scenario.prod_test_unsalted_scenario.xml Maven / Gradle / Ivy
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
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~ "License"); you may not use this file except in compliance
~ with the License. You may obtain a copy of the License at
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~ distributed under the License is distributed on an "AS IS" BASIS,
~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
~ See the License for the specific language governing permissions and
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-->
<datamodel name="PROD_TEST_UNSALTED">
<datamapping>
<column>
<!-- This column type defines what will generally happen to VARCHAR fields unless they are explicitly defined or overridden elsewhere -->
<type>VARCHAR</type>
<dataSequence>RANDOM</dataSequence>
<length>15</length>
<name>GENERAL_VARCHAR</name>
</column>
<column>
<type>CHAR</type>
<dataSequence>RANDOM</dataSequence>
<length>15</length>
<name>GENERAL_CHAR</name>
</column>
<column>
<type>DATE</type>
<!--SEQUENTIAL is unsupported for DATE -->
<dataSequence>RANDOM</dataSequence>
<!-- Number [0-100] that represents the probability of creating a null value -->
<!-- The higher the number, the more like the value will returned will be null -->
<!-- Leaving this tag out is equivalent to having a 0 probability. i.e. never null -->
<nullChance>0</nullChance>
<minValue>1975</minValue>
<maxValue>2025</maxValue>
<name>GENERAL_DATE</name>
</column>
<column>
<type>DECIMAL</type>
<dataSequence>RANDOM</dataSequence>
<minValue>0</minValue>
<maxValue>1</maxValue>
<!-- Precision is limited to 18 -->
<precision>18</precision>
<!-- Number [0-100] that represents the probability of creating a null value -->
<!-- The higher the number, the more like the value will returned will be null -->
<!-- Leaving this tag out is equivalent to having a 0 probability. i.e. never null -->
<nullChance>90</nullChance>
<name>GENERAL_DECIMAL</name>
</column>
<column>
<type>INTEGER</type>
<dataSequence>RANDOM</dataSequence>
<minValue>1</minValue>
<maxValue>50000000</maxValue>
<!-- Number [0-100] that represents the probability of creating a null value -->
<!-- The higher the number, the more like the value will returned will be null -->
<!-- Leaving this tag out is equivalent to having a 0 probability. i.e. never null -->
<nullChance>100</nullChance>
<name>GENERAL_INTEGER</name>
</column>
<column>
<type>CHAR</type>
<userDefined>true</userDefined>
<dataSequence>LIST</dataSequence>
<length>15</length>
<name>TENANT_ID</name>
<valuelist>
<datavalue distribution="40">
<value>00Dxx0000001gER</value>
</datavalue>
<datavalue distribution="20">
<value>00Dxx0000001gES</value>
</datavalue>
<datavalue distribution="20">
<value>00Dxx0000001gET</value>
</datavalue>
<datavalue distribution="15">
<value>00Dxx0000001gEU</value>
</datavalue>
<datavalue distribution="5">
<value>00Dxx0000001gEV</value>
</datavalue>
</valuelist>
</column>
<column>
<type>DATE</type>
<userDefined>true</userDefined>
<dataSequence>LIST</dataSequence>
<name>CREATED_DATE</name>
<nullChance>0</nullChance>
<valuelist>
<datavalue distribution="2">
<minValue>2014-08-31 00:00:00.000</minValue>
<maxValue>2014-09-01 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-01 00:00:00.000</minValue>
<maxValue>2014-09-02 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-02 00:00:00.000</minValue>
<maxValue>2014-09-03 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-03 00:00:00.000</minValue>
<maxValue>2014-09-04 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-04 00:00:00.000</minValue>
<maxValue>2014-09-05 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-05 00:00:00.000</minValue>
<maxValue>2014-09-06 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-06 00:00:00.000</minValue>
<maxValue>2014-09-07 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-07 00:00:00.000</minValue>
<maxValue>2014-09-08 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-08 00:00:00.000</minValue>
<maxValue>2014-09-09 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-09 00:00:00.000</minValue>
<maxValue>2014-09-10 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-10 00:00:00.000</minValue>
<maxValue>2014-09-11 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-11 00:00:00.000</minValue>
<maxValue>2014-09-12 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-12 00:00:00.000</minValue>
<maxValue>2014-09-13 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-13 00:00:00.000</minValue>
<maxValue>2014-09-14 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-14 00:00:00.000</minValue>
<maxValue>2014-09-15 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-15 00:00:00.000</minValue>
<maxValue>2014-09-16 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-16 00:00:00.000</minValue>
