Hypertable is an open source project based on published best practices and our own experience in solving large-scale data-intensive tasks. Our goal is nothing. Modeled after Bigtable. ➢ Implemented in C++. ➢ Project Started in March ➢ Runs on top of HDFS. ➢ Thrift Interface for all popular languages. ○ Java. hypertable> create namespace “Tutorial”;. hypertable> use Tutorial;. create table. hypertable> CREATE TABLE QueryLogByUserID (Query.
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The following example illustrates how to pass a timestamp predicate into a Hadoop Streaming MapReduce program.
To populate the word column of the wikipedia table by tokenizing the article column using the above mapper and reduce script, issue the following command:.
The row key is formulated by zero-padding hyypertable UserID field out to nine digits and concatenating the QueryTime field. Hypertable contains support for secondary indices. The scripts and data files for these examples can be in the archive secondary-indices.
Traditional SQL databases offer auto-incrementing columns, but an auto-incrementing column would be relatively slow to implement in a distributed database. Like the example in the previous section, the programs operate on a table called wikipedia that has been loaded with a Wikipedia dump. Select the title column of all rows that contain an info: This function can also be used through the Thrift interface.
This table includes the timestamp as the row key prefix which allows us to efficiently query data over a time interval. The following options are supported:.
Here’s a PHP snippet from the microblogging example. Suppose you want a subset of the URLs from the domain inria. Hypertable’s support for unique cells is therefore a bit different. Heres a small sample from the dataset:.
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Select the title and info: Hypertable will detect that there are new servers available with plenty of spare capacity and will automatically migrate ranges from the overloaded machines onto the new ones. Distributed filesystems such as HDFS can typically handle a small number of sync operations per second. This range migration process has the effect of balancing load across the entire cluster and opening up additional capacity.
In this example, we’ll be running the WikipediaWordCount program which is included in the hypertable-examples.
You cannot mix-and-match the hypeftable. Unique cells can be used whenever an application wants to make sure that there can never be more than one cell value in a column family.
Otherwise the cell already existed with a different value. Now load the compressed Wikipedia dump file directly into the wikipedia table by tutodial the following HQL commands:. This document describes how to create a table with secondary indices and how to forulate queries that leverage these indices. This file includes an initial header line indicating the format of each line in the file by listing tab delimited column names.
The hypertablee can be supplied by the application at insert time, or can be auto-generated default.
These processes manage ranges of table data and run on all slave server machines in the cluster. Hypertable is a high performance, open source, massively scalable database modeled after Bigtable, Google’s proprietary, massively scalable database. Adding more capacity is a simple matter of adding new commodity class servers and starting RangeServer processes on the new machines.
Then create a scanner, fetch the cell and hypetable that it was written correctly.
Exit the hypertable shell and download the dataset, which is in the. Hypertable ships with a jar file, hypertable. Tutoriwl tutorial shows you how to import a search engine query log into Hypertable, storing the data into tables with different primary keys, and how to issue queries against the tables.
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Can be a host specification pattern in which case one of the matching hosts will be chosen at random. Under high concurrency, step 2 can become a bottleneck.
Hypertable extends the tutodial two-dimensional table model by adding a third dimension: The remainder of this section assumes a CDH4 installation, change command lines accordingly for your distribution.
Value indices index column value data and qualifier indices index column qualifier data.