Files
impala/docs/topics/impala_mem_limit.xml
Riza Suminto 98739a8455 IMPALA-13083: Clarify REASON_MEM_LIMIT_TOO_LOW_FOR_RESERVATION
This patch improves REASON_MEM_LIMIT_TOO_LOW_FOR_RESERVATION error
message by saying the specific configuration that must be adjusted such
that the query can pass the Admission Control. New fields
'per_backend_mem_to_admit_source' and
'coord_backend_mem_to_admit_source' of type MemLimitSourcePB are added
into QuerySchedulePB. These fields explain what limiting factor drives
final numbers at 'per_backend_mem_to_admit' and
'coord_backend_mem_to_admit' respectively. In turn, Admission Control
will use this information to compose a more informative error message
that the user can act upon. The new error message pattern also
explicitly mentions "Per Host Min Memory Reservation" as a place to look
at to investigate memory reservations scheduled for each backend node.

Updated documentation with examples of query rejection by Admission
Control and how to read the error message.

Testing:
- Add BE tests at admission-controller-test.cc
- Adjust and pass affected EE tests

Change-Id: I1ef7fb7e7a194b2036c2948639a06c392590bf66
Reviewed-on: http://gerrit.cloudera.org:8080/21436
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
2024-05-23 03:54:00 +00:00

