Ths patch reverts a change that broke the exhaustive suite of Impala
tests. The change was introduced here:
ce4c5f6743
The orginal problem was that data load was failing when run against a
remote cluster, due to a 4000 byte max for SERDEPROPERTIES.PARAM_VALUE,
a limitation that is well described in HIVE-1364. Locally, when we load
data, we work around the issue here:
https://github.com/apache/incubator-impala/blob/master/bin/create-test-configuration.sh#L99
When testing on CDH remote cluster however, this "fix" never gets applied.
(It also assumes the database will always by postgres.)
I made this change without realizing its full effect, or appreciating
exactly how exhaustive our exhaustive test suite really is. Another
solution will need to be found for the case of remote cluster testing,
but this should unblock the local build for now.
As far as testing, I ran the full suite of tests in query_test/
test_scanners.py, and they all pass after removing these lines.
Change-Id: If2148d6546789c6c53c8e045717081b24ce76689
Reviewed-on: http://gerrit.cloudera.org:8080/5033
Reviewed-by: Dan Hecht <dhecht@cloudera.com>
Tested-by: Internal Jenkins
This patch lays the groundwork for loading data and running end-to-end
tests on a remote CDH cluster. The requirements for the cluster to run
the tests are:
- Managed by Cloudera Manager (CM)
- GPL Extras need to be installed
- KMS and KeyTrustee installed and available as a service
- SERDEPROPERTIES in the Hive DB modified to accept wide tables
- Hive warehouse dir points to /test-warehouse
The actual data loading is done via a new script, remote_data_load.py,
which takes the CM host as an argument. It can be run from a client
machine that is not a node of the cluster, but it needs to have the
Impala repo checked out and Impala built. This insures that all of the
necessary data load scripts are available, as well as setting up the
environment properly (client binaries like beeline and the hbase shell
are available, python libraries like cm_api are installed, necessary
environment variables are defined, etc.)
It should be noted that running remote_data_load.py will overwrite
any local XML config files with the configurations downloaded from
the remote cluster.
Usage: remote_data_load.py [options] <cm_host address>
Options:
-h, --help show this help message and exit
--snapshot-file=SNAPSHOT_FILE
Path to the test-warehouse archive
--cm-user=CM_USER Cloudera Manager admin user
--cm-pass=CM_PASS Cloudera Manager admin user password
--gateway=GATEWAY Gateway host to upload the data from. If not
set, uses the CM host as gateway.
--ssh-user=SSH_USER System user on the remote machine with
passwordless SSH configured.
--no-load Do not try to load the snapshot
--exploration-strategy=EXPLORATION_STRATEGY
--test Run end-to-end tests against cluster
Testing:
This patch is being submitted with the understanding that there are
still clean up issues that need to be addressed in the remote data
load script, for which JIRA's have been filed.
However, since many of the existing build scripts also had to be
modified, it is more important to make sure that no regressions were
inadvertently introduced into the existing data load process. Loading
data to a local mini-cluster was checked repeatedly while this patch
was being developed, as well as running it against the Jenkins job
that provides the test-warehouse snapshot used by the many other
Impala CI builds that run daily.
Change-Id: I1f443a1728a1d28168090c6f54e82dec2cb073e9
Reviewed-on: http://gerrit.cloudera.org:8080/4769
Reviewed-by: Taras Bobrovytsky <tbobrovytsky@cloudera.com>
Tested-by: Internal Jenkins
This patch prevents an invalid decimal type in an Avro file schema from
crashing Impala. Most invalid Avro schemas are caught by the frontend,
but file schemas still need to be validated by the backend.
After this patch files with bad schemas are skipped.
Testing:
This was hit very rarely by the scanner fuzzing. Added a regression test that
scans a file with a bad schema.
Change-Id: I25a326ee2220bc14d3b5f887dc288b4adf859cfc
Reviewed-on: http://gerrit.cloudera.org:8080/4876
Reviewed-by: Tim Armstrong <tarmstrong@cloudera.com>
Tested-by: Internal Jenkins
This change removes some of the occurrences of the strings 'CDH'/'cdh'
from the Impala repository. References to Cloudera-internal Jiras have
been replaced with upstream Jira issues on issues.cloudera.org.
