JDBC with Spring slow metadata fetch Oracle

Question

I am using the Spring JdbcUtils.extractDatabaseMetaData() method to analyze the database. The function calls a callback and hands over a DatabaseMetaData object. This object provides the getColumns(String catalog, String schemaPattern, String tableNamePattern, String columnNamePattern).

I call it like this getColumns("",TABLE_OWNER_USERNAME,null,null) and get 400 columns as a result. These are exactly the results that I want, but the request takes over 1 minute.

Can I somehow optimize this query to be fast? Pulling 400 rows should happen in 1 seconds and not one minute.

EDIT: I don't suspect the Spring part being slow. Closer analysis showed that fetching the DatabaseMetaData takes a few seconds butexecuting the getColumns() takes really long.

Answer 1

Maybe it's a better approach to query ALL_TAB_COLUMNS. Here is an example:

public final List<Column> getColumnsByOwner(final String owner) {
    final String sql = "SELECT COLUMN_NAME, DATA_TYPE, DATA_LENGTH, "
            + " DATA_PRECISION, DATA_SCALE, NULLABLE, DATA_DEFAULT"
            + " FROM ALL_TAB_COLUMNS"
            + " WHERE OWNER = ? ORDER BY COLUMN_ID";

    return jdbcTemplate.query(sql,
            new Object[] { owner },
            new RowMapper<Column>() {
                @Override
                public Column mapRow(final ResultSet res, final int rowNum)
                        throws SQLException {
                    final Column reg = new Column();

                    reg.setColumnName(res.getString("COLUMN_NAME"));
                    //Read other properties
                    reg.setNullable(res.getString("NULLABLE").equals("Y"));
                    return reg;
                }
            });
}

If you need to filter by table simply add " AND TABLE_NAME = ?" to sql and tableName as another parameter.

Hope it helps.

Answer 2

Having reverse engineered the actually communications between client and server I can reveal that Oracle's DatabaseMetaData.getColumns() methods sends the following SQL query (though this may change with ODBC driver versions and settings):

    declare
    in_owner varchar2(128);
    in_name varchar2(128);
    in_column varchar2(128);
    xyzzy SYS_REFCURSOR;
    begin
    in_owner := :1;  // Which resolves to the schema (user) name supplied
    in_name := :2;   // Which resolves to the table name supplied
    in_column := :3; // Which gets set to '%';
    open xyzzy for
    SELECT NULL AS table_cat,
        t.owner AS table_schem,
        t.table_name AS table_name,
        t.column_name AS column_name,
    DECODE(  (SELECT a.typecode
        FROM ALL_TYPES A
        WHERE a.type_name = t.data_type),
    'OBJECT', 2002,
    'COLLECTION', 2003,
    DECODE(substr(t.data_type, 1, 9),
        'TIMESTAMP',
        DECODE(substr(t.data_type, 10, 1),
            '(',
            DECODE(substr(t.data_type, 19, 5),
                'LOCAL', -102, 'TIME ', -101, 93),
            DECODE(substr(t.data_type, 16, 5),
            'LOCAL', -102, 'TIME ', -101, 93)),
        'INTERVAL ',
        DECODE(substr(t.data_type, 10, 3),
        'DAY', -104, 'YEA', -103),
        DECODE(t.data_type,
        'BINARY_DOUBLE', 101,
        'BINARY_FLOAT', 100,
        'BFILE', -13,
        'BLOB', 2004,
        'CHAR', 1,
        'CLOB', 2005,
        'COLLECTION', 2003,
        'DATE', 93,
        'FLOAT', 6,
        'LONG', -1,
        'LONG RAW', -4,
        'NCHAR', -15,
        'NCLOB', 2011,
        'NUMBER', 2,
        'NVARCHAR', -9,
        'NVARCHAR2', -9,
        'OBJECT', 2002,
        'OPAQUE/XMLTYPE', 2009,
        'RAW', -3,
        'REF', 2006,
        'ROWID', -8,
        'SQLXML', 2009,
        'UROWI', -8,
        'VARCHAR2', 12,
        'VARRAY', 2003,
        'XMLTYPE', 2009,
        1111)))
    AS data_type,
        t.data_type AS type_name,
        DECODE (t.data_precision, null,
            DECODE(t.data_type, 'NUMBER',
                DECODE(t.data_scale, null, 0 , 38),
                    DECODE (t.data_type, 'CHAR', t.char_length, 'VARCHAR', t.char_length, 'VARCHAR2', t.char_length, 'NVARCHAR2', t.char_length, 'NCHAR', t.char_length, 'NUMBER', 0, t.data_length) ), t.data_precision)
        AS column_size,
        0 AS buffer_length,
        DECODE (t.data_type, 'NUMBER', DECODE(t.data_precision, null, DECODE(t.data_scale, null, -127 , t.data_scale), t.data_scale), t.data_scale) AS decimal_digits,
        10 AS num_prec_radix,
        DECODE (t.nullable, 'N', 0, 1) AS nullable,
        NULL AS remarks,
        t.data_default AS column_def,
        0 AS sql_data_type,
        0 AS sql_datetime_sub,
        t.data_length AS char_octet_length,
        t.column_id AS ordinal_position,
        DECODE (t.nullable, 'N', 'NO', 'YES') AS is_nullable,
        null as SCOPE_CATALOG,
        null as SCOPE_SCHEMA,
        null as SCOPE_TABLE,
        null as SOURCE_DATA_TYPE,
        'NO' as IS_AUTOINCREMENT,
        t.virtual_column as IS_GENERATEDCOLUMN
    FROM all_tab_cols t
    WHERE t.owner LIKE in_owner ESCAPE '/'
    AND t.table_name LIKE in_name ESCAPE '/'
    AND t.column_name LIKE in_column ESCAPE '/'
    AND t.user_generated = 'YES'
    ORDER BY table_schem, table_name, ordinal_position;
    end;

You can appreciate why that might be a bit slow, especially as the ALL_TAB_COLS and ALL_TYPES tables can each be 1000's of records long. Nevertheless while Oracle struggles to execute the first ever invocation (minutes) subsequent calls return results almost instantly. This is a classic table-join performance issue where even though a subset of data is required the engine joins the whole dataset before calculating and delivering the required subset. Subsequently data/results caching works to improve the performance of subsequent queries.

The better solution might be to use get_ddl() and parse the returned table definition as per this thread.

Alternatively you may be able to query the metadata on a table faster by executing a dummy query then using resultSetMetadata as follows (Note: column remarks metadata may not be immediately available):

    ResultSet rs = connection.CreateStatement.executeQuery("SELECT * from MyTable WHERE 1=0");
    ResultSetMetaData md = rs.getMetaData();
    for (int ix = 1; ix <= md.getColumnCount(); ix++)
    {
      int colSize = md.getPrecision(ix);
      String nativeType = md.getColumnTypeName(ix);
      int jdbcType = md.getColumnType(ix);
      // and so on....
    }