How to partially normalize a table? - pivot-table

Question

Let's say I have the table:
M1 M2 M3
S1 S2 S1 S2 S1 S2
P1 D1 T1 0 1 2 3 4 5
P2 D2 T2 6 7 8 9 10 11
P3 D3 T3 12 13 14 15 16 17
The XML Input:
<?xml version="1.0" encoding="UTF-8"?>
<transformation>
<info>
<name>test</name>
<description/>
<extended_description/>
<trans_version/>
<trans_type>Normal</trans_type>
<trans_status>0</trans_status>
<directory>/</directory>
<parameters>
</parameters>
<log>
<trans-log-table>
<connection/>
<schema/>
<table/>
<size_limit_lines/>
<interval/>
<timeout_days/>
<field>
<id>ID_BATCH</id>
<enabled>Y</enabled>
<name>ID_BATCH</name>
</field>
<field>
<id>CHANNEL_ID</id>
<enabled>Y</enabled>
<name>CHANNEL_ID</name>
</field>
<field>
<id>TRANSNAME</id>
<enabled>Y</enabled>
<name>TRANSNAME</name>
</field>
<field>
<id>STATUS</id>
<enabled>Y</enabled>
<name>STATUS</name>
</field>
<field>
<id>LINES_READ</id>
<enabled>Y</enabled>
<name>LINES_READ</name>
<subject/>
</field>
<field>
<id>LINES_WRITTEN</id>
<enabled>Y</enabled>
<name>LINES_WRITTEN</name>
<subject/>
</field>
<field>
<id>LINES_UPDATED</id>
<enabled>Y</enabled>
<name>LINES_UPDATED</name>
<subject/>
</field>
<field>
<id>LINES_INPUT</id>
<enabled>Y</enabled>
<name>LINES_INPUT</name>
<subject/>
</field>
<field>
<id>LINES_OUTPUT</id>
<enabled>Y</enabled>
<name>LINES_OUTPUT</name>
<subject/>
</field>
<field>
<id>LINES_REJECTED</id>
<enabled>Y</enabled>
<name>LINES_REJECTED</name>
<subject/>
</field>
<field>
<id>ERRORS</id>
<enabled>Y</enabled>
<name>ERRORS</name>
</field>
<field>
<id>STARTDATE</id>
<enabled>Y</enabled>
<name>STARTDATE</name>
</field>
<field>
<id>ENDDATE</id>
<enabled>Y</enabled>
<name>ENDDATE</name>
</field>
<field>
<id>LOGDATE</id>
<enabled>Y</enabled>
<name>LOGDATE</name>
</field>
<field>
<id>DEPDATE</id>
<enabled>Y</enabled>
<name>DEPDATE</name>
</field>
<field>
<id>REPLAYDATE</id>
<enabled>Y</enabled>
<name>REPLAYDATE</name>
</field>
<field>
<id>LOG_FIELD</id>
<enabled>Y</enabled>
<name>LOG_FIELD</name>
</field>
<field>
<id>EXECUTING_SERVER</id>
<enabled>N</enabled>
<name>EXECUTING_SERVER</name>
</field>
<field>
<id>EXECUTING_USER</id>
<enabled>N</enabled>
<name>EXECUTING_USER</name>
</field>
<field>
<id>CLIENT</id>
<enabled>N</enabled>
<name>CLIENT</name>
</field>
</trans-log-table>
<perf-log-table>
<connection/>
<schema/>
<table/>
<interval/>
<timeout_days/>
<field>
<id>ID_BATCH</id>
<enabled>Y</enabled>
<name>ID_BATCH</name>
</field>
<field>
<id>SEQ_NR</id>
<enabled>Y</enabled>
<name>SEQ_NR</name>
</field>
<field>
<id>LOGDATE</id>
<enabled>Y</enabled>
<name>LOGDATE</name>
</field>
<field>
<id>TRANSNAME</id>
<enabled>Y</enabled>
<name>TRANSNAME</name>
</field>
<field>
<id>STEPNAME</id>
<enabled>Y</enabled>
<name>STEPNAME</name>
</field>
<field>
<id>STEP_COPY</id>
<enabled>Y</enabled>
<name>STEP_COPY</name>
</field>
<field>
<id>LINES_READ</id>
<enabled>Y</enabled>
<name>LINES_READ</name>
</field>
<field>
<id>LINES_WRITTEN</id>
<enabled>Y</enabled>
