PK rX?oa,mimetypeapplication/epub+zipPK rX?iTunesMetadata.plist[ artistName Oracle Corporation book-info cover-image-hash 478201744 cover-image-path OEBPS/dcommon/oracle-small.JPG package-file-hash 803065797 publisher-unique-id E26097-01 unique-id 666257886 genre Oracle Documentation itemName Oracle® Database Migration Assistant for Unicode Guide, 11g Release 2 (11.2) releaseDate 2011-09-29T0:42:51Z year 2011 PKCH`[PK rX?META-INF/container.xml PKYuPK rX? OEBPS/toc.htmF? Table of Contents

Contents

Title and Copyright Information

Preface

1 Overview of Migrating Databases to Unicode

2 Getting Started with the DMU

3 Viewing and Setting Object Properties in the DMU

4 Performing Basic DMU Tasks

5 Advanced Topics in the DMU

6 Using the DMU to Cleanse Data

Glossary

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Displays:

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6 Using the DMU to Cleanse Data

This chapter provides a reference for elements of the user interface of the Database Migration Assistant for Unicode (DMU) used during cleansing and describes how to use them to perform various tasks.

This chapter contains the following sections:

In certain specific cases, two column properties allow you to ignore data issues as described in "Ignoring Convertibility Issues".

The cleansing actions can be immediate or scheduled. An immediate action is performed directly on the database contents and its effects are immediately visible. A scheduled cleansing action is registered in the migration repository and executed during the conversion step of the migration process. Therefore, the effects of a scheduled action are virtual until the conversion. The DMU accounts for scheduled actions when scanning the database for issues by presenting adjusted scan results under the heading "including effects of scheduled cleansing" or "scheduled".

Scheduled cleansing actions are defined in the Schedule Column Modification and Schedule Attribute Modification dialog boxes. All other cleansing actions are immediate.

Cleansing Data

The Cleansing Editor tab is the starting point of most cleansing actions on a table. You can open it by selecting Cleansing Editor from the context menu of a table node in the Navigator pane or in the Database Scan Report. The Cleansing Editor is not available for the data dictionary tables. The Cleansing Editor tab is shown in Figure 6-1.

The Cleansing Editor tab contains a toolbar, an editor grid, and two buttons, Save and Revert. The editor grid displays contents of the table for which the Cleansing Editor was opened. This table is called the edited table later in this guide. The columns of the grid correspond to character data type columns of the edited table and rows of the grid correspond to rows of the table.

The editor grid works in one of two selection modes: if you click a single cell, the cell is selected and the grid switches to the cell selection mode. Only one cell can be selected in this mode. The selected cell is called the current cell. If you click a column heading (containing the name of the column), the grid switches to the column selection mode and the clicked column becomes a selected column. You can add more columns to the selection by holding down the Ctrl key and clicking further column headings. Figure 6-1, "Cleansing Editor" shows the cell in the JOB_ID column of the 10th displayed table row selected as the current cell.

Cells in the grid are highlighted with specific colors to indicate identified data issues. See "Cleansing Data: Color Highlighting" for more information. Figure 6-1 shows the cell in the EMAIL column of the 10th displayed table row on light coral background to indicate an invalid representation issue and the cell in the LAST_NAME column of the same row on yellow background to indicate a column length issue.

You can let the Cleansing Editor filter out rows of the edited table so that only the rows relevant to your current cleansing activity are displayed in the editor grid. See "Database Scan Report: Filtering" for more information.

The Cleansing Editor enables you to start various cleansing actions on contents of the edited table. If you double-click a cell or you select Edit Data from the context menu of the current cell, the Edit Data dialog box is opened, displaying the value stored in the cell. You can edit the value, for example shortening it or removing illegal character codes, as described in "Editing Data". Edited values are not stored in the database until you click Save at the bottom of the Cleansing Editor tab. A value that has been edited is displayed using italic font face until it is saved permanently in the database. Figure 6-1 shows the cell in the FIRST_NAME column of the 10th displayed table row as modified and not yet saved. You can click Revert to recall all edit changes and revert cell values to current values from the database.

If you right-click a cell in the cell selection mode (which also makes the cell current) or you right-click a selected column in the column selection mode, a context menu appears that contains Modify Columns and Schedule Column Modification menu items. If the current cell or the selected columns correspond to attributes of a user-defined data type (ADT), the context menu contains Modify Attribute and Schedule Attribute Modification instead. If multiple columns are selected and they are not all of the same data type, none of the prior menu items is present in the context menu. Clicking one of the four menu items opens the corresponding dialog box described in "Modifying Columns", "Scheduling Column Modification", "Modifying Attributes", or "Scheduling Attribute Modification". These dialog boxes allow you to modify table structure to cleanse convertibility issues in one or more columns. The dialog boxes are not available for columns and attributes of the CLOB data type.

If you click the Modify Column or Schedule Column Modification menu item, the DMU displays a warning if it detects that the column to be modified belongs to one of the schemas comprising an Oracle e-Business Suite installation. Altering the structure of Oracle e-Business Suite tables is generally not supported. You can accept the warning and continue with modifications, if and only if the affected table is a custom table created by you or you have been advised to modify the table by Oracle Support.

Before modifying the structure of any table installed along with an Oracle or third-party product, ask the vendor for advice. Modification of such tables is usually not supported as it may cause the owning application to malfunction.

You can use the Cleansing Editor to change the character set that the DMU uses to interpret character codes contained in a column. See "Setting the Assumed Character Set".

Cleansing Data: Using the Toolbar

The items on the Cleansing Editor toolbar in the order shown in Figure 6-1, "Cleansing Editor" are:

  • Rescan Table

    Opens the Scan Wizard (see "Scanning the Database with the Scan Wizard") with only the edited table marked for scanning. This allows the edited table to be easily rescanned.

  • Rescan Selected Columns

    Opens the Scan Wizard with only the currently selected columns marked for scanning. This allows a set of edited table columns to be easily rescanned. If no columns are selected, that is, the editor grid is in the cell selection mode, the column containing the current cell is marked for rescanning.

  • Refresh Data

    Reloads the grid with the most current data from the edited table.

  • Select Columns to Show

    Displays a dialog box in which you can select the columns to include in the editor grid. To save screen space, you can deselect columns that have no issues themselves and that do not contain any data helpful in analysis of issues in other columns. You can also add a special read-only column to the grid that displays rowids of edited table rows. You can use the rowids to quickly locate relevant rows in other database tools, such as Oracle SQL Developer.

  • Show Impact of Scheduled Cleansing

    Highlights the effects of scheduled cleansing actions using a different color.

    See "Cleansing Data: Color Highlighting".

  • Use Collected Rowids to Filter Data

    Filters data using rowids collected during scanning.

    See "Filtering Data".

  • Customize Filtering Condition

    Displays a dialog box where you can customize the filtering condition. See "Filtering Data".

  • Filter drop-down list with the following choices:

    • All

    • Requiring Conversion

    • Exceeding Column Limits

    • Exceeding Data Type Limit

    • Invalid Binary Representation

    If you select one of the options other than All, the Cleansing Editor applies a filter to display only rows with the corresponding convertibility issues. See "Filtering Data".

  • Previous Cell with Issue

    Selects the previous cell with a convertibility issue as the current cell. The cell is searched for first in the preceding columns of the same row, and then in the preceding rows, from the last column to the first.

  • Next Cell with Issue

    Selects the next cell with a convertibility issue as the current cell. The cell is searched for first in the following columns of the same row, and then in the following rows, from the first column to the last.

  • Character Set drop-down list

    Contains character sets that you can select as assumed column character sets. See "Setting the Assumed Character Set".

Cleansing Data: Color Highlighting

Cells that contain data with convertibility issues are highlighted by using colors different from the standard colors of other cells. By default, cells with length issues, that is, exceeding column limit or exceeding data type limit after conversion, are displayed on yellow background. Cells with invalid binary representation issues, that is, containing character codes illegal in their declared (assumed) character set, are displayed on light coral background.

If an issue in a cell has been cleansed by a scheduled cleansing action, for example lengthening of the containing column, and the Show Impact of Scheduled Cleansing toolbar button is clicked, the cell background color changes to green, by default. An immediate cleansing action, such as editing a value, changing the assumed column character set, or modifying the column or attribute through a Modify Columns or Modify Attributes dialog box, permanently removes the issue, so that the previously affected cells become convertible and are no longer highlighted.

The preceding default colors can be customized on the Cleansing Editor page of the Preferences dialog box, as shown in Figure 6-2, "Preferences: Cleansing Editor". You can open the Preferences dialog box by selecting Preferences from the Tools menu. The first two choices are for cells with length issues, the next two are for cells with unconvertible data dictionary cells, the next two are for cells with invalid binary representation, and the last two are for cells with fixed migration issues. In addition, you can restore default setting by clicking on Restore Defaults.

Filtering Data

To make working with large tables easier, the Cleansing Editor tab provides a powerful filtering feature. You can filter rows included in the editor grid on the types of the convertibility issues that they contain or on an arbitrary SQL condition.

Filtering on Convertibility Status

You can select the types of convertibility issues to include from the Filter drop-down list on the Cleansing Editor toolbar. The choices are:

  • All

    This option switches off filtering on convertibility issues and causes rows with any contents to be included.

  • Requiring Conversion

    This option shows all rows that are not changeless, that is, one or more columns contain data that needs conversion and, optionally, has length expansion or invalid representation issues.

