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/* Script to give statistics of user please specify SID */ | |
REM Usage @sid sidno | |
REM Gives SQL,last execution time and locks being held | |
REM This script is for DB where timed_statistics = false | |
REM If timed_statistics = true alter script to use | |
REM process last non-idle time value from v$sesstat | |
REM see example in idle.sql | |
set serveroutput on veri off pages 24 lines 132 | |
declare |
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SELECT owner, | |
table_name, | |
TRUNC(sum(bytes)/1024/1024) Meg | |
FROM | |
(SELECT segment_name table_name, | |
owner, | |
bytes | |
FROM dba_segments | |
WHERE segment_type = 'TABLE' | |
UNION |
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SELECT oracle_username || ' (' || s.osuser || ')' username | |
, s.sid || ',' || s.serial# sess_id | |
, owner || '.' || object_name object | |
, object_type | |
, CURSOR((SELECT DECODE (l.block, 0, 'Not Blocking', 1, 'Blocking', 2, 'Global') FROM v$lock l WHERE l.id1 = v.object_id)) status | |
, DECODE (v.locked_mode, 0, 'None', | |
1, 'Null', | |
2, 'Row-S (SS)', | |
3, 'Row-X (SX)', | |
4, 'Share', |
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SELECT to_char(creation_time, | |
'MM-RRRR') "Month", sum(bytes)/1024/1024/1024 "Growth IN GB" | |
FROM sys.v_$datafile | |
WHERE to_char(creation_time,'RRRR')='2014' | |
GROUP BY to_char(creation_time, 'MM-RRRR') | |
ORDER BY to_char(creation_time, 'MM-RRRR'); -----SELECT b.tsname tablespace_name, | |
MAX (b.used_size_mb) cur_used_size_mb, | |
ROUND (AVG (inc_used_size_mb), | |
2) avg_increas_mb | |
FROM |
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// Drop Part | |
BEGIN | |
SYS.DBMS_SCHEDULER.DROP_JOB | |
(job_name => 'ABL_DBOBJECTS.RECON_REVOKING_DUNNING'); | |
END; | |
/ | |
// Creation Part | |
BEGIN | |
SYS.DBMS_SCHEDULER.CREATE_JOB |
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select | |
'exec analyzedb.reorg_a_table4('||' '||rtrim(t.table_owner)|| ' ' ||','|| ' ' || | |
rtrim(t.table_name)||' '||');', | |
t.table_owner||'.'||t.table_name name, | |
a.num_rows, | |
sum(t.inserts) ins, | |
sum(t.updates) upd, | |
sum(t.deletes) del, | |
sum(t.updates)+sum(t.inserts)+sum(t.deletes) tot_chgs, | |
to_char((sum(t.deletes)/(decode(a.num_rows,0,1,a.num_rows)))*100.0,'999999.99') per_del, |
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from pyspark import SparkContext, SparkConf | |
from pyspark.sql import SparkSession, Row, HiveContext | |
from pyspark.sql.functions import * | |
from pyspark.sql.types import * | |
import multiprocessing as mp | |
conf = SparkConf().setAll([('spark.executor.cores', '4'), | |
('spark.cores.max', '8'), | |
("spark.yarn.am.memory", "8g"), |