<name>LINES_WRITTEN</name>
</field>
<field>
<id>LINES_UPDATED</id>
<enabled>Y</enabled>
<name>LINES_UPDATED</name>
</field>
<field>
<id>LINES_INPUT</id>
<enabled>Y</enabled>
<name>LINES_INPUT</name>
</field>
<field>
<id>LINES_OUTPUT</id>
<enabled>Y</enabled>
<name>LINES_OUTPUT</name>
</field>
<field>
<id>LINES_REJECTED</id>
<enabled>Y</enabled>
<name>LINES_REJECTED</name>
</field>
<field>
<id>ERRORS</id>
<enabled>Y</enabled>
<name>ERRORS</name>
</field>
<field>
<id>INPUT_BUFFER_ROWS</id>
<enabled>Y</enabled>
<name>INPUT_BUFFER_ROWS</name>
</field>
<field>
<id>OUTPUT_BUFFER_ROWS</id>
<enabled>Y</enabled>
<name>OUTPUT_BUFFER_ROWS</name>
</field>
</perf-log-table>
<channel-log-table>
<connection/>
<schema/>
<table/>
<timeout_days/>
<field>
<id>ID_BATCH</id>
<enabled>Y</enabled>
<name>ID_BATCH</name>
</field>
<field>
<id>CHANNEL_ID</id>
<enabled>Y</enabled>
<name>CHANNEL_ID</name>
</field>
<field>
<id>LOG_DATE</id>
<enabled>Y</enabled>
<name>LOG_DATE</name>
</field>
<field>
<id>LOGGING_OBJECT_TYPE</id>
<enabled>Y</enabled>
<name>LOGGING_OBJECT_TYPE</name>
</field>
<field>
<id>OBJECT_NAME</id>
<enabled>Y</enabled>
<name>OBJECT_NAME</name>
</field>
<field>
<id>OBJECT_COPY</id>
<enabled>Y</enabled>
<name>OBJECT_COPY</name>
</field>
<field>
<id>REPOSITORY_DIRECTORY</id>
<enabled>Y</enabled>
<name>REPOSITORY_DIRECTORY</name>
</field>
<field>
<id>FILENAME</id>
<enabled>Y</enabled>
<name>FILENAME</name>
</field>
<field>
<id>OBJECT_ID</id>
<enabled>Y</enabled>
<name>OBJECT_ID</name>
</field>
<field>
<id>OBJECT_REVISION</id>
<enabled>Y</enabled>
<name>OBJECT_REVISION</name>
</field>
<field>
<id>PARENT_CHANNEL_ID</id>
<enabled>Y</enabled>
<name>PARENT_CHANNEL_ID</name>
</field>
<field>
<id>ROOT_CHANNEL_ID</id>
<enabled>Y</enabled>
<name>ROOT_CHANNEL_ID</name>
</field>
</channel-log-table>
<step-log-table>
<connection/>
<schema/>
<table/>
<timeout_days/>
<field>
<id>ID_BATCH</id>
<enabled>Y</enabled>
<name>ID_BATCH</name>
</field>
<field>
<id>CHANNEL_ID</id>
<enabled>Y</enabled>
<name>CHANNEL_ID</name>
</field>
<field>
<id>LOG_DATE</id>
<enabled>Y</enabled>
<name>LOG_DATE</name>
</field>
<field>
<id>TRANSNAME</id>
<enabled>Y</enabled>
<name>TRANSNAME</name>
</field>
<field>
<id>STEPNAME</id>
<enabled>Y</enabled>
<name>STEPNAME</name>
</field>
<field>
<id>STEP_COPY</id>
<enabled>Y</enabled>
<name>STEP_COPY</name>
</field>
<field>
<id>LINES_READ</id>
<enabled>Y</enabled>
<name>LINES_READ</name>
</field>
<field>
<id>LINES_WRITTEN</id>
<enabled>Y</enabled>
<name>LINES_WRITTEN</name>
</field>
<field>
<id>LINES_UPDATED</id>
<enabled>Y</enabled>
<name>LINES_UPDATED</name>
</field>
<field>
<id>LINES_INPUT</id>
<enabled>Y</enabled>
<name>LINES_INPUT</name>
</field>
<field>
<id>LINES_OUTPUT</id>
<enabled>Y</enabled>
<name>LINES_OUTPUT</name>
</field>
<field>
<id>LINES_REJECTED</id>
<enabled>Y</enabled>
<name>LINES_REJECTED</name>
</field>
<field>
<id>ERRORS</id>
<enabled>Y</enabled>
<name>ERRORS</name>
</field>
<field>
<id>LOG_FIELD</id>