<maxValue>2014-09-17 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-17 00:00:00.000</minValue>
<maxValue>2014-09-18 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-18 00:00:00.000</minValue>
<maxValue>2014-09-19 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-19 00:00:00.000</minValue>
<maxValue>2014-09-20 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-20 00:00:00.000</minValue>
<maxValue>2014-09-21 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-21 00:00:00.000</minValue>
<maxValue>2014-09-22 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-22 00:00:00.000</minValue>
<maxValue>2014-09-23 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-23 00:00:00.000</minValue>
<maxValue>2014-09-24 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-24 00:00:00.000</minValue>
<maxValue>2014-09-25 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-25 00:00:00.000</minValue>
<maxValue>2014-09-26 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-26 00:00:00.000</minValue>
<maxValue>2014-09-27 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-27 00:00:00.000</minValue>
<maxValue>2014-09-28 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-28 00:00:00.000</minValue>
<maxValue>2014-09-29 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-29 00:00:00.000</minValue>
<maxValue>2014-09-30 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-09-30 00:00:00.000</minValue>
<maxValue>2014-10-01 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-01 00:00:00.000</minValue>
<maxValue>2014-10-02 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-02 00:00:00.000</minValue>
<maxValue>2014-10-03 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-03 00:00:00.000</minValue>
<maxValue>2014-10-04 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-04 00:00:00.000</minValue>
<maxValue>2014-10-05 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-05 00:00:00.000</minValue>
<maxValue>2014-10-06 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-06 00:00:00.000</minValue>
<maxValue>2014-10-07 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-07 00:00:00.000</minValue>
<maxValue>2014-10-08 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-08 00:00:00.000</minValue>
<maxValue>2014-10-09 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-09 00:00:00.000</minValue>
<maxValue>2014-10-10 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-10 00:00:00.000</minValue>
<maxValue>2014-10-11 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-11 00:00:00.000</minValue>
<maxValue>2014-10-12 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-12 00:00:00.000</minValue>
<maxValue>2014-10-13 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-13 00:00:00.000</minValue>
<maxValue>2014-10-14 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-14 00:00:00.000</minValue>
<maxValue>2014-10-15 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-15 00:00:00.000</minValue>
<maxValue>2014-10-16 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-16 00:00:00.000</minValue>
<maxValue>2014-10-17 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-17 00:00:00.000</minValue>
<maxValue>2014-10-18 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-18 00:00:00.000</minValue>
<maxValue>2014-10-19 00:00:00.000</maxValue>
</datavalue>
<datavalue distribution="2">
<minValue>2014-10-19 00:00:00.000</minValue>
<maxValue>2014-10-20 00:00:00.000</maxValue>
</datavalue>
</valuelist>
</column>
</datamapping>
<scenarios>
<scenario tableName="PHERF.PHERF_PROD_TEST_UNSALTED" rowCount="100" name="readWriteScenario">
<!-- Scenario level rule overrides will be unsupported in V1.
You can use the general datamappings in the mean time-->
<dataOverride>
<column>
<type>VARCHAR</type>
<userDefined>true</userDefined>
<length>15</length>
<dataSequence>LIST</dataSequence>
<valueList>
<datavalue>
<value>00Dxx0000001gER</value>
</datavalue>
<datavalue>
<value>00Dxx0000001gES</value>
</datavalue>
<datavalue>
<value>00Dxx0000001gET</value>
</datavalue>
</valueList>
<name>TENANT_ID</name>
</column>
</dataOverride>
<preScenarioDdls>
<ddl statement="CREATE INDEX IF NOT EXISTS IDX_DIVISION ON PHERF.PHERF_PROD_TEST_UNSALTED (DIVISION)"/>
</preScenarioDdls>
<postScenarioDdls>
<ddl statement="CREATE INDEX IF NOT EXISTS IDX_OLDVAL_STRING ON PHERF.PHERF_PROD_TEST_UNSALTED (OLDVAL_STRING)"/>
<ddl statement="CREATE INDEX IF NOT EXISTS IDX_CONNECTION_ID ON PHERF.PHERF_PROD_TEST_UNSALTED (CONNECTION_ID)"/>
</postScenarioDdls>
<writeParams executionDurationInMs="10000">
<!--
Number of writer it insert into the threadpool
-->
<writerThreadCount>5</writerThreadCount>
<!--
Time in Ms that each thread will sleep between batch writes. This helps to
throttle writers.
