bplustree | An on-disk Btree for Python | Database library
kandi X-RAY | bplustree Summary
kandi X-RAY | bplustree Summary
An on-disk B+tree for Python 3
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Top functions reviewed by kandi - BETA
- Insert a key into the tree .
- Get the metadata for the page .
- Opens a file in the given directory .
- Iterates through all of the outstanding pages and yields them .
- Return a new Node instance from the given data .
- Slice an iterable .
- Insert an entry .
- Read data from a file .
- Write data to file .
- Combine two iterables .
bplustree Key Features
bplustree Examples and Code Snippets
Community Discussions
Trending Discussions on bplustree
QUESTION
I've been trying to integrate ignite and spark. The goal of my application is to write and read spark dataframes to/from ignite. However, I'm facing several issues with larger datasets (> 200 000 000 rows).
I have a 6-node Ignite cluster running on YARN. It has 160Gb of memory and 12 cores. I am trying to save the dataframe using spark (around 20Gb of raw text data) in an Ignite cache (partitioned 1 backup):
...ANSWER
Answered 2018-Dec-10 at 17:44First, the Spark-Ignite connector already connects in client mode.
I'm going to assume that you have enough memory, but you can follow the example in the Capacity Planning guide to be sure.
However, I think the problem is that you're following the sample application a bit too closely(!). The sample -- so as to be self-contained -- includes both a server and a Spark client. If you already have an Ignite cluster, you don't need to start a server in your Spark client.
This is a slightly hacked down example from a real application (in Java, sorry):
QUESTION
I have 2 ignite client(2 IDEA project running in one laptop) + 2 ignite server(2 linux vm)
when i try to send some request to get info from ignite cache, it dumps with bellow exceptions:
...ANSWER
Answered 2018-Apr-22 at 03:54You should not do a synchronous put()
within the EntryProcessor
. Processor is already invoked within a lock, so this can cause a deadlock and/or thread starvation.
If you need to update the processed entry, use MutableEntry#setValue(..)
.
QUESTION
Ignite logs have starvation waringings and stop to provide service:
...ANSWER
Answered 2018-Jun-12 at 14:11Striped pool used for processing of the Ignite messages. Looks like for some reason all the threads from this pool is waiting for some operation (remove from cache in your log). It could be related to network problems or removing takes a lot of time (for example you are going to remove all the data).
Could you please attach the thread dump and your test code for investigation?
QUESTION
I am trying to update the depth column of bplustree table using this statement,which works fine on MYSQL,but on oracle I have this error:
...ANSWER
Answered 2018-Jan-07 at 21:50You may combine update
and select
by the help of merge
like the following statement :
QUESTION
I have below code which compiles perfectly fine with maven but Intellij keeps on giving me error saying Inconvertible types can not cast 'K' to java.lang.Long
.
ANSWER
Answered 2017-Oct-05 at 15:51Comparable
is a bit weird when dealing with generics. I believe the correct definition is below:
QUESTION
this is my last attempt to configure Apache Ignite 2.0 to work with Cassandra as persistence layer and ODBC as query layer.
ODBC configuration is ok, I am able to put and get data in the cache with sql, but when I plug in Cassandra (version 3.9 via docker image) as persistence layer I get this:
...ANSWER
Answered 2017-Jun-28 at 15:04Please try to turn on isStoreKeepBinary
in cache settings - like this; please note the last line:
QUESTION
I am currently in the process of coding my B+ Tree and this is the structure of my code for reference so that my proceeding question makes more sense:
...ANSWER
Answered 2017-Feb-18 at 08:04Adding the insert()
in the Node class isn't bad at all. If it does look weird to you when BPlusTree::insert()
calls Node::insert()
please don't be there are quite some advantages to this style of code.
My answer could be opinion based.
With the Node::insert()
node is much more complete and is a full fledged class on its own. The Node
class can be used by many other classes that you might make in the future. So you won't have to write the insert()
function again and again.
Modularity is exactly what the above paragraph means. Your code becomes much more modular this way.
I'm not against friending the BPlusTree
class but the thing is that the day you make BPlusTreeImproved
or anything that uses Node
you'll have to friend that as well to use the Node
. Which means constant pain of changing and recompiling Node
.
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Install bplustree
You can use bplustree like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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