<enabled>N</enabled>
<name>LOG_FIELD</name>
</field>
</step-log-table>
<metrics-log-table>
<connection/>
<schema/>
<table/>
<timeout_days/>
<field>
<id>ID_BATCH</id>
<enabled>Y</enabled>
<name>ID_BATCH</name>
</field>
<field>
<id>CHANNEL_ID</id>
<enabled>Y</enabled>
<name>CHANNEL_ID</name>
</field>
<field>
<id>LOG_DATE</id>
<enabled>Y</enabled>
<name>LOG_DATE</name>
</field>
<field>
<id>METRICS_DATE</id>
<enabled>Y</enabled>
<name>METRICS_DATE</name>
</field>
<field>
<id>METRICS_CODE</id>
<enabled>Y</enabled>
<name>METRICS_CODE</name>
</field>
<field>
<id>METRICS_DESCRIPTION</id>
<enabled>Y</enabled>
<name>METRICS_DESCRIPTION</name>
</field>
<field>
<id>METRICS_SUBJECT</id>
<enabled>Y</enabled>
<name>METRICS_SUBJECT</name>
</field>
<field>
<id>METRICS_TYPE</id>
<enabled>Y</enabled>
<name>METRICS_TYPE</name>
</field>
<field>
<id>METRICS_VALUE</id>
<enabled>Y</enabled>
<name>METRICS_VALUE</name>
</field>
</metrics-log-table>
</log>
<maxdate>
<connection/>
<table/>
<field/>
<offset>0.0</offset>
<maxdiff>0.0</maxdiff>
</maxdate>
<size_rowset>10000</size_rowset>
<sleep_time_empty>50</sleep_time_empty>
<sleep_time_full>50</sleep_time_full>
<unique_connections>N</unique_connections>
<feedback_shown>Y</feedback_shown>
<feedback_size>50000</feedback_size>
<using_thread_priorities>Y</using_thread_priorities>
<shared_objects_file/>
<capture_step_performance>N</capture_step_performance>
<step_performance_capturing_delay>1000</step_performance_capturing_delay>
<step_performance_capturing_size_limit>100</step_performance_capturing_size_limit>
<dependencies>
</dependencies>
<partitionschemas>
</partitionschemas>
<slaveservers>
</slaveservers>
<clusterschemas>
</clusterschemas>
<created_user>-</created_user>
<created_date>2018/03/12 14:50:53.529</created_date>
<modified_user>-</modified_user>
<modified_date>2018/03/12 14:50:53.529</modified_date>
<key_for_session_key/>
<is_key_private>N</is_key_private>
</info>
<notepads>
</notepads>
<order>
</order>
<step>
<name>Data Grid</name>
<type>DataGrid</type>
<description/>
<distribute>Y</distribute>
<custom_distribution/>
<copies>1</copies>
<partitioning>
<method>none</method>
<schema_name/>
</partitioning>
<fields>
<field>
<name>Product</name>
<type>String</type>
<format/>
<currency/>
<decimal/>
<group/>
<length>-1</length>
<precision>-1</precision>
<set_empty_string>N</set_empty_string>
</field>
<field>
<name>Description</name>
<type>String</type>
<format/>
<currency/>
<decimal/>
<group/>
<length>-1</length>
<precision>-1</precision>
<set_empty_string>N</set_empty_string>
</field>
<field>
<name>Type</name>
<type>String</type>
<format/>
<currency/>
<decimal/>
<group/>
<length>-1</length>
<precision>-1</precision>
<set_empty_string>N</set_empty_string>
</field>
<field>
<name>M1_S1</name>
<type/>
<format/>
<currency/>
<decimal/>
<group/>
<length>-1</length>
<precision>-1</precision>
<set_empty_string>N</set_empty_string>
</field>
<field>
<name>M1_S2</name>
<type/>
<format/>
<currency/>