  • Exceeding Column Limits

    This option shows all rows in which one or more column values exceed their column limit after conversion.

  • Exceeding Data Type Limit

    This option shows all rows in which one or more column values exceed their data type limit after conversion.

  • Invalid Binary Representation

    This option shows all rows in which one or more columns contain invalid character codes.

The DMU can identify rows with a given type of convertibility issues by doing either of the following:

  • Looking at rowids collected in the migration repository by a previous scanning task.

  • Analyzing the column values as they are fetched from the database.

When only a small percentage of rows in the edited table has the type of convertibility issues to pass through the filter, the DMU might need to fetch and analyze many rows before it finds enough rows to fill the editor grid. This could negatively and significantly impact the speed of browsing through a large table when filtering is on. Locating rows by collected rowids is usually much faster. On the other hand, collected rowids correspond to the state of a table at the time of the last scan of the table. This state might already be stale because rows might have been added, updated, or deleted. Nevertheless, rescanning a large table with sparsely distributed issues periodically during a longer cleansing session is usually more convenient than trying to filter rows without using collected rowids.

You tell the DMU to use the collected rowids by clicking the Use Scan Log to Filter Data button on the toolbar of the Cleansing Editor. This button is enabled only if rowid collection was switched on during the last scan of the table. You can set the rowid collection level either on the Scanning subtab of the Table Properties tab (see "Table Properties: Scanning") or on the Scan Details page of the Scan Wizard (see "Scanning the Database with the Scan Wizard"). The setting on the Table Properties tab is persistent. The setting in the Scan Wizard is only for the current scan and overrides the value on the Table Properties tab. You can set the level to All to Convert or With Issues. The first option collects rowids for all rows that are not changeless. The second option collects rowids only for rows with issues, that is, exceeding column limit, exceeding data type limit, or having invalid binary representation. Use the first option if you plan to set the filter to Requiring Conversion. Use the second option if you plan to set the filter only to Exceeding Column Limit, Exceeding Data Type Limit, or Invalid Binary Representation.

Collecting rowids for all convertible rows might be very costly if many rows need conversion in the table, for example, because the table contains a CLOB column and the database character set is single-byte. Generally, use this option only for data dictionary tables to locate convertible data, which could prevent conversion. Rowids are collected per cell, so if a row contains multiple cells with data fitting the collection criteria, the rowid of the row is stored in multiple copies, each time with the ID of another column.

Filtering on SQL Condition

In addition to the filtering based on convertibility status of rows, you can specify an arbitrary SQL condition to be added to the query that the DMU sends to the database to retrieve data from the edited table. Specify the condition in the Custom Filtering Condition dialog box, shown in Figure 6-3, "Custom Filtering Condition". Open the dialog box by clicking on Customize Filtering Condition on the toolbar of the Cleansing Editor tab. Select the Custom SQL Condition option in the dialog box and enter the desired condition. Click Apply. The condition is applied to the table to create a subset of rows to fetch and then the filtering on convertibility issues is applied to this subset. To remove the filtering condition, reopen the Custom Filtering Condition dialog box, select the No Custom Filtering option and click Apply.

Setting the Assumed Character Set

A common source of data with invalid representation issues, as described in "Invalid Binary Storage Representation of Data", are applications that use the pass-through configuration to store data directly in the client character set without any conversion and without caring what the database character set is. The DMU helps you to identify such client character sets, the real character sets of the data, and use them as the source character set for conversion, if they are different from the database character set. This allows incorrectly stored data to be correct converted to the target Unicode encoding. The standard conversion from the database character set would corrupt the data and make it illegible. The declared character set of data in a column that you can select in the DMU is called the assumed column character set.

The assumed column character set is used not only for conversion to Unicode but also when column data is interpreted for display in the Cleansing Editor, Edit Data dialog box, or Show Data dialog box. The displayed data looks correctly to a human reader only if its interpretation happens according to its real character set or according to a binary superset of the real character set. Otherwise, displayed values contain unexpected characters or replacement characters. (Replacement characters are usually represented by rectangular shapes of the size of an uppercase letter. This representation is platform-dependent.) This fact lets you verify the assumed column character set has been chosen correctly, if all data in the column looks correct.

You might want to set the assumed character set of a column even if the column scan results report only convertible contents without issues. The reason being that data in a real character set that is different from the database character set might still consist of byte sequences that could be interpreted as valid in the database character set – even if this interpretation does not produce reasonable text. This is especially true for single-byte database character sets in which most byte values (0..255) have a valid character assigned in the character set definition. CL8MSWIN1251 is the prominent example, with only one byte value not assigned to any character.

You can identify the real character set of a column by doing either of the following:

  • Collecting the necessary information about the relevant application configuration, database clients, and client character sets (the preferred method)

  • Selecting successive character sets as the assumed character set of the column and verifying the correctness (legibility) of displayed text

The second method might be very useful if you know the language of the data, but not the specific character set used to encode it. For example, you know that text in a column is in Japanese but you do not know if it is encoded in EUC-JP (JA16EUC) or Shift-JIS (JA16SJIS).

To set the assumed character set of a column in the Cleansing Editor, select the column by clicking its heading and select the desired character set in the Character Set drop-down list on the toolbar, as shown in Figure 6-4, "Setting Assumed Column Character Set". The contents of the selected column will be redisplayed according to the new interpretation. Try another character set, if the data is illegible. Also, the color highlighting (see "Cleansing Data: Color Highlighting") will tell you if some bytes in the column cannot be interpreted according to the selected character set.

If you select multiple columns in the Cleansing Editor, you could set all of their assumed character sets to the same value at one time.

To save the selected assumed column character sets permanently in the migration repository for use in any further processing of the columns, click Save.

Viewing Data

The Data Viewer is a read-only version of the Cleansing Editor tab, described in "Cleansing Data: Using the Toolbar".

To view data:

  1. Select Data Viewer from the context menu of a data dictionary table node in the Navigator pane or in the Database Scan Report.

    The Data Viewer is not available for the standard application tables. It looks identical to the Cleansing Editor tab, shown in Figure 6-1, "Cleansing Editor", except that the button Show Impact of Scheduling Cleansing is disabled. There is no Save or Revert button. Also, the Edit Data, Modify Column, Schedule Column Modification, Modify Attribute, and Schedule Attribute Modification context menu items are not available. The Show Data menu item is available in place of Edit Data to open the Show Data dialog box, which is described in "Displaying Data". All viewing and filtering functionality of the Cleansing Editor is available in the Data Viewer. You can set the assumed character set of a column in the Data Viewer in order to analyze the real character set of column contents, but you cannot save this choice.

Editing Data

Open the Edit Data dialog box, shown in Figure 6-5, "Edit Data Dialog Box", by double-clicking a table cell in the Cleansing Editor or by selecting Edit Data from the context menu of the current cell. The value of the cell is shown in the main text area of the dialog box and can be edited by adding, changing, or deleting characters. If the value contains end-of-line characters (LF=0x0A), it will be displayed in multiple lines. The Wrap Lines check box determines how lines longer than the width of the text area are displayed. If the check box is selected, the dialog box wraps the long lines into multiple lines of the text area. If the check box is not selected, the lines are not wrapped and the dialog box shows a horizontal scroll bar to let you scroll the text area.

The Edit Data dialog box shows the following data about the text value being edited:

When editing a value, you must always ensure that Data Length in Bytes is not greater than Current Column Limit in Bytes and that Data Length in Characters is not greater than Current Column Limit in Characters (if specified). To resolve the "exceeds column limit" issue for the value, you must also ensure that Post-Conversion Length in Bytes is not greater than Post-Conversion Limit in Bytes.

Characters that cause the current value to exceed its Post-Conversion Limit in Bytes are shown on yellow background. This lets you quickly estimate how much a value must be truncated to resolve the "exceeds column limit" issue.

In the bottom right, the edited text is displayed as a sequence of hexadecimal numbers corresponding to bytes that comprise (encode) the text when it is stored in the database.

By looking at numeric values of bytes comprising the edited text you can:

  • Identify binary values, such as images or encryption results, stored invalidly in a character column

    Such values usually contain some bytes from ranges 0x00 to 0x08 and 0x10 to 0x1f. Because bytes in these ranges are control codes rarely used today, values containing such bytes are almost never pure text values.

  • Identify corrupted characters

    If you see replacement characters in the edited text in the text, you can view the binary display to analyze particular bytes corresponding to these characters. By identifying the language of the data and looking at definitions of character sets valid for this language, you can diagnose the issue as an incorrect character set of data or as corrupted character codes, that is, bytes missing from multibyte codes or random bytes resulting from software bugs or hardware malfunction.

You can insert, modify, or delete bytes in the edited value to fix corruption issues. Click a byte to make it current. Right-click anywhere in the edit area to open the context menu. Select Insert to add a byte before the current one. Select Delete to remove the current byte from the value. Select Modify to change the value of the current byte. Double-clicking a byte is equivalent to selecting it as current and selecting Modify.

After making all your intended modifications in the Edit Data dialog box, click OK to accept them and to close the dialog box. Click Cancel, if you want to close the dialog box and discard the modifications. After accepting the modifications, you still have to click Save on the Cleansing Editor tab to save them in the database.

Displaying Data

The Show Data dialog box is a read-only version of the Edit Data dialog box. It is used to display values in the data dictionary tables, which you are not allowed to modify directly.

