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This patch adds support for BINARY columns for all table formats with the exception of Kudu. In Hive the main difference between STRING and BINARY is that STRING is assumed to be UTF8 encoded, while BINARY can be any byte array. Some other differences in Hive: - BINARY can be only cast from/to STRING - Only a small subset of built-in STRING functions support BINARY. - In several file formats (e.g. text) BINARY is base64 encoded. - No NDV is calculated during COMPUTE STATISTICS. As Impala doesn't treat STRINGs as UTF8, BINARY and STRING become nearly identical, especially from the backend's perspective. For this reason, BINARY is implemented a bit differently compared to other types: while the frontend treats STRING and BINARY as two separate types, most of the backend uses PrimitiveType::TYPE_STRING for BINARY too, e.g. in SlotDesc. Only the following parts of backend need to differentiate between STRING and BINARY: - table scanners - table writers - HS2/Beeswax service These parts have access to column metadata, which allows to add special handling for BINARY. Only a very few builtins are allowed for BINARY at the moment: - length - min/max/count - coalesce and similar "selector" functions Other STRING functions can be only used by casting to STRING first. Adding support for more of these functions is very easy, as simply the BINARY type has to be "connected" to the already existing STRING function's signature. Functions where the result depends on utf8_mode need to ensure that with BINARY it always works as if utf8_mode=0 (for example length() is mapped to bytes() as length count utf8 chars if utf8_mode=1). All kinds of UDFs (native, Hive legacy, Hive generic) support BINARY, though in case of legacy Hive UDFs it is only supported if the argument and return types are set explicitely to ensure backward compatibility. See IMPALA-11340 for details. The original plan was to behave as close to Hive as possible, but I realized that Hive has more relaxed casting rules than Impala, which led to STRING<->BINARY casts being necessary in more cases in Impala. This was needed to disallow passing a BINARY to functions that expect a STRING argument. An example for the difference is that in INSERT ... VALUES () string literals need to be explicitly cast to BINARY, while this is not needed in Hive. Testing: - Added functional.binary_tbl for all file formats (except Kudu) to test scanning. - Removed functional.unsupported_types and related tests, as now Impala supports all (non-complex) types that Hive does. - Added FE/EE tests mainly based on the ones added to the DATE type Change-Id: I36861a9ca6c2047b0d76862507c86f7f153bc582 Reviewed-on: http://gerrit.cloudera.org:8080/16066 Reviewed-by: Quanlong Huang <huangquanlong@gmail.com> Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
92 lines
3.4 KiB
Plaintext
92 lines
3.4 KiB
Plaintext
====
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---- QUERY
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create function hive_pi() returns double
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location '$FILESYSTEM_PREFIX/test-warehouse/hive-exec.jar'
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symbol='org.apache.hadoop.hive.ql.udf.UDFPI';
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create function hive_bin(bigint) returns string
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location '$FILESYSTEM_PREFIX/test-warehouse/hive-exec.jar'
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symbol='org.apache.hadoop.hive.ql.udf.UDFBin';
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# Used to test persistent java functions
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create function identity_anytype
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function identity(boolean) returns boolean
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function identity(tinyint) returns tinyint
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function identity(smallint) returns smallint
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function identity(int) returns int
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function identity(bigint) returns bigint
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function identity(float) returns float
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function identity(double) returns double
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function identity(string) returns string
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function identity(binary) returns binary
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function identity(string, string) returns string
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function identity(string, string, string) returns string
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function hive_add(int, int) returns int
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function hive_add(smallint, smallint) returns smallint
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function hive_add(float, float) returns float
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function hive_add(double, double) returns double
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function hive_add(boolean, boolean) returns boolean
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdf';
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create function throws_exception() returns boolean
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.TestUdfException';
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create function replace_string(string) returns string
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.ReplaceStringUdf';
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create function import_nearby_classes(string) returns string
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location '$FILESYSTEM_PREFIX/test-warehouse/impala-hive-udfs.jar'
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symbol='org.apache.impala.ImportsNearbyClassesUdf';
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====
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