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This presentation will introduce plans for 2020 regarding migrating all the cluster managed by IT to Apache Hadoop3
This presentation will introduce Presto, a SQL abstract layer on top of Big data stores
CREATE TABLE hive_hadoop3.zbaranow_db.collectd(
dstype varchar ,
host varchar ,
interval double ,
plugin varchar ,
plugin_instance varchar ,
time bigint ,
type varchar ,
type_instance varchar ,
env varchar ,
region varchar ,
dc varchar ,
value double ,
value_instance varchar ,
_id varchar ,
availability_zone varchar ,
event_timestamp bigint ,
submitter_environment varchar ,
submitter_hostgroup varchar ,
timestamp bigint ,
toplevel_hostgroup varchar ,
version varchar ,
year int,
month int,
day int
)
WITH (
format = 'PARQUET',
external_location = '/project/monitoring/collectd/database',
partitioned_by = ARRAY['year','month','day']
);
use hive_hadoop3;
SELECT * FROM hive_hadoop3.zbaranow_db."collectd$partitions"
call system.sync_partition_metadata('zbaranow_db', 'collectd', 'ADD')
SELECT * FROM hive_hadoop3.zbaranow_db."collectd$partitions"
select count(*) from hive_hadoop3.zbaranow_db.collectd;
select month, count(*) from hive_hadoop3.zbaranow_db.collectd group by month;
select month, avg(value)/1024/1024 from hive_hadoop3.zbaranow_db.collectd where plugin='hadoop' and type_instance='BytesWritten' group by month ;
create table phoenix_hadoop3.default.collectd_hadoop WITH ( rowkeys = 'type_instance,time,submitter_hostgroup,host', compression = 'SNAPPY', salt_buckets = 20) as select host,plugin,plugin_instance,time,value as val,type_instance,submitter_hostgroup,submitter_environment from hive_hadoop3.zbaranow_db.collectd where plugin='hadoop';