As in the Edit Data dialog box, you can view the data in text form or in binary form. You can also wrap or unwrap long lines.

Modifying Columns

The cleansing actions that you can perform using the Modify Columns dialog box are immediate changes to column definitions (metadata) of a table. The Modify Columns dialog box is shown in Figure 6-6. You can open it by selecting Modify Column from the context menu of the Cleansing Editor (see "Cleansing Data: Using the Toolbar").

Columns that will be modified through the Modify Columns dialog box are displayed in the Columns list box. The Dependencies list box shows database objects, such as views and PL/SQL procedures, that depend on those columns and could therefore need updating or recompilation after the columns are altered.

In the Modify Columns dialog box, you can command the following cleansing actions on the columns:

  • Migrate to Character Semantics

    You can change the length semantics of the columns from byte to character. If a column to be modified is defined as VARCHAR2(n BYTE), it will become VARCHAR2(n CHAR). Such modification solves "exceed column limit" issues because a n BYTE column never contains more than n characters and the underlying byte length limit of an n CHAR column is automatically increased when the database character set changes to accommodate any string of the length n characters (but only up to the data type limit; that is, values reported as "exceed data type limit" will not fit).

  • Lengthen to:

    You can choose to lengthen the columns to a new limit, which you specify in the edit field that follows the option label. You can change the length semantics between bytes and characters at the same time by choosing the desired semantics from the following drop-down list. To solve "exceed column limit" issues, specify a limit that is greater than maximum post-conversion lengths reported for all the columns.

  • Migrate to:

    You can migrate some data types to a new data type. A CHAR column can be migrated to VARCHAR2, CLOB, or RAW. A VARCHAR2 column can be migrated to CLOB or RAW. A LONG column can be migrated to LONG RAW or CLOB. If you choose migration to CLOB, a properties dialog box is available that enables you to modify the tablespace and storage properties of the new CLOB segment. If you choose migration to RAW or VARCHAR2, you can specify the new length limit, provided it is not smaller than any of the byte length limits of the columns to be migrated. If you choose migration to VARCHAR2, you can specify the length semantics in addition to the new length. Migration to VARCHAR2 or CLOB solves the "exceed data type limit" issues, because the new data types are larger than the old ones. Migration to RAW or LONG RAW solves the "invalid binary representation" issues caused by binary data stored in character columns by ensuring that the data is indeed treated as binary by the database.

    Migrations to VARCHAR2, RAW, and LONG RAW are metadata-only operations and are therefore very fast. Migration to CLOB requires data to be updated in all rows of the table. It could, therefore, be very resource-consuming for large tables and it might fail, if enough undo space is not available in the database.

After you have defined the cleansing action, click Apply. You are asked to confirm that you indeed want to modify the columns immediately. Click Yes and the appropriate SQL DDL statements are sent to the database for immediate execution.

Scheduling Column Modification

The Schedule Column Modification dialog box is almost identical to the Modify Columns dialog box, described previously. The two differences are:

  • The cleansing actions specified in this dialog box are scheduled actions. They are not executed immediately when you select Apply. Instead, they are saved in the migration repository and are executed in the conversion step of the character set migration process. This enables you to synchronize any necessary application upgrades related to changes in table structure with the database conversion.

  • The additional No Modification option is available. It enables you to recall a previously scheduled cleansing action before the database conversion starts.

To schedule column modification:

  1. Open the Schedule Column Modification dialog box by selecting Schedule Column Modification from the context menu of the Cleansing Editor (see "Cleansing Data: Using the Toolbar"). The Schedule Column Modification dialog box appears, as illustrated in Figure 6-17, "Schedule Column Modification: Lengthen the Column Size".

Modifying Attributes

The cleansing actions that you can perform using the Modify Attributes dialog box are immediate changes to attributes of user-defined object types (ADT). A change to an object attribute affects all tables that reference that attribute. You must use the Modify Attributes dialog box to change table columns that store object attribute values. The Modify Columns dialog box is not available for such columns.

Attributes that will be modified through the Modify Attributes dialog box are displayed in the Attributes list box. The Dependencies list box shows database objects, such as tables, views and PL/SQL procedures, that depend on those attributes and could therefore need updating or recompilation after the attributes are altered.

At present, you can define only one cleansing action in the Modify Attributes dialog box, which is to lengthen the attributes to a new limit. You specify the limit in the edit field. You can change the length semantics between bytes and characters at the same time by choosing the desired semantics from the following drop-down list. To solve "exceed column limit" issues, specify a limit that is greater than maximum post-conversion lengths reported for all columns storing values of the attributes in all tables in the database.

To modify attributes:

  1. Select Modify Attribute from the context menu of the Cleansing Editor (see "Cleansing Data: Using the Toolbar"). The Modify Attributes dialog box appears, as is illustrated in Figure 6-7.

  2. After you have defined the cleansing action, click Modify.

  3. You are asked to confirm that you indeed want to modify the attributes immediately. Click Yes and the appropriate SQL DDL statements are sent to the database for immediate execution.

Scheduling Attribute Modification

The Schedule Attribute Modification dialog box is almost identical to the Modify Attributes dialog box, previously described. The two differences are:

  • The cleansing action specified in this dialog box is a scheduled action. It is not executed immediately when you select Save. Instead, it is saved in the migration repository and is executed in the conversion step of the character set migration process. This enables you to synchronize any necessary application upgrades related to changes in table structure with the database conversion.

  • The additional No Modification option is available. It enables you to recall a previously scheduled cleansing action before the database conversion starts.

You can open the Schedule Attribute Modification dialog box by selecting Schedule Attribute Modification from the context menu of the Cleansing Editor (see "Cleansing Data: Using the Toolbar").

Ignoring Convertibility Issues

While not strictly cleansing actions, two column properties allow you to handle convertibility issues reported in a column. You can set these properties in the Converting subtab of the Column Properties tab, described in "Viewing and Setting Column Properties".

The first property is called Allow Conversion of Data with Issues. If you set this column property to Yes, any convertibility issues reported for the column are ignored. That is, they do not prevent you from starting the conversion step. The column undergoes the conversion to Unicode and the resulting values are automatically truncated to fit into the column. Invalid character codes are converted to replacement characters. This option is useful if you encounter some convertibility issues in auxiliary or historical data that you do not require to be fully correct after conversion, and that you do not want to remove from the database yet.

The second property is called Exclude from Conversion. If you set this column property to Yes, the column is skipped in the conversion step. Column values remain identical to what they were before character set migration. This option is useful to prevent conversion of a column that:

Convertibility issues reported in columns marked for exclusion from conversion do not prevent you from starting the conversion step. See "Excluding Columns and Tables From Migration" for more information about setting this property.

Bulk Cleansing

You can alter the length semantics of CHAR and VARCHAR2 table columns from byte semantics to character semantics in bulk.

Character semantics is useful for defining the storage requirements for multibyte strings of varying widths. For example, in a Unicode database (AL32UTF8), suppose that you need to define a VARCHAR2 column that can store up to five Chinese characters together with five English characters. Using byte semantics, this column requires 15 bytes for the Chinese characters, which are three bytes long, and 5 bytes for the English characters, which are one byte long, for a total of 20 bytes. Using character semantics, the column requires 10 characters. Character semantics allows the specification of the column size in terms of characters independent of the database character set. The benefits of using character length semantics in Unicode migration are further described in "Changing the Length Semantics".

You can define bulk cleansing actions in either the immediate or scheduled cleansing mode. In the scheduled mode, the bulk cleansing actions will be applied during the conversion phase without any interruption to the production environment. When the DMU is used in validation mode, only the immediate bulk cleansing actions will be available.

Bulk cleansing supports the migration of the following data type columns to character length semantics:

The following columns are excluded:

As in regular cleansing, bulk cleansing does not support character length semantics migration for Oracle-supplied schemas, such as Oracle e-Business Suite schemas.

To bulk cleanse data:

  1. Under the Migration menu, select Bulk Cleansing. A dialog, such asFigure 6-8, "Bulk Cleansing Wizard - Welcome", appears.

  2. Click Next and Figure 6-9, "Bulk Cleansing Wizard - Object Selection" appears.

  3. Select the objects to be migrated to character length semantics. The Data Type and Scheduled Cleansing Action columns show the current data types of the columns and any existing scheduled cleansing actions. Objects that are already in character length semantics or objects that are not supported for character length semantics migration are not selectable in the navigator tree. Click Next and Figure 6-10, "Bulk Cleansing Wizard - Parameters" appears.

  4. Select the execution mode for bulk cleansing. For the scheduled cleansing mode, you can select how to handle columns with previously scheduled cleansing actions by either keeping the previously scheduled actions or override them and migrate the columns to character length semantics. Click Next and Figure 6-11, "Bulk Cleansing Wizard - Details" appears.

  5. The Bulk Cleansing Details page displays a list of the table columns and type attributes that will be migrated to character length semantics. To confirm and start the bulk cleansing operations, click Finish. Figure 6-12, "Bulk Cleansing Progress" appears.

    You can monitor the status of the bulk cleansing on the Bulk Cleansing Progress panel. If an operation fails on a table column or a type attribute during the process, you can highlight the entry to see the error message in the Status column as well as at the bottom of the panel. To view only the entries with errors, select the "Show Only Errors" check box at the top.

Cleansing Scenario 1: A Database with No Issues

If there are no issues with data in your database, the Scan Report resemble what is shown in Figure 6-13, "Database Scan Report: No Data Issues".