-->
<threadSleepDuration>10</threadSleepDuration>
<batchSize>100</batchSize>
</writeParams>
<!--Minimum of executionDurationInMs or numberOfExecutions. Which ever is reached first -->
<querySet concurrency="1" executionType="PARALLEL" executionDurationInMs="60000"
numberOfExecutions="100">
<!-- Aggregate queries on a per tenant basis -->
<query tenantId="00Dxx0000001gER"
ddl="CREATE VIEW IF NOT EXISTS PHERF.PHERF_TEST_VIEW_UNSALTED AS SELECT * FROM PHERF.PHERF_PROD_TEST_UNSALTED"
statement="select count(*) from PHERF.PHERF_TEST_VIEW_UNSALTED"/>
</querySet>
</scenario>
<scenario tableName="PHERF.PHERF_PROD_TEST_UNSALTED" rowCount="10" name="readWriteScenario">
<dataOverride>
<column>
<type>VARCHAR</type>
<userDefined>true</userDefined>
<length>15</length>
<dataSequence>LIST</dataSequence>
<valueList>
<datavalue>
<value>00Dxx0000001gER</value>
</datavalue>
<datavalue>
<value>00Dxx0000001gES</value>
</datavalue>
<datavalue>
<value>00Dxx0000001gET</value>
</datavalue>
</valueList>
<name>TENANT_ID</name>
</column>
</dataOverride>
<!-- Pre and post scenario indexes -->
<preScenarioDdls>
<ddl statement="CREATE INDEX IF NOT EXISTS IDX_DIVISION ON PHERF.PHERF_PROD_TEST_UNSALTED (DIVISION)"/>
</preScenarioDdls>
<postScenarioDdls>
<ddl statement="CREATE INDEX IF NOT EXISTS IDX_OLDVAL_STRING ON PHERF.PHERF_PROD_TEST_UNSALTED (OLDVAL_STRING)"/>
<ddl statement="CREATE INDEX IF NOT EXISTS IDX_CONNECTION_ID ON PHERF.PHERF_PROD_TEST_UNSALTED (CONNECTION_ID)"/>
</postScenarioDdls>
<!--Minimum of executionDurationInMs or numberOfExecutions. Which ever is reached first -->
<querySet concurrency="1" executionType="PARALLEL" executionDurationInMs="60000" numberOfExecutions="100">
<query statement="select count(*) from PHERF.PHERF_PROD_TEST_UNSALTED WHERE TENANT_ID=[TENANT_ID] AND TENANT_ID=[TENANT_ID]"/>
<!-- Aggregate queries on a per tenant basis -->
<query tenantId="00Dxx0000001gER"
ddl="CREATE VIEW IF NOT EXISTS PHERF.PHERF_TEST_VIEW_UNSALTED AS SELECT * FROM PHERF.PHERF_PROD_TEST_UNSALTED"
statement="select count(*) from PHERF.PHERF_TEST_VIEW_UNSALTED"/>
<query tenantId="00Dxx0000001gES"
ddl="CREATE VIEW IF NOT EXISTS PHERF.PHERF_TEST_VIEW_UNSALTED AS SELECT * FROM PHERF.PHERF_PROD_TEST_UNSALTED"
statement="select /*+ SMALL*/ count(*) from PHERF.PHERF_TEST_VIEW_UNSALTED"/>
</querySet>
</scenario>
</scenarios>
</datamodel>
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