For several categories of occurrences (e.g. pom.xml files,
DOWNLOAD_CDH_COMPONENTS) I also created a list of follow-up Jiras to
remove the occurrences left after this change.
Change-Id: Icb37e2ef0cd9fa0e581d359c5dd3db7812b7b2c8
Reviewed-on: http://gerrit.cloudera.org:8080/4187
Reviewed-by: Jim Apple <jbapple@cloudera.com>
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Tested-by: Internal Jenkins
Adds initial support for the functional-query test workload
for Kudu tables.
There are a few issues that make loading the functional
schema difficult on Kudu:
1) Kudu tables must have one or more columns that together
constitute a unique primary key.
a) Primary key columns must currently be the first columns
in the table definition (KUDU-1271).
b) Primary key columns cannot be nullable (KUDU-1570).
2) Kudu tables must be specified with distribution
parameters.
(1) limits the tables that can be loaded without ugly
workarounds. This patch only includes important tables that
are used for relevant tests, most notably the alltypes*
family. In particular, alltypesagg is important but it does
not have a set of columns that are non-nullable and form a unique
primary key. As a result, that table is created in Kudu with
a different name and an additional BIGINT column for a PK
that is a unique index and is generated at data loading time
using the ROW_NUMBER analytic function. A view is then
wrapped around the underlying table that matches the
alltypesagg schema exactly. When KUDU-1570 is resolved, this
can be simplified.
(2) requires some additional considerations and custom
syntax. As a result, the DDL to create the tables is
explicitly specified in CREATE_KUDU sections in the
functional_schema_constraints.csv, and an additional
DEPENDENT_LOAD_KUDU section was added to specify custom data
loading DML that differs from the existing DEPENDENT_LOAD.
TODO: IMPALA-4005: generate_schema_statements.py needs refactoring
Tests that are not relevant or not yet supported have been
marked with xfail and a skip where appropriate.
TODO: Support remaining functional tables/tests when possible.
Change-Id: Iada88e078352e4462745d9a9a1b5111260d21acc
Reviewed-on: http://gerrit.cloudera.org:8080/4175
Reviewed-by: Matthew Jacobs <mj@cloudera.com>
Tested-by: Internal Jenkins
The bug: We used to register privilege requests for table refs in TableRef.analyze()
which only got called for unresolved TableRefs. As a result, a reference to a view that
contains a subquery did not get properly authorized, explained as follows.
1. In the first analysis pass the view is replaced by a an InlineViewRef and we
correctly register an authorizarion request.
2. We rewrite the subquery via the StmtRewriter and wipe the analysis state, but
preserve the InlineViewRef that replaces the view reference.
3. The rewritten statement is analyzed again, but since an InlineViewRef is
considered to be resolved, we never call TableRef.analyze(), and hence
never register an authorization event for the view.
The fix: We now register authorization and auditing events when calling analyze() on a
resolved TableRef (BaseTableRef, InlineViewRef, CollectionTableRef).
Change-Id: I18fa8af9a94ce190c5a3c29c3221c659a2ace659
Reviewed-on: http://gerrit.cloudera.org:8080/3783
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Tested-by: Internal Jenkins
Added checks/error handling:
* Negative string lengths while decoding dictionary or data page.
* Buffer overruns while decoding dictionary or data page.
* Some metadata FILECHECKs were converted to statuses.
Testing:
Unit tests for:
* decoding of strings with negative lengths
* truncation of all parquet types
* dictionary creation correctly handling error returns from Decode().
End-to-end tests for handling of negative string lengths in
dictionary- and plain-encoded data in corrupt files, and for
handling of buffer overruns for string data. The corrupted
parquet files were generated by hacking Impala's parquet
writer to write invalid lengths, and by hacking it to
write plain-encoded data instead of dictionary-encoded
data by default.
Performance:
set num_nodes=1;
set num_scanner_threads=1;
select * from biglineitem where l_orderkey = -1;
I inspected MaterializeTupleTime. Before the average was 8.24s and after
was 8.36s (a 1.4% slowdown, within the standard deviation of 1.8%).
