- Incompatible Changes and Limitations in Apache Impala
- Incompatible Changes Introduced in Impala 4.0.x
- Incompatible Changes Introduced in Impala 3.4.x
- Incompatible Changes Introduced in Impala 3.3.x
- Incompatible Changes Introduced in Impala 3.2.x
- Incompatible Changes Introduced in Impala 3.1.x
- Incompatible Changes Introduced in Impala 3.0.x
- Incompatible Changes Introduced in Impala 2.12.x
- Incompatible Changes Introduced in Impala 2.11.x
- Incompatible Changes Introduced in Impala 2.10.x
- Incompatible Changes Introduced in Impala 2.9.x
- Incompatible Changes Introduced in Impala 2.8.x
- Incompatible Changes Introduced in Impala 2.7.x
- Incompatible Changes Introduced in Impala 2.6.x
- Incompatible Changes Introduced in Impala 2.5.x
- Incompatible Changes Introduced in Impala 2.4.x
- Incompatible Changes Introduced in Impala 2.3.x
- Incompatible Changes Introduced in Impala 2.2.x
- Incompatible Changes Introduced in Impala 2.1.x
- Incompatible Changes Introduced in Impala 2.0.5
- Incompatible Changes Introduced in Impala 2.0.4
- Incompatible Changes Introduced in Impala 2.0.3
- Incompatible Changes Introduced in Impala 2.0.2
- Incompatible Changes Introduced in Impala 2.0.1
- Incompatible Changes Introduced in Impala 2.0.0
- Incompatible Changes Introduced in Impala 1.4.4
- Incompatible Changes Introduced in Impala 1.4.3
- Incompatible Changes Introduced in Impala 1.4.2
- Incompatible Changes Introduced in Impala 1.4.1
- Incompatible Changes Introduced in Impala 1.4.0
- Incompatible Changes Introduced in Impala 1.3.3
- Incompatible Changes Introduced in Impala 1.3.2
- Incompatible Changes Introduced in Impala 1.3.1
- Incompatible Changes Introduced in Impala 1.3.0
- Incompatible Changes Introduced in Impala 1.2.4
- Incompatible Changes Introduced in Impala 1.2.3
- Incompatible Changes Introduced in Impala 1.2.2
- Incompatible Changes Introduced in Impala 1.2.1
- Incompatible Changes Introduced in Impala 1.2.0 (Beta)
- Incompatible Changes Introduced in Impala 1.1.1
- Incompatible Change Introduced in Impala 1.1
- Incompatible Changes Introduced in Impala 1.0
Incompatible Changes and Limitations in Apache Impala
The Impala version covered by this documentation library contains the following incompatible changes. These are things such as file format changes, removed features, or changes to implementation, default configuration, dependencies, or prerequisites that could cause issues during or after an Impala upgrade.
Even added SQL statements or clauses can produce incompatibilities, if you have databases, tables, or columns whose names conflict with the new keywords. See Impala Reserved Words for the set of reserved words for the current release, and the quoting techniques to avoid name conflicts.
Parent topic: Impala Release Notes
Incompatible Changes Introduced in Impala 4.0.x
For the full list of incompatible changes introduced in this release, see the release notes for Impala 4.0.
Incompatible Changes Introduced in Impala 3.4.x
For the full list of issues closed in this release, including any that introduce behavior changes or incompatibilities, see the changelog for Impala 3.4.
To optimize query performance, Impala planner uses the value of the
fs.s3a.block.size
startup flag when calculating the split size on non-block based stores, e.g. S3, ADLS, etc. Starting in this release, Impala planner uses thePARQUET_OBJECT_STORE_SPLIT_SIZE
query option to get the Parquet file format specific split size.For Parquet files, the
fs.s3a.block.size
startup flag is no longer used.The default value of the
PARQUET_OBJECT_STORE_SPLIT_SIZE
query option is 256 MB.
Incompatible Changes Introduced in Impala 3.3.x
For the full list of issues closed in this release, including any that introduce behavior changes or incompatibilities, see the changelog for Impala 3.3.
Default file format changed to Parquet
When you create a table, the default format for that table data is now Parquet.
For backward compatibility, you can use the DEFAULT_FILE_FORMAT query option to set the default file format to the previous default, text, or other formats.
Incompatible Changes Introduced in Impala 3.2.x
For the full list of issues closed in this release, including any that introduce behavior changes or incompatibilities, see the changelog for Impala 3.2.
