Platform Analytics 7 Dataflow

Daily Host Status datamart

Main ETL XML file

hostStatusDaily.xml

Output CSV files

hoststatusdaily.csv

Record sample

DATE, WEEKDAY, COREHOUR, CLUSTERNAME, HOSTNAME, STATUS, DURATION

"2005-10-31", 2, 0, "LSF62", "amd01.lsf.platform.com", "unavail", 420

"2005-10-31", 2, 0, "LSF62", "amd06.lsf.platform.com", "unavail", 420

Column description

The Daily Host Status datamart gets its information from the wi_hoststatus table. The information is logged by change-a new record is generated if the status has changed. A transformer called LogByChangeToSampling transforms this information into hourly sampled data. Then it collects the sampled data into daily sampled data and outputs them to this datamart.

The following table describes each column and its source:
Column name
Source and description

DATE

This is the date portion of the localized time_stamp field which the LogbyChangetoSampling transformer converts from the time_stamp column in the wi_hoststatus table. The format is "YYYY-MM-DD".

WEEKDAY

This is the weekday number of the localized time_stamp field which the LogbyChangetoSampling transformer converts from the time_stamp in the wi_hoststatus table. The value "1" is Sunday, "2" is "Monday", etc.

COREHOUR

The source is the localized time_stamp field which the LogbyChangetoSampling transformer converts from the time_stamp column in the wi_hoststatus table.

CLUSTERNAME

This is the cluster_name in the wi_clustercode table, which is based on the cluster_code column in the wi_hoststatus table.

HOSTNAME

This is the host_name in the wi_hostcode table, which is based on the host_code column in the wi_hoststatus table.

STATUS

This is the status of the host in the wi_statuscode table, which is based on the status_code column in the wi_hoststatus table. This status is extended into each sample by the LogByChangetoSample transformer, then collected for the day as one of the keys.

DURATION

This is the total duration, in minutes, of this particular status during this day.