本文整理匯總了Java中net.hydromatic.avatica.ColumnMetaData.Rep類的典型用法代碼示例。如果您正苦於以下問題：Java Rep類的具體用法？Java Rep怎麽用？Java Rep使用的例子？那麽, 這裏精選的類代碼示例或許可以為您提供幫助。
Rep類屬於net.hydromatic.avatica.ColumnMetaData包，在下文中一共展示了Rep類的7個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。
示例1: getTableTypes
import net.hydromatic.avatica.ColumnMetaData.Rep; //導入依賴的package包/類
public ResultSet getTableTypes() {
List<ColumnMetaData> tableTypeMeta = new ArrayList<ColumnMetaData>();
tableTypeMeta.add(ColumnMetaData.dummy(ColumnMetaData.scalar(Types.VARCHAR, "varchar", Rep.STRING), false));
List<Object[]> data = new ArrayList<Object[]>();
Object[] row = new Object[1];
row[0] = "TABLE";
data.add(row);
AvaticaResultSet resultSet = null;
try {
resultSet = this.conn.getFactory().newResultSet(this.conn.createStatement(), new KylinPrepare.PrepareResult(null, null, new KylinEnumerator<Object[]>(data), ColumnMetaData.struct(tableTypeMeta)), this.conn.getTimeZone());
KylinConnectionImpl.TROJAN.execute(resultSet);
} catch (SQLException e) {
logger.error(e.getLocalizedMessage(), e);
}
return resultSet;
}
示例2: getMetadata
import net.hydromatic.avatica.ColumnMetaData.Rep; //導入依賴的package包/類
@Override
public KylinMetaImpl.MetaProject getMetadata(String project) throws ConnectionException {
List<ColumnMetaData> meta = new ArrayList<ColumnMetaData>();
for (int i = 0; i < 10; i++) {
meta.add(ColumnMetaData.dummy(ColumnMetaData.scalar(Types.VARCHAR, "varchar", Rep.STRING), true));
}
List<KylinMetaImpl.MetaTable> tables = new ArrayList<KylinMetaImpl.MetaTable>();
KylinMetaImpl.MetaTable table = new KylinMetaImpl.MetaTable("dummy", "dummy", "dummy", "dummy", "dummy", "dummy", "dummy", "dummy", "dummy", "dummy", new ArrayList<KylinMetaImpl.MetaColumn>());
tables.add(table);
List<KylinMetaImpl.MetaSchema> schemas = new ArrayList<KylinMetaImpl.MetaSchema>();
schemas.add(new KylinMetaImpl.MetaSchema("dummy", "dummy", tables));
List<KylinMetaImpl.MetaCatalog> catalogs = new ArrayList<KylinMetaImpl.MetaCatalog>();
catalogs.add(new KylinMetaImpl.MetaCatalog("dummy", schemas));
return new KylinMetaImpl.MetaProject(null, catalogs);
}
示例3: getAvaticaType
import net.hydromatic.avatica.ColumnMetaData.Rep; //導入依賴的package包/類
/**
* Gets AvaticaType carrying both JDBC {@code java.sql.Type.*} type code
* and SQL type name for given RPC-level type (from batch schema).
*/
private static AvaticaType getAvaticaType( MajorType rpcDateType ) {
final String sqlTypeName = Types.getSqlTypeName( rpcDateType );
final int jdbcTypeId = Types.getJdbcTypeCode( rpcDateType );
return ColumnMetaData.scalar( jdbcTypeId, sqlTypeName,
Rep.BOOLEAN /* dummy value, unused */ );
}
示例4: genColumnMeta
import net.hydromatic.avatica.ColumnMetaData.Rep; //導入依賴的package包/類
/**
* @param queryRes
* @return
*/
private List<ColumnMetaData> genColumnMeta(SQLResponseStub queryRes) {
List<ColumnMetaData> metas = new ArrayList<ColumnMetaData>();
for (int i = 0; i < queryRes.getColumnMetas().size(); i++) {
SQLResponseStub.ColumnMetaStub scm = queryRes.getColumnMetas().get(i);
ScalarType type = ColumnMetaData.scalar(scm.getColumnType(), scm.getColumnTypeName(), Rep.of(SQLTypeMap.convert(scm.getColumnType())));
ColumnMetaData meta = new ColumnMetaData(i, scm.isAutoIncrement(), scm.isCaseSensitive(), scm.isSearchable(), scm.isCurrency(), scm.getIsNullable(), scm.isSigned(), scm.getDisplaySize(), scm.getLabel(), scm.getName(), scm.getSchemaName(), scm.getPrecision(), scm.getScale(), scm.getTableName(), scm.getSchemaName(), type, scm.isReadOnly(), scm.isWritable(), scm.isWritable(), null);
metas.add(meta);
}
return metas;
