Hadoop, Hbase and Hive- Bay area Hadoop User Group

Hive/HBase Integration or, MaybeSQL? April 2010 John Sichi Facebook +

Agenda
Use Cases
Architecture
Storage Handler
Load via INSERT
Query Processing
Bulk Load
Q & A
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Motivations
Data, data, and more data
200 GB/day in March 2008 -> 12+ TB/day at the end of 2009
About 8x increase per year
Queries, queries, and more queries
More than 200 unique users querying per day
7500+ queries on production cluster per day; mixture of ad-hoc queries and ETL/reporting queries
They want it all and they want it now
Users expect faster response time on fresher data
Sampled subsets aren’t always good enough
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How Can HBase Help?
Replicate dimension tables from transactional databases with low latency and without sharding
(Fact data can stay in Hive since it is append-only)
Only move changed rows
“ Full scrape” is too slow and doesn’t scale as data keeps growing
Hive by itself is not good at row-level operations
Integrate into Hive’s map/reduce query execution plans for full parallel distributed processing
Multiversioning for snapshot consistency?
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Use Case 1: HBase As ETL Data Target Facebook HBase Hive INSERT … SELECT … Source Files/Tables

Use Case 2: HBase As Data Source Facebook HBase Other Files/Tables Hive SELECT … JOIN … GROUP BY … Query Result

Use Case 3: Low Latency Warehouse Facebook HBase Other Files/Tables Periodic Load Continuous Update Hive Queries

HBase Architecture Facebook From http://www.larsgeorge.com/2009/10/hbase-architecture-101-storage.html

Hive Architecture Facebook

All Together Now! Facebook

Hive CLI With HBase
Minimum configuration needed:
hive
--auxpath hive_hbasehandler.jar,hbase.jar,zookeeper.jar
-hiveconf hbase.zookeeper.quorum=zk1,zk2…
hive> create table …
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Storage Handler
CREATE TABLE users(
userid int, name string, email string, notes string)
STORED BY
'org.apache.hadoop.hive.hbase.HBaseStorageHandler'
WITH SERDEPROPERTIES (
“ hbase.columns.mapping” =
“ small:name,small:email,large:notes”)
TBLPROPERTIES (
“ hbase.table.name” = “user_list”
);
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Column Mapping
First column in table is always the row key
Other columns can be mapped to either:
An HBase column (any Hive type)
An HBase column family (must be MAP type in Hive)
Multiple Hive columns can map to the same HBase column or family
Limitations
Currently no control over type mapping (always string in HBase)
Currently no way to map HBase timestamp attribute
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Load Via INSERT
INSERT OVERWRITE TABLE users
SELECT * FROM …;
Hive task writes rows to HBase via org.apache.hadoop.hbase.mapred.TableOutputFormat
HBaseSerDe serializes rows into BatchUpdate objects (currently all values are converted to strings)
Multiple rows with same key -> only one row written
Limitations
No write atomicity yet
No way to delete rows
Write parallelism is query-dependent (map vs reduce)
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Map-Reduce Job for INSERT Facebook HBase From http://blog.maxgarfinkel.com/wp-uploads/2010/02/mapreduceDIagram.png

Map-Only Job for INSERT Facebook HBase

Query Processing
SELECT name, notes FROM users WHERE userid=‘xyz’;
Rows are read from HBase via org.apache.hadoop.hbase.mapred.TableInputFormatBase
HBase determines the splits (one per table region)
HBaseSerDe produces lazy rows/maps for RowResults
Column selection is pushed down
Any SQL can be used (join, aggregation, union…)
Limitations
Currently no filter pushdown
How do we achieve locality?
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Metastore Integration
DDL can be used to create metadata in Hive and HBase simultaneously and consistently
CREATE EXTERNAL TABLE: register existing Hbase table
DROP TABLE: will drop HBase table too unless it was created as EXTERNAL
Limitations
No two-phase-commit for DDL operations
ALTER TABLE is not yet implemented
Partitioning is not yet defined
No secondary indexing
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Bulk Load
Ideally…
SET hive.hbase.bulk=true;
INSERT OVERWRITE TABLE users SELECT … ;
But for now, you have to do some work and issue multiple Hive commands
Sample source data for range partitioning
Save sampling results to a file
Run CLUSTER BY query using HiveHFileOutputFormat and TotalOrderPartitioner (sorts data, producing a large number of region files)
Import HFiles into HBase
HBase can merge files if necessary
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Range Partitioning During Sort Facebook A-G H-Q R-Z HBase (H) (R) TotalOrderPartitioner loadtable.rb

Sampling Query For Range Partitioning
Given 5 million users in a table bucketed into 1000 buckets of 5000 users each, pick 9 user_ids which partition the set of all user_ids into 10 nearly-equal-sized ranges.
select user_id from
(select user_id
from hive_user_table
tablesample(bucket 1 out of 1000 on user_id) s
order by user_id) sorted_user_5k_sample
where (row_sequence() % 501)=0;
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Sorting Query For Bulk Load
set mapred.reduce.tasks=12;
set hive.mapred.partitioner=
org.apache.hadoop.mapred.lib.TotalOrderPartitioner;
set total.order.partitioner.path=/tmp/hb_range_key_list;
set hfile.compression=gz;
create table hbsort(user_id string, user_type string, ...)
stored as inputformat 'org.apache.hadoop.mapred.TextInputFormat’
outputformat 'org.apache.hadoop.hive.hbase.HiveHFileOutputFormat’ tblproperties ('hfile.family.path' = '/tmp/hbsort/cf');
insert overwrite table hbsort
select user_id, user_type, createtime, …
from hive_user_table
cluster by user_id;
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Deployment
Latest Hive trunk (will be in Hive 0.6.0)
Requires Hadoop 0.20+
Tested with HBase 0.20.3 and Zookeeper 3.2.2
20-node hbtest cluster at Facebook
No performance numbers yet
Currently setting up tests with about 6TB (gz compressed)
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Questions?
[email_address]
[email_address]
http://wiki.apache.org/hadoop/Hive/HBaseIntegration
http://wiki.apache.org/hadoop/Hive/HBaseBulkLoad
Special thanks to Samuel Guo for the early versions of the integration code
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Hey, What About HBQL?
HBQL focuses on providing a convenient language layer for managing and accessing individual HBase tables, and is not intended for heavy-duty SQL processing such as joins and aggregations
HBQL is implemented via client-side calls, whereas Hive/HBase integration is implemented via map/reduce jobs
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Hadoop, Hbase and Hive- Bay area Hadoop User Group

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Hadoop, Hbase and Hive- Bay area Hadoop User Group — Presentation Transcript