To combine multiple ExplainText doc rows with the same query ID into one easily readable document, perform a SELECT request on the QryLogExplainDocV view.
Example
sel queryid,explaintextdoc from qrylogexplaindocv where queryid=307188741814475132;
The result looks like the following partial output:
*** Query completed. One row found. 2 columns returned.
*** Total elapsed time was 1 second.
QueryID ExplainTextDoc
307188741814475132 1) First, we lock Test_DB.b12 for read on a reserved rowHash to prevent global deadlock. 2) Next, we lock Test_DB.b3 for read on a reserved rowHash to prevent global deadlock. 3) We lock Test_DB.b12 for read, and we lock Test_DB.b3 for read. 4) We do an all-AMPs RETRIEVE step from Test_DB.b3 by way of an all-rows scan with a condition of ("NOT (Test_DB.b3.c2 IS NULL)") into Spool 2 (all_amps), which is redistributed by the hash code of (Test_DB.b3.c2) to all AMPs. Then we do a SORT to order Spool 2 by row hash. The size of Spool 2 is estimated with low confidence to be 4 rows (68 bytes). The estimated time for this step is 0.03 seconds. 5) We execute the following steps in parallel....
Export the result set to a file. On the monitor, some of the lines may truncate.
The memory allocated for the input is 32 MB. To see the memory setting, use the following:
cufconfig -o | grep MallocLimitTo add more memory, adjust the MallocLimit setting using cufconfig. For more information about cufconfig, see Teradata Vantage™ - Database Utilities , B035-1102 .