<decimal/>
<group/>
<length>-1</length>
<precision>-1</precision>
<set_empty_string>N</set_empty_string>
</field>
<field>
<name>M2_S1</name>
<type/>
<format/>
<currency/>
<decimal/>
<group/>
<length>-1</length>
<precision>-1</precision>
<set_empty_string>N</set_empty_string>
</field>
<field>
<name>M2_S2</name>
<type/>
<format/>
<currency/>
<decimal/>
<group/>
<length>-1</length>
<precision>-1</precision>
<set_empty_string>N</set_empty_string>
</field>
<field>
<name>M3_S1</name>
<type/>
<format/>
<currency/>
<decimal/>
<group/>
<length>-1</length>
<precision>-1</precision>
<set_empty_string>N</set_empty_string>
</field>
<field>
<name>M3_S2</name>
<type/>
<format/>
<currency/>
<decimal/>
<group/>
<length>-1</length>
<precision>-1</precision>
<set_empty_string>N</set_empty_string>
</field>
</fields>
<data>
<line>
<item/>
<item/>
<item/>
<item>M1</item>
<item/>
<item>M2</item>
<item/>
<item>M3</item>
<item/>
</line>
<line>
<item/>
<item/>
<item/>
<item>S1</item>
<item>S2</item>
<item>S1</item>
<item>S2</item>
<item>S1</item>
<item>S2</item>
</line>
<line>
<item>P1</item>
<item>D1</item>
<item>T1</item>
<item>0</item>
<item>1</item>
<item>2</item>
<item>3</item>
<item>4</item>
<item>5</item>
</line>
<line>
<item>P2</item>
<item>D2</item>
<item>T2</item>
<item>6</item>
<item>7</item>
<item>8</item>
<item>9</item>
<item>10</item>
<item>11</item>
</line>
<line>
<item>P3</item>
<item>D3</item>
<item>T3</item>
<item>12</item>
<item>13</item>
<item>14</item>
<item>15</item>
<item>16</item>
<item>17</item>
</line>
</data>
<cluster_schema/>
<remotesteps>
<input>
</input>
<output>
</output>
</remotesteps>
<GUI>
<xloc>32</xloc>
<yloc>32</yloc>
<draw>Y</draw>
</GUI>
</step>
<step_error_handling>
</step_error_handling>
<slave-step-copy-partition-distribution>
</slave-step-copy-partition-distribution>
<slave_transformation>N</slave_transformation>
</transformation>
How can I make it so that the table becomes partially normalized, like:
M1 M2 M3
P1 D1 T1 S1 0 2 4
P1 D1 T1 S2 1 3 5
P2 D2 T2 S1 6 8 10
P2 D2 T2 S2 7 9 11
P3 D3 T3 S1 12 14 16
P3 D3 T3 S2 13 15 17
Do I have to first merge the two headers, and then normalize + split values?
Further explanation:
becomes partially normalized, like means that the table isn't completely normalized, like:
Data
P1 D1 T1 M1 S1 0
P1 D1 T1 M1 S2 1
P1 D1 T1 M2 S1 2
P1 D1 T1 M2 S2 3
P1 D1 T1 M3 S1 4
P1 D1 T1 M3 S2 5
P2 D2 T2 M1 S1 6
P2 D2 T2 M1 S2 7
P2 D2 T2 M2 S1 8
P2 D2 T2 M2 S2 9
P2 D2 T2 M3 S1 10
P2 D2 T2 M3 S2 11
P3 D3 T3 M1 S1 12
P3 D3 T3 M1 S2 13
P3 D3 T3 M2 S1 14
P3 D3 T3 M2 S2 15
P3 D3 T3 M3 S1 16
P3 D3 T3 M3 S2 17
merging the headers would be having a single header cell with the value of M2_S1 for example, after merging the headers it's rather trivial to normalize. However one would need to split the value of those header cells, as in M2_S1 to M2 and S1.
I am expecting an answer in the form of pentaho-spoon steps, and an explanation of what is being done and why it is being done in each step.