The report column Need No Change (Scheduled) shows the number of character column values (cells) in the database that are already valid in the target Unicode character set. This means that these cells are either null or they contain only ASCII characters (except when the migration is from UTF8 to AL32UTF8, in which case the characters might be other valid UTF-8 codes from the Basic Multilingual Plane of Unicode.). The report column Need Conversion (Scheduled) shows the number of character cells that need conversion to become Unicode but whose conversion will not cause any errors or data loss.

The report columns Invalid Representation (Scheduled), Over Column Limit (Scheduled), and Over Type Limit (Scheduled) show zero, which means that the database content has no convertibility issues. The green OK icon to the left of the database node means the same thing. If the Migration Status tab shows no other issues in the database (see "Following the Status of the Migration") you can proceed to the actual conversion phase of the migration process, which is described in "Converting the Database".

Cleansing Scenario 2: Cleansing Expansion Issues

If there are expansion issues with data in your database, the Scan Report will resemble what is shown in Figure 6-14, "Database Scan Report: Expansion Issues". In addition to the columns Need No Change (Scheduled) and Need Conversion (Scheduled), described in "Cleansing Scenario 1: A Database with No Issues", the columns Over Column Limit (Scheduled) and Over Type Limit (Scheduled) contain nonzero values. A yellow triangle icon next to the database node signals convertibility issues with the data.

After conversion to the target character set, the cells classified as Over Column Limit (Scheduled) will no longer fit into their columns unless the columns are lengthened. The cells classified as Over Type Limit (Scheduled) will become longer than the limit of their data types. The lengthening of their columns will not help.

You can expand the object tree in the Name column to locate which schemas, which tables in those schemas, and which columns in those tables contain the problematic cells. The yellow triangle icons show which nodes to expand. The columns Over Column Limit (Scheduled) and Over Type Limit (Scheduled) show for each schema, table, and column how many problematic cells are in the corresponding database object.

You can also reduce the amount of information on the Scan Report tab and let the DMU show scan results only for columns that have issues. To do this, click the filter drop-down list to open it, as shown in Figure 6-15, "Filtering Scan Results". Select the option With Some Issues to see all database columns with data issues or the option With Length Issues to see only columns that have data expansion issues discussed in this section.

The non-zero counter values for Over Column Limit (Scheduled) and Over Type Limit (Scheduled) cells at the table and column level are active links. If you click a counter, it will open the Cleansing Editor tab in the client pane of the DMU window, as shown in Figure 6-16, "Cleansing Editor Tab: Expansion Issues". Another way to open this tab is to right-click the table node in the Navigator pane or the Scan Report tree and then select Cleansing Editor.

The Cleansing Editor tab shows the contents of the table for which it was opened. By default, the data cells that have length expansion issues are shown on a yellow background. You can change this color in the Preferences dialog box, which can be opened by selecting Preferences from the Tools menu.

Various filtering and search features of the Cleansing Editor can help you locate the problematic data cells. See "Filtering Data" for more information about these features.

With the Cleansing Editor tab open, you can now try to cleanse the reported expansion issues as described in the following sections.

Repeat the cleansing process for all tables with issues reported by the DMU. As soon as no more issues are reported in either the Scan Report or the Migration Status tab, you can start the conversion phase, described in "Converting the Database".

Over Column Limit Issues

To cleanse the Over Column Limit issues in a column, you have the following options:

  • Lengthen the column.

  • Change the length semantics of the column from bytes to characters.

  • Shorten the stored values manually.

  • Allow the DMU to truncate the values during conversion.

  • Edit the value to replace characters that expand in conversion.

  • Migrate to a larger data type.

The choice of cleansing action depends mainly on your ability to modify applications accessing the cleansed table. If you are unable to modify applications, for example, because they are not developed in your company, then you usually cannot lengthen a column, change its length semantics, or migrate to another data type, because all these actions require modifications to the application code to adapt buffer sizes or data access methods to the changed column data types.

Lengthening a Column

Lengthening a column is the most efficient way to deal with "over column limit" issues, if applications accessing the column either adapt to the increased length automatically or require only a few manual changes in a few well-defined places in code.

To lengthen a column:

  1. To lengthen a column, right-click any cell of the column in the Cleansing Editor to open the context menu. In the menu, select either Schedule Column Modification or Modify Column. The former opens the Schedule Column Modification dialog box, shown in Figure 6-17, "Schedule Column Modification: Lengthen the Column Size". The latter opens the Modify Column dialog box, which looks almost the same, except that it does not include the Exclude From Conversion and No Modification options.

  2. The Schedule Column Modification dialog box lets you define a scheduled cleansing action on a column, which is to be performed only during the actual conversion phase of the migration process. The action is saved in the migration repository and applied to the table just before or while the table is converted. The table is not modified before that time and defining the action does not disturb the current processing in the database. New application versions adapted to the change need to be installed only at the time of conversion.

    If you prefer the cleansing action to be performed immediately, use the Modify Column dialog box. After you click Apply in this dialog box, the DMU immediately sends the appropriate SQL DLL statements to the database. The resulting modification cannot be rolled back.

    To lengthen a column in the Schedule Column Modification or in the Modify Column dialog box, select Lengthen to and enter a new length value that is equal to or higher than the maximum length of all post-conversion values in the column. The maximum post-conversion length is reported on the Scanning subtab of the Column Properties tab. See "Scanning the Database" in the "Column Properties" section.

    When lengthening a column, leave the drop-down list set to "Bytes". Click Apply.

Changing the Length Semantics

Changing the length semantics of a VARCHAR2 or CHAR column from bytes to characters is a special form of lengthening the column. By changing the length semantics of a column, you tell the database to constrain values stored in the column to a given number of characters and not to a given number of bytes that comprise the encoding of these characters. The length constraint becomes independent of the character set. The database sets the implicit byte limit of each character length semantics column to the maximum possible byte length of a character value that has the declared maximum number of characters. This implicit byte limit is equal to the maximum number of characters multiplied by the maximum number of bytes in a character code in the database character set.

The number of characters does not change in conversion from one character set to another (with the exception of conversion of supplementary Unicode characters from ZHT16HKSCS31 to surrogate pairs in UTF8). Therefore, because the number of characters fitting into n bytes is not greater than n, if a column length constraint is changed from n bytes to n characters, then all column values comply with this new constraint after database character set conversion. The implicit byte limit is automatically adjusted by the database character set change. One caveat is that the maximum length of a character value is still restricted by the byte limit of its data type: 4000 bytes for VARCHAR2 and 2000 bytes for CHAR. Values that exceed this limit after conversion are classified as Over Type Limit. The handling of such values is described in "Handling Over Type Limit Issues".

Choose migration to character length semantics over lengthening a column if, when adapting your applications to process Unicode, you make them manage character value limits in characters and not bytes.

To change length semantics:

To change the length semantics of a column, follow the previous steps described in "Lengthening a Column" to open either the Schedule Column Modification or Modify Column dialog box.

  1. First, instead of selecting Lengthen to, select Migrate to Character Semantics.

  2. Although not usually necessary, you can migrate a column to character length semantics and at the same time make the declared maximum number of characters greater than the current declared maximum number of bytes. To do so, select Lengthen to, enter the new character limit for the column into the adjacent text field, and select Characters from the drop-down list.

  3. Click Apply.

Shortening Character Values Manually

If the column data types cannot be altered, you must modify the stored character values so that they do not expand over the column length limit in conversion to the target character set. There are three ways to do this:

  • Shorten the values manually.

  • Let the DMU shorten the values during conversion.

  • Replace some expanding characters with non-expanding equivalents.

Manual shortening of values requires that the number of cells with the Over Column Limit issue is small enough so that the operation can be completed within a reasonable time. Manual shortening of values gives you the best control over the cleansing results, but it is very time-consuming. Shortening values is not a feasible cleansing action for data that has precisely defined contents, such as family names.

To shorten a character value manually:

  1. To shorten a character value in a given cell, which is marked with a yellow background in the Cleansing Editor, double-click the cell or right-click it and select Edit Data from the context menu. The Edit Data dialog box that contains the value to be edited is displayed, as shown in Figure 6-18, "Edit Data Dialog Box".

    In the Edit Data dialog box, the trailing part of the character value being edited that causes the value to exceed the maximum column length after conversion is marked with a yellow background. Therefore, delete characters from the value until no yellow background is visible. You can also compare the number shown in Post-Conversion Length in Bytes with the number shown in Post-Conversion Limit in Bytes and delete characters until the first number is smaller than or equal to the second number.

  2. After you are ready with the changes, click OK to accept the new value and close the dialog box. The new value is displayed in the Cleansing Editor but it is not yet stored in the database. You can now edit further cells. If you want to store the new values permanently in the database, click Save on the Cleansing Editor tab. You can reverse any edit changes made since the last save by clicking Revert.

Editing values is always an immediate cleansing action. You cannot schedule manual editing changes to be applied only during conversion.

Migrating to a Larger Data Type

Migration of a column data type is not required if the column does not contain values that exceed the data type limit. But if such values are expected in the future, you can choose to migrate the column data type to a larger one. The choices are:

  • Migrate a CHAR column to VARCHAR2.

  • Migrate a CHAR column to CLOB.

  • Migrate a VARCHAR2 column to CLOB.

  • Migrate a LONG column to CLOB.