The Port change for the
SHUTDOWN
commandThe
SHUTDOWN
command for shutting down a remote server used the backend port in Impala 3.1. Starting in Impala 3.2, the command uses the KRPC port, e.g.:shutdown('host100:27000')
.
Incompatible Changes Introduced in Impala 3.1.x
For the full list of issues closed in this release, including any that introduce behavior changes or incompatibilities, see the changelog for Impala 3.1.
Incompatible Changes Introduced in Impala 3.0.x
For the full list of issues closed in this release, including any that introduce behavior changes or incompatibilities, see the changelog for Impala 3.0.
Incompatible Changes Introduced in Impala 2.12.x
For the full list of issues closed in this release, including any that introduce behavior changes or incompatibilities, see the changelog for Impala 2.12.
Incompatible Changes Introduced in Impala 2.11.x
For the full list of issues closed in this release, including any that introduce behavior changes or incompatibilities, see the changelog for Impala 2.11.
Incompatible Changes Introduced in Impala 2.10.x
For the full list of issues closed in this release, including any that introduce behavior changes or incompatibilities, see the changelog for Impala 2.10.
Incompatible Changes Introduced in Impala 2.9.x
For the full list of issues closed in this release, including any that introduce behavior changes or incompatibilities, see the changelog for Impala 2.9.
Incompatible Changes Introduced in Impala 2.8.x
Llama support is removed completely from Impala. Related flags (
--enable_rm
) and query options (such asV_CPU_CORES
) remain but do not have any effect.If
--enable_rm
is passed to Impala, a warning is printed to the log on startup.The syntax related to Kudu tables includes a number of new reserved words, such as
COMPRESSION
,DEFAULT
, andENCODING
, that might conflict with names of existing tables, columns, or other identifiers from older Impala versions. See Impala Reserved Words for the full list of reserved words.The DDL syntax for Kudu tables, particularly in the
CREATE TABLE
statement, is different from the specialimpala_next
fork that was previously used for accessing Kudu tables from Impala:The
DISTRIBUTE BY
clause is nowPARTITIONED BY
.The
INTO N BUCKETS
clause is nowPARTITIONS N
.The
SPLIT ROWS
clause is replaced by different syntax for specifying the ranges covered by each partition.
The
DESCRIBE
output for Kudu tables includes several extra columns.Non-primary-key columns can contain
NULL
values by default. TheSHOW CREATE TABLE
output for these columns displays theNULL
attribute. There was a period during early experimental versions of Impala + Kudu where non-primary-key columns had theNOT NULL
attribute by default.The
IGNORE
keyword that was present in early experimental versions of Impala + Kudu is no longer present. The behavior of theIGNORE
keyword is now the default: DML statements continue with warnings, instead of failing with errors, if they encounter conditions such as “primary key already exists” for anINSERT
statement or “primary key already deleted” for aDELETE
statement.The replication factor for Kudu tables must be an odd number.
A UDF compiled into an LLVM IR bitcode module (
.bc
) might encounter a runtime error when native code generation is turned off by setting the query optionDISABLE_CODEGEN=1
. This issue also applies when running a built-in or native UDF with more than 20 arguments. See IMPALA-4432 for details. As a workaround, either turn native code generation back on with the query optionDISABLE_CODEGEN=0
, or use the regular UDF compilation path that does not produce an IR module.
Incompatible Changes Introduced in Impala 2.7.x
- Bug fixes related to parsing of floating-point values (IMPALA-1731 and IMPALA-3868) can change the results of casting strings that represent invalid floating-point values. For example, formerly a string value beginning or ending with
inf
, such as1.23inf
orinfinite
, now are converted toNULL
when interpreted as a floating-point value. Formerly, they were interpreted as the special “infinity” value when converting from string to floating-point. Similarly, now only the stringNaN
(case-sensitive) is interpreted as the special “not a number” value. String values containing multiple dots, such as3..141
or3.1.4.1
, are now interpreted asNULL
rather than being converted to valid floating-point values.
Incompatible Changes Introduced in Impala 2.6.x
The default for the
RUNTIME_FILTER_MODE
query option is changed toGLOBAL
(the highest setting).The
RUNTIME_BLOOM_FILTER_SIZE
setting is now only used as a fallback if statistics are not available; otherwise, Impala uses the statistics to estimate the appropriate size to use for each filter.Admission control and dynamic resource pools are enabled by default. When upgrading from an earlier release, you must turn on these settings yourself if they are not already enabled. See Admission Control and Query Queuing for details about admission control.
