How to disable nested loop option on a 10gR2 OLAP environment?

is it possible to disable nested loop option on a 10gR2 OLAP environment? There are some thousands of automatically generated report queries and whenever a join is needed we want to force hash join if possible(equality) or sort merge but never nested loop. optimizer sometimes can go for NL because of broken ETL, last steps as collecting statistics can not be finished successfully before the users start to do their reporting.
of course looking for a global parameter and do not want to hint each and every possible report query :)
thank you.

In general, connections that use a thin (type 4) JDBC driver will bypass the tnsnames.ora and sqlnet.ora files because they don't need those files to exist. One of the primary benefit of the type 4 JDBC drivers is that the Java code's connection string is fully specified in Java and doesn't depend on configuration files outside the JVM. So I wouldn't be surprised that any Java-based application could use the EZConnect syntax.
It is not obvious to me, though, why EZConnect would bypass any SSL tunnel that you had established. Assuming that you've instructed your client to send all traffic on a particular port going to a particular IP address to use a tunnel, I'm not sure why (or how) EZConnect syntax would bypass that. I would tend to expect that the problem was with the SSL tunnel configuration but perhaps I'm missing something on the network side.
Justin

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           werks = itb_ekpo-werks BINARY SEARCH.
        CHECK sy-subrc = 0.
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    Hi
    these are the performance tips
    Instead of using nested Select loops it is often better to use subqueries.
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      WHERE CITYFROM = 'FRANKFURT'
        AND CITYTO = 'NEW YORK'.
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    3.     A dynamic key access is slower than a static one, since the key specification must be evaluated at runtime.
    4.     A binary search using secondary index takes considerably less time.
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    6.     Modifying selected components using “ MODIFY itab …TRANSPORTING f1 f2.. “ accelerates the task of updating  a line of an internal table.
    Point # 2
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    READ TABLE ITAB INTO WA WITH KEY K = 'X'.
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    9.    "APPEND LINES OF itab1 TO itab2" accelerates the task of appending a table to another table considerably as compared to “ LOOP-APPEND-ENDLOOP.”
    10.   “DELETE ADJACENT DUPLICATES“ accelerates the task of deleting duplicate entries considerably as compared to “ READ-LOOP-DELETE-ENDLOOP”.
    11.   "DELETE itab FROM ... TO ..." accelerates the task of deleting a sequence of lines considerably as compared to “  DO -DELETE-ENDDO”.
    Point # 7
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    e.g,
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    Point # 8
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    Point # 9
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    Point # 10
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    Point # 11
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      DELETE ITAB INDEX 450.
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    12.   Copying internal tables by using “ITAB2[ ] = ITAB1[ ]” as compared to “LOOP-APPEND-ENDLOOP”.
    13.   Specify the sort key as restrictively as possible to run the program faster.
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    1.     For single read access hashed tables are more optimized as compared to sorted tables.
    2.      For partial sequential access sorted tables are more optimized as compared to hashed tables
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