The DMU does not support migration to the deprecated LONG data type.

Migration of column data types usually requires code changes to adapt applications to the comparison and padding semantics difference between CHAR and VARCHAR2, or to different ways of fetching CLOB values.

To migrate the data type of a column:

  1. To migrate the data type of a column, open either the Schedule Column Modification dialog box or the Modify Column dialog box for this column, as described in "Lengthening a Column". Then, select Migrate to and select the target data type from the adjacent drop-down list. If the target data type is VARCHAR2, enter the desired target length and length semantics. If the target data type is CLOB, click Properties to open the CLOB Properties dialog box. You can enter storage parameters for the CLOB segment in this dialog box. See Oracle Database SQL Reference for information about the available options. Click Apply to close the dialog box and save the parameters.

  2. Click Apply in the Schedule Column Modification or Modify Column dialog box to accept the defined cleansing action. If you chose to migrate the data type immediately by using the Modify Column dialog box and the migration is to the CLOB data type, the following processing might take a long time depending on the amount of column data to migrate.

The migration from CHAR to VARCHAR2 does not remove trailing blanks from the CHAR values. If you want to remove the blanks, use a database tool, such as Oracle SQL Developer, and issue an UPDATE SQL statement with the RTRIM function.

Cleansing Scenario 3: Cleansing Invalid Representation Issues

If there are invalid representation issues with data in your database, the Scan Report resembles what is shown in "Overview of the Database Scan Report", but in addition to or in place of the report columns Over Column Limit (Scheduled) and Over Type Limit (Scheduled), the report column Invalid Representation (Scheduled) contains nonzero values. A yellow triangle icon next to the database node signals convertibility issues with the data.

Analogously to how columns with length expansion issues are located in the Scan Report, you can locate columns containing cells with invalid binary representation issues. See "Scanning the Database" for more details.

Invalid binary representation issue in a cell value means that the value is not valid in its assumed (declared) character set, which is by default the database character set. Some bytes in the value do not form a valid character code in the declared character set.

There are three possible reasons for a value to have invalid binary representation:

See "Invalid Binary Storage Representation of Data" for a description of the pass-through configuration.

To analyze which of the three possible reasons caused invalid binary representation data to appear in a given column, open the Cleansing Editor tab for this column by clicking the nonzero Invalid Representation (Scheduled) counter value for the column. When you click the counter value, the DMU opens the Cleansing Editor tab in the client pane of the DMU window, as shown in Figure 6-19, "Cleansing Editor Tab: Invalid Binary Representation Issues". Another way to open this tab is to right-click the table node in the Navigator pane or the Scan Report tree and to select Cleansing Editor.

Various filtering and search features of the Cleansing Editor can help you locate the problematic data cells. See "Cleansing Data" for more information about these features.

By default, the data cells that have invalid binary representation issues are shown on a light coral background. You can change this color in the Preferences dialog box, which can be opened by selecting Preferences from the Tools menu.

As in the case of expansion issues, you can double-click a cell with invalid binary representation issues to open the Edit Data dialog box, as shown in Figure 6-18, "Edit Data Dialog Box".

In the Edit Data dialog box, you can view the binary data by looking in the bottom-right pane. The bytes comprising the edited value are displayed as 2-digit hexadecimal numbers, as shown in Figure 6-20, "Edit Data Dialog Box: Viewing Binary Data".

With the Cleansing Editor tab and the Edit Data dialog box open, you can now try to identify the reason for invalid binary representation issues and cleanse the issues as described in the following sections. The considerations discussed in "Refreshing Scan Results" and "Revoking Scheduled Cleansing Actions" apply to the cleansing of invalid binary representation issues as well.

Repeat the cleansing process for all tables with issues reported by the DMU. When no more issues are reported in either the Scan Report or the Migration Status tab, you can proceed to the conversion phase, described in "Converting the Database".

Cleansing Binary Values in Character Columns

In the bottom-right of the Edit Data dialog box, you can recognize binary values stored incorrectly in a character column because such values show as garbage in the bottom left of the dialog box. In the binary display, if the dialog box shows a lot of bytes in the ranges 0x00 to 0x08 and 0x10 to 0x1f, the value is binary. These bytes come up in character values very seldom because they correspond to ASCII control codes with only historical importance.

A binary value can also be recognized by a very long series of a single byte (other than the ASCII code for a space or the ASCII code for any character commonly used to draw separator lines, such as minus, plus, underscore, equal sign, or period).

To cleanse the invalid binary representation issues for a column storing binary values, migrate the data type of the column to RAW or LONG RAW. The DMU does not support migration to BLOB. The migration to RAW is supported for CHAR columns and for VARCHAR2 columns up to 2000 bytes in length. The migration to LONG RAW is supported for LONG columns.

To migrate a column to a binary type:

  1. To migrate a column to a binary data type, right-click any cell of the column in the Cleansing Editor. The context menu is displayed.

  2. In the menu, select either Schedule Column Modification or Modify Column. The former opens the Schedule Column Modification dialog box; the latter opens the Modify Column dialog box. The difference between these dialog boxes and the difference between associated cleansing modes – scheduled versus immediate – are described in "Lengthening a Column".

  3. In the opened dialog box (see Figure 6-17, "Schedule Column Modification: Lengthen the Column Size"), select Migrate to, and from the adjacent drop-down list, select the target data type. If the target data type is RAW, enter the desired length of the column in bytes. The length must be equal to or greater than the maximum byte length of any value in the column to be migrated.

  4. Click Apply.

Cleansing Incorrect Character Set Declaration

If the binary view in the Edit Data dialog box does not reveal any byte patterns characteristic for binary data, the edited value is most probably character data in an incorrectly used character set. If in doubt, consult application developers or application administrators and identify the source and type of information stored in the analyzed column.

To correct incorrect character set declarations:

  1. To identify the actual character set of data in the column, select the column in the Cleansing Editor and repeatedly change the selected value in the Character Set drop-down list, until all values in the column are legible. See Figure 6-21, "Assumed Column Character Set". To save time, apply the knowledge gathered before starting the migration, as recommended in "Review Your Preparations for Migration", to restrict the character sets to only those that can possibly be used by any data source of the database (clients, input files).

    If none of the attempted character sets makes all values in the column appear to display correctly, but each of the values does seem to be correct in one of the character sets, the column contains a mixture of data in different character sets. Such issues must be resolved outside of the DMU.

  2. After you identify the correct character set, assign it permanently to the column by clicking Save in the Cleansing Editor tab. Then, rescan the column. No more invalid representation issues should be reported for the column.

PK,\\PK rX? OEBPS/toc.ncx 0 Oracle® Database Migration Assistant for Unicode Guide, 11g Release 2 (11.2) Cover Table of Contents Oracle Database Migration Assistant for Unicode Guide, Release 1.1 Preface Overview of Migrating Databases to Unicode Getting Started with the DMU Viewing and Setting Object Properties in the DMU Performing Basic DMU Tasks Advanced Topics in the DMU Using the DMU to Cleanse Data Glossary Copyright PK&Q PK rX?OEBPS/ch2migrasteps.htm Getting Started with the DMU

2 Getting Started with the DMU

This chapter introduces the Database Migration Assistant for Unicode (DMU) and describes the basic workflow of migrating a character set using this utility.

This chapter contains the following sections:

Using the Database Migration Assistant for Unicode: A Roadmap

This section provides an overview of the tasks involved in working with the DMU.

To work with the Database Migration Assistant for Unicode:

  1. Review the requirements.

    Ensure that your environment meets the requirements to work successfully with the DMU.

    See "Overview of Database Requirements", "Overview of Java Runtime Requirements", and "Overview of DMU Security Considerations".

  2. Perform basic preparatory tasks, such as installing the DMU, reviewing the main user interface, creating a database connection, reviewing the user interface, and installing the DMU repository.

    See "Installing the DMU", "Creating a Database Connection", "Installing the Migration Repository", and "Introduction to the DMU User Interface".

  3. Scan the database to discover any possible problems that could prevent a successful migration to Unicode.

    See "Scanning the Database".

  4. Cleanse the database of the possible problems that you discovered during the scanning phase.

    See "Cleansing the Data".

  5. Convert the database to Unicode.

    See "Converting the Database".

  6. Validate the database to verify that the character set is now Unicode and contains no exceptional data.

    See "Validating Data as Unicode".

Introduction to the DMU Interface and Navigation

From the DMU home page, you can perform the basic tasks associated with migrating a database to Unicode.

DMU Home Page

This is the page that loads when you click the DMU icon. See "Introduction to the DMU User Interface".

Online Help

You can access context-sensitive online help by clicking the Help link displayed at the top of every page. On any help page, click Help or press the F1 key.

Navigation

Navigational features of the DMU include the following:

Overview of Requirements and Security Considerations

This section describes requirements and restrictions you should consider when using the Database Migration Assistant for Unicode, as well as the first steps you must take to start the utility.

Overview of Database Requirements

A database must meet certain requirements to be supported by the DMU. These requirements are:

  • The release of Oracle Database must be 10.2.0.4, 10.2.0.5, 11.1.0.7, 11.2.0.1, or later. Check the latest version of the DMU release notes for any additional patches that must be installed in the database. The release notes also list further database releases that are supported with appropriate patches.

  • The database character set must be ASCII-based, so, for example, databases running on the EBCDIC-based platforms IBM z/OS and Fujitsu BS2000 are not supported.