Impala reserves some new keywords, in preparation for support for Kudu syntax:
buckets
,delete
,distribute
,hash
,ignore
,split
, andupdate
.For Kerberized clusters, the Catalog service now uses the Kerberos principal instead of the operating sytem user that runs the catalogd daemon. This eliminates the requirement to configure a
hadoop.user.group.static.mapping.overrides
setting to put the OS user into the Sentry administrative group, on clusters where the principal and the OS user name for this user are different.The mechanism for interpreting
DECIMAL
literals is improved, no longer going through an intermediate conversion step toDOUBLE
:Casting a
DECIMAL
value toTIMESTAMP
DOUBLE
produces a more precise value for theTIMESTAMP
than formerly.Certain function calls involving
DECIMAL
literals now succeed, when formerly they failed due to lack of a function signature with aDOUBLE
argument.
Improved type accuracy for
CASE
return values. If allWHEN
clauses of theCASE
expression are ofCHAR
type, the final result is alsoCHAR
instead of being converted toSTRING
.The initial release of Impala 2.5 sometimes has a higher peak memory usage than in previous releases while reading Parquet files. The following query options might help to reduce memory consumption in the Parquet scanner:
- Reduce the number of scanner threads, for example:
set num_scanner_threads=30
- Reduce the batch size, for example:
set batch_size=512
- Increase the memory limit, for example:
set mem_limit=64g
You can track the status of the fix for this issue at IMPALA-3662.
- Reduce the number of scanner threads, for example:
The
S3_SKIP_INSERT_STAGING
query option, which is enabled by default, increases the speed ofINSERT
operations for S3 tables. The speedup applies to regularINSERT
, but notINSERT OVERWRITE
. The tradeoff is the possibility of inconsistent output files left behind if a node fails duringINSERT
execution. See S3_SKIP_INSERT_STAGING Query Option (Impala 2.6 or higher only) for details.
Certain features are turned off by default, to avoid regressions or unexpected behavior following an upgrade. Consider turning on these features after suitable testing:
Impala now recognizes the
auth_to_local
setting, specified through the HDFS configuration settinghadoop.security.auth_to_local
. This feature is disabled by default; to enable it, specify--load_auth_to_local_rules=true
in the impalad configuration settings.A new query option,
PARQUET_ANNOTATE_STRINGS_UTF8
, makes Impala include theUTF-8
annotation metadata forSTRING
,CHAR
, andVARCHAR
columns in Parquet files created byINSERT
orCREATE TABLE AS SELECT
statements.A new query option,
PARQUET_FALLBACK_SCHEMA_RESOLUTION
, lets Impala locate columns within Parquet files based on column name rather than ordinal position. This enhancement improves interoperability with applications that write Parquet files with a different order or subset of columns than are used in the Impala table.
Incompatible Changes Introduced in Impala 2.5.x
The admission control default limit for concurrent queries (the max requests setting) is now unlimited instead of 200.
Multiplying a mixture of
DECIMAL
andFLOAT
orDOUBLE
values now returnsDOUBLE
rather thanDECIMAL
. This change avoids some cases where an intermediate value would underflow or overflow and becomeNULL
unexpectedly. The results of multiplyingDECIMAL
andFLOAT
orDOUBLE
might now be slightly less precise than before. Previously, the intermediate types and thus the final result depended on the exact order of the values of different types being multiplied, which made the final result values difficult to reason about.Previously, the
_
and%
wildcard characters for theLIKE
operator would not match characters on the second or subsequent lines of multi-line string values. The fix for issue IMPALA-2204 causes the wildcard matching to apply to the entire string for values containing embedded\n
characters. This could cause different results than in previous Impala releases for identical queries on identical data.Formerly, all Impala UDFs and UDAs required running the
CREATE FUNCTION
statements to re-create them after each catalogd restart. In Impala 2.5 and higher, functions written in C++ are persisted across restarts, and the requirement to re-create functions only applies to functions written in Java. Adapt any function-reloading logic that you have added to your Impala environment.CREATE TABLE LIKE
no longer inherits HDFS caching settings from the source table.The
SHOW DATABASES
statement now returns two columns rather than one. The second column includes the associated comment string, if any, for each database. Adjust any application code that examines the list of databases and assumes the result set contains only a single column.The output of the
SHOW FUNCTIONS
statement includes two new columns, showing the kind of the function (for example,BUILTIN
) and whether or not the function persists across catalog server restarts. For example, theSHOW FUNCTIONS
output for the_impala_builtins
database starts with:+--------------+-------------------------------------------------+-------------+---------------+
| return type | signature | binary type | is persistent |
+--------------+-------------------------------------------------+-------------+---------------+
| BIGINT | abs(BIGINT) | BUILTIN | true |
| DECIMAL(*,*) | abs(DECIMAL(*,*)) | BUILTIN | true |
| DOUBLE | abs(DOUBLE) | BUILTIN | true |
...
