Examples with TypeInfoFactory.getCharTypeInfo org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory.getCharTypeInfo used on opensource projects

Example 16 with TypeInfoFactory.getCharTypeInfo

use of org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory.getCharTypeInfo in project hive by apache.

the class TestParquetFilterPredicate method testFilterCharColumnWhiteSpacePostfix.

@Test
public void testFilterCharColumnWhiteSpacePostfix() throws Exception {
    SearchArgument sarg = SearchArgumentFactory.newBuilder().startAnd().lessThan("a", PredicateLeaf.Type.STRING, new HiveChar("apple  ", 10).toString()).lessThanEquals("b", PredicateLeaf.Type.STRING, new HiveChar("pear  ", 10).toString()).equals("c", PredicateLeaf.Type.STRING, new HiveChar("orange  ", 10).toString()).nullSafeEquals("d", PredicateLeaf.Type.STRING, new HiveChar("pineapple ", 10).toString()).end().build();
    MessageType schema = MessageTypeParser.parseMessageType("message test {" + " required binary a; required binary b;" + " required binary c; required binary d;}");
    Map<String, TypeInfo> columnTypes = new HashMap<>();
    columnTypes.put("a", TypeInfoFactory.getCharTypeInfo(10));
    columnTypes.put("b", TypeInfoFactory.getCharTypeInfo(10));
    columnTypes.put("c", TypeInfoFactory.getCharTypeInfo(10));
    columnTypes.put("d", TypeInfoFactory.getCharTypeInfo(10));
    FilterPredicate p = ParquetFilterPredicateConverter.toFilterPredicate(sarg, schema, columnTypes);
    String expected = "and(and(and(" + "lt(a, Binary{\"apple\"}), " + "lteq(b, Binary{\"pear\"})), " + "eq(c, Binary{\"orange\"})), " + "eq(d, Binary{\"pineapple\"}))";
    assertEquals(expected, p.toString());
}

Example 17 with TypeInfoFactory.getCharTypeInfo

use of org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory.getCharTypeInfo in project hive by apache.

the class TestParquetFilterPredicate method testFilterCharColumnLessThan.

@Test
public void testFilterCharColumnLessThan() throws Exception {
    SearchArgument sarg = SearchArgumentFactory.newBuilder().lessThan("a", PredicateLeaf.Type.STRING, new HiveChar("apple", 10).toString()).build();
    MessageType schema = MessageTypeParser.parseMessageType("message test {required binary a;}");
    Map<String, TypeInfo> columnTypes = new HashMap<>();
    columnTypes.put("a", TypeInfoFactory.getCharTypeInfo(10));
    FilterPredicate p = ParquetFilterPredicateConverter.toFilterPredicate(sarg, schema, columnTypes);
    String expected = "lt(a, Binary{\"apple\"})";
    assertEquals(expected, p.toString());
}

Example 18 with TypeInfoFactory.getCharTypeInfo

use of org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory.getCharTypeInfo in project hive by apache.

the class TestParquetFilterPredicate method testFilterCharColumnNullSafeEquals.

@Test
public void testFilterCharColumnNullSafeEquals() throws Exception {
    SearchArgument sarg = SearchArgumentFactory.newBuilder().nullSafeEquals("a", PredicateLeaf.Type.STRING, new HiveChar("apple", 10).toString()).build();
    MessageType schema = MessageTypeParser.parseMessageType("message test {required binary a;}");
    Map<String, TypeInfo> columnTypes = new HashMap<>();
    columnTypes.put("a", TypeInfoFactory.getCharTypeInfo(10));
    FilterPredicate p = ParquetFilterPredicateConverter.toFilterPredicate(sarg, schema, columnTypes);
    String expected = "eq(a, Binary{\"apple\"})";
    assertEquals(expected, p.toString());
}

Example 19 with TypeInfoFactory.getCharTypeInfo

use of org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory.getCharTypeInfo in project hive by apache.

the class TestParquetFilterPredicate method testFilterFloatColumn.

@Test
public void testFilterFloatColumn() throws Exception {
    SearchArgument sarg = SearchArgumentFactory.newBuilder().startAnd().lessThan("x", PredicateLeaf.Type.LONG, 22L).lessThan("x1", PredicateLeaf.Type.LONG, 22L).lessThanEquals("y", PredicateLeaf.Type.STRING, new HiveChar("hi", 10).toString()).equals("z", PredicateLeaf.Type.FLOAT, Double.valueOf(0.22)).equals("z1", PredicateLeaf.Type.FLOAT, Double.valueOf(0.22)).end().build();
    MessageType schema = MessageTypeParser.parseMessageType("message test {" + " required int32 x; required int32 x1;" + " required binary y; required float z; required float z1;}");
    Map<String, TypeInfo> columnTypes = new HashMap<>();
    columnTypes.put("x", TypeInfoFactory.getPrimitiveTypeInfo("int"));
    columnTypes.put("x1", TypeInfoFactory.getPrimitiveTypeInfo("int"));
    columnTypes.put("y", TypeInfoFactory.getCharTypeInfo(10));
    columnTypes.put("z", TypeInfoFactory.getPrimitiveTypeInfo("float"));
    columnTypes.put("z1", TypeInfoFactory.getPrimitiveTypeInfo("float"));
    FilterPredicate p = ParquetFilterPredicateConverter.toFilterPredicate(sarg, schema, columnTypes);
    String expected = "and(and(and(and(lt(x, 22), lt(x1, 22))," + " lteq(y, Binary{\"hi\"})), eq(z, " + "0.22)), eq(z1, 0.22))";
    assertEquals(expected, p.toString());
}

Example 20 with TypeInfoFactory.getCharTypeInfo

use of org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory.getCharTypeInfo in project hive by apache.

the class TestGenericUDFPrintf method testVarcharFormat.

@Test
public void testVarcharFormat() throws HiveException {
    GenericUDFPrintf udf = new GenericUDFPrintf();
    ObjectInspector[] inputOIs = { PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(TypeInfoFactory.getVarcharTypeInfo(7)), PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(TypeInfoFactory.getCharTypeInfo(5)) };
    HiveCharWritable argChar = new HiveCharWritable();
    argChar.set("hello");
    HiveVarcharWritable formatVarchar = new HiveVarcharWritable();
    formatVarchar.set("arg1=%s");
    DeferredObject[] args = { new DeferredJavaObject(formatVarchar), new DeferredJavaObject(argChar) };
    PrimitiveObjectInspector oi = (PrimitiveObjectInspector) udf.initialize(inputOIs);
    Assert.assertEquals(PrimitiveObjectInspectorFactory.writableStringObjectInspector, oi);
    Text res = (Text) udf.evaluate(args);
    Assert.assertEquals("arg1=hello", res.toString());
}