  • The SYS.DBMS_DUMA_INTERNAL package must be installed in the database.

    This package is available as part of the database installation. It must be created manually by running the script ?/rdbms/admin/prvtdumi.plb from the Oracle home of the database. You must log in as SYSDBA to run the script.

  • Oracle Database Vault must be disabled before starting the migration process, because DMU has not been certified to work with it enabled.

  • The database must be opened in read/write mode.

Additional requirements pertain to databases that the DMU should convert. Without meeting these requirements, the DMU can still be used for scanning and cleansing the database. These requirements are:

  • All database objects, including objects created by standard PL/SQL packages, such as DBMS_RULE, DBMS_DATA_MINING, or DBMS_WM, must be named using only standard characters from the ASCII character set. In other words, the data dictionary of the database cannot contain non-ASCII characters except in a few selected tables.

  • No OLAP analytical workspaces, other than predefined system workspaces and certain predefined Oracle Applications workspaces, can exist in the database.

  • No flashback data archives can exist in the database.

  • No data to be converted can reside in a read-only or offline tablespace.

  • Neither cluster key columns nor partitioning key columns can be defined with character length semantics.

  • No convertible data can be present in tables in the recycle bin.

  • No convertible data can be present in a reference partitioning key column.

Overview of Java Runtime Requirements

The Java JDK 1.6 or later must be available on the host running the DMU. The DMU will ask for the location of the Java Runtime executable file (java.exe or java, depending on the platform) the first time it is started.

From the Java SE download page on http://www.oracle.com, you can download the newest Java JDK for Linux, Solaris, and Microsoft Windows operating systems for Intel x86, Intel x64, Intel Itanium, and SPARC processors. Look for the installation instructions for your platform on the relevant Oracle Technology Network documentation page at http://www.oracle.com/technetwork/java/javase/downloads/index.html.

For other platforms, such as Hewlett-Packard HP/US or IBM AIX, visit the vendor's website.

Overview of DMU Security Considerations

This release of the Database Migration Assistant for Unicode requires that the database users connecting to a database have the SYSDBA privilege.

As such, a user should not grant any privileges for the migration repository database objects to any other database users. This applies to any object with a name starting with DUM$ or DBMS_DUMA.

If the DMU is installed on a shared workstation or on a server, you ensure that only the owning operating system user can modify the installed files. This security measure prevents malicious users from modifying the executable files to take advantage of the fact that the DMU connects to a database with the SYSDBA privilege. The modified utility could compromise the database security by running unexpected SQL statements with administrative privileges.

Review Your Preparations for Migration

Before you start the migration process, collect the following information about your database and its use by applications to help you set up the DMU properly:

  • Is your database supported by the DMU?

    Verify that the version of your database software is supported by the DMU as described in "Overview of Database Requirements". The platform on which the database is installed must be ASCII-based (that is, not IBM z/OS or Fujitsu BS2000). Your database must not have Oracle Database Vault installed.

  • What is the target character set?

    You have to decide if the target character set of the migration is AL32UTF8 or UTF8. Oracle recommends AL32UTF8, which is a proper implementation of the UTF-8 encoding form of the Unicode Standard. The DMU supports migration to the older character set UTF8 for databases that must support database client software based on Oracle 8i Client libraries, or that must support applications certified with UTF8 but not with AL32UTF8, for example, Oracle Applications Release 11i. The UTF8 character set, despite its name, is an implementation of the CESU-8 compatibility encoding form of the Unicode Standard. CESU-8 is very similar to UTF-8 except for the way the supplementary characters are stored (that is, characters with Unicode code points U+010000 and higher). Oracle does not generally update the definition of UTF8 to synchronize it with the newest versions of the Unicode Standard, while Oracle does update the definition of AL32UTF8.

  • Which languages and character sets can be stored in the database?

    The very nature of character set encodings and the very nature of character storage in an Oracle database make it impossible to automatically and precisely recognize what language in what character set is represented by a given sequence of bytes in a column value. The DMU scanning process can tell if there are bytes in a character value that are invalid in the declared character set of this value, but not more. If almost all bytes of the declared character set are assigned to single-byte codes of some characters, such as the case of CL8MSWIN1251, which defines all bytes except 0x98, then virtually any sequence of bytes declared as encoded in this character set will appear as valid to the scanning process. Therefore, even if an application uses the pass-through configuration to store data in the database that it interprets in a character set different from the database character set (see "Invalid Binary Storage Representation of Data") the DMU might not see any invalid codes and it might not signal the mismatch between the real (application) character set of the data and the declared database character set. Hence, it is very important that you research, for example, by asking application developers and administrators, what languages or character sets are most probably stored in your database. This will help you to manually analyze the contents of the database, if necessary, to supplement the automatic analysis by the DMU.

  • Which columns might contain data in foreign languages?

    If your database contains data mainly in one language and only a few table columns might contain other languages, for example foreign customer names and street addresses, a list of all such columns facilitates the manual search for invalid data stored in the pass-through configuration, if the existence of such data becomes probable after analysis of the information gathered in the previous list item.

  • Which character columns might contain binary data?

    Some applications might connect to your database in the pass-through configuration and use character columns to store data that is binary in nature, such as text encrypted without using the Transparent Data Encryption feature of the database, images, text in a binary format of a word processor, and so on. Obtain a list of those applications from application developers or administrators to further help you analyze the contents of your database.

    See "Cleansing Scenario 3: Cleansing Invalid Representation Issues" for information about resolving invalid binary representation issues using the collected information.

  • What is the real character set of your database?

    Determine if the character data in your database is actually to be interpreted in a particular common character set of the clients connecting to database and not in the declared database character set. To improve the effectiveness and accuracy of the analysis that you perform with the help of the DMU to verify that the database can be converted to Unicode.

    One way to determine if the real character set of your database differs from the declared database character set is to look for the following characteristics:

    • The database (declared) character set is US7ASCII, or WE8ISO8859P1, or WE8ISO8859P15.

    • The client character set, declared in the NLS_LANG client setting, is the same as the database character set. If the NLS_LANG is not specified at all, the client character set defaults to US7ASCII. NLS_LANG affects only C or C++ clients connecting through an OCI API. Java clients connecting through a JDBC API are always UTF8 clients.

    • All database client software runs on the Microsoft Windows platform and works in one of the Windows character sets, which are also known as ANSI Code Pages. This character set depends on the language version of Windows: WE8MSWIN1252 – US and Western European versions, EE8MSWIN1250 – Central European versions (for example, Polish), CL8MSWIN1251 – Cyrillic versions (for example, Russian), AR8MSWIN1256 – Arabic version, and so on.

    This Microsoft Windows character set common to all clients is the real database character set that was to be identified.

    If your database is used in a correct character set configuration, that is, the NLS_LANG setting always correctly corresponds to the real character set of the database clients, the real character set of the database is its declared character set.

  • What is the connection information for your database?

    To migrate a database with the DMU, you must have the SYSDBA privilege and the required connection credentials (user name and password). You need to know the host name or IP address of the database server, the port number on which the database listener listens for connection requests, and the service name of the database. For performance reasons, Oracle recommends that you connect to a service that is configured for dedicated connections, that is, not using the Shared Server feature.

After you have collected the preceding information, you can install the DMU.


See Also:

Oracle Database Security Guide for further security considerations

Performing First Tasks With the DMU

The basic introductory steps are:

Installing the DMU

Before installing the DMU, always download the current release notes available for the DMU version you are using. Oracle recommends that the DMU be run on the database server host or on a workstation connected to the database server host with a fast and reliable local area network.

To install the DMU:

The DMU does not come with an installer. Install the utility by uncompressing the installation file into a directory of your choice.

  1. To install the DMU, uncompress the downloaded archive file to any directory on the host on which you want to run the DMU.

  2. After you have uncompressed the archive file, ensure that the DMU files are writable only to you and other authorized operating system users. This is very important because unprivileged users with access to the DMU host could modify the DMU files to make the DMU execute arbitrary SQL statements when the DMU is later started with SYSDBA credentials. Such SQL statements could compromise database security.

  3. After you have installed the DMU, initialize the database for the migration process with the DMU.

Creating a Database Connection

You must create a connection to the database that you want to analyze or migrate.

To create a database connection:

  1. Before you can start migrating a database with the DMU, you must provide database connection details to the tool. To do this, right-click the Databases node in the Navigator pane to open the context menu, or open the File menu from the menu bar, and select New Database Connection. The Create Database Connection dialog box, shown in Figure 2-1 is displayed. In this dialog, enter connection details, such as login ID, password, host name, port number, and the database service name.

    Figure 2-1 Creating a Database Connection

    Description of Figure 2-1 follows

  2. Enter the following information to define a connection:

    • Connection Name

      Give a descriptive name to the connection so that you can easily identify to which database the DMU is connected.

    • User Name

      Specify a database user name to use for authentication with the database. In this release, DMU requires the user to have the SYSDBA privilege.

    • Password

      Specify the password for the database user.

    • Role

      In this DMU release, only the SYSDBA role is supported.

    • Host Name

      Specify the DNS name or the IP address of the database host.

    • Port

      Specify the TCP/IP port on which the Net Services (TNS) listener listens for database connection requests.

    • Service Name

      Specify the service name of the database instance to which you want to connect.

