Itunes taking more time to Sync after IOS 6 upgrade

itunes taking more time to Sync apps data after IOS 6 upgrade in iphone 4s. Also itunes is getting hanged and is very slow. I tried twice and still having the same issue.

I also noticed that. Even with a cable connection. Just a small pdf file hangs forever.
Forever ... 12/15 seconds maybe? It's a long time really, for such a small sync.
File transfer not so much! That behaves normally here, as one would expect with iOS5 and previous versions before iTunes 10.7.
It's the first steps. Doing whatever it is doing. Those are definitely slower now. It takes a while until it starts the actual transfer.

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    CLIENT_EXEC               BINARY_FLOAT,
    CNT_CLIENT_EXEC          TT_BIGINT,
    CLIENT_TRANS               BINARY_FLOAT,
    CNT_CLIENT_TRANS          TT_BIGINT,
    CLIENT_CLEARING          BINARY_FLOAT,
    CNT_CLIENT_CLEARING          TT_BIGINT,
    CLIENT_SETTLE               BINARY_FLOAT,
    CNT_CLIENT_SETTLE          TT_BIGINT,
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    VENDOR_CHARGE               BINARY_FLOAT,
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    ROUTING_CHARGES          BINARY_FLOAT,
    CNT_ROUTING_CHARGES          TT_BIGINT,
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    CNT_RECOVERED_ROUTING          TT_BIGINT,
    CLIENT_ROUTING               BINARY_FLOAT,
    CNT_CLIENT_ROUTING          TT_BIGINT,
    TICKET_CHARGES               BINARY_FLOAT,
    CNT_TICKET_CHARGES          TT_BIGINT,
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    < Connections, 64 >
    < DataBaseCharacterSet, AL32UTF8 >
    < DataStore, e:\andrew\datacache\usDMA >
    < DurableCommits, 0 >
    < GroupRestrict, <NULL> >
    < LockLevel, 0 >
    < LockWait, 10 >
    < LogBuffSize, 65536 >
    < LogDir, e:\andrew\datacache\ >
    < LogFileSize, 64 >
    < LogFlushMethod, 1 >
    < LogPurge, 0 >
    < Logging, 1 >
    < MemoryLock, 0 >
    < NLS_LENGTH_SEMANTICS, BYTE >
    < NLS_NCHAR_CONV_EXCP, 0 >
    < NLS_SORT, BINARY >
    < OracleID, NYCATP1 >
    < PassThrough, 0 >
    < PermSize, 4000 >
    < PermWarnThreshold, 90 >
    < PrivateCommands, 0 >
    < Preallocate, 0 >
    < QueryThreshold, 0 >
    < RACCallback, 0 >
    < SQLQueryTimeout, 0 >
    < TempSize, 514 >
    < TempWarnThreshold, 90 >
    < Temporary, 1 >
    < TransparentLoad, 0 >
    < TypeMode, 0 >
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    ORACLE:
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    TABLESPACE TS_OS,
    PARTITION MV_US_DATAMART_07_DEC_D3 VALUES LESS THAN (TO_DATE(' 2008-01-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
    LOGGING
    NOCOMPRESS
    TABLESPACE TS_OS,
    PARTITION MV_US_DATAMART_08_JAN_D1 VALUES LESS THAN (TO_DATE(' 2008-01-11 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
    LOGGING
    NOCOMPRESS
    TABLESPACE TS_OS,
    PARTITION MV_US_DATAMART_08_JAN_D2 VALUES LESS THAN (TO_DATE(' 2008-01-21 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
    LOGGING
    NOCOMPRESS
    TABLESPACE TS_OS,
    PARTITION MV_US_DATAMART_08_JAN_D3 VALUES LESS THAN (TO_DATE(' 2008-02-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))
    LOGGING
    NOCOMPRESS
    TABLESPACE TS_OS,
    PARTITION MV_US_DATAMART_MAXVAL VALUES LESS THAN (MAXVALUE)
    LOGGING
    NOCOMPRESS
    TABLESPACE TS_OS
    NOCACHE
    NOCOMPRESS
    NOPARALLEL
    BUILD DEFERRED
    USING INDEX
    TABLESPACE TS_OS_INDEX
    REFRESH FAST ON DEMAND
    WITH PRIMARY KEY
    ENABLE QUERY REWRITE
    AS
    SELECT order_date, if_system,
    GROUPING_ID (order_date,
    if_system,
    business_dim_id,
    time_dim_id,
    account_dim_id,
    ordertype_dim_id,
    instr_dim_id,
    execution_dim_id,
    exec_exchange_dim_id
    ) GROUPING_ID,
    /* ============ DIMENSIONS ============ */
    time_dim_id, business_dim_id, account_dim_id, ordertype_dim_id,
    instr_dim_id, execution_dim_id, exec_exchange_dim_id,
    /* ============ MEASURES ============ */
    -- o.FX_RATE /* FX_RATE */,
    COUNT (*) no_orders,
    -- SUM(NO_ORDERS) NO_ORDERS,
    -- COUNT(NO_ORDERS) CNT_NO_ORDERS,
