Multiple VM's sharing the same vcpu's?

Hey all, i'm new to Oracle VM... We have been using it for a little bit but I haven't been able to dive into its low level workings.
I have a number of VM's on a server and most have between 2 and 4 vcpu's assigned. What I notice is that they all appear to be using the first four vcpu's based on xentop output. For example, two vm's listed below but all 8 VM's are like it.
VM1 b- 10908765 1.5 5242880 6.9 5242880 6.9 2 2 2353737 232062 2 1455 721019 127197360 0
VCPUs(sec):   0:    5426603s  1:    5482161s
VM2 b- 1627508 2.4 8192000 10.9 8192000 10.9 2 1 2319535 1919810 2 389 215323 34384929 0
VCPUs(sec):   0:     820384s  1:     807124s
Now this server has 16 vcpus available... From what I have read in a few other posts, VM Server should be spreading this load out to other cpu's. But that doesn't appear to be happening.
I've seen mention of people binding VM's to specific VCPU's. Should I be doing that? I didn't think it was necessary.

Hi,
this does onyl show the VCPUs number from the guest, not the CPU this guest is mapped to.
Use
xm vcpu-list
to see the CPU a VCPU is mapped to.
Regards
Sebastian

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    DB Name         DB Id    Instance     Inst Num Release     RAC Host
    TESTDB          2157605839 TESTDB1               1 10.2.0.3.0  YES testhost1
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    1   2960830398                 25,131             1         32542          32542
    2   3834848140                      0             0         32542          32542
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    CPU Time (ms)                                23,270       23,270.2     3.9
    Executions                                        1            N/A     N/A
    Buffer Gets                               2,626,166    2,626,166.0    14.6
    Disk Reads                                      305          305.0     0.3
    Parse Calls                                       1            1.0     0.0
    Rows                                        371,735      371,735.0     N/A
    User I/O Wait Time (ms)                         564            N/A     N/A
    Cluster Wait Time (ms)                            0            N/A     N/A
    Application Wait Time (ms)                        0            N/A     N/A
    Concurrency Wait Time (ms)                        0            N/A     N/A
    Invalidations                                     0            N/A     N/A
    Version Count                                     2            N/A     N/A
    Sharable Mem(KB)                                 26            N/A     N/A
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    | Id  | Operation                    | Name            | Rows  | Bytes | Cost (%CPU)| Time     |
    |   0 | UPDATE STATEMENT             |                 |       |       |  1110 (100)|          |
    |   1 |  UPDATE                      | TEST            |       |       |            |          |
    |   2 |   TABLE ACCESS FULL          | TEST            |   116K|  2740K|  1110   (2)| 00:00:14 |
    |   3 |   TABLE ACCESS BY INDEX ROWID| ACCT            |     1 |    26 |     5   (0)| 00:00:01 |
    |   4 |    INDEX RANGE SCAN          | ACCT_DT_ACC_IDX |     1 |       |     4   (0)| 00:00:01 |
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    Stat Name                                Statement   Per Execution % Snap
    Elapsed Time (ms)                                 0            N/A     0.0
    CPU Time (ms)                                     0            N/A     0.0
    Executions                                        0            N/A     N/A
    Buffer Gets                                       0            N/A     0.0
    Disk Reads                                        0            N/A     0.0
    Parse Calls                                       0            N/A     0.0
    Rows                                              0            N/A     N/A
    User I/O Wait Time (ms)                           0            N/A     N/A
    Cluster Wait Time (ms)                            0            N/A     N/A
    Application Wait Time (ms)                        0            N/A     N/A
    Concurrency Wait Time (ms)                        0            N/A     N/A
    Invalidations                                     0            N/A     N/A
    Version Count                                     2            N/A     N/A
    Sharable Mem(KB)                                 26            N/A     N/A
    Execution Plan
    | Id  | Operation                    | Name         | Rows  | Bytes | Cost (%CPU)| Time     |
    |   0 | UPDATE STATEMENT             |              |       |       |     2 (100)|          |
    |   1 |  UPDATE                      | TEST         |       |       |            |          |
    |   2 |   TABLE ACCESS BY INDEX ROWID| TEST         |     1 |    28 |     2   (0)| 00:00:01 |
    |   3 |    INDEX RANGE SCAN          | TEST_DT_IND  |     1 |       |     1   (0)| 00:00:01 |
    |   4 |   TABLE ACCESS BY INDEX ROWID| ACCT         |     1 |    26 |     4   (0)| 00:00:01 |
    |   5 |    INDEX RANGE SCAN          | INDX_ACCT_DT |     1 |       |     3   (0)| 00:00:01 |
    Full SQL Text
    SQL ID       SQL Text
    51szt7b736bm UPDATE TEST SET TEST_TRN_DAY_CL = (SELECT (NVL(ACCT_CR_BAL, 0) +
                  NVL(ACCT_DR_BAL, 0)) FROM ACCT WHERE ACCT_TRN_DT = (:B1 ) AND PB
                 RN_ACC_NB = ACCT_ACC_NB(+)) WHERE TEST_BATCH_DT = (:B1 )Your input is highly appreciated.
    Thanks for taking your time in answering my question.
    Regards

    Oracle Lover3 wrote:
    Dear experts,
    awrsqrpt.sql is showing multiple executions plans for a single SQL statement. How is it possible that one SQL statement will have multiple Executions Plans within the same AWR report.If you're using bind variables and you've histograms on your columns which can be created by default in 10g due to the "SIZE AUTO" default "method_opt" parameter of DBMS_STATS.GATHER__STATS it is quite normal that you get different execution plans for the same SQL statement. Depending on the values passed when the statement is hard parsed (this feature is called "bind variable peeking" and enabled by default since 9i) an execution plan is determined and re-used for all further executions of the same "shared" SQL statement.
    If now your statement ages out of the shared pool or is invalidated due to some DDL or statistics gathering activity it will be re-parsed and again the values passed in that particular moment will determine the execution plan. If you have skewed data distribution and a histogram in place that reflects that skewness you might get different execution plans depending on the actual values used.
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    Regards,
    Randolf
    Oracle related stuff blog:
    http://oracle-randolf.blogspot.com/
    SQLTools++ for Oracle (Open source Oracle GUI for Windows):
    http://www.sqltools-plusplus.org:7676/
    http://sourceforge.net/projects/sqlt-pp/

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