Change-Id: Id565a2ccb7b82f9f92cc3b07f05642a3a835bece
Reviewed-on: http://gerrit.cloudera.org:8080/3387
Reviewed-by: Tim Armstrong <tarmstrong@cloudera.com>
Tested-by: Internal Jenkins
This patch adds error checking to the Avro scanner (both the codegen'd
and interepted paths), including out-of-bounds checks and data
validity checks.
I ran a local benchmark using the following queries:
set num_scanner_threads=1;
select count(i) from default.avro_bigints_big; # file contains only longs
select max(l_orderkey) from biglineitem_avro; # file has tpch.lineitem schema
Both benchmark queries see negligable or no performance impact.
This patch adds a new Avro scanner unit test and an end-to-end test
that queries several corrupted files, as well as updates the zig-zag
varlen int unit test.
Change-Id: I801a11c496a128e02c564c2a9c44baa5a97be132
Reviewed-on: http://gerrit.cloudera.org:8080/3072
Reviewed-by: Dan Hecht <dhecht@cloudera.com>
Tested-by: Internal Jenkins
Adds a query option 'strict_mode' which treats integer and
floating pt overflows as parse errors. In the past,
overflows were ignored and the max value was returned. When
this query option is set, overflowing values are treated as if
they were completely invalid data, i.e. NULL is returned.
When abort_on_error is enabled, this means the query is
aborted.
Notes:
* DECIMAL overflow/underflow is already treated as an error.
* The handling in text-converter treats underflows the same
as overflows, so they would result in the same behavior.
However, floating point parsing never returns an underflow
today.
* We may also want to handle numeric values that are truncated
when parsing to integer types, e.g. 10.5 -> 10.
Change-Id: I7409c31ec0cb6fe0b2d9842b9f58fe1670914836
Reviewed-on: http://gerrit.cloudera.org:8080/3150
Reviewed-by: Matthew Jacobs <mj@cloudera.com>
Tested-by: Internal Jenkins
For IMPALA-1740 we added a test to insert.test, which creates a table and
inserts data. The table was created on HDFS by default and thus inserts with
compression enabled did not work. This change adds the required table to the
functional schema in the same way we do it for the other insert tests.
Change-Id: Ie68e7067b7a16218d27935820d5d1ce7035d2e6c
Reviewed-on: http://gerrit.cloudera.org:8080/2919
Reviewed-by: Tim Armstrong <tarmstrong@cloudera.com>
Tested-by: Internal Jenkins
HIVE-5795 introduced a parameter skip.header.line.count to skip header
lines from input files. This change introduces the capability to skip
an arbitrary number of header lines from csv input files on hdfs. The
size of the total file header must be smaller than
max_scan_range_length, otherwise an error will be reported. This is
necessary because scan ranges are not read in disk order, so there is
no way of identifying header lines except by counting from the start
of the first scan range.
[localhost:21000] > alter table t1 set
tblproperties('skip.header.line.count'='1');
Query: alter table t1 set tblproperties('skip.header.line.count'='1')
[localhost:21000] > select * from t1;
Query: select * from t1
+----+----+
| c1 | c2 |
+----+----+
| 1 | 1 |
| 2 | 2 |
| 3 | 3 |
+----+----+
Fetched 3 row(s) in 0.32s
[localhost:21000] > alter table t1 set
tblproperties('skip.header.line.count'='0');
Query: alter table t1 set tblproperties('skip.header.line.count'='0')
[localhost:21000] > select * from t1;
Query: select * from t1
+------+------+
| c1 | c2 |
+------+------+
| NULL | NULL |
| 1 | 1 |
| 2 | 2 |
| 3 | 3 |
+------+------+
WARNINGS: Error converting column: 0 TO INT (Data is: num1)
Error converting column: 1 TO DOUBLE (Data is: num2)
file: hdfs://localhost:20500/test-warehouse/t1/test.txt
record: num1,num2
Fetched 4 row(s) in 0.41s
Change-Id: I595f01a165d41499ca1956fe748ba3840a6eb543
Reviewed-on: http://gerrit.cloudera.org:8080/2110
Reviewed-by: Lars Volker <lv@cloudera.com>
Tested-by: Internal Jenkins
These tests functionally test whether the following type of files
are able to be scanned properly:
1) Add a parquet file with multiple blocks such that each node has to
scan multiple blocks.
2) Add a parquet file with multiple blocks but only one row group
that spans the entire file. Only one scan range should do any work
in this case.