}
示例5: query
import net.hydromatic.avatica.ColumnMetaData.Rep; //導入依賴的package包/類
@Override
public DataSet<Object[]> query(AvaticaStatement statement, String sql) {
List<Object[]> data = new ArrayList<Object[]>();
Object[] row = new Object[] { "foo", "bar", "tool" };
data.add(row);
Enumerator<Object[]> enumerator = new KylinEnumerator<Object[]>(data);
List<ColumnMetaData> meta = new ArrayList<ColumnMetaData>();
meta.add(ColumnMetaData.dummy(ColumnMetaData.scalar(Types.VARCHAR, "varchar", Rep.STRING), true));
meta.add(ColumnMetaData.dummy(ColumnMetaData.scalar(Types.VARCHAR, "varchar", Rep.STRING), true));
meta.add(ColumnMetaData.dummy(ColumnMetaData.scalar(Types.VARCHAR, "varchar", Rep.STRING), true));
return new DataSet<Object[]>(meta, enumerator);
}
示例6: getColumnList
import net.hydromatic.avatica.ColumnMetaData.Rep; //導入依賴的package包/類
@Override
public List<ColumnMetaData> getColumnList() {
System.err.println("GetColList");
int i = 1;
return ImmutableList.of( new ColumnMetaData( //
i, // ordinal
false, // autoIncrement
true, // caseSensitive
false, // searchable
false, // currency
ResultSetMetaData.columnNoNulls, //nullability
false, // signed
10, // display size.
"test1", // label
"test2", // columnname
"test3", // schemaname
0, // precision
0, // scale
"test3.1", // tablename is null so sqlline doesn't try to retrieve primary keys.
"test4", // catalogname
Rep.LONG.ordinal(), // sql type
"test5", // typename
true, // readonly
false, // writable
false, // definitely writable
"none", // column class name
ColumnMetaData.Rep.BOOLEAN // Dummy value for representation as it doesn't apply in drill's case.
));
}
示例7: setParam
import net.hydromatic.avatica.ColumnMetaData.Rep; //導入依賴的package包/類
/**
* @param preparedState
* @param param
* @throws SQLException
*/
private void setParam(PreparedStatement preparedState, int index, PrepareSqlRequest.StateParam param) throws SQLException {
boolean isNull = (null == param.getValue());
Class<?> clazz;
try {
clazz = Class.forName(param.getClassName());
} catch (ClassNotFoundException e) {
throw new RuntimeException(e.getMessage(), e);
}
Rep rep = Rep.of(clazz);
switch (rep) {
case PRIMITIVE_CHAR:
case CHARACTER:
case STRING:
preparedState.setString(index, isNull ? null : String.valueOf(param.getValue()));
break;
case PRIMITIVE_INT:
case INTEGER:
preparedState.setInt(index, isNull ? 0 : Integer.valueOf(param.getValue()));
break;
case PRIMITIVE_SHORT:
case SHORT:
preparedState.setShort(index, isNull ? 0 : Short.valueOf(param.getValue()));
break;
case PRIMITIVE_LONG:
case LONG:
preparedState.setLong(index, isNull ? 0 : Long.valueOf(param.getValue()));
break;
case PRIMITIVE_FLOAT:
case FLOAT:
preparedState.setFloat(index, isNull ? 0 : Float.valueOf(param.getValue()));
break;
case PRIMITIVE_DOUBLE:
case DOUBLE:
preparedState.setDouble(index, isNull ? 0 : Double.valueOf(param.getValue()));
break;
case PRIMITIVE_BOOLEAN:
case BOOLEAN:
preparedState.setBoolean(index, !isNull && Boolean.parseBoolean(param.getValue()));
break;
case PRIMITIVE_BYTE:
case BYTE:
preparedState.setByte(index, isNull ? 0 : Byte.valueOf(param.getValue()));
break;
case JAVA_UTIL_DATE:
case JAVA_SQL_DATE:
preparedState.setDate(index, isNull ? null : java.sql.Date.valueOf(param.getValue()));
break;
case JAVA_SQL_TIME:
preparedState.setTime(index, isNull ? null : Time.valueOf(param.getValue()));
break;
case JAVA_SQL_TIMESTAMP:
preparedState.setTimestamp(index, isNull ? null : Timestamp.valueOf(param.getValue()));
break;
default:
preparedState.setObject(index, isNull ? null : param.getValue());
}
}