexity here due

问题 I am loading my pre-trained keras model and then trying to parallelize a large number of input data using dask? Unfortunately, I'm running into some issues with this relating to how I'm creating my dask array. Any guidance would be greatly appreciated! Setup: First I cloned from this repo https://github.com/sanchit2843/dlworkshop.git Reproducible Code Example: import numpy as np import pandas as pd from sklearn.preprocessing import StandardScaler, OneHotEncoder from sklearn.pipeline import

问题 I've been reading a lot about different strategies to guarantee consistency between nodes in distributed systems, but I'm having a bit of trouble figuring out when to use which algorithm. With what kind of system would I use something like a vector clock? Which system is ideal for using something like Paxos? Are the two mutually exclusive? 回答1: There's a distributed system of 2 nodes that store data. The data is replicated to both nodes so that if one node dies, the data is not lost

问题 I've been reading a lot about different strategies to guarantee consistency between nodes in distributed systems, but I'm having a bit of trouble figuring out when to use which algorithm. With what kind of system would I use something like a vector clock? Which system is ideal for using something like Paxos? Are the two mutually exclusive? 回答1: There's a distributed system of 2 nodes that store data. The data is replicated to both nodes so that if one node dies, the data is not lost