Incompatible Changes Introduced in Impala 2.4.x
Other than support for DSSD storage, the Impala feature set for Impala 2.4 is the same as for Impala 2.3. Therefore, there are no incompatible changes for Impala introduced in Impala 2.4.
Incompatible Changes Introduced in Impala 2.3.x
Note:
The use of the Llama component for integrated resource management within YARN is no longer supported with Impala 2.3 and higher. The Llama support code is removed entirely in Impala 2.8 and higher.
For clusters running Impala alongside other data management components, you define static service pools to define the resources available to Impala and other components. Then within the area allocated for Impala, you can create dynamic service pools, each with its own settings for the Impala admission control feature.
If Impala encounters a Parquet file that is invalid because of an incorrect magic number, the query skips the file. This change is caused by the fix for issue IMPALA-2130. Previously, Impala would attempt to read the file despite the possibility that the file was corrupted.
Previously, calls to overloaded built-in functions could treat parameters as
DOUBLE
orFLOAT
when no overload had a signature that matched the exact argument types. Now Impala prefers the function signature withDECIMAL
parameters in this case. This change avoids a possible loss of precision in function calls such asgreatest(0, 99999.8888)
; now both parameters are treated asDECIMAL
rather thanDOUBLE
, avoiding any loss of precision in the fractional value. This could cause slightly different results than in previous Impala releases for certain function calls.Formerly, adding or subtracting a large interval value to a
TIMESTAMP
could produce a nonsensical result. Now when the result goes outside the range ofTIMESTAMP
values, Impala returnsNULL
.Formerly, it was possible to accidentally create a table with identical row and column delimiters. This could happen unintentionally, when specifying one of the delimiters and using the default value for the other. Now an attempt to use identical delimiters still succeeds, but displays a warning message.
Formerly, Impala could include snippets of table data in log files by default, for example when reporting conversion errors for data values. Now any such log messages are only produced at higher logging levels that you would enable only during debugging.
Incompatible Changes Introduced in Impala 2.2.x
Changes to File Handling
Impala queries ignore files with extensions commonly used for temporary work files by Hadoop tools. Any files with extensions .tmp
or .copying
are not considered part of the Impala table. The suffix matching is case-insensitive, so for example Impala ignores both .copying
and .COPYING
suffixes.
The log rotation feature in Impala 2.2.0 and higher means that older log files are now removed by default. The default is to preserve the latest 10 log files for each severity level, for each Impala-related daemon. If you have set up your own log rotation processes that expect older files to be present, either adjust your procedures or change the Impala -max_log_files
setting. See Rotating Impala Logs for details.
Changes to Prerequisites
The prerequisite for CPU architecture has been relaxed in Impala 2.2.0 and higher. From this release onward, Impala works on CPUs that have the SSSE3 instruction set. The SSE4 instruction set is no longer required. This relaxed requirement simplifies the upgrade planning from Impala 1.x releases, which also worked on SSSE3-enabled processors.
Incompatible Changes Introduced in Impala 2.1.x
Changes to Prerequisites
Currently, Impala 2.1.x does not function on CPUs without the SSE4.1 instruction set. This minimum CPU requirement is higher than in previous versions, which relied on the older SSSE3 instruction set. Check the CPU level of the hosts in your cluster before upgrading to Impala 2.1.
Changes to Output Format
The “small query” optimization feature introduces some new information in the EXPLAIN
plan, which you might need to account for if you parse the text of the plan output.
New Reserved Words
New SQL syntax introduces additional reserved words: FOR
, GRANT
, REVOKE
, ROLE
, ROLES
, INCREMENTAL
. As always, see Impala Reserved Words for the set of reserved words for the current release, and the quoting techniques to avoid name conflicts.
Incompatible Changes Introduced in Impala 2.0.5
No incompatible changes.
Incompatible Changes Introduced in Impala 2.0.4
No incompatible changes.
Incompatible Changes Introduced in Impala 2.0.3
Incompatible Changes Introduced in Impala 2.0.2
No incompatible changes.