    If you select the Save Password check box, the password you specify will be saved along with other connection details in an obfuscated form in a configuration file in your user directory. Because obfuscation is a reversible operation, use this feature only for passwords to test databases with no production data or only on very well protected hosts. Ensure that the configuration files storing your preferences and connection information are readable only by you. On Unix platforms, the files are in the directory $HOME/.dmu/. On Microsoft Windows, the files are in the directory %USERPROFILE%\Application Data\DMU\. Otherwise, you risk compromising the security of your database. If you deselect the Save Password check box, you will be prompted for the password each time you open the connection.

You can test the connection by clicking Test Connection. If the connection can be established, the Status box will show "Success". Otherwise, it will show an error message describing the connection problem. You can create the connection and close the dialog box by clicking Save.

After a connection has been created, a new database node with the name of the connection is added to the Navigator pane. You can open the node, that is, connect to the database, by right-clicking it and choosing Connect from the context menu. Only one connection can be open in the DMU at the same time, thus the DMU will ask you for permission to close any currently open connection before it will open a new one.

You can change the details of an existing connection, such as user name or host name, by right-clicking the corresponding database node and choosing Connection Details from the context menu. The Modify Database Connection dialog box that is shown has the same elements as the Create Database Connection dialog box.

You can rename a connection by selecting Rename Connection or delete a connection by selecting Delete from the context menu of the corresponding database node. The Connection Details, Rename Connection, and Delete menu items are available in the context menu of a database node only if the node is not currently connected.

Installing the Migration Repository

The DMU uses a repository to manage the information necessary for each step of the migration. Repository contents include items such as objects to be processed, details on data that had an error flagged, and the progress of a scan or a conversion. For any database without a migration repository, an automatic repository creation wizard begins each time you connect to that database. You can also start the wizard from the DMU user interface.

To install the Migration Repository:

  1. If you connect to a database for the first time, the DMU automatically prompts you to install the repository. If you are not prompted to install the repository, you can install it by right-clicking the database you want to use, and selecting Configure DMU Repository. You can also select Configure DMU Repository from the Migration menu. In all of these cases, the Repository Configuration Wizard appears. Figure 2-2 shows how it appears.

    Figure 2-2 Repository Configuration Wizard - Select Task

    Description of Figure 2-2 follows

  2. On the first page of the wizard, the only choice available is Install the repository in migration mode. After selecting this, click Next.

    After you click Next, the second page of the Repository Configuration Wizard is shown. Figure 2-3, "Repository Configuration Wizard - Task Details" is an example of this page.

    Figure 2-3 Repository Configuration Wizard - Task Details

    Description of Figure 2-3 follows

  3. Here, you select the target character set for the migration. You can choose between AL32UTF8, the normally recommended character set, and UTF8, which might be required for compatibility with certain applications, such as Oracle Applications 11i. After selecting the character set, click Next. Figure 2-4, "Repository Configuration Wizard - Select Tablespace" appears.

    Figure 2-4 Repository Configuration Wizard - Select Tablespace

    Description of Figure 2-4 follows

  4. On the third page, you can select the tablespace in which you want to install the repository. The default tablespace is SYSAUX. Oracle recommends that a separate, empty tablespace be used for the migration repository. This helps to avoid fragmentation of the production tablespaces. Ensure that the amount of free space available in the chosen tablespace is sufficient to hold the repository contents. Because the amount of space required by the repository heavily depends on the rowid collection level you choose for scanning and the amount of character data in the database that requires conversion or has convertibility issues, the space required by the repository is difficult to estimate. Therefore, Oracle recommends that you enable the autoextend option on the data files of the repository tablespace to allow the tablespace to grow, if necessary. Define the maximum size constraints for the data files to avoid exhausting the entire disk space.

    Click Finish to install the repository.

After you have the repository installed, you can begin working on the data.

Following the Status of the Migration

After a database connection has been established, the Migration Status tab is displayed in the Client pane of the DMU main window. You can follow the progress of the migration process by looking at the information on this tab. This tab shows the important milestones in the DMU process: installing the repository, scanning the database for problems, resolving any problems encountered, and then converting the data. The Migration Status tab shows the completion status of each milestone, suggests a next action, and lists issues that prevented a successful conversion. All this information indicates the progress in the workflow. Return to the Migration Status tab periodically to enable the Database Migration Assistant for Unicode to guide you through the migration process.

An example of Migration Status tab content is shown in Figure 2-5. The Migration Status tab describes each of the four main steps of the migration: installation of the migration repository, scanning of the database, resolution of migration issues, and conversion of the database. The tab shows the status of each of the steps and suggests the next action to take. You can click the More links to open help pages that expand the presented information.

The Status area of the section "Step 1: Install Migration Repository" informs you if the connected database contains a migration repository. It can also report that the installed repository is in an incompatible version. Until the repository is installed in the correct version, you cannot proceed to the following steps of the migration process. Follow the advice given in the Next Action area. If the text in this area is a link, click the link to start the recommended action. See "Installing the Migration Repository".

The Status area of the section "Step 2: Scan the Database" reports the scan status of the database. The database might be in any of the following conditions:

  • Not yet scanned – no scan has been executed yet after the migration repository has been created

  • Being scanned – a scan is running in the database just now

  • Partially scanned – only part of the database has been scanned

  • Entirely scanned5jʕ – all tables in the database have valid scan results

  • Contained invalidated results – scanning results for some tables have been invalidated because the table structure has been modified since the last scan

If the database has not been entirely scanned, see "Scanning the Database" and scan all those tables that have missing or invalid scan results.

Figure 2-5 Migration Status Tab

Description of Figure 2-5 follows

The information presented in the Status area of the "Step 3: Resolve Migration Issues" section might contain a list of issues that must be resolved before you can start the actual conversion of the database content. Click the plus icon to the left of the text "Unresolved convertibility issues found" to see the issues. The issues are classified as warnings and blocking issues.

Warnings, marked with a yellow color, describe features and configuration details of the database that might cause problems during conversion in some situations and not cause any problems in other situations. The DMU is not able to automatically analyze the probability of these problems to arise. Some warnings describe configuration details of the database that might decrease the performance of the database conversion, but which the DMU cannot change itself because of the possible side effects. You might see the following warnings:

  • User-defined OLAP analytical workspaces are present in the database.

  • The database is a standby database.

  • There are external tables with convertible data in the database.

  • There are convertible primary key-based object identifiers (OIDs) in the database.

  • The current setting rules out the CTAS conversion method for tables with row movement disabled.

  • Turning off the FORCE LOGGING mode of the database or tablespaces might improve conversion performance, though at the expense of the ability to perform media recovery.

  • The conversion of some partitioned tables might fail due to error ORA-14402, because the tables do not have the row movement option enabled.

  • Some tables have been excluded from conversion.

  • Convertibility issues in some of the columns will be ignored and the columns will be converted despite the resulting data.

You can choose to ignore some of the warnings and start the conversion, but ensure that you understand all the implications.

Blocking issues, marked with red color, are issues that prevent the DMU to enter the conversion phase. They are known to cause problems in the database, if ignored. You must resolve all blocking issues before you can proceed with converting the database. After all issues are resolved, the Status area for the "Step 3: Resolve Migration Issues" section shows "No unresolved convertibility issue found" and proceeding to the conversion is considered safe.

The Status area of the section "Step 4: Convert Database" informs you if the database conversion has ready been started and, later, if it has already finished successfully.

To view the status of a migration:

  1. Click the Migration Status tab in the Client pane.

  2. If you have modified the database outside of the DMU to resolve some of the convertibility issues, click Retest to let the DMU recheck the database and update the status information.

  3. To reopen the tab at any time, select Migration Status Panel from the Migration menu.

Introduction to the DMU User Interface

The default layout of the main window of the DMU user interface is shown in Figure 2-6. The window contains a menu bar and a toolbar at the top, and a status bar at the bottom. The remaining area of the window is divided into panes.

The Navigator pane in the top left-hand part of the window shows a tree of database objects on which the DMU operates. The first level of nodes in the tree represents databases to which the DMU can connect. Only one of the database nodes can be associated with an open connection. For further information about connections, see "Creating a Database Connection".

A database node with a currently open connection can be expanded to a subtree of schemas, tables, and columns contained in the database that are relevant to the migration process. Relevant columns are columns that contain character data and might, therefore, require character set conversion when migrated to the Unicode character set. Due to differences in the way the DMU processes them, predefined Oracle schemas comprising the data dictionary are grouped together and displayed separately under the Data Dictionary group node. Remaining schemas are displayed under the Application Schemas group node. Similarly, tables in a schema are grouped into materialized views, under the Materialized Views group node, and other tables, under the Tables group node.

A status icon might be displayed to the left of a node name in the Navigator tree. Table 2-1 shows the possible icons and their meanings for particular node types.

The Client pane in the upper right-hand part of the window is an area in which various tabs are opened in the process of migration. These tabs display object properties, scanning results, cleansing tools, and progress status of tasks. All the tabs are described in the remaining sections of this chapter. When you start the DMU, before a database connection is made, the client pane contains only the Start page, which is a collection of links to various sources of information about the DMU.

The Properties pane in the bottom left-hand part of the window displays selected properties of the most recently clicked node in the Navigator pane or in the Database Scan Report (see "Scanning the Database"). The properties displayed depend on the type of node.

The Log pane in the lower right-hand part of the window displays error and warning messages reported by the DMU during the course of the migration process.