    SUM (filled_quantity) filled_quantity,
    COUNT (filled_quantity) cnt_filled_quantity, SUM (quantity) quantity,
    COUNT (quantity) cnt_quantity, SUM (commission) commission,
    COUNT (commission) cnt_commission, SUM (fills_number) fills_number,
    COUNT (fills_number) cnt_fills_number,
    SUM (aggressive_fills) aggressive_fills,
    COUNT (aggressive_fills) cnt_aggressive_fills,
    SUM (fx_rate * filled_quantity * average_price) notional,
    COUNT (fx_rate * filled_quantity * average_price) cnt_notional,
    SUM (fx_rate * fills_number * average_price) total_price,
    COUNT (fx_rate * fills_number * average_price) cnt_total_price,
    SUM (CASE
    WHEN order_status = 'C'
    THEN 1
    ELSE 0
    END) cancelled_orders_count,
    COUNT (CASE
    WHEN order_status = 'C'
    THEN 1
    ELSE 0
    END
    ) cnt_cancelled_orders_count,
    -- SUM(t.FX_RATE*t.NO_FILLS*t.AVG_PRICE) AVERAGE_PRICE,
    -- SUM(FILLS_NUMBER*AVERAGE_PRICE) STAGING_AVERAGE_PRICE,
    -- COUNT(FILLS_NUMBER*AVERAGE_PRICE) CNT_STAGING_AVERAGE_PRICE,
    SUM (routed_orders_no) routed_orders_no,
    COUNT (routed_orders_no) cnt_routed_orders_no,
    SUM (routed_liquidity_qty) routed_liquidity_qty,
    COUNT (routed_liquidity_qty) cnt_routed_liquidity_qty,
    SUM (removed_liquidity_qty) removed_liquidity_qty,
    COUNT (removed_liquidity_qty) cnt_removed_liquidity_qty,
    SUM (added_liquidity_qty) added_liquidity_qty,
    COUNT (added_liquidity_qty) cnt_added_liquidity_qty,
    SUM (agent_charges) agent_charges,
    COUNT (agent_charges) cnt_agent_charges,
    SUM (clearing_charges) clearing_charges,
    COUNT (clearing_charges) cnt_clearing_charges,
    SUM (execution_charges) execution_charges,
    COUNT (execution_charges) cnt_execution_charges,
    SUM (transaction_charges) transaction_charges,
    COUNT (transaction_charges) cnt_transaction_charges,
    SUM (order_management) order_management,
    COUNT (order_management) cnt_order_management,
    SUM (settlement_charges) settlement_charges,
    COUNT (settlement_charges) cnt_settlement_charges,
    SUM (recovered_agent) recovered_agent,
    COUNT (recovered_agent) cnt_recovered_agent,
    SUM (recovered_clearing) recovered_clearing,
    COUNT (recovered_clearing) cnt_recovered_clearing,
    SUM (recovered_execution) recovered_execution,
    COUNT (recovered_execution) cnt_recovered_execution,
    SUM (recovered_transaction) recovered_transaction,
    COUNT (recovered_transaction) cnt_recovered_transaction,
    SUM (recovered_ord_mgt) recovered_ord_mgt,
    COUNT (recovered_ord_mgt) cnt_recovered_ord_mgt,
    SUM (recovered_settlement) recovered_settlement,
    COUNT (recovered_settlement) cnt_recovered_settlement,
    SUM (client_agent) client_agent,
    COUNT (client_agent) cnt_client_agent,
    SUM (client_order_mgt) client_order_mgt,
    COUNT (client_order_mgt) cnt_client_order_mgt,
    SUM (client_exec) client_exec, COUNT (client_exec) cnt_client_exec,
    SUM (client_trans) client_trans,
    COUNT (client_trans) cnt_client_trans,
    SUM (client_clearing) client_clearing,
    COUNT (client_clearing) cnt_client_clearing,
    SUM (client_settle) client_settle,
    COUNT (client_settle) cnt_client_settle,
    SUM (chargeable_taxes) chargeable_taxes,
    COUNT (chargeable_taxes) cnt_chargeable_taxes,
    SUM (vendor_charge) vendor_charge,
    COUNT (vendor_charge) cnt_vendor_charge,
    SUM (routing_charges) routing_charges,
    COUNT (routing_charges) cnt_routing_charges,
    SUM (recovered_routing) recovered_routing,
    COUNT (recovered_routing) cnt_recovered_routing,
    SUM (client_routing) client_routing,
    COUNT (client_routing) cnt_client_routing,
    SUM (ticket_charges) ticket_charges,
    COUNT (ticket_charges) cnt_ticket_charges,
    SUM (recovered_ticket_charges) recovered_ticket_charges,
    COUNT (recovered_ticket_charges) cnt_recovered_ticket_charges
    FROM us_datamart_raw
    GROUP BY order_date,
    if_system,
    business_dim_id,
    time_dim_id,
    account_dim_id,
    ordertype_dim_id,
    instr_dim_id,
    execution_dim_id,
    exec_exchange_dim_id;
    -- Note: Index I_SNAP$_MV_US_DATAMART will be created automatically
    -- by Oracle with the associated materialized view.
