partitioning

How to write an image containing multiple partitions to a USB flash drive on Windows using C++

亡梦爱人 提交于 2019-11-29 15:18:20
问题 On Windows, you can only see the first partition on removable media. I want to write a C++ program that can write an image containing an MBR and 2 partitions of data to the USB flash drive. I don't need the 2nd partition to be viewable in Windows- I just need to be able to write this raw image to the USB flash drive from Windows/C++ such that later, when run on Linux, the 2 partitions can be seen. I have read about installing a filter driver that would end up treating the removable media as

Partitioning! how does hadoop make it? Use a hash function? what is the default function?

倖福魔咒の 提交于 2019-11-29 14:41:08
问题 Partitioning is the process of determining which reducer instance will receive which intermediate keys and values. Each mapper must determine for all of its output (key, value) pairs which reducer will receive them. It is necessary that for any key, regardless of which mapper instance generated it, the destination partition is the same Problem: How does hadoop make it? Use a hash function? what is the default function? 回答1: The default partitioner in Hadoop is the HashPartitioner which has a

How to handle id generation on a hadoop cluster?

风流意气都作罢 提交于 2019-11-29 12:25:11
I am building a dictionary on a hadoop cluster and need to generate a numeric id for each token. How should I do it? You have two problems. First you want to make sure that you assign exactly one id for each token. To do that you should sort and group records by token and make the assignment in a reducer. Once you've made sure that the reducer method is called exactly once for each token you can use the partition number from the context and a unique numeric id maintained by the reducer (one instance per partition) - just use an instance variable initialized to 1 in the setup method and

How to create a PostgreSQL partitioned sequence?

…衆ロ難τιáo~ 提交于 2019-11-29 11:04:59
Is there a simple (ie. non-hacky) and race-condition free way to create a partitioned sequence in PostgreSQL. Example: Using a normal sequence in Issue: | Project_ID | Issue | | 1 | 1 | | 1 | 2 | | 2 | 3 | | 2 | 4 | Using a partitioned sequence in Issue: | Project_ID | Issue | | 1 | 1 | | 1 | 2 | | 2 | 1 | | 2 | 2 | I do not believe there is a simple way that is as easy as regular sequences, because: A sequence stores only one number stream (next value, etc.). You want one for each partition. Sequences have special handling that bypasses the current transaction (to avoid the race condition).

Partition Hive table by existing field?

有些话、适合烂在心里 提交于 2019-11-29 11:04:21
Can I partition a Hive table upon insert by an existing field? I have a 10 GB file with a date field and an hour of day field. Can I load this file into a table, then insert-overwrite into another partitioned table that uses those fields as a partition? Would something like the following work? INSERT OVERWRITE TABLE tealeaf_event PARTITION(dt=evt.datestring,hour=evt.hour) SELECT * FROM staging_event evt; Thanks! Travis I just ran across this trying to answer the same question and it was helpful but not quite complete. The short answer is yes, something like the query in the question will work

Partition data for efficient joining for Spark dataframe/dataset

房东的猫 提交于 2019-11-29 10:35:39
问题 I need to join many DataFrames together based on some shared key columns. For a key-value RDD, one can specify a partitioner so that data points with same key are shuffled to same executor so joining is more efficient (if one has shuffle related operations before the join ). Can the same thing can be done on Spark DataFrames or DataSets? 回答1: You can repartition a DataFrame after loading it if you know you'll be joining it multiple times val users = spark.read.load("/path/to/users")

MySQL Proxy Alternatives for Database Sharding

夙愿已清 提交于 2019-11-29 10:26:15
问题 Are there any alternatives for MySQL Proxy. I don't want to use it since it's still in alpha. I will have 10 MySQL servers with table_1 table_2 table_3 table_4 ... table_10 spread across the 10 servers. Each table is identical in their structure, their just shards with different data sets. Is there a alternative to MySQL Proxy, where I can have my client application connect to a single SQL Server (A proxy), which looks at the query and fetches the data on behalf of it. For example, if the

How to handle foreign key while partitioning

主宰稳场 提交于 2019-11-29 08:41:02
I am working on fleet management. I am having large amount of writes on a location table with following columns date time vehicle no. long latitude speed userid (which is foreign key...) Here this table is going to have write operation every 3 sec. Hence there will be millions of record in it. So to retrieve faster data I AM PLANNING Partition. Now my question:- How to handle foreign key? I heard that partition does not support foreign key Which column should be used for partition. is it necessary to have unique key as a partition column. There will be trillions of record @rc-Thanks man..what

SQL Error: ORA-14006: invalid partition name

雨燕双飞 提交于 2019-11-29 05:20:19
I am trying to partition an existing table in Oracle 12C R1 using below SQL statement. ALTER TABLE TABLE_NAME MODIFY PARTITION BY RANGE (DATE_COLUMN_NAME) INTERVAL (NUMTOYMINTERVAL(1,'MONTH')) ( PARTITION part_01 VALUES LESS THAN (TO_DATE('01-SEP-2017', 'DD-MON-RRRR')) ) ONLINE; Getting error: Error report - SQL Error: ORA-14006: invalid partition name 14006. 00000 - "invalid partition name" *Cause: a partition name of the form <identifier> is expected but not present. *Action: enter an appropriate partition name. Partition needs to be done on the basis of data datatype column with the

mysql database automatic partitioning

半世苍凉 提交于 2019-11-29 02:27:04
问题 I have a mysql database table that I want to partition by date, particularly by month & year. However, when new data is added for a new month, I don't want to need to manually update the database. When I initially create my database, I have data in Nov 09, Dec 09, Jan 10, etc. Now when February starts, I'd like a Feb 10 partition automatically created. Is this possible? 回答1: There are a few solutions out there, if you want a total solution, check this post out on kickingtyres. It's a basic