Figure 2-6 DMU User Interface

Description of Figure 2-6 follows

You can customize the layout of the main DMU window by dragging panes and tabs to new positions, but the customized layout is not preserved across program runs.

Table 2-1 Database Migration Assistant for Unicode Icons

Icon Column Node Table, Schema, Database, and Grouping Nodes

No icon

The column has never been scanned.

No column in the table/schema/database/group has ever been scanned.

Check mark

Description of dumag001f.gif follows

The column has been successfully scanned and no issues have been found.

All columns in the table/schema/database/group have been successfully scanned and no issues have been found.

Red circle with a white X

Description of dumag001d.gif follows

The last attempt to scan the column failed.

A recent attempt to scan one or more columns of the table/schema/database/group failed.

Warning triangle in yellow

Description of dumag001a.gif follows

The column has been successfully scanned, but some convertibility issues have been found.

All columns in the table/schema/database/ group have either been successfully scanned, or they have never been scanned or their scan results have been invalidated; some convertibility issues have been found in the scanned columns.

Round red circle with diagonal line

Description of dumag001e.gif follows

The column has been previously scanned, but the scan results have been invalidated due to the containing table being altered or a cleansing action being applied.

One or more columns in the table/schema/database/group have had their scan results invalidated while all other columns in this table/schema/database/group have never been scanned.

Magnifying glass

Description of dumag001b.gif follows

Not applicable.

Some columns in the table/schema/database/ group have been successfully scanned, and no issues have been found, but other columns have never been scanned or their scan results have been invalidated.

Moving magnifying glass

Description of dumag001c.gif follows

The column is being scanned; this status overrides all other statuses.

One or more columns in the table/schema/ database/group are being scanned; this status overrides all other statuses.


Overview of Data Preparation

Data preparation ensures that no database data to be migrated will cause problems during or after the actual conversion. The elements of data preparation are scanning and cleansing.

Data Preparation: Scanning

In this step, tables are scanned for problems of various kinds. This scanning assesses the feasibility of migrating the data to Unicode. The most common types of problems are with your data, including issues such as values expanding during conversion beyond column or data type limits, data in a mislabeled character set, or binary data stored in character data types.

During scanning, the DMU reads specified character columns and performs a test conversion of each column value to the target character set, AL32UTF8 or UTF8. Depending on the result of this conversion, the DMU classifies data as follows:

  • Need no conversion

    The data is fine, because the binary representation of the data does not change in the conversion.

  • Need conversion

    The data must be converted, because the binary representation of the data does change, but no other data issues have been found.

  • Invalid binary representation

    The binary representation of the data is invalid under the current database character set. If you do the conversion in this state, the resulting data will usually not make sense to applications and users.

  • Exceed column limit

    The data will not fit into a column after migration.

  • Exceed data type limit

    The data will exceed a data type limit after migration.

Each column value is assigned to only one of the above categories. Values that have invalid binary representation are classified only as such even if their lengths exceed column or data type limit after conversion. As conversion of invalid character codes usually yields the default replacement character, which has a three-byte representation in AL32UTF8 and UTF8, the length expansion issues are not rare among values with invalid representation. Because the DMU let you ignore invalid representation issues and force conversion of a column (see "Ignoring Convertibility Issues"), you should be aware that forcefully converted values with invalid binary representation may be additionally truncated. You can compare the value of the Maximum Post-Conversion Length property of the column with the column and data type length limits to see if the truncation will take place. See "Column Properties: Scanning" for more information about the property.

After you have run a scan, the DMU creates a Database Scan Report, which can be found under the Migration drop-down menu. This scan report shows the statistics for the current data under each of the preceding categories. The counts of values are presented for each character data type column, and also summed up at the table, schema, and database levels. The scan report enables you to filter and customize the output, for example, so that only columns with selected potential problems such as exceeding the column limit are displayed.

In addition, you can use the report to iteratively go through the steps of taking the data that is not clean, reviewing this data in the Cleansing Editor, fixing the data, either immediately or at your convenience later, and rescanning to verify that the data is now clean.

You can perform scans on the following objects:

  • All tables in the database

  • All tables in the data dictionary of a database

  • All application schema tables in a database

  • All tables in an application schema

  • A table column in an application schema

  • An arbitrary set of application schema tables and columns in a database


See Also:

"Scanning the Database" for details

It is important to remember that, as mentioned in "Overview of Character Set Migration Considerations", there are certain data issues that cannot be discovered automatically. For example, the DMU does not analyze character data in binary data types. Also, some single-byte character sets define almost all byte values as valid codes. For example, the only byte value that is not a valid CL8MSWIN1251 character code is 0x98. Therefore, the test conversion during a scan might not show invalid binary representation problems, if the incorrectly stored data happens not to contain any of the undefined byte values. Even if the database scan reports no issues, collect and analyze information about use of the database by applications and try to identify these types of hidden problems before attempting the database conversion. Creating a test copy of the database, migrating it to Unicode, and thoroughly testing it with your applications is also a way to discover many problems.

Data Preparation: Cleansing

In this step, the data in tables is cleaned based on identified issues. You can define cleansing actions for immediate or for delayed execution (immediate versus scheduled cleansing mode). Certain types of cleansing can be done in a production environment with no side effects to applications, but there are other cleansing operations that involve metadata changes and require applications to be adapted to these changes. The scheduled mode enables you to define a cleansing action at any time but delay its execution to the conversion phase of the migration process. This is usually the most convenient moment to introduce metadata changes because the database is not used in production and new application versions can be easily deployed at the same time.

Immediate changes to metadata are defined in the Modify Column and Modify Attribute dialog boxes. Scheduled changes are defined in the Schedule Column Modification and Schedule Attribute Modification dialog boxes. All these dialog boxes can be invoked from the context menu of a column or attribute in the Cleansing Editor. Immediate editing changes of user data are performed directly in the Cleansing Editor.

In the immediate mode, any change entered is performed immediately after an appropriate Save button is selected. In this case, all SQL statements are issued to the database and the transaction is committed.

In the scheduled mode, clicking Save puts the cleansing action into the DMU repository. The corresponding statements are executed during the conversion step. You can change the scheduled action or remove it, provided the conversion step has not yet been started, by reopening the Schedule Column Modification or Schedule Attribute Modification dialog box and selecting No Modification.

You apply the editing changes performed in the Cleansing Editor on table data to the database by clicking Save on the Cleansing Editor tab. You can revert the changes that have not yet been saved by clicking the Revert button.

The Cleansing Editor can also be used to set the assumed character set of a column. This property tells the DMU to interpret the contents of the column in a character set different from the database character set. The selected character set is applied to the test conversion during scanning, actual conversion occurs in the conversion step, and the set is used to interpret data for display in the Cleansing Editor. If column data in the Cleansing Editor is not legible, the character set of the column might be selected incorrectly.

After cleansing, rescan the database to verify that your changes have successfully handled the potential problems. This is an iterative process where you scan and cleanse until there are no more conversion issues before you proceed to the conversion phase.

Overview of Data Conversion

The data conversion phase is where the actual modification of the database contents occurs. After the conversion is complete, the database character set will be Unicode. The conversion consists of the following steps:

Preparing the Conversion

When you tell the DMU to start the conversion phase by selecting Convert Database in the Migration menu, the DMU first executes a conversion feasibility test. This test checks that:

  • All database convertibility requirements listed in "Overview of Database Requirements" are met

  • All data in the database has been scanned and has valid scan results

    Cleansing actions might invalidate scan results, so cleansed tables might need to be rescanned.

  • No data in the database has binary representation or length issues

If the test succeeds, the DMU presents a plan for conversion. This plan shows all SQL statements that will be executed to convert the database, including statements to handle auxiliary objects, such as indexes, constraints, and triggers. You can customize the plan as desired. There are various database-level and table-level options that can be used to influence the way DMU converts the database. For example, you can set the conversion method for a given table or the number of processes participating in the conversion step. The conversion plan is generated and displayed in the Conversion Progress tab. You can then modify the available options by clicking Edit Table Conversion Plan or Edit Database Conversion Parameters.

Converting Data

The next step is to actually convert the data into Unicode. You accept the conversion plan and initiate the conversion by clicking the Convert button on the Conversion Progress tab. The DMU repeats the conversion feasibility test to ensure that no issues have been introduced while you worked on the conversion plan. It verifies also that no other sessions are connected to the database and that the database is mounted in exclusive mode. Then, the DMU begins to migrate the data, executing the statements from the conversion plan.

You can monitor the conversion progress on the Conversion Progress tab.

As an overview, the process the DMU uses to convert data is:

  1. Put the database into restricted mode.

  2. Disable various job queue processes.

  3. Drop or disable selected indexes.

  4. Disable selected triggers and constraints.

  5. Convert the data in user tables and in selected data dictionary tables to Unicode.

  6. Convert CLOB columns in the data dictionary.

  7. Issue the ALTER DATABASE CHARACTER SET statement.

  8. Enable triggers and constraints; and re-create indexes and constraints.

  9. Restore the database instance parameters.

The conversion of a table is performed either by updating its columns with an UPDATE statement or by converting the columns while re-creating the table using the CREATE TABLE AS SELECT statement. The re-creation of a table is faster that an update if most of the table rows must be converted.

After the conversion has finished, the DMU will re-create or reenable any objects that were dropped or disabled earlier. You can check that no errors have been generated by looking at the Log pane.


See Also:

"Converting the Database" for more information about the conversion GUI

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