    CREATE UNIQUE INDEX OS_OWNER.MV_US_DATAMART_UDX ON OS_OWNER.MV_US_DATAMART
    (ORDER_DATE, TIME_DIM_ID, BUSINESS_DIM_ID, ACCOUNT_DIM_ID, ORDERTYPE_DIM_ID,
    INSTR_DIM_ID, EXECUTION_DIM_ID, EXEC_EXCHANGE_DIM_ID)
    NOLOGGING
    NOPARALLEL
    COMPRESS 7;
    No of rows: 2228558
    The query (taken Mondrian) I run against each of them is:
    select sum("MV_US_DATAMART"."NOTIONAL") as "m0"
    --, sum("MV_US_DATAMART"."FILLED_QUANTITY") as "m1"
    --, sum("MV_US_DATAMART"."AGENT_CHARGES") as "m2"
    --, sum("MV_US_DATAMART"."CLEARING_CHARGES") as "m3"
    --, sum("MV_US_DATAMART"."EXECUTION_CHARGES") as "m4"
    --, sum("MV_US_DATAMART"."TRANSACTION_CHARGES") as "m5"
    --, sum("MV_US_DATAMART"."ROUTING_CHARGES") as "m6"
    --, sum("MV_US_DATAMART"."ORDER_MANAGEMENT") as "m7"
    --, sum("MV_US_DATAMART"."SETTLEMENT_CHARGES") as "m8"
    --, sum("MV_US_DATAMART"."COMMISSION") as "m9"
    --, sum("MV_US_DATAMART"."RECOVERED_AGENT") as "m10"
    --, sum("MV_US_DATAMART"."RECOVERED_CLEARING") as "m11"
    --,sum("MV_US_DATAMART"."RECOVERED_EXECUTION") as "m12"
    --,sum("MV_US_DATAMART"."RECOVERED_TRANSACTION") as "m13"
    --, sum("MV_US_DATAMART"."RECOVERED_ROUTING") as "m14"
    --, sum("MV_US_DATAMART"."RECOVERED_ORD_MGT") as "m15"
    --, sum("MV_US_DATAMART"."RECOVERED_SETTLEMENT") as "m16"
    --, sum("MV_US_DATAMART"."RECOVERED_TICKET_CHARGES") as "m17"
    --,sum("MV_US_DATAMART"."TICKET_CHARGES") as "m18"
    --, sum("MV_US_DATAMART"."VENDOR_CHARGE") as "m19"
              from "OS_OWNER"."MV_US_DATAMART" "MV_US_DATAMART"
    where I uncomment a column at a time and rerun. I improved the TimesTen results since my first post, by retyping the NUMBER columns to BINARY_FLOAT. The results I got were:
    No Columns     ORACLE     TimesTen     
    1     1.05     0.94     
    2     1.07     1.47     
    3     2.04     1.8     
    4     2.06     2.08     
    5     2.09     2.4     
    6     3.01     2.67     
    7     4.02     3.06     
    8     4.03     3.37     
    9     4.04     3.62     
    10     4.06     4.02     
    11     4.08     4.31     
    12     4.09     4.61     
    13     5.01     4.76     
    14     5.02     5.06     
    15     5.04     5.25     
    16     5.05     5.48     
    17     5.08     5.84     
    18     6     6.21     
    19     6.02     6.34     
    20     6.04     6.75

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