252 lines
12 KiB
XML

<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE concept PUBLIC "-//OASIS//DTD DITA Concept//EN" "concept.dtd">
<concept id="mem_limit">
<title>MEM_LIMIT Query Option</title>
<titlealts audience="PDF">
<navtitle>MEM LIMIT</navtitle>
</titlealts>
<prolog>
<metadata>
<data name="Category" value="Impala"/>
<data name="Category" value="Impala Query Options"/>
<data name="Category" value="Scalability"/>
<data name="Category" value="Memory"/>
<data name="Category" value="Troubleshooting"/>
<data name="Category" value="Developers"/>
<data name="Category" value="Data Analysts"/>
</metadata>
</prolog>
<conbody>
<p>
The MEM_LIMIT query option defines the maximum amount of memory a query can allocate on
each node. The total memory that can be used by a query is the <codeph>MEM_LIMIT</codeph>
times the number of nodes.
</p>
<p rev="">
There are two levels of memory limit for Impala. The
<codeph>&#8209;&#8209;mem_limit</codeph> startup option sets an overall limit for the
<cmdname>impalad</cmdname> process (which handles multiple queries concurrently). That
process memory limit can be expressed either as a percentage of RAM available to the
process such as <codeph>&#8209;&#8209;mem_limit=70%</codeph> or as a fixed amount of
memory, such as <codeph>100gb</codeph>. The memory available to the process is based on
the host's physical memory and, since Impala 3.2, memory limits from Linux Control Groups.
E.g. if an <cmdname>impalad</cmdname> process is running in a Docker container on a host
with 100GB of memory, the memory available is 100GB or the Docker container's memory
limit, whichever is less.
</p>
<p rev="">
The <codeph>MEM_LIMIT</codeph> query option, which you set through
<cmdname>impala-shell</cmdname> or the <codeph>SET</codeph> statement in a JDBC or ODBC
application, applies to each individual query. The <codeph>MEM_LIMIT</codeph> query option
is usually expressed as a fixed size such as <codeph>10gb</codeph>, and must always be
less than the <cmdname>impalad</cmdname> memory limit.
</p>
<p rev="">
If query processing approaches the specified memory limit on any node, either the
per-query limit or the impalad limit, then the SQL operations will start to reduce
their memory consumption, for example by writing the temporary data to disk (known as spilling to disk).
The result is a query that completes successfully, rather than failing with an out-of-memory error.
The tradeoff is decreased performance due to the extra disk I/O to write the temporary data and
read it back in. The slowdown could potentially be significant. Thus, while this feature improves
reliability, you should optimize your queries, system parameters, and hardware configuration to
make this spilling a rare occurrence.
</p>
<p>
<b>Type:</b> numeric
</p>
<p rev="">
<b>Units:</b> A numeric argument represents memory size in bytes; you can also use a
suffix of <codeph>m</codeph> or <codeph>mb</codeph> for megabytes, or more commonly
<codeph>g</codeph> or <codeph>gb</codeph> for gigabytes. If you specify a value with
unrecognized formats, subsequent queries fail with an error.
</p>
<p rev="">
<b>Default:</b> 0 (unlimited)
</p>
<p conref="../shared/impala_common.xml#common/usage_notes_blurb"/>
<p rev="">
The <codeph>MEM_LIMIT</codeph> setting is primarily useful for production workloads.
Impala's Admission Controller can be configured to automatically assign memory limits to
queries and limit memory consumption of resource pools. See <xref href="impala_admission.xml#admission_concurrency"/>
and <xref href="impala_admission.xml#admission_memory"/> for more information on configuring
the resource usage through admission control.
</p>
<p rev="">
Use the output of the <codeph>SUMMARY</codeph> command in <cmdname>impala-shell</cmdname>
to get a report of memory used for each phase of your most heavyweight queries on each
node, and then set a <codeph>MEM_LIMIT</codeph> somewhat higher than that. See
<xref href="impala_explain_plan.xml#perf_summary"/> for usage information about the
<codeph>SUMMARY</codeph> command.
</p>
<p conref="../shared/impala_common.xml#common/example_blurb" rev=""/>
<p rev="">
The following examples show how to set the <codeph>MEM_LIMIT</codeph> query option using a
fixed number of bytes, or suffixes representing gigabytes or megabytes.
</p>
<codeblock rev="">
[localhost:21000] > set mem_limit=3000000000;
MEM_LIMIT set to 3000000000
[localhost:21000] > select 5;
Query: select 5
+---+
| 5 |
+---+
| 5 |
+---+
[localhost:21000] > set mem_limit=3g;
MEM_LIMIT set to 3g
[localhost:21000] > select 5;
Query: select 5
+---+
| 5 |
+---+
| 5 |
+---+
[localhost:21000] > set mem_limit=3gb;
MEM_LIMIT set to 3gb
[localhost:21000] > select 5;
+---+
| 5 |
+---+
| 5 |
+---+
[localhost:21000] > set mem_limit=3m;
MEM_LIMIT set to 3m
[localhost:21000] > select 5;
+---+
| 5 |
+---+
| 5 |
+---+
[localhost:21000] > set mem_limit=3mb;
MEM_LIMIT set to 3mb
[localhost:21000] > select 5;
+---+
| 5 |
+---+
</codeblock>
<p rev="">
The following examples show how unrecognized <codeph>MEM_LIMIT</codeph> values lead to
errors for subsequent queries.
</p>
<codeblock rev="">
[localhost:21000] > set mem_limit=3pb;
MEM_LIMIT set to 3pb
[localhost:21000] > select 5;