Incompatible Changes Introduced in Impala 2.0.1
The
INSERT
statement has always left behind a hidden work directory inside the data directory of the table. Formerly, this hidden work directory was named .impala_insert_staging . In Impala 2.0.1 and later, this directory name is changed to _impala_insert_staging . (While HDFS tools are expected to treat names beginning either with underscore and dot as hidden, in practice names beginning with an underscore are more widely supported.) If you have any scripts, cleanup jobs, and so on that rely on the name of this work directory, adjust them to use the new name.The
abs()
function now takes a broader range of numeric types as arguments, and the return type is the same as the argument type.Shorthand notation for character classes in regular expressions, such as
\d
for digit, are now available again in regular expression operators and functions such asregexp_extract()
andregexp_replace()
. Some other differences in regular expression behavior remain between Impala 1.x and Impala 2.x releases. See Incompatible Changes Introduced in Impala 2.0.0 for details.
Incompatible Changes Introduced in Impala 2.0.0
Changes to Prerequisites
Currently, Impala 2.0.x does not function on CPUs without the SSE4.1 instruction set. This minimum CPU requirement is higher than in previous versions, which relied on the older SSSE3 instruction set. Check the CPU level of the hosts in your cluster before upgrading to Impala 2.0.
Changes to Query Syntax
The new syntax where query hints are allowed in comments causes some changes in the way comments are parsed in the impala-shell interpreter. Previously, you could end a --
comment line with a semicolon and impala-shell would treat that as a no-op statement. Now, a comment line ending with a semicolon is passed as an empty statement to the Impala daemon, where it is flagged as an error.
Impala 2.0 and later uses a different support library for regular expression parsing than in earlier Impala versions. Now, Impala uses the Google RE2 library rather than Boost for evaluating regular expressions. This implementation change causes some differences in the allowed regular expression syntax, and in the way certain regex operators are interpreted. The following are some of the major differences (not necessarily a complete list):
.*?
notation for non-greedy matches is now supported, where it was not in earlier Impala releases.By default,
^
and$
now match only begin/end of buffer, not begin/end of each line. This behavior can be overridden in the regex itself using them
flag.By default,
.
does not match newline. This behavior can be overridden in the regex itself using thes
flag.\Z
is not supported.<
and>
for start of word and end of word are not supported.Lookahead and lookbehind are not supported.
Shorthand notation for character classes, such as
\d
for digit, is not recognized. (This restriction is lifted in Impala 2.0.1, which restores the shorthand notation.)
Changes to Output Format
In Impala 2.0 and later, user()
returns the full Kerberos principal string, such as user@example.com
, in a Kerberized environment.
The changed format for the user name in secure environments is also reflected where the user name is displayed in the output of the PROFILE
command.
In the output from SHOW FUNCTIONS
, SHOW AGGREGATE FUNCTIONS
, and SHOW ANALYTIC FUNCTIONS
, arguments and return types of arbitrary DECIMAL
scale and precision are represented as DECIMAL(*,*)
. Formerly, these items were displayed as DECIMAL(-1,-1)
.
Changes to Query Options
The PARQUET_COMPRESSION_CODEC
query option has been replaced by the COMPRESSION_CODEC
query option. See COMPRESSION_CODEC Query Option (Impala 2.0 or higher only) for details.
Changes to Configuration Options
The meaning of the --idle_query_timeout
configuration option is changed, to accommodate the new QUERY_TIMEOUT_S
query option. Rather than setting an absolute timeout period that applies to all queries, it now sets a maximum timeout period, which can be adjusted downward for individual queries by specifying a value for the QUERY_TIMEOUT_S
query option. In sessions where no QUERY_TIMEOUT_S
query option is specified, the --idle_query_timeout
timeout period applies the same as in earlier versions.
The --strict_unicode
option of impala-shell was removed. To avoid problems with Unicode values in impala-shell, define the following locale setting before running impala-shell:
export LC_CTYPE=en_US.UTF-8
New Reserved Words
Some new SQL syntax requires the addition of new reserved words: ANTI
, ANALYTIC
, OVER
, PRECEDING
, UNBOUNDED
, FOLLOWING
, CURRENT
, ROWS
, RANGE
, CHAR
, VARCHAR
. As always, see Impala Reserved Words for the set of reserved words for the current release, and the quoting techniques to avoid name conflicts.
Changes to Data Files
The default Parquet block size for Impala is changed from 1 GB to 256 MB. This change could have implications for the sizes of Parquet files produced by INSERT
and CREATE TABLE AS SELECT
statements.
Although older Impala releases typically produced files that were smaller than the old default size of 1 GB, now the file size matches more closely whatever value is specified for the PARQUET_FILE_SIZE
query option. Thus, if you use a non-default value for this setting, the output files could be larger than before. They still might be somewhat smaller than the specified value, because Impala makes conservative estimates about the space needed to represent each column as it encodes the data.
When you do not specify an explicit value for the PARQUET_FILE_SIZE
query option, Impala tries to keep the file size within the 256 MB default size, but Impala might adjust the file size to be somewhat larger if needed to accommodate the layout for wide tables, that is, tables with hundreds or thousands of columns.
This change is unlikely to affect memory usage while writing Parquet files, because Impala does not pre-allocate the memory needed to hold the entire Parquet block.
Incompatible Changes Introduced in Impala 1.4.4
No incompatible changes.
Incompatible Changes Introduced in Impala 1.4.3
No incompatible changes. The TLS/SSL security fix does not require any change in the way you interact with Impala.
Incompatible Changes Introduced in Impala 1.4.2
None. Impala 1.4.2 is purely a bug-fix release. It does not include any incompatible changes.
Incompatible Changes Introduced in Impala 1.4.1
None. Impala 1.4.1 is purely a bug-fix release. It does not include any incompatible changes.
Incompatible Changes Introduced in Impala 1.4.0
There is a slight change to required security privileges in the Sentry framework. To create a new object, now you need the
ALL
privilege on the parent object. For example, to create a new table, view, or function requires having theALL
privilege on the database containing the new object. See Impala Authorization for a full list of operations and associated privileges.With the ability of
ORDER BY
queries to process unlimited amounts of data with noLIMIT
clause, the query optionsDEFAULT_ORDER_BY_LIMIT
andABORT_ON_DEFAULT_LIMIT_EXCEEDED
are now deprecated and have no effect. See ORDER BY Clause for details about improvements to theORDER BY
clause.There are some changes to the list of reserved words. See Impala Reserved Words for the most current list. The following keywords are new:
API_VERSION
BINARY
CACHED
CLASS
PARTITIONS
PRODUCED
UNCACHED
The following were formerly reserved keywords, but are no longer reserved:
COUNT
GROUP_CONCAT
NDV
SUM
- The fix for issue IMPALA-973 changes the behavior of the
INVALIDATE METADATA
statement regarding nonexistent tables. In Impala 1.4.0 and higher, the statement returns an error if the specified table is not in the metastore database at all. It completes successfully if the specified table is in the metastore database but not yet recognized by Impala, for example if the table was created through Hive. Formerly, you could issue this statement for a completely nonexistent table, with no error.
Incompatible Changes Introduced in Impala 1.3.3
No incompatible changes. The TLS/SSL security fix does not require any change in the way you interact with Impala.
Incompatible Changes Introduced in Impala 1.3.2
With the fix for IMPALA-1019, you can use HDFS caching for files that are accessed by Impala.
Incompatible Changes Introduced in Impala 1.3.1
In Impala 1.3.1 and higher, the
REGEXP
andRLIKE
operators now match a regular expression string that occurs anywhere inside the target string, the same as if the regular expression was enclosed on each side by.*
. See REGEXP Operator for examples. Previously, these operators only succeeded when the regular expression matched the entire target string. This change improves compatibility with the regular expression support for popular database systems. There is no change to the behavior of theregexp_extract()
andregexp_replace()
built-in functions.The result set for the
SHOW FUNCTIONS
statement includes a new first column, with the data type of the return value. See SHOW Statement for examples.
Incompatible Changes Introduced in Impala 1.3.0
The
EXPLAIN_LEVEL
query option now accepts numeric options from 0 (most concise) to 3 (most verbose), rather than only 0 or 1. If you formerly usedSET EXPLAIN_LEVEL=1
to get detailed explain plans, switch toSET EXPLAIN_LEVEL=3
. If you used the mnemonic keyword (SET EXPLAIN_LEVEL=verbose
), you do not need to change your code because now level 3 corresponds toverbose
. See EXPLAIN_LEVEL Query Option for details about the allowed explain levels, and Understanding Impala Query Performance - EXPLAIN Plans and Query Profiles for usage information.The keyword
DECIMAL
is now a reserved word. If you have any databases, tables, columns, or other objects already namedDECIMAL
, quote any references to them using backticks (``
) to avoid name conflicts with the keyword.Note: Although the
DECIMAL
keyword is a reserved word, currently Impala does not supportDECIMAL
as a data type for columns.The query option formerly named
YARN_POOL
is now namedREQUEST_POOL
to reflect its broader use with the Impala admission control feature. See REQUEST_POOL Query Option for information about the option, and Admission Control and Query Queuing for details about its use with the admission control feature.There are some changes to the list of reserved words. See Impala Reserved Words for the most current list.
The names of aggregate functions are no longer reserved words, so you can have databases, tables, columns, or other objects named
AVG
,MIN
, and so on without any name conflicts.The internal function names
DISTINCTPC
andDISTINCTPCSA
are no longer reserved words, althoughDISTINCT
is still a reserved word.The keywords
CLOSE_FN
andPREPARE_FN
are now reserved words. See CREATE FUNCTION Statement for their role in theCREATE FUNCTION
statement, and Thread-Safe Work Area for UDFs for usage information.
The HDFS property
dfs.client.file-block-storage-locations.timeout
was renamed todfs.client.file-block-storage-locations.timeout.millis
, to emphasize that the unit of measure is milliseconds, not seconds. Impala requires a timeout of at least 10 seconds, making the minimum value for this setting 10000. If you are not using cluster management software, you might need to edit the hdfs-site.xml file in the Impala configuration directory for the new name and minimum value.
Incompatible Changes Introduced in Impala 1.2.4
There are no incompatible changes introduced in Impala 1.2.4.
Previously, after creating a table in Hive, you had to issue the INVALIDATE METADATA
statement with no table name, a potentially expensive operation on clusters with many databases, tables, and partitions. Starting in Impala 1.2.4, you can issue the statement INVALIDATE METADATA table_name
for a table newly created through Hive. Loading the metadata for only this one table is faster and involves less network overhead. Therefore, you might revisit your setup DDL scripts to add the table name to INVALIDATE METADATA
statements, in cases where you create and populate the tables through Hive before querying them through Impala.
Incompatible Changes Introduced in Impala 1.2.3
Because the feature set of Impala 1.2.3 is identical to Impala 1.2.2, there are no new incompatible changes. See Incompatible Changes Introduced in Impala 1.2.2 if you are upgrading from Impala 1.2.1 or 1.1.x.
Incompatible Changes Introduced in Impala 1.2.2
The following changes to SQL syntax and semantics in Impala 1.2.2 could require updates to your SQL code, or schema objects such as tables or views:
With the addition of the
CROSS JOIN
keyword, you might need to rewrite any queries that refer to a table namedCROSS
or use the nameCROSS
as a table alias:-- Formerly, 'cross' in this query was an alias for t1
-- and it was a normal join query.
-- In 1.2.2 and higher, CROSS JOIN is a keyword, so 'cross'
-- is not interpreted as a table alias, and the query
-- uses the special CROSS JOIN processing rather than a
-- regular join.
select * from t1 cross join t2...
-- Now if CROSS is used in other context such as a table or column name,
-- use backticks to escape it.
create table `cross` (x int);
select * from `cross`;
Formerly, a
DROP DATABASE
statement in Impala would not remove the top-level HDFS directory for that database. TheDROP DATABASE
has been enhanced to remove that directory. (You still need to drop all the tables inside the database first; this change only applies to the top-level directory for the entire database.)The keyword
PARQUET
is introduced as a synonym forPARQUETFILE
in theCREATE TABLE
andALTER TABLE
statements, because that is the common name for the file format. (As opposed to SequenceFile and RCFile where the “File” suffix is part of the name.) Documentation examples have been changed to prefer the new shorter keyword. ThePARQUETFILE
keyword is still available for backward compatibility with older Impala versions.- New overloads are available for several operators and built-in functions, allowing you to insert their result values into smaller numeric columns such as
INT
,SMALLINT
,TINYINT
, andFLOAT
without using aCAST()
call. If you remove theCAST()
calls fromINSERT
statements, those statements might not work with earlier versions of Impala.
Because many users are likely to upgrade straight from Impala 1.x to Impala 1.2.2, also read Incompatible Changes Introduced in Impala 1.2.1 for things to note about upgrading to Impala 1.2.x in general.
Incompatible Changes Introduced in Impala 1.2.1
The following changes to SQL syntax and semantics in Impala 1.2.1 could require updates to your SQL code, or schema objects such as tables or views:
In Impala 1.2.1 and higher, all
NULL
values come at the end of the result set forORDER BY ... ASC
queries, and at the beginning of the result set forORDER BY ... DESC
queries. In effect,NULL
is considered greater than all other values for sorting purposes. The original Impala behavior always putNULL
values at the end, even forORDER BY ... DESC
queries. The new behavior in Impala 1.2.1 makes Impala more compatible with other popular database systems. In Impala 1.2.1 and higher, you can override or specify the sorting behavior forNULL
by adding the clauseNULLS FIRST
orNULLS LAST
at the end of theORDER BY
clause.See NULL for more information.
The new catalogd service might require changes to any user-written scripts that stop, start, or restart Impala services, install or upgrade Impala packages, or issue REFRESH
or INVALIDATE METADATA
statements:
See Installing Impala, Upgrading Impala and Starting Impala, for usage information for the catalogd daemon.
The
REFRESH
andINVALIDATE METADATA
statements are no longer needed when theCREATE TABLE
,INSERT
, or other table-changing or data-changing operation is performed through Impala. These statements are still needed if such operations are done through Hive or by manipulating data files directly in HDFS, but in those cases the statements only need to be issued on one Impala node rather than on all nodes. See REFRESH Statement and INVALIDATE METADATA Statement for the latest usage information for those statements.See The Impala Catalog Service for background information on the catalogd service.
Incompatible Changes Introduced in Impala 1.2.0 (Beta)
There are no incompatible changes to SQL syntax in Impala 1.2.0 (beta).
The new catalogd service might require changes to any user-written scripts that stop, start, or restart Impala services, install or upgrade Impala packages, or issue REFRESH
or INVALIDATE METADATA
statements:
See Installing Impala, Upgrading Impala and Starting Impala, for usage information for the catalogd daemon.
The
REFRESH
andINVALIDATE METADATA
statements are no longer needed when theCREATE TABLE
,INSERT
, or other table-changing or data-changing operation is performed through Impala. These statements are still needed if such operations are done through Hive or by manipulating data files directly in HDFS, but in those cases the statements only need to be issued on one Impala node rather than on all nodes. See REFRESH Statement and INVALIDATE METADATA Statement for the latest usage information for those statements.See The Impala Catalog Service for background information on the catalogd service.
The new resource management feature interacts with both YARN and Llama services. See Resource Management for usage information for Impala resource management.
Incompatible Changes Introduced in Impala 1.1.1
There are no incompatible changes in Impala 1.1.1.
Previously, it was not possible to create Parquet data through Impala and reuse that table within Hive. Now that Parquet support is available for Hive 10, reusing existing Impala Parquet data files in Hive requires updating the table metadata. Use the following command if you are already running Impala 1.1.1:
ALTER TABLE table_name SET FILEFORMAT PARQUETFILE;
If you are running a level of Impala that is older than 1.1.1, do the metadata update through Hive:
ALTER TABLE table_name SET SERDE 'parquet.hive.serde.ParquetHiveSerDe';
ALTER TABLE table_name SET FILEFORMAT
INPUTFORMAT "parquet.hive.DeprecatedParquetInputFormat"
OUTPUTFORMAT "parquet.hive.DeprecatedParquetOutputFormat";
Impala 1.1.1 and higher can reuse Parquet data files created by Hive, without any action required.
As usual, make sure to upgrade the Impala LZO package to the latest level at the same time as you upgrade the Impala server.
Incompatible Change Introduced in Impala 1.1
- The
REFRESH
statement now requires a table name; in Impala 1.0, the table name was optional. This syntax change is part of the internal rework to makeREFRESH
a true Impala SQL statement so that it can be called through the JDBC and ODBC APIs.REFRESH
now reloads the metadata immediately, rather than marking it for update the next time any affected table is accessed. The previous behavior, where omitting the table name caused a refresh of the entire Impala metadata catalog, is available through the newINVALIDATE METADATA
statement.INVALIDATE METADATA
can be specified with a table name to affect a single table, or without a table name to affect the entire metadata catalog; the relevant metadata is reloaded the next time it is requested during the processing for a SQL statement. See REFRESH Statement and INVALIDATE METADATA Statement for the latest details about these statements.
Incompatible Changes Introduced in Impala 1.0
- If you use LZO-compressed text files, when you upgrade Impala to version 1.0, also update the Impala LZO package to the latest level. See Using LZO-Compressed Text Files for details.