Change-Id: I4faccd9ce3fad42402652c8f17d4e7aa3d593368
Reviewed-on: http://gerrit.cloudera.org:8080/1500
Reviewed-by: Sailesh Mukil <sailesh@cloudera.com>
Tested-by: Internal Jenkins
This merges the 'feature/kudu' branch with cdh5-trunk as of commit:
055500cc753f87f6d1c70627321fcc825044e183
This patch is not a pure merge patch in the sense that goes beyond conflict
resolution to also address reviews to the 'feature/kudu' branch as a whole.
The review items and their resolution can be inspected at:
http://gerrit.cloudera.org:8080/#/c/1403/
Change-Id: I6dd4270cd17a4f5c02811c343726db3504275a92
Fix a bug in which Impala only reads the first stream
of a multi-stream bz2/gzip file.
Changes the bz2 decoder to read the file in a streaming
fashion rather than reading the entire file into memory
before it can be decompressed.
Change-Id: Icbe617d03a69953f0bf3aa0f7c30d34bc612f9f8
(cherry picked from commit b6d0b4e059329633dc50f1f73ebe35b7ac317a8e)
Reviewed-on: http://gerrit.cloudera.org:8080/2219
Reviewed-by: Juan Yu <jyu@cloudera.com>
Tested-by: Internal Jenkins
There was an incorrect DCHECK in the parquet scanner. If abort_on_error
is false, the intended behaviour is to skip to the next row group, but
the DCHECK assumed that execution should have aborted if a parse error
was encountered.
This also:
- Fixes a DCHECK after an empty row group. InitColumns() would try to
create empty scan ranges for the column readers.
- Uses metadata_range_->file() instead of stream_->filename() in the
scanner. InitColumns() was using stream_->filename() in error
messages, which used to work but now stream_ is set to NULL before
calling InitColumns().
Change-Id: I8e29e4c0c268c119e1583f16bd6cf7cd59591701
Reviewed-on: http://gerrit.cloudera.org:8080/1257
Reviewed-by: Dan Hecht <dhecht@cloudera.com>
Tested-by: Internal Jenkins
Impala supports reading Parquet files with multiple row groups but
with possible performance degradation due to remote reads. This patch
maximizes scan locality by allowing multiple impalads to scan the
rowgroups in their local splits. Each impalad starts a new scan range
for each split local to it if that split contains row group(s) that
need to be scanned.
Change-Id: Iaecc5fb8e89364780bc59dbfa9ae51d0d124d16e
Reviewed-on: http://gerrit.cloudera.org:8080/908
Reviewed-by: Sailesh Mukil <sailesh@cloudera.com>
Tested-by: Internal Jenkins
This patch modifies the Parquet scanner to resolve nested schemas, and
read and materialize collection types. The high-level modification is
to create a CollectionColumnReader that recursively materializes map-
and array-type slots.
This patch also adds many tests, most of which query a new table
called complextypestbl. This table contains hand-generated data that
is meant to expose edge cases in the scanner. The tests mostly test
the scanner, with a few tests of other functionality (e.g. array
serialization).
I ran a local benchmark comparing this scanner code to the original
scanner code on an expanded version of tpch_parquet.lineitem with
48009720 rows. My benchmark involved selecting different numbers of
columns with a single scanner thread, and I looked at the HDFS scan
node time in the query profiles. This code introduces a 10%-20%
regression in single-threaded scan time.
Change-Id: Id27fb728934e8346444f61752c9278d8010e5f3a
Reviewed-on: http://gerrit.cloudera.org:8080/576
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Tested-by: Internal Jenkins
The limitation of the Avro JSON library not to handle \u0000 characters
is to avoid problems with builtin functions like strlen() that would
report wrong length when encountering such a character. Now, in the
case if Impala, for now, we don't support any Unicode characters.
This allows us to actually skip the \u0000 character instead of
interpreting it.
It is important to say that even the most recent versions of Avro do
not support parsing \u0000 characters.
Change-Id: I56dfa7f0f12979fe9705c51c751513aebce4beca
Reviewed-on: http://gerrit.cloudera.org:8080/712
Tested-by: Internal Jenkins
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Before this patch, we used to accept any query referencing complex
types, regardless of the table/partition's file format being scanned.
We would ultimately hit a DCHECK in the BE when attempting to scan
complex types of a table/partition with an unsupported format.
This patch makes queries fail gracefully during planning if a scan
would access a table/partition in a format for which we do not
support complex types.
For mixed-format partitioned Hdfs tables we perform this check
at the partition granularity, so such a table can be scanned as
long as only partitions with supported formats are accessed.
HBase tables with complex-typed columns can be scanned as long as
no complex-typed columns are accessed in the query.
Change-Id: I2fd2e386c9755faf2cfe326541698a7094fa0ffc
Reviewed-on: http://gerrit.cloudera.org:8080/705
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Tested-by: Internal Jenkins
Hive allows creating Avro tables without an explicit Avro schema since 0.14.0.
For such tables, the Avro schema is inferred from the column definitions,
and not stored in the metadata at all (no Avro schema literal or Avro schema file).
This patch adds support for loading the metadata of such tables, although Impala
currently cannot create such tables (expect a follow-on patch).
Change-Id: I9e66921ffbeff7ce6db9619bcfb30278b571cd95
Reviewed-on: http://gerrit.cloudera.org:8080/538
Reviewed-by: Alex Behm <alex.behm@cloudera.com>
Tested-by: Internal Jenkins
The patch that addressed IMPALA-2130 (7c7e69b) creates a new table intended
only to be used in a test that uses the functional_parquet database.
This patch has a mistake though in schema_constraints which essentially
allows the creation of this table for all types and not only for
parquet/none/none.
Change-Id: I1d72b30557cb9d8f47fe27170808fec75af3bb1d
Reviewed-on: http://gerrit.cloudera.org:8080/524
Reviewed-by: Ippokratis Pandis <ipandis@cloudera.com>
Tested-by: Internal Jenkins
This patch corrects a mistake in the Parquet magic file number verification
and adds a test about it. Note that with this patch Impala may fail to read
Parquet files with wrong magic number that it used to read before.
Change-Id: Iff31accda1e1d541946ef1f750e38886ce4cb8d5
Reviewed-on: http://gerrit.cloudera.org:8080/515
Reviewed-by: Ippokratis Pandis <ipandis@cloudera.com>
Tested-by: Internal Jenkins
This table's test data contains rows whose the first column
is null. As that column is select as primary key in Kudu this
makes it so we try to insert a row with a NULL key, when loading
test data, which makes data loading fail.
This patch just removes this table from the set of test tables
used in Kudu and makes it so KuduPlannerTest uses another table.
Change-Id: I50664d29509716c8ac995fe8fbcee46233124c78
Reviewed-on: http://gerrit.sjc.cloudera.com:8080/6989
Tested-by: David Alves <david.alves@cloudera.com>
Reviewed-by: Martin Grund <mgrund@cloudera.com>
Tested-by: jenkins
This allows to specify split keys in Kudu's CREATE TABLE statement as part
of the key/value pairs in TBLPROPERTIES.
Splits are expected to be specified in as json arrays of arrays: [[key1], [key2], ...]
'key1', 'key2 might be single values or comma separated lists of values, depending
on whether the table has a simple of compound primary key.
This also adds a series of test tables to be created for the kutu table format
when load-data.py is executed.
Change-Id: I1824199fda14abb2d7352800789f2b9c2f2124ae
Reviewed-on: http://gerrit.sjc.cloudera.com:8080/6974
Tested-by: jenkins
Reviewed-by: Martin Grund <mgrund@cloudera.com>
This starts a kudu mini-cluster with a master and three tablet servers
on a single host. This requires to have a checkout of the kudu-bin
project accessible. By default the location of the checkout is expected
to be $IMPALA_HOME/../kudu-bin.
In addition, this patch enables loading data to kudu via the
load-data.py command. Currently only the "liketbl" is created for Kudu,
but not laoded with data. This has to be done manually from the kudu-bin
repo for now.
Change-Id: Ia7981b023f119759e5e13e78322a6c89f82bd085
Reviewed-on: http://gerrit.sjc.cloudera.com:8080/6499
Tested-by: jenkins
Reviewed-by: David Alves <david.alves@cloudera.com>
The hardcoded timezone information is from Java version 1.7.0_76.
Change-Id: I32c40d0036473079e5bfd4d0252a648cbb0e7c23
Reviewed-on: http://gerrit.cloudera.org:8080/393
Reviewed-by: Juan Yu <jyu@cloudera.com>
Tested-by: Internal Jenkins
When running with a release build, NULL would be returned when
reading values from required fields in parquet files (with a debug
build a DCHECK would be hit).
Previously when the max definition level for a field was 0 (which
happens if a field is required), the definition level for value was
incorrectly set to 1. The max definition level is related to nested
data and is defined to be the number of nullable fields that will be
encountered when traversing a path to reach the desired end field.
For example, if a nested schema has a path a.b.c.d where b and d are
nullable then the max def level is 2. A def level is attached to each
value to indicate the number of optional values that are present (in
the previous example an def level of 2 means both b and d are not
null). So having a def level for a value that is greater than the max
def level for a field should never happen.
Change-Id: Ia91a97cf79e672c420d10416c6817f0930dcc920
(cherry picked from commit cdd67e4c7fd62d5b08adfaa303d7bb2382e6932c)
Reviewed-on: http://gerrit.cloudera.org:8080/386
Reviewed-by: Casey Ching <casey@cloudera.com>
Tested-by: Internal Jenkins
This patch fixes an issue when an uninitialized, empty row is falsely
added to the rowbatch. The uninitialized data inside this row leads
later on to a crash when the null byte is checked together with the
offsets (that contains garbage).
The fix is to not only check for the number of materialized columns, but
as well for the number of materialized partition key columns. Only if both are
empty and the parser has an unfinished tuple, add the empty row.
To accommodate for the last row, check in FinishScanRange() if there is an
unfinished tuple with materialized slots or materialized partition key. Write
the fields if necessary.
Change-Id: I2808cc228e62d048d917d3a6352d869d117597ab
(cherry picked from commit c1795a8b40d10fbb32d9051a0e7de5ebffc8a6bd)
Reviewed-on: http://gerrit.cloudera.org:8080/364
Reviewed-by: Juan Yu <jyu@cloudera.com>
Tested-by: Internal Jenkins
I did a local benchmark and there's minimal performance impact(<1%)
Change-Id: I8d84a145acad886c52587258b27d33cff96ea399
(cherry picked from commit 7e750ad5d90007cc85ebe493af4dce7a537ad7c0)
Reviewed-on: http://gerrit.cloudera.org:8080/189
Reviewed-by: Juan Yu <jyu@cloudera.com>
Tested-by: Internal Jenkins
No changes to writing were made. No changes to reading Impala written
files were made.
Hive writes TIMESTAMP values to parquet files differently than Impala
does. Hive converts the value from local time to UTC before writing;
Impala does not. This change adds a startup flag that will convert UTC
to local when reading files written by Hive.
The Hive-file detection actually checks for "parquet-mr" (which is the
library Hive uses) in the file metadata. A slight possibility exists
that TIMESTAMP values written by something other than Hive but also
using parquet-mr may become incorrect. The possibility should be very
small because TIMESTAMP values are stored and encoded in a non-standard
way other applications are unlikely to be aware of.
Flags from be/src/exec/hdfs-parquet-scanner.cc:
-convert_legacy_hive_parquet_utc_timestamps (When true, TIMESTAMPs
read from files written by Parquet-MR (used by Hive) will be
converted from UTC to local time. Writes are unaffected.) type: bool
default: false
Change-Id: I79a499fe24049b7025ee2dd76c9c3e07010d346a
Reviewed-on: http://gerrit.cloudera.org:8080/35
Reviewed-by: Casey Ching <casey@cloudera.com>
Tested-by: Internal Jenkins
DistributedFileSystem is lenient about seeking past the end of the file.
Other FileSystem implementations, such as NativeS3FileSystem, return an
error on this condition. That leads to a scary looking message in the
query warnings.
So, when creating scan ranges, let's require that the ranges fall within
the file bounds (at least according to what the HdfsFileDesc indicates
is the length). There were a couple of kinds of AllocateScanRange()
callsites that needed to be fixed up:
1) When a stream wants to read past a scan range, be careful not to read
past the end of the file.
2) When Impala needs to "guess" at the length of a range, use the
file_length as an upper bound on the guess. We were already doing this
someplaces but not everywhere.
3) When the scan range is derived from parquet metadata, validate the
metadata against file_length and issue appropriate errors. This will
give better diagnostics for corrupt files.
Note that we can't rely on this for safety (HdfsFileDesc file_length may
be stale), but it does mean that when metadata is up-to-date Impala will
no longer try to access beyond the end of files (and so we'll no longer
get false positive errors from the filesystem).
Additionally, this change revealed a pre-existing problem with files
that have multiple row-groups. The first time through InitColumns(),
stream_ was set to NULL. But, stream_->filename could potentially be
accessed when constructing error statuses for subsequent row-groups.
Change-Id: Ia668fa8c261547f85a18a96422846edcea57043e
Reviewed-on: http://gerrit.sjc.cloudera.com:8080/5424
Reviewed-by: Daniel Hecht <dhecht@cloudera.com>
Tested-by: jenkins
Compressed text formats currently require entire compressed
files be read into memory to be decompressed in a single call
to the decompression codec. This changes the HdfsTextScanner
to drive gzip in a streaming mode, i.e. produce partial output
as input is consumed.
Change-Id: Id5c0805e18cf6b606bcf27a5df4b5f58895809fd
Reviewed-on: http://gerrit.sjc.cloudera.com:8080/5233
Reviewed-by: Matthew Jacobs <mj@cloudera.com>
Tested-by: jenkins
(cherry picked from commit 05c3cc55e7a601d97adc4eebe03f878c68a33e56)
Reviewed-on: http://gerrit.sjc.cloudera.com:8080/5385
columns
This commit fixes the issue where Impala hangs when querying an HBase
table with large (>500) number of columns. The issue was triggered by a
large memory allocation of a tuple buffer during the first GetNext call
of the HBase scanner that was causing an infinite loop where each iteration
was allocating a significant amount of memory. The fix is to dynamically
set the mem limit of a row batch based on the corresponding row size and to
dynamically set the maximum size of the tuple buffer so that it does not
exceed that limit.
Change-Id: Ia64f98b229772b50658af952fc641bf00f54f450
Reviewed-on: http://gerrit.sjc.cloudera.com:8080/4871
Reviewed-by: Dimitris Tsirogiannis <dtsirogiannis@cloudera.com>
Tested-by: jenkins
Reviewed-on: http://gerrit.sjc.cloudera.com:8080/4933
Fixed a bug when setting the length in reading/write text files for CHAR(N).
Also added chars_tiny table for testing CHAR(N) and VARCHAR(N).
Change-Id: If5d5db30afa4b00cf03c68c6a845f182970329f4
Reviewed-on: http://gerrit.sjc.cloudera.com:8080/4415
Reviewed-by: Victor Bittorf <victor.bittorf@cloudera.com>
Tested-by: jenkins
Changes include:
* Fix compile errors due to new column stats API and other stats related
fixes.
* Temporarily disable JDBC tests due to new serialization format in Hive .13
* Disable view compatibility tests until we can get them to work in Hive .13
* Test fixes due to Hive's type checking for partition column values
Change-Id: I05cc6a95976e0e037be79d91bc330a06d2fdc46c
This commit fixes IMPALA-1040 in which when an invalid value is inserted
to a decimal partitioned column through hive it results in a non
informative error message and in some cases in the associated table to
disappear from Impala's catalog. The fix results in a more informative
error message to always be thrown by Impala to indicate the insertion of
an invalid partition key value.
Change-Id: I2855ea69944e269fb7e02b3825f44e64352151e7
Reviewed-on: http://gerrit.ent.cloudera.com:8080/3062
Reviewed-by: Dimitris Tsirogiannis <dtsirogiannis@cloudera.com>
Tested-by: jenkins
Reviewed-on: http://gerrit.ent.cloudera.com:8080/3200
This commit fixes issue CDH-18969 where Impala returns wrong results
when querying an HBase table. This issue is triggered when a column family
sorts lexicographically before ":key", which is the column family of the
row key, thereby causing the wrong column to be used as a row key by the
backend.
The following changes are included:
1. Modified the load function in HBaseTable.java to make sure the
catalog object of an HBase table always stores the row key column first.
Change-Id: Icd7ebc973d81672c04d5c7c8bbabd813338d5eac
Reviewed-on: http://gerrit.ent.cloudera.com:8080/2513
Reviewed-by: Dimitris Tsirogiannis <dtsirogiannis@cloudera.com>
Tested-by: jenkins
Reviewed-on: http://gerrit.ent.cloudera.com:8080/2602
Allows reading decimal columns with or without codegen. Includes tests
based on a data file posted on HIVE-5823.
Change-Id: Ie541c6b98bd24543691850cb45a434af60b5a5a6
(cherry picked from commit 6983dcefdf70cce14724e17d03bc061ffb8f671c)
Reviewed-on: http://gerrit.ent.cloudera.com:8080/2596
Reviewed-by: Skye Wanderman-Milne <skye@cloudera.com>
Tested-by: jenkins
For wide Avro tables, ReadZLong() would get inlined many times into a
single function body, causing LLVM to crash. Not inlining doesn't seem
to have a performance impact on narrow tables, and helps with wide
tables.
This change also adds tests over wide (i.e. many-column) tables. The
test tables are produced by specifying shell commands to generate test
tables in functional_schema_template.sql, which are executed in
generate-schema-statements.py. In the SQL templates, sections starting
with a ` are treated as shell commands. The output of the shell
command is then used as the section text. This is only a starting
point; it isn't currently implemented for all sections, and may have
to be tweaked if we use this mechanism for all tables.
Change-Id: Ife0d857d19b21534167a34c8bc06bc70bef34910
Reviewed-on: http://gerrit.ent.cloudera.com:8080/2206
Reviewed-by: Skye Wanderman-Milne <skye@cloudera.com>
Tested-by: Skye Wanderman-Milne <skye@cloudera.com>
(cherry picked from commit 1c5951e3cce25a048208ab9bb3a3aed95e41cf67)
Reviewed-on: http://gerrit.ent.cloudera.com:8080/2353
Tested-by: jenkins
This patch modifies DelimitedTextParser and StringValue to work with
data containing null characters by using SSE instructions that take a
length, rather than expecting null-terminated strings. It also adds
some other minor changes to correctly handle data with nulls and to
faciliate testing. I checked the execution time of a count(*) and a
select(*) limit 1 query locally, and saw no difference for either text
or sequence files.
Change-Id: Ia920b35bea7048aa286f39ec83e313c2a39251d1
Reviewed-on: http://gerrit.ent.cloudera.com:8080/2110
Reviewed-by: Skye Wanderman-Milne <skye@cloudera.com>
Tested-by: Skye Wanderman-Milne <skye@cloudera.com>
Reviewed-on: http://gerrit.ent.cloudera.com:8080/2181
This fixes how we validate delimiters to be in line with Hive. A delimiter must
fit in a single byte and can be specified in the following formats, as far as I can
tell (there isn't documentation):
- A single ASCII or unicode character (ex. '|')
- An escape character in octal format (ex. \001. Stored in the metastore as a
unicode character: \u0001).
- A signed decimal integer in the range [-128:127]. Used to support delimiters
for ASCII character values between 128-255 (-2 maps to ASCII 254).
Previously, we were not handling the "signed integer" case so there was no way
to specify a delimiter in the "extended" ASCII range of 128-255.
To support result validation, the test infrastructure had to be updated to support
reading/writing different character encodings.
Change-Id: Ie3c4d444dc9c6e60192093ed0c0f6f151eab16bc
Reviewed-on: http://gerrit.ent.cloudera.com:8080/1848
Reviewed-by: Lenni Kuff <lskuff@cloudera.com>
Tested-by: jenkins
Reviewed-on: http://gerrit.ent.cloudera.com:8080/1888
With Hive .12, the default RC file format can be configured to be ColumnarSerDe or
LazyBinaryColumnarSerDe. Impala does not yet support the LazyBinaryColumnarSerDe. This change
verifies it is properly disabled.
Change-Id: Ia84495868237ce2c89a9706ad75e0f7eb8499057
Reviewed-on: http://gerrit.ent.cloudera.com:8080/1416
Reviewed-by: Lenni Kuff <lskuff@cloudera.com>
Tested-by: jenkins
Reviewed-on: http://gerrit.ent.cloudera.com:8080/1423