ERROR: Failed to parse query memory limit from '3pb'.
[localhost:21000] > set mem_limit=xyz;
MEM_LIMIT set to xyz
[localhost:21000] > select 5;
Query: select 5
ERROR: Failed to parse query memory limit from 'xyz'.
</codeblock>
<p rev="">
The following examples shows the automatic query cancellation when the
<codeph>MEM_LIMIT</codeph> value is exceeded on any host involved in the Impala query.
First it runs a successful query and checks the largest amount of memory used on any node
for any stage of the query. Then it sets an artificially low <codeph>MEM_LIMIT</codeph>
setting so that the same query cannot run.
</p>
<codeblock rev="">
[localhost:21000] > select count(*) from customer;
Query: select count(*) from customer
+----------+
| count(*) |
+----------+
| 150000 |
+----------+
[localhost:21000] > select count(distinct c_name) from customer;
Query: select count(distinct c_name) from customer
+------------------------+
| count(distinct c_name) |
+------------------------+
| 150000 |
+------------------------+
[localhost:21000] > summary;
+--------------+--------+--------+----------+----------+---------+------------+----------+---------------+---------------+
| Operator | #Hosts | #Inst | Avg Time | Max Time | #Rows | Est. #Rows | Peak Mem | Est. Peak Mem | Detail |
+--------------+--------+--------+----------+----------+---------+------------+----------+---------------+---------------+
| 06:AGGREGATE | 1 | 1 | 230.00ms | 230.00ms | 1 | 1 | 16.00 KB | -1 B | FINALIZE |
| 05:EXCHANGE | 1 | 1 | 43.44us | 43.44us | 1 | 1 | 0 B | -1 B | UNPARTITIONED |
| 02:AGGREGATE | 1 | 1 | 227.14ms | 227.14ms | 1 | 1 | 12.00 KB | 10.00 MB | |
| 04:AGGREGATE | 1 | 1 | 126.27ms | 126.27ms | 150.00K | 150.00K | 15.17 MB | 10.00 MB | |
| 03:EXCHANGE | 1 | 1 | 44.07ms | 44.07ms | 150.00K | 150.00K | 0 B | 0 B | HASH(c_name) |
<b>| 01:AGGREGATE | 1 | 1 | 361.94ms | 361.94ms | 150.00K | 150.00K | 23.04 MB | 10.00 MB | |</b>
| 00:SCAN HDFS | 1 | 1 | 43.64ms | 43.64ms | 150.00K | 150.00K | 24.19 MB | 64.00 MB | tpch.customer |
+--------------+--------+--------+----------+----------+---------+------------+----------+---------------+---------------+
[localhost:21000] > set mem_limit=15mb;
MEM_LIMIT set to 15mb
[localhost:21000] > select count(distinct c_name) from customer;
Query: select count(distinct c_name) from customer
ERROR:
Rejected query from pool default-pool: minimum memory reservation is greater than memory available to the query
for buffer reservations. Memory reservation needed given the current plan: 38.00 MB. Adjust MEM_LIMIT option
for the query to allow the query memory limit to be at least 70.00 MB. Note that changing the memory limit may
also change the plan. See 'Per Host Min Memory Reservation' in the query profile for more information about the
per-node memory requirements.</codeblock>
</conbody>
<concept id="mem_limit_executors">
<title>MEM_LIMIT_EXECUTORS Query Option</title>
<conbody>
<note>This is an advanced query option. Setting this query option is not recommended
unless specifically advised.</note>
<p>The existing <codeph>MEM_LIMIT</codeph> query option applies to all impala coordinators and
executors. This means that the same amount of memory gets reserved but coordinators
typically just do the job of coordinating the query and thus do not necessarily need all the
estimated memory. Blocking the estimated memory on coordinators blocks the memory to be used
for other queries.</p>
<p>The new <codeph>MEM_LIMIT_EXECUTORS</codeph> query option functions similarly to the
<codeph>MEM_LIMIT</codeph> option but sets the query memory limit only on executors. This
new option addresses the issue related to <codeph>MEM_LIMIT</codeph> and is recommended in
scenarios where the query needs much higher memory on executors compared with
coordinators.</p>
<p>Note that the <codeph>MEM_LIMIT_EXECUTORS</codeph> option does not work with
<codeph>MEM_LIMIT</codeph>. If you set both, only <codeph>MEM_LIMIT</codeph> applies.</p>
</conbody>
</concept>
<concept id="mem_limit_coordinators">
<title>MEM_LIMIT_COORDINATORS Query Option</title>
<conbody>
<note>This is an advanced query option. Setting this query option is not recommended
unless specifically advised.</note>
<p>The existing <codeph>MEM_LIMIT</codeph> query option applies to all impala coordinators and
executors. This means that the same amount of memory gets reserved but coordinators
typically just do the job of coordinating the query and thus do not necessarily need all the
estimated memory. Blocking the estimated memory on coordinators blocks the memory to be used
for other queries.</p>
<p>The new <codeph>MEM_LIMIT_COORDINATORS</codeph> query option functions similarly to the
<codeph>MEM_LIMIT</codeph> option but sets the query memory limit only on coordinators. This
new option addresses the issue related to <codeph>MEM_LIMIT</codeph> and is recommended in
scenarios where the query needs higher or lower memory on coordinators compared to the planner
estimates.</p>
<p>Note that the <codeph>MEM_LIMIT_COORDINATORS</codeph> option does not work with
<codeph>MEM_LIMIT</codeph>. If you set both, only <codeph>MEM_LIMIT</codeph> applies.</p>
</